1. Introduction
Modern industry is facing increasing demands for efficiency and competitiveness in the manufacturing of mechanical parts. In this context, additive technologies have become increasingly important in recent years as a viable solution for improving manufacturing processes.
Additive manufacturing, or 3D printing, has transformed modern manufacturing. One key area where additive technology has shown significant potential is in improving the geometric accuracy of polymer parts [
1,
2,
3,
4]. Conventional manufacturing methods often involve multiple, complicated steps, tools and processes that may result in errors and inconsistency in the finished part. In contrast, additive technology offers a novel approach that enables precise manufacturing on a layer-by-layer basis, resulting in improved geometric accuracy, reduced material waste and increased design flexibility [
5,
6,
7].
Geometric accuracy is a critical issue in industries such as aerospace, automotive, medicine and consumer goods. It refers to the degree of conformity between a manufactured part and its intended design specifications. Achieving high geometric accuracy ensures that parts fit perfectly, perform as intended, meet strict quality standards and a number of studies have accounted for production deviations of the reference model from the designed one [
8,
9]. Traditional manufacturing methods, such as injection moulding and CNC machining, have limitations when it comes to producing intricate and complex geometries, often requiring costly and time-consuming iterations to achieve the desired level of accuracy.
Additive technology represents a paradigm shift in that it enables parts with complex geometries to be produced directly from a digital design. The process starts with the creation of a 3D model by means of computer-aided design (CAD) software or, in some more complex cases, creating a data-driven system to optimise the additive manufacturing process according to specific constraints [
10]. The digital model, which serves as a roadmap for the additive manufacturing equipment, is then sliced into thin layers. The technology works by adding layer upon layer of material, often in the form of resins or polymers, which are selectively hardened or melted. Obviously, a number of parameters must be taken into account for the creation of parts using this technology, such as the deposition direction, which influences the mass distribution of the material [
11], the solidity ratio [
12,
13], the yield strength [
14] and many others.
The ability to produce complex shapes with high precision is one of the key benefits of additive manufacturing [
15,
16]. Traditional subtractive manufacturing is constrained by tooling limitations and may require multiple set-ups to achieve the desired form, resulting in accumulated inaccuracy. Additive technology, on the other hand, enables the creation of intricate and organic designs without the constraints of traditional tooling. This is particularly beneficial as additive manufacturing can optimise designs for both structural integrity [
17] and weight reduction in industries that require lightweight yet strong components.
Additive manufacturing also makes it possible to create internal structures which are otherwise impossible or extremely difficult to achieve using conventional methods. These structures, often referred to as lattice or cellular structures, can enhance the mechanical properties of polymer parts [
18]. Manufacturers can reduce overall material usage while maintaining or improving strength-to-weight ratios by strategically placing voids within a part. This not only contributes to greater geometric accuracy, but also to the conservation of resources and the sustainability of the manufacturing process [
19].
Realising the full potential of additive manufacturing to improve the geometric accuracy of polymer parts, however, remains challenging. Factors such as material selection, process parameters and post-processing techniques have a significant impact on the final accuracy of parts. Material properties such as viscosity, thermal expansion and cure behaviour can lead to variations in part dimensions during the additive manufacturing process. Additionally, inadequate cooling mechanisms, or uneven thermal distribution, can cause parts to warp and distort, affecting their overall accuracy and long-term dimensional stability, which may be affected by changes in temperature and humidity or exposure to ultraviolet radiation [
20].
Process parameters such as layer thickness, print speed and nozzle size need to be precisely controlled to ensure that the geometry is consistent. Any deviation from the optimum parameters can introduce errors that can lead to inaccuracies in the final part [
21]. In addition, challenges related to build orientation and support structures can affect accuracy. Certain geometries may require additional support during printing to prevent sagging or deformation. Removing this support may result in surface irregularities and dimensional changes.
To achieve the desired geometric accuracy, considering post-processing threats is also essential. Additively manufactured parts often require cleaning, curing and sometimes machining to refine surfaces and dimensions. Poor finishing can offset the benefits of additive manufacturing by introducing errors or inconsistencies that compromise geometric accuracy. Therefore, the development of reliable and efficient post-processing techniques is essential if the full potential of additive technology is to be realised.
Additive technology has revolutionised manufacturing by providing unprecedented opportunities to improve the geometric accuracy of polymer parts. Through layer-by-layer manufacturing, complex geometries can be achieved with precision and efficiency. This leads to reduced material waste [
22] increased design freedom and improved mechanical properties. While challenges remain in terms of material behaviour, process parameters and post-processing, ongoing research and technological advances are continually addressing these issues [
23].
The impact of additive technology on geometric accuracy transcends traditional industry boundaries, opening avenues for innovation in product design, healthcare and beyond. As materials and processes evolve, additive manufacturing is poised to further modernise manufacturing by pushing the boundaries of what is achievable in terms of geometric accuracy and design complexity. With continued interdisciplinary collaboration and advances in materials science and engineering, the potential for additive technology to transform the manufacturing landscape appears limitless, offering a future where precision and complexity converge in harmony.
The stages of this article are summarised in a graphical abstract based on the logic of the initiation and conduct of the study.
2. Literature Review
In order to highlight the research that has been undertaken in this area of engineering, a keyword-based, in-depth review of some relevant articles exploring the complex relationship between polymer materials, geometric features and FDM additive technology is provided. It covers a wide range of critical issues, from process parameter and material selection to geometric optimisation, mechanical behaviour, surface finish, tolerances and innovative applications in diverse fields and sustainability. The synthesis of these articles provides a valuable insight into both the challenges and opportunities that FDM presents for creating complex, customised and sustainable geometries using different polymer materials.
Budzik et al. [
24] introduced a quality control approach tailored to polymer additive manufacturing products, with the specific methodology varying according to the application. Designs are divided into two groups: those for visual presentation and those directly supporting the manufacturing process. In addition, the authors propose a comprehensive control system that is in line with the requirements of Industry 4.0. There are three stages in the quality control process, data control, manufacturing control and post-processing control, based on the use of models. Various materials were used in the research, such as RGD 720 photopolymer resin (PolyJet method), ABS M30 thermoplastic resin (FDM method), E-partial photopolymer resin (DLP method), PLA thermoplastic resin (FFF method) and ABS thermoplastic resin (MEM method). The accuracy of the measurement equipment used was significantly higher than the accuracy of the production technologies used. The results show that the PolyJet method is the most accurate, while the MEM method is considered to be the least accurate. In addition, it highlights the importance of considering not only model specificity and purpose, but also economic factors in the selection of materials, 3D printing techniques and measurement methods, as not all products require high levels of accuracy and durability.
In recent years, there has been a significant focus on additive technology. This is largely due to its remarkable ability to produce intricate shapes and its suitability for creating customised products. Recognising the pivotal role of additive manufacturing in shaping the future of manufacturing, product design, process development, material selection and many other aspects have been comprehensively studied [
25]. Particularly in design methodologies, a variety of design approaches have been proposed specifically for additive manufacturing. Several computer-assisted programmes have been developed, including those based on geometric modelling, bio-inspired design, evolutionary algorithms and topological optimisation. However, the authors have identified a potential problem in the way these methods are often referred to as ‘design for additive manufacturing’ without specification of the specific additive manufacturing process. This lack of specificity could prove challenging, as a generalised design approach may not match the best practices for a particular additive manufacturing process. Therefore, a thorough literature review focusing on design methodologies for 3D polymer printing using material extrusion is the main objective of this paper. While highlighting areas of research that are still underdeveloped, the paper aims to provide a comprehensive overview of the current state of the field.
The creation of complex components based on computer-designed designs is promised using 3D printing for tooling and rapid manufacturing. However, the inherent limitations in the mechanical properties and functionality of pure polymer print parts necessitate the development of higher-performance printable polymer composites. Three-dimensional printing is an attractive method for producing composites due to its advantages such as precision, cost-effectiveness and customisable shapes. Wang X. et al. [
26] reviews 3D printing techniques for polymer composites, examines the properties and performance of resulting printed composite parts and explores potential biomedical, electronics and aerospace applications. It presents common 3D printing methods including fused deposition modelling, selective laser sintering, inkjet 3D printing, stereolithography and 3D scanning. The formation process and the performance of composite materials reinforced with particles, fibres and nanomaterials will be highlighted. Finally, as a catalyst for future research in 3D printing, the main limitations are identified.
Kermavnar T. et al. [
27] investigated the use of additive manufacturing (AM) in developing ergonomically designed products, focusing on customisation and iterative design. To examine methodological aspects of studies in this area, they conducted a systematic literature review. The search included terms like ‘3D printing’*, ‘additive manufacturing’* and ‘human factors’. Inclusion criteria included studies that described in detail the use of AM for the ergonomic design of products/prototypes, together with a comprehensive description of the ergonomic testing methodology used. A total of forty studies were identified from a variety of fields, including medicine, assistive technology, wearable technology, hand tools and test equipment. The predominant technology used was fused deposition moulding using polylactic acid. However, acrylonitrile–butadiene–styrene emerged as the preferred material. Various methods were used to evaluate the products, including objective, subjective, qualitative and quantitative. Recommendations to guide the selection of the most appropriate AM technologies and materials for specific ergonomic applications were made on the basis of these findings.
Mwema F.M. et al. [
28] also demonstrate the use of dimensional analysis and microscopy to assess the quality of home-made 3D-printed parts. Using an inexpensive fused deposition modelling (FDM) 3D printer, they produced several common geometric shapes using PLA filament. These included circles, diamonds, hollow shapes, squares and S-shapes. These designs were first created as 3D computer-aided design (CAD) models, and the G-codes required for printing were generated using CURA’s slicing software. After the printing process was completed, they carefully measured the dimensions of the printed components and then compared these measurements to the specifications in the CAD models. Their analysis revealed notable discrepancies in certain areas, particularly the tips of the diamond shapes, the corners of the shapes and the thickness of the S shapes. Optical microscopy was then used to investigate the causes of this variation. Their microscopic analysis revealed that the main cause of the dimensional variation was insufficient fusion of the filament material during the printing process. This finding, particularly in areas where fusion needs to be improved, provides valuable information for improving the quality and precision of the 3D printing process.
Additive manufacturing (AM) or 3D printing offers several key advantages, including design flexibility, personalised mass production, waste reduction, the capability to create intricate structures, and rapid prototyping. This review thoroughly covers the main 3D printing techniques, materials, and their cutting-edge applications. It specifically highlights significant breakthroughs in the use of AM in diverse fields such as biomedical, aerospace, construction, and protective structures. The current state of materials development in 3D printing is explored, encompassing metal alloys, polymer composites, ceramics, and concrete. Ngo D.T. et al. [
29] also addresses the essential challenges in AM processing, including issues like void formation, anisotropic behaviour, computational design limitations, and the noticeable layered appearance of printed objects. In summary, this paper serves as an all-encompassing overview of 3D printing, presenting both its advantages and disadvantages, rendering it a valuable reference for future research and development endeavours.
It is essential to understand the variations in both geometric and mechanical properties of components to effectively design and optimise them for additive manufacturing (AM) processes. Mueller J. et al. [
30] focus on a systematic investigation of these variations in 3D-printed structures. The first objective is to analyse the various parameters that influence the process as a whole. The aim is to identify and quantify the parameters that lead to the most precise geometry and superior mechanical properties. Once this comprehensive understanding has been gained, it will be possible to produce accurate models of the components and then to optimise the manufacturing process. Successful manufacture and testing of the components follow from this optimisation. The research identifies several significant factors that affect mechanical properties, ranked in decreasing order of influence: the number of intersections between layers and nozzles in the direction perpendicular to the load, the exposure time to ultraviolet light during printing, the position of the structure on the printing table and the expiration date of the raw material used. Problems such as nozzle blockage have a significant effect on the geometry of the printed structures, and the warm-up time of the machine also plays an important role. It is worth noting that surface roughness is not affected by any of these factors, although storage time plays a minor role. Given the rapidly changing nature of the AM materials landscape, it is important to recognise that the characterisation process will need to be iterative. The research demonstrates how the Design of Experiments (DOE) method can be effectively used to create a cost- and time-efficient design with a high degree of statistical accuracy. This allows researchers and manufacturers to remain agile and adapt to evolving materials and conditions.
For prototyping and low-volume production of functional parts, additive manufacturing is a valuable and accessible tool. Commonly used materials include polylactic acid (PLA) and thermoplastic polyurethane (TPU). The characterisation of 3D-printed PLA and TPU is essential for effective design and finite element modelling of functional parts. Taking into account design parameters such as size and filler content, Elmrabet N. et al. [
31] investigates the mechanical properties of additively manufactured PLA/TPU samples. PLA/TPU 3D-printed parts were produced using ISO standard geometries with 20%, 60% and 100% infill. Tensile and compression test results indicate that conventional ISO test standards may not fully characterise 3D-printed materials for finite element modelling or practical applications. The interplay between infill and build size significantly affects the mechanical performance of 3D-printed parts. Varying the size of the part can cause mechanical properties to differ between large and small sections of the same part. For small cross-section parts, where reducing the nominal infill had a milder effect on the resulting samples, this effect was less pronounced. The results suggest that material properties may not be homogeneous in 3D-printed functional parts with significant dimensional differences between sections [
32]. This is an important consideration for designers who are using 3D printing in applications that involve mechanical loading.
Several studies have focused on cellular metamaterials inspired by nature, leading to global innovation. However, these studies have primarily used single materials with limited multifunctionality. The advent of additive manufacturing (AM) has revolutionised the creation of complex structures by incorporating multiple materials, resulting in improved capabilities, adaptability to various environments, and enhanced mechanical properties. Recent endeavours have delved into diverse materials, methodologies, design approaches and optimisation techniques for multi-material additive manufacturing (MMAM). Despite several years passing, comprehensive reviews in this field have been scarce. Nazir A. et al. [
33] provide an in-depth review of MMAM systems, emphasising the fundamental principles of their core processes. The review systematically covers material combinations, along with associated design, modelling and analysis strategies. The authors also highlight cross-industry applications, opportunities and post-processing considerations for MMAM-produced components. They identify limitations and challenges in existing software tools, MMAM processes, materials, and interfaces between different materials. The paper concludes by exploring potential strategies to overcome these technological barriers, outlining future directions in this domain. This comprehensive perspective serves as a valuable resource for researchers and engineers engaged in the design and fabrication of intricate, nature-inspired objects.
Xiangren Kong et al. [
34] made an experimental study on the failure behaviour of the interface of 3D-printed parts made of fibre-reinforced composite materials. Thus, they observed the internal quality of the pure Onyx specimen print by noting that the voids are regularly presented, the porosity is about 16% and the shape of the voids is somewhat uniform. They also studied the internal print quality when continuous carbon fibre and Onyx are cross-laminated, finding that the continuous layer of carbon fibre appears to form a whole body and there is no major gap between adjacent filaments in each layer. This is because the print head will press down on the fibre to ensure that the fibre continues to properly adhere to the underlying layer. After the study, they highlighted the fact that the fusion effect of a single type of printed material (i.e., pure Onyx or pure continuous fibre) is quite good; on the other hand, for printing different materials, there could be an obvious separation at the interface of the two materials, implying that fusion at the interface may not be ideal.
Zapciu A. and Constantin G. [
35] highlight the problems related to the thermal stresses inside the part in the case of 3D printing with polymers at high temperatures in the ambient environment and propose a method to improve the technological process using a camera with vacuum. As a result of the tests, it was found that the parts made of polyetherimide (PEI—ULTEM 1010) acquired a 14% increase in strength when it was printed in an environment using a vacuum chamber, and the parts made under the same conditions from acrylonitrile–styrene–acrylate (ASA) did not show significant differences.
Wang X. et al. [
36] focused on the effects of porosity on the mechanical properties of 3D-printed polymers, looking at the three-dimensional microscopic details of the internal pores, such as size, shape, density and spatial position, which were quantitatively evaluated by X-ray computed tomography (XCT), subsequently conducting experiments to highlight the mechanical properties of the obtained materials.
Another study involved analysing the tribological qualities of 3D-printed PLA polymers and whether they are affected by the existence of different colours. In this sense, Muammel M. Hanon and Laszlo Zsidai [
37] used the technology of fused filament deposition modelling (FDM) for the tribological production of samples. The impact of print orientation and colour was studied by producing samples in different directions (horizontal, 45-degree angle and vertical) and different filament colours (white, black and grey), while performing tribological tests alternately, applying two different loads (150 and 200 N). Attention was also paid to surface roughness and product hardness, as these are important aspects for understanding the tribological behaviour. As a result of the study, it was found that with regard to the colour of the filament, it has an obvious impact on the friction coefficient test of the parts under all conditions. Thus, white samples have the highest coefficient of friction, while the lowest was observed in grey, and black samples showed a high rate of wear depth. All samples under low load showed a significant bond slip tendency compared to high load. The 450 vertical parts showed deformations in the contact area, and the wear rate of the 450 parts was high at low load printing, showing larger gaps between the printed layers. Vertically printed samples showed abrasive wear confirmed by scar marks, pits and grooves due to deep asperities.
Some research has looked at the influence that the size and orientation of the 3D-printed fibre have on the mechanical properties of the product. Thus, Juracka D. et al. [
38] placed the fibres along the longitudinal axis and perpendicular to the axis. Five samples were made on a given fibre direction for each set, so a total of twenty samples were tested for each category (N 0.4 and N 0.8). It was found that, for orientation along the longitudinal axis, no failure of the sample was indicated during the test when there was only a gradual increase in deformation, and in the case of orientation perpendicular to the axis, the samples broke before the resistance limit was reached.
Another study involved testing the surface durability of 3D-printed gears using PLA, Tough-PLA and TPU materials. Chenxiao Li and Chul-Hee Lee [
39] started from the premise that, by combining two materials with different characteristics, it is possible to improve the mechanical properties of gears. For testing, a series of parameters such as gear speed and working temperature were taken into account, and later, the uses were analysed using scanning electron microscopy (SEM). It was found that, among PLA, TPU and Tough-PLA gears, the combined Tough-PLA gear has the best surface wear resistance. Also, the improvement of transmission efficiency is given using TPU, a flexible material that is better for this mechanical system which generates vibrations during operation which lead to energy loss. By reducing the vibration of the gear through the material used, the wear of the gear surface is reduced. Also, by combining the two materials, the surface part of the tooth is made of a material with higher hardness and thus the wear resistance is improved.
Another study involved the use of FDM (multi-material additive manufacturing) technology with a single extruder. Practically, Mohammad Rafiee et al. [
40] points out that multiple materials in any available form can be co-fed into a single-screw extruder and subsequently deposited on the print bed. This technology may have the ability to print a structure with controllable and variable compositions. The use of multi-material 3D and 4D printers increase the improvement of the quality of parts by changing the composition or type of material, which cannot be easily achieved using classical technologies. The main characteristic of multi-material 4D printing is the geometric transformation after 3D printing through shape changes (memory effect). In other words, you can cause the 3D-printed part to shrink, expand or fold, which is actually the fourth dimension. Shape memory polymers (SMPs) and shape memory alloys (SMAs) are two different types of materials that are used for 4D printing.
An interesting study involved analysing the strain rate sensitivity of five different thermoplastic polymers obtained by melt filament manufacturing: polylactic acid (PLA), acrylonitrile–butadiene–styrene (ABS), polyethylene terephthalate glycol (PETG), polyamide (PA6) and polypropylene (PP). Following their, study Vidakis N. et al. [
41] found that there is a difference in tensile strength according to different elongation rates. The printed samples (ABS, PA6, PETG, PLA and PP) show a low dependence on mechanical deformation (stiffness, flow resistance, tensile strength and toughness). However, it was found that PLA, compared to the other materials, seems to be more sensitive to the strain rate.
Another study involved the printing of multi-material parts that have soft and rigid materials (PLA and TPU) in their structure. Guo Liang Goh et al. [
42] conducted a detailed examination of interlaminar adhesion by manufacturing and testing three types of test specimens, differentiated by interface treatments: unmodified specimens; samples where an interlocking mechanical design was introduced, featuring two layers of interlocking geometry that extends up to 2 mm into the material; samples that have been altered by modifying the upper filling, so as to increase the surface bond. The goal was to enhance the mechanical connection between the layers through physical programming. It was found that the filler changes resulted in superior interlaminar bond strength, thus achieving a 25% improvement over the standard sample. These significant results can be useful in the design and fabrication of multi-material components, as interlayer adhesion is critical.
Commonly known as FDM™ (fused deposition modelling), FFF has become widely recognised as a versatile, reliable and cost-effective additive manufacturing (AM) technique. Initially adopted by industry for rapid prototyping, FFF has more recently been adopted by the general public. Despite significant advances in printer technology and filament materials, producing robust, high-performance parts for demanding applications remains challenging. Inherent problems such as voids and poor interlayer adhesion mean that FFF-printed parts have inferior mechanical properties compared to conventionally manufactured counterparts. This is particularly relevant given the growing demand for customizable porous structures in areas such as biomedicine, 4D printing and lightweight cellular composites. It has become essential to understand the challenges posed by pores. This review focuses on recent findings in void formation, categorisation, research methods and mechanisms, while previous research has addressed the importance of interlayer bonding. The primary aim is to comprehensively explain the two main current approaches to studying voids: quantitative analysis and imaging. The influence of feedstock and printing parameters on void formation is also discussed in detail. Finally, this review identifies gaps in existing research and highlights unexplored challenges related to void formation and how it affects the mechanical performance of FFF parts.
Based on this brief literature review, the authors identified the main research gaps in the area of the influence of print direction and type of polymer material on the dimensional accuracy of different geometric elements of parts produced using additive FDM technology.
In this way, the importance of this article has been established in terms of the geometric accuracy of parts made by additive technology from four different polymeric materials. This has implications for the correspondence between the dimensions imposed by the 3D CAD model and those of the final parts, so that they do not end up as technological scrap.
4. Results and Analysis
In view of the presentation in the previous section of the materials used, ABS (acrylonitrile–butadiene–styrene), PLA (polylactic acid), HIPS (high-impact polystyrene) and PETG (polyethylene terephthalate glycol), the 3D printer and the complex equipment used to measure the specific dimensions of the geometric elements of the sixteen 3D models printed using additive FDM technology, the results are presented below in both tabular and graphical form.
The measurement results are in accordance with the methods briefly described in the previous section.
Figure 4a,b shows the outer and inner geometric elements for which measurements were taken on models printed from the four materials in different print directions.
The following values, shown in
Table 3, were recorded for the measurements of the outer geometric elements of the models printed from the four materials in different printing directions.
The graph in
Figure 5 was generated based on the data in
Table 3 for just five elements made of different materials and with different orientations to the printing direction, in order to observe the dimensional differences in the external geometric elements resulting from parts printed using additive FDM technology.
Analysing the results presented in
Table 3, we found that there are significant differences from a dimensional point of view in the external geometric elements of the parts made of ABS. Thus, the most deviations are in the square area printed on the 2X orientation, of 2.53%, the triangular area printed on the 1Y orientation, of 5.56%, the upper trunk diameter printed on the 1X orientation, of 4.8% and the distance between the diametrically opposite ends of the hexagon printed on 4.98% 1Y orientation.
Regarding the part obtained from HIPS, the most deviations are in the square area printed on the 2X orientation, of 5.93%, the triangular area printed on the 2X orientation, of 13.12%, the upper trunk diameter printed on the 2X orientation, of 5% and the distance between the ends of the diametrically opposed hexagons printed on the 2Y orientation, of 5.04%.
Regarding the part obtained from PETG, the most deviations are in the triangular area printed on the 1Y orientation, of 8.14%, the upper trunk diameter printed on the 1X orientation, of 5.4% and the cylinder top diameter printed on the 1Y orientation, of 3.09%.
Regarding the part obtained from PLA, the most deviations are in the triangular area printed on the 2Y orientation, of 6.15%, the upper trunk diameter printed on the 1X and 2X orientations, of 5.4% and the distance between the diametrically opposite ends of the hexagon printed on the 1Y orientation, of 3.19%.
It should be noted that certain shapes exhibit dimensions that are not substantially different from those defined during part design. This includes the square side and the distance between parallel sides of the hexagon in the X1 direction for ABS material. However, these cases are limited in number when considering the overall complexity of the part under analysis.
As the comparative analysis of the results presented in
Table 3 shows, there are significant dimensional differences in the outer surfaces produced by the 3D printing process, both in terms of the printing direction for each of the four types of materials under analysis and in terms of significant dimensional differences in the same printing direction but for different materials. In summary, it has been determined that, in addition to the printer setting parameters, the printing direction and the type of material selected for 3D printing are factors that influence the dimensional accuracy of the parts produced.
The following values, shown in
Table 4 were recorded for the measurements of the inner geometric elements of the models printed from the four materials in different printing directions.
The graph in
Figure 6 was generated based on the data in
Table 4 for just five elements made of different materials and with different orientations to the printing direction, in order to observe the dimensional differences in the external geometric elements resulting from parts printed using additive FDM technology.
Analysing the results presented in
Table 4, was find that there are significant differences from a dimensional point of view in the internal geometric elements of the parts made of ABS. Thus, the most deviations are in the triangular area printed on the 2X orientation, of 8.34%, the upper trunk diameter printed on the 2X orientation, of 3.2% and the distance between the diametrically opposite ends of the hexagon printed on the 2X orientation, of 3.52%.
Regarding the part obtained from HIPS, the most deviations are in the triangular area printed on the 1X orientation on all three sides, respectively, 12.36%—L1; 9.29%—L2; 6.32%—L3.
Regarding the part obtained from PETG, the most deviations are in the triangular area printed on the 1X orientation, of 6.55% and the cylinder diameter printed on the 1X orientation, of 5.48%.
Regarding the part obtained from PLA, the biggest deviations are in the triangular area printed on the 2X orientation, of 6.78% and the distance between the diametrically opposite ends of the hexagon printed on the 2X orientation, of 3.89%.
A comparison of the results in
Table 4 reveals significant dimensional and interior surface differences in the 3D-printed exterior surfaces, both in terms of printing direction for each of the four types of materials and significant dimensional differences in the same printing direction but for different materials. In summary, the analysis indicates that, for interior surfaces, the dimensional accuracy of 3D-printed parts is influenced by printer setting parameters, printing direction and material type.
In light of these findings, we conclude that the primary objective of this study, as suggested by its title, has been successfully met. Our subsequent investigations will focus on the potential for enhancing the design of 3D-FDM manufactured parts through dimensional optimisation.
Starting from the hypothesis that the authors had in mind, an overview of the measured dimensional differences in the geometric elements in the FDM additive-printed parts of the four material types compared to those established at the design stage was obtained from the analysis of the data presented in tabular and graphical form.
These differences provided the proportions by which the dimensions had to be increased or reduced in the design phase to obtain a part with the desired actual dimensions. This technological aspect must be handled with care, as these dimensional differences can produce nonconforming parts (technological rejects).
As well as analysing the percentage changes in the dimensions of the FDM additive-printed parts, a gravimetric analysis of the 16 models was also undertaken to show how these dimensional changes affected the mass of the specimens. The gravimetric analysis was carried out using a Kern ABS 220–4N analytical balance, externally calibrated with a maximum weighing range of 220 g.
The results of the gravimetric analysis are summarised in
Figure 7. The deviations from the masses determined by the 3D software are explained in the following paragraphs.
The gravimetric comparison of the parts made from the four materials using the FDM additive technology has produced the results which are presented below.
4.1. For Parts Printed from ABS Polymer
For ABS parts, the standard weight, determined using the specific density of ABS in a 3D environment, is 90.03 g.
Actual masses were obtained by weighing parts made with FDM additive technology using an ABS polymer in the print direction:
1X is 86.02 g.
1Y is 86.01 g.
2X is 84.88 g.
2Y is 85.05 g.
4.2. For Parts Printed from HIPS Polymer
For HIPS parts, the standard weight, determined using the specific density of ABS in a 3D environment, is 86.75 g.
Actual masses were obtained by weighing parts made with FDM additive technology using a HIPS polymer in the print direction:
1X is 79.49 g.
1Y is 79.64 g.
2X is 80.89 g.
2Y is 80.96 g.
4.3. For Parts Printed from PLA Polymer
For PLA parts, the standard weight, determined using the specific density of ABS in a 3D environment, is 105.65 g.
Actual masses were obtained by weighing parts made with FDM additive technology using a PLA polymer in the print direction:
1X is 97.43 g.
1Y is 98.19 g.
2X is 97.58 g.
2Y is 98.02 g.
4.4. For Parts Printed from PETG Polymer
For PETG parts, the standard weight, determined using the specific density of ABS in a 3D environment, is 104.60 g.
Actual masses were obtained by weighing parts made with FDM additive technology using a PETG polymer in the print direction:
1X is 101.34 g.
1Y is 101.34 g.
2X is 100.20 g.
2Y is 100.43 g.
Differences in weight between the values obtained and the normal weight are easy to observe and can be caused by several factors, such as the following:
Experimental errors: When measuring and testing, there is always some experimental error that can affect the results obtained. This may be due to variations in the manufacturing process, to variations in the equipment used, or to other experimental variables that are not under control.
Manufacturing variations: The materials used in the weight tests may be subject to manufacturing tolerances and allowable variations. Variations in the weight obtained may result from these manufacturing variations.
Limitations of the equipment: The equipment used for the test or measurement may have inherent limitations or errors in it. These may have an influence on the results and contribute to the observed weight variations.
All dimensions of the parts to be produced by the FDM additive technology process must be corrected, in accordance with
Table 3 and
Table 4, so that the dimensions are those desired at the design stage and found on the production drawings and the weight is normal. Keeping to the technological parameters is important, as wastage will vary depending on the material used.
To conclude, maintaining the calculated geometric deviations is very important in the manufacturing process. If these deviations are not respected, the result will be a deformed or non-conforming part. This part will have to be removed and considered as scrap.
In order to confirm the results of the study on the influence of materials and printing direction on the reliability of the dimensional values of the measured elements in relation to those desired at the design stage, we randomly selected and produced three pieces of HIPS polymer, oriented on the 2Y printing direction, modifying all the dimensional values by the percentages identified in the analysis of the measurement data to show the achievement of the dimensional accuracy desired at the design stage. This part is shown in
Figure 8.
Measurements were performed using the same instrument and methodology described above, under laboratory conditions with the same ambient temperature values.
The dimensional values of the designed geometric elements were modified, with the specific percentages of each dimension, by additive printing using FDM technology on a randomly selected part, a HIPS polymer part with a 2Y printing direction. The values of the external and internal dimensions are given in
Table 5 and
Table 6, respectively.
All the items have the approximate values proposed in the design phase leading to the validation of this dimensional study, as can be seen from the values presented in
Table 5. A simple observation is that some of the values exceed the desired value for which they should be declared non-compliant but considering that they are higher deviations and the dimensions are outside, they are recoverable rejects, because the adjustments can be made using conventional technologies. Of course, adjustments can be made to the percentage of variation in dimensional values at the design stage by refining the results by increasing the number of samples and measurements.
As can be seen from the values shown in
Table 6, it is the same as for the external dimensions. The internal dimensions are approximately the same as those proposed during the design phase, which led to the validation of this dimensional study. A simple observation is that some of the values are lower than the desired values, for which they should also be declared non-compliant, but since they are smaller deviations and the dimensions are internal, they are recoverable rejects, since adjustments can be made using conventional technologies. Also, the percentage of variation in the dimensional values can be adjusted at the design stage by refining the results by increasing the number of samples and measurements.
Additionally, the mass values of the manufactured components post-dimensional correction are closely aligned with the estimates derived from the software utilised during the design phase, where the three-dimensional model was created, and its volume was assigned the specific polymer density.
5. Discussion
The present study focuses on measuring the dimensions of additive-printed 3D models made from different polymers (ABS, PLA, HIPS, PETG) using additive FDM technology. The polymers that were used, the 3D printer (Raise 3D E2) and the measuring equipment (Axiom Too HS CMM) that were used in the study are also presented.
Broadly speaking, the first part of the article presents the fundamentals of the dimensional study of 3D printing parts. This introductory part prepares the ground by presenting the polymers, equipment and methodology used to produce the parts to be studied. These will be studied and analysed to understand how the dimensional accuracy and variation of 3D-printed objects are affected by the polymers used and the orientation of the parts with respect to the printing direction.
Printing challenges and material properties: A discussion of the properties of the materials is essential, as it highlights the unique characteristics of each of the polymers used. ABS, which is known for its strength and durability, presents challenges in terms of expansion and contraction during the printing process. PLA, a biodegradable material, has excellent properties for surface finishing, but is also faced with issues related to dimensional changes during the additive printing process. HIPS is an economical plastic that is easy to thermoform and has been observed to be the cheapest material for 3D printing, while PETG offers a balance between the properties of PLA and ABS. To accurately size 3D-printed materials, it is important to understand the properties of these materials.
Factors that can influence dimensional variation: Factors that can cause dimensional variations in 3D-printed parts were also presented in this study. These factors include the thermal expansion of the material, errors in the calibration of the printer, cooling time, mechanical stress, environmental conditions and the accuracy of the design. Valuable information on potential sources of geometric element size variation is provided by discussing these factors.
Sample production: The article also explains in detail how the 16 samples were produced, 4 for each polymer, with different print orientations. The need for consistency in the study is emphasised by mentioning the importance of following the printing parameters recommended by the manufacturers of the polymers used.
Coordinate measuring machine: To achieve high confidence results in the study, a high-precision Axiom Too HS CMM was used. For high accuracy, the use of the PH10T touch probe and the RTP20 magnetic probe was chosen.
Methodology used: The methodology is explicitly presented in the article, starting with the design of the CAD model and the selection of materials, and then continuing with the generation of the GCODE, the production of the samples, the measurements and the data that was recorded. This methodology provides a clear road map for the process of the research.
The second part of the study presents the aspects related to the analysis of dimensional differences in additive-printed parts using FDM technology. The parts were made from four different types of polymers (ABS, HIPS, PETG and PLA). The study compares the actual dimensions of the printed parts, as measured, with the dimensions defined at the design stage. The purpose of this analysis is to determine the percentage by which the dimensions need to be adjusted at the design stage to achieve the desired final dimensions and to avoid the production of non-conforming parts.
Purpose of dimensional analysis: In this article, an analysis will be carried out to understand the dimensional differences between the printed parts and their design specifications. To ensure that the final parts meet the desired dimensional requirements, these differences are essential.
Presentation of the data: The data resulting from the measurements required for the analysis are presented in both a tabular and a graphical form. The measured values have been plotted to two decimal places to make it easier to see the influence. The study carried out underlines the importance of carefully managing dimensional differences. These can lead to non-conforming parts or technological rejects. Accurate dimensions are essential for the functionality and quality of the final product in manufacturing and engineering.
In short, the aim of dimensional analysis is to provide valuable information on how the use of different types of polymer and different orientations on the print directions affect the dimensions of FDM additive-printed parts in comparison to the specifications given at the design stage.
The study also underscores the importance of accounting for dimensional differences, which can be corrected by adjusting printing quotas according to the percentage deviations identified.
This information is important for engineers and manufacturers to make the necessary adjustments during the design phase to ensure that the final parts meet the intended dimensions and quality standards.
Also, a gravimetric analysis of the parts produced by FDM additive technology from the four types of plastic (ABS, HIPS, PLA and PETG) has been undertaken to highlight how the dimensions obtained affect the mass of the parts. The gravimetric comparison of parts made from the four different polymer types using additive FDM is summarised graphically.
The analysis is carried out for each individual polymer and provides both the standard masses, calculated from their specific densities and volumes identified using a 3D medium, and the actual measured masses of the parts produced using the FDM technology, indicating the deviations from the standard weight.
The discrepancies between the predicted and actual weights of these parts are explained, and the potential factors contributing to these differences are identified. To avoid waste and produce compliant parts, the text emphasises the importance of maintaining the correct dimensions and technology parameters during the manufacturing process. Weighing the model part produced using additive FDM technology in HIPS polymer in the 2Y print direction, whose dimensions had been changed at the design stage, also confirms that this method of correcting part dimensions at the design stage is correct, an aspect confirmed by the insignificant differences between the actual weight and that estimated by the 3D software.
6. Conclusions
From the research performed by the authors, some conclusions can be drawn. First of all, this study provides a comprehensive analysis of the dimensional accuracy and variation in additive-printed 3D models made from different polymers (ABS, PLA, HIPS and PETG) using FDM technology.
This research highlights how important it is to understand each polymer’s unique properties when 3D printed.
Various factors, such as material thermal expansion, printer calibration errors, cooling time, mechanical stress, environmental conditions and design accuracy, that affect the dimensional accuracy of 3D-printed parts are discussed. This information will help to identify potential sources of dimensional variation.
Detailed information is given on how 16 samples, 4 for each polymer, were produced using different printed orientations. The importance of consistency in following recommended print parameters is emphasised.
Analysing the dimensional differences between printed parts and their design specifications is the main objective of the study. To ensure that the final parts meet the desired dimensional requirements, this analysis is critical. The measured data will be presented in both tabular and graphical form, making it easy to visualise the percentage changes in dimension for each polymer and for each orientation of the print. This helps to identify the necessary adjustments required to meet the design specifications.
To avoid non-conforming parts or technological waste, the study emphasises the importance of managing dimensional variation. Dimensional accuracy is very important for the product functionality and quality, and this can be improved by minimising dimensional errors by taking into account the percentage deviations of the printed model from the designed model and re-initialising the process after adjusting for them.
The study was extended with analysis that includes the mass of parts produced using the FDM additive technology from a range of different types of polymers. By comparing the actual measured masses with the standard masses calculated from densities and volumes, the relationship between dimensions and mass is highlighted. It verifies the effectiveness of correcting part dimensions during design by comparing the actual and estimated weights. This approach helps to eliminate waste and ensures that parts are produced to specification.
To summarise, this research provides valuable insights into how polymer selection, percentage ratio changes identified by practical methods and printing orientation affect the dimensional accuracy of 3D-printed parts. Engineers and manufacturers can use these findings to make informed adjustments to their designs, ultimately ensuring that the final parts will meet their intended dimensions and quality standards. The study also highlights the importance of maintaining correct dimensions and technology parameters during manufacturing to minimise waste and produce compliant parts.