Special Issue "Industrial Additive Manufacturing Process Planning: Process Evaluation, Metrology, and Post-Processing Techniques"

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Dr. Hector R. Siller
Website
Guest Editor
University of North Texas, Denton, United States
Interests: additive manufacturing; metrology; micro-manufacturing; high-performance machining

Special Issue Information

Dear Colleagues,

Additive manufacturing processes have been studied from different fields, including powder metallurgy, surface engineering, thermal engineering, and other areas of scientific research. Nevertheless, at present, as the adoption of these processes in real manufacturing operations is increasing, engineers are demanding practical information for process calibration, evaluation, metrology, and post-processing techniques in order to meet the product specifications, particularly in the aeronautic, automotive, and biomedical industries. The use of advanced engineered alloys in additive manufacturing is not a guarantee of a good mechanical performance, due to the porosity and lack of uniformity in comparison with traditional manufacturing processes. Hence, the necessity to perform post-processing operations is imperative, and the development of different evaluation strategies should be connected to product realization.

The aim of this Special Issue is to present the latest research and development in the field of industrial additive manufacturing process planning, and including all the taxonomy of processing technologies like powder bed fusion, direct energy deposition, binder jetting, ultrasonic additive manufacturing, and friction stir processing, among others.

We are most interested in high-quality papers which explore the evaluation of different process parameters and the use of post-processing technologies like surface treatments, hot isostatic pressing and advanced heat treatments for the improvement of mechanical performance and corrosion resistance. Furthermore, we encourage the submission of papers dedicated to the exploration of different metrology techniques like x-ray computed tomography and confocal microscopy in the dimensional and surface quality assessment of additively manufactured parts.

Dr. Hector R. Siller
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Additive manufacturing
  • Process planning
  • Post-processing techniques
  • Metallic alloys
  • Metrology
  • Corrosion resistance
  • Mechanical performance

Published Papers (4 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
A Sensitivity Analysis-Based Parameter Optimization Framework for 3D Printing of Continuous Carbon Fiber/Epoxy Composites
Materials 2019, 12(23), 3961; https://doi.org/10.3390/ma12233961 - 29 Nov 2019
Cited by 1
Abstract
Three-dimensional printing of continuous carbon fiber/epoxy composites (CCF/EPCs) is an emerging additive manufacturing technology for fiber-reinforced polymer composites and has wide application prospects. However, the 3D printing parameters and their relationship with the mechanical properties of the final printed samples have not been [...] Read more.
Three-dimensional printing of continuous carbon fiber/epoxy composites (CCF/EPCs) is an emerging additive manufacturing technology for fiber-reinforced polymer composites and has wide application prospects. However, the 3D printing parameters and their relationship with the mechanical properties of the final printed samples have not been fully investigated in a computational and quantifiable way. This paper presents a sensitivity analysis (SA)-based parameter optimization framework for the 3D printing of CCF/EPCs. A surrogate model for a process parameter–mechanical property relationship was established by support vector regression (SVR) analysis of the experimental data on flexural strength and flexural modulus under different process parameters. An SA was then performed on the SVR surrogate model to calculate the importance of each individual 3D printing parameter on the mechanical properties of the printed samples. Based on the SA results, the optimal 3D printing parameters and the corresponding flexural strength and flexural modulus of the printed samples were predicted and verified by experiments. The results showed that the proposed framework can serve as a high-accuracy tool to optimize the 3D printing parameters for the additive manufacturing of CCF/EPCs. Full article
Show Figures

Figure 1

Open AccessArticle
Decision Tree Methods for Predicting Surface Roughness in Fused Deposition Modeling Parts
Materials 2019, 12(16), 2574; https://doi.org/10.3390/ma12162574 - 12 Aug 2019
Cited by 1
Abstract
3D printing using fused deposition modeling (FDM) includes a multitude of control parameters. It is difficult to predict a priori what surface finish will be achieved when certain values are set for these parameters. The objective of this work is to compare the [...] Read more.
3D printing using fused deposition modeling (FDM) includes a multitude of control parameters. It is difficult to predict a priori what surface finish will be achieved when certain values are set for these parameters. The objective of this work is to compare the models generated by decision tree algorithms (C4.5, random forest, and random tree) and to analyze which makes the best prediction of the surface roughness in polyethylene terephthalate glycol (PETG) parts printed in 3D using the FDM technique. The models have been created using a dataset of 27 instances with the following attributes: layer height, extrusion temperature, print speed, print acceleration, and flow rate. In addition, a dataset has been created to evaluate the models, consisting of 15 additional instances. The models generated by the random tree algorithm achieve the best results for predicting the surface roughness in FDM parts. Full article
Show Figures

Figure 1

Open AccessArticle
Improvement of Surface Roughness and Hydrophobicity in PETG Parts Manufactured via Fused Deposition Modeling (FDM): An Application in 3D Printed Self–Cleaning Parts
Materials 2019, 12(15), 2499; https://doi.org/10.3390/ma12152499 - 06 Aug 2019
Cited by 3
Abstract
The fused deposition modeling (FDM) technique is used today by companies engaged in the fabrication of traffic signs for the manufacture of light-emitting diode LED spotlights. In this sector, the surface properties of the elements used (surface finish, hydrophobic features) are decisive because [...] Read more.
The fused deposition modeling (FDM) technique is used today by companies engaged in the fabrication of traffic signs for the manufacture of light-emitting diode LED spotlights. In this sector, the surface properties of the elements used (surface finish, hydrophobic features) are decisive because surfaces that retain little dirt and favor self–cleaning behavior are needed. A design of experiments (L27) with five factors and three levels has been carried out. The factors studied were: Layer height (LH), print temperature (T), print speed (PS), print acceleration (PA), and flow rate (F). Polyethylene terephthalate glycol (PETG) specimens of 25.0 × 25.0 × 2.4 mm have been printed and, in each of them, the surface roughness (Ra,0, Ra,90), sliding angle (SA0, SA90), and contact angle (CA0, CA90) in both perpendicular directions have been measured. Taguchi and ANOVA analysis shows that the most influential variables in this case are printing acceleration for Ra, 0 (p–value = 0.052) and for SA0 (p–value = 0.051) and flow rate for Ra, 90 (p–value = 0.001) and for SA90 (p–value = 0.012). Although the ANOVA results for the contact angle are not significant, specimen 8 (PA = 1500 mm/s2 and flow rate F = 110%) and specimen 10 (PA =1500 mm/s2 and F = 100%) have reached contact angle values above or near the limit value for hydrophobia, respectively. Full article
Show Figures

Graphical abstract

Open AccessArticle
Prediction and Characteristics of Angular Distortion in Multi-Layer Butt Welding
Materials 2019, 12(9), 1435; https://doi.org/10.3390/ma12091435 - 02 May 2019
Cited by 4
Abstract
Multi-layer welding involves the process of stacking many beads, so it requires much time and effort to predict the deformation through experimentation or numerical analysis. In this study, a systematic method for predicting transverse angular distortion in multi-layer butt welding has been proposed. [...] Read more.
Multi-layer welding involves the process of stacking many beads, so it requires much time and effort to predict the deformation through experimentation or numerical analysis. In this study, a systematic method for predicting transverse angular distortion in multi-layer butt welding has been proposed. First, the database was established through bead-on-plate welding experiments, which consisted of the relationship between welding conditions, the bead geometry, the material thickness, and the angular distortion. Then, when the arbitrary welding conditions and the shape of the butt joint were input, the method calculated the angular distortion per pass using the geometric principle and the database. The obtained prediction curves were verified with the V-groove welding experimental results. In addition, the characteristics of angular distortion in multi-layer butt welding were discussed. It was found that the angular distortion curve is a function of the number of passes and groove geometry. This algorithm is based on a numerical approach that saves computational time using databases and geometry, so it is suitable for industrial applications. Full article
Show Figures

Graphical abstract

Back to TopTop