materials-logo

Journal Browser

Journal Browser

Special Issue "Design and Behavior of Innovative Tools and Devices for Manufacturing Sheet Metal"

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Metals and Alloys".

Deadline for manuscript submissions: 20 October 2023 | Viewed by 2055

Special Issue Editor

Associate Professor, Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, SI-1000 Ljubljana, Slovenia
Interests: planning and optimization of forming processes; rapid production of forming tools—rapid tooling; flexible forming tools; FEM simulations; formability analyses of sheet metals and bulk metals; plasticity analyses of modern metallic materials; sensitivity analysis of forming processes; forming of nonmetal materials; biomimetics in forming; contemporary forming technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The modern industry with the paradigm Industry 4.0 and Industry 5.0 demands high adaptability of applied production processes. This is reflecting also in the manufacturing of parts made of sheet materials ranging from various types of steels up to polymer processing. Due to this reason, the forming tools need to express increasingly flexibility and the mechatronic concepts are implemented in their use as well. Use of sensors and actuators strongly influence the design of contemporary forming tools and their behavior during the forming processes. Furthermore, the partial heating or cooling of tool or some tool segments is implemented into the tools in order to improve local workpiece formability. This enables increase of part complexity and its production accuracy. The presentation of innovative concepts and design for all types of forming tools and devices for sheet materials with their sensors, actuators and control systems is highly welcome in this special issue.

In the Special Issue, recent advances on the study of innovative tools and devices for forming of sheet materials are highlighted and discussed, including but not limited to the following topics:

  • Forming of sheet metal and non-metal plates and foils
  • Innovative forming tooling concepts
  • Smart tooling
  • Adaptable forming devices and tools
  • Sensors and actuators in forming tools
  • Diagnostic in forming processes
  • Computer vision and process control in forming processes
  • Temperature-controlled forming tools
  • Cryogenic-assisted forming processes
  • Innovative tools and devices for incremental forming

It is my pleasure to invite you to submit a manuscript for this Special Issue.

Dr. Tomaž Pepelnjak
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 submissions that pass pre-check are 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 2300 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

  • plasticity of modern metallic and polymer materials
  • formability analyses of sheet metals and bulk metals
  • development and optimization of forming processes
  • incremental forming technologies
  • rapid production of forming tools
  • flexible forming tools
  • FEM simulations
  • sensitivity analysis of forming processes
  • forming of nonmetal materials
  • biomimetics in forming

Published Papers (2 papers)

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

Research

Article
Efficient Wear Simulation Methodology for Predicting Nonlinear Wear Behavior of Tools in Sheet Metal Forming
Materials 2022, 15(13), 4509; https://doi.org/10.3390/ma15134509 - 27 Jun 2022
Cited by 1 | Viewed by 787
Abstract
In conventional wear simulation, the geometry must be updated for succeeding iterations to predict the accumulated wear. However, repeating this procedure up to the desired iteration is rather time consuming. Thus, a wear simulation process capable of reasonable quantitative wear prediction in reduced [...] Read more.
In conventional wear simulation, the geometry must be updated for succeeding iterations to predict the accumulated wear. However, repeating this procedure up to the desired iteration is rather time consuming. Thus, a wear simulation process capable of reasonable quantitative wear prediction in reduced computational time is needed. This study aimed to develop an efficient wear simulation method to predict quantitative wear reasonably in reduced computational time without updating the geometry for succeeding iterations. The wear resistance of a stamping tool was quantitatively evaluated for different punch shapes (R3.0 and R5.5) and coating conditions (physical vapor deposition of CrN and AlTiCrN coatings) by using a progressive die set. To capture the nonlinear wear behavior with respect to strokes, a nonlinear equation from a modified form of Archard’s wear model was proposed. By utilizing the scale factor representing the changes in wear properties with respect to wear depth as input, the simulation can predict the behavior of rapidly increasing wear depth with respect to strokes after failure initiation. Furthermore, the proposed simulation method is efficient in terms of computational time because it does not need to perform geometry updates. Full article
Show Figures

Figure 1

Article
Finite Element Simplifications and Simulation Reliability in Single Point Incremental Forming
Materials 2022, 15(10), 3707; https://doi.org/10.3390/ma15103707 - 22 May 2022
Cited by 2 | Viewed by 935
Abstract
Single point incremental forming (SPIF) is one of the most promising technologies for the manufacturing of sheet metal prototypes and parts in small quantities. Similar to other forming processes, the design of the SPIF process is a demanding task. Nowadays, the design process [...] Read more.
Single point incremental forming (SPIF) is one of the most promising technologies for the manufacturing of sheet metal prototypes and parts in small quantities. Similar to other forming processes, the design of the SPIF process is a demanding task. Nowadays, the design process is usually performed using numerical simulations and virtual models. The modelling of the SPIF process faces several challenges, including extremely long computational times caused by long tool paths and the complexity of the problem. Path determination is also a demanding task. This paper presents a finite element (FE) analysis of an incrementally formed truncated pyramid compared to experimental validation. Focus was placed on a possible simplification of the FE process modelling and its impact on the reliability of the results obtained, especially on the geometric accuracy of the part and bottom pillowing effect. The FE modelling of SPIF process was performed with the software ABAQUS, while the experiment was performed on a conventional milling machine. Low-carbon steel DC04 was used. The results confirm that by implementing mass scaling and/or time scaling, the required calculation time can be significantly reduced without substantially affecting the pillowing accuracy. An innovative artificial neural network (ANN) approach was selected to find the optimal values of mesh size and mass scaling in term of minimal bottom pillowing error. However, care should be taken when increasing the element size, as it has a significant impact on the pillow effect at the bottom of the formed part. In the range of selected mass scaling and element size, the smallest geometrical error regarding the experimental part was obtained by mass scaling of 19.01 and tool velocity of 16.49 m/s at the mesh size of 1 × 1 mm. The obtained results enable significant reduction of the computational time and can be applied in the future for other incrementally formed shapes as well. Full article
Show Figures

Figure 1

Back to TopTop