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Metals
Special Issues
Optimization of Sheet Metal Forming Processes
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Optimization of Sheet Metal Forming Processes

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Metal Casting, Forming and Heat Treatment".

Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 6201

Special Issue Editor

Dr. Tomaž Pepelnjak

E-Mail Website
Guest 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,

Manufacturing of industrial components made of sheet metal has to be in constant evolution, either through optimization of part properties, springback control, production costs or production quality. Development of methodologies and techniques used to adequately process various sheet metals in small batches or mass production is crucial for successful competition on the market.

In this Special Issue, we shall collect a set of contributions and novel research ideas oriented toward the optimization of manufacturing of sheet metal components, including:

  • Online process control in production of sheet metal parts;
  • Digital evaluation of sheet metal process;
  • Sheet metal process optimization;
  • Innovative technologies for improved forming processes;
  • Evaluation of material and process parameters in sheet metal processes;
  • Design and behavior of innovative tools and devices for manufacturing sheet metal parts;
  • Production adaptability;
  • Quality of forming processes.

Paper reporting new and unpublished advances concerning innovative concepts, technologies, and solutions aimed at optimization of forming processes are welcomed.

Assoc. Prof. 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. Metals is an international peer-reviewed open access monthly 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 2600 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

  • Sheet metal forming
  • Influential parameters
  • Process optimization
  • Constitutive equations
  • Novel forming technologies
  • Online process control
  • Innovative tools and devices
  • Innovative part design

Published Papers (2 papers)

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Research

20 pages, 5340 KiB  
Article
A Method for Simultaneous Optimization of Blank Shape and Forming Tool Geometry in Sheet Metal Forming Simulations
by Bojan Starman, Gašper Cafuta and Nikolaj Mole
Metals 2021, 11(4), 544; https://doi.org/10.3390/met11040544 - 26 Mar 2021
Cited by 10 | Viewed by 2145
Abstract
This paper presents a numerical method for simultaneous optimization of blank shape and forming tool geometry in three-dimensional sheet metal forming operations. The proposed iterative procedure enables the manufacturing of sheet metal products with geometry fitting within specific tolerances (surface and edge deviations [...] Read more.
This paper presents a numerical method for simultaneous optimization of blank shape and forming tool geometry in three-dimensional sheet metal forming operations. The proposed iterative procedure enables the manufacturing of sheet metal products with geometry fitting within specific tolerances (surface and edge deviations less than 0.5 or 1.0 mm, respectively) that prescribe the maximum allowable deviation between the simulated and desired geometry. Moreover, the edge geometry of the product is affected by the shape of the blank and by an additional trimming phase after the forming process. The influences of sheet metal thinning, edge geometry, and springback after forming and trimming are considered throughout the blank and tool optimization process. It is demonstrated that the procedure effectively optimizes the tool and blank shape within seven iterations without unexpected convergence oscillations. Finally, the procedure thus developed is experimentally validated on an automobile product with elaborated design and geometry which prone to large springback amounts owning to complex-phase advanced high strength steel material selection. Full article
(This article belongs to the Special Issue Optimization of Sheet Metal Forming Processes)
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21 pages, 5277 KiB  
Article
RSM and BPNN Modeling in Incremental Sheet Forming Process for AA5052 Sheet: Multi-Objective Optimization Using Genetic Algorithm
by Xiao Xiao, Jin-Jae Kim, Myoung-Pyo Hong, Sen Yang and Young-Suk Kim
Metals 2020, 10(8), 1003; https://doi.org/10.3390/met10081003 - 25 Jul 2020
Cited by 18 | Viewed by 3248
Abstract
In this study, the response surface method (RSM), back propagation neural network (BPNN), and genetic algorithm (GA) were used for modeling and multi-objective optimization of the forming parameters of AA5052 in incremental sheet forming (ISF). The optimization objectives were maximum forming angle and [...] Read more.
In this study, the response surface method (RSM), back propagation neural network (BPNN), and genetic algorithm (GA) were used for modeling and multi-objective optimization of the forming parameters of AA5052 in incremental sheet forming (ISF). The optimization objectives were maximum forming angle and minimum thickness reduction whose values vary in response to changes in production process parameters, such as the tool diameter, step depth, tool feed rate, and tool spindle speed. A Box–Behnken experimental design was used to develop an RSM and BPNN model for modeling the variations in the forming angle and thickness reduction in response to variations in process parameters. Subsequently, the RSM model was used as the fitness function for multi-objective optimization of the ISF process using the GA. The results showed that RSM effectively modeled the forming angle and thickness reduction. Furthermore, the correlation coefficients of the experimental responses and BPNN predictions of the experiment results were good with the minimum value being 0.97936. The Pareto optimal solutions for maximum forming angle and minimum thickness reduction were obtained and reported. The optimized Pareto front produced by the GA can be a rational design guide for practical applications of AA5052 in the ISF process. Full article
(This article belongs to the Special Issue Optimization of Sheet Metal Forming Processes)
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