Special Issue "Thermal Analysis, Modeling and Simulation in Manufacturing Processes"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 15 November 2023 | Viewed by 717

Special Issue Editors

Faculty of Mechanical Engineering, Federal University of Uberlandia, Av. João Naves de Ávila, 2121, Uberlândia 38400-902, Brazil
Interests: thermal analysis; machining processes; tool wear; tool life; experimental methods; numerical methods
Special Issues, Collections and Topics in MDPI journals
Dr. Luiz Eduardo Dos Santos Paes
E-Mail Website
Co-Guest Editor
Faculty of Mechanical Engineering, Federal University of Uberlandia, Av. João Naves de Ávila, 2121, Uberlândia 38400-902, Brazil
Interests: arc welding; laser welding; additive manufacturing; metallurgy; phase transformations; modeling

Special Issue Information

Dear Colleagues,

Thermal analysis, modeling and simulation play crucial roles in advancing manufacturing processes by providing insights into the complex thermal phenomena that occur during various manufacturing operations. Understanding and controlling temperature distribution, heat transfer and thermal-induced effects are vital for optimizing process parameters, improving product quality and ensuring operational efficiency. This Special Issue of Processes focuses on the latest developments and applications of thermal analysis, modeling and simulation in manufacturing processes.

The integration of thermal analysis techniques with advanced modeling and simulation approaches offers a powerful toolset to investigate and predict thermal behavior in manufacturing processes, such as casting, welding, additive manufacturing, machining and heat treatment. By simulating and analyzing thermal phenomena, researchers can optimize process conditions, reduce energy consumption, mitigate thermal-induced defects and enhance product performance.

This Special Issue invites researchers and practitioners to contribute their original research, reviews and case studies covering a wide range of topics, including innovative thermal analysis methods, advanced modeling techniques, experimental investigations, optimization strategies and real-world applications in manufacturing processes. The aim is to provide a platform for knowledge sharing, collaboration and the dissemination of cutting-edge advancements in the field of thermal analysis, modeling and simulation in manufacturing processes.

Dr. Leonardo Rosa Ribeiro Da Silva
Dr. Luiz Eduardo dos Santos Paes
Guest Editors

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. Processes 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 2400 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

  • thermal analysis
  • experimental methods
  • numerical methods
  • thermal cycles
  • phase transformation
  • manufacturing processes
  • heat sources

Published Papers (1 paper)

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

Research

Article
A Thermal Analysis of LASER Beam Welding Using Statistical Approaches
Processes 2023, 11(7), 2023; https://doi.org/10.3390/pr11072023 - 06 Jul 2023
Viewed by 614
Abstract
Implementing input parameters that match the experimental weld shape is challenging in LASER beam welding (LBW) simulation because the computed heat input and spot for temperature acquisition strongly affect the outcomes. Therefore, this study focuses on investigating the autogenous LBW of AISI 1020 [...] Read more.
Implementing input parameters that match the experimental weld shape is challenging in LASER beam welding (LBW) simulation because the computed heat input and spot for temperature acquisition strongly affect the outcomes. Therefore, this study focuses on investigating the autogenous LBW of AISI 1020 using a three-dimensional heat transfer model that assumes a modified Gaussian heat flux distribution depending on LASER power (Qw), radius (R), and penetration (hp). The influence of such variables on the simulated weld bead was assessed through analysis of variance (ANOVA). The ANOVA returns reliable results as long as the data is normally distributed. The input radius exerts the most prominent influence. Taguchi’s design defined the studied data reducing about 65% of the simulations compared to a full factorial design. The optimum values to match the computed outcomes to lab-controlled experiments were 2400 W for power (80% efficiency), 0.50 mm for radius, and 1.64 mm for penetration. Moreover, the experimental errors regarding thermocouples positioning were corrected using linear interpolation. A parallel computing algorithm to obtain the temperature field reduces computational costs and may be applied in real-world scenarios to determine parameters that achieve the expected joint quality. The proposed methodology could reduce the required time to optimize a welding process, saving development and experimental costs. Full article
(This article belongs to the Special Issue Thermal Analysis, Modeling and Simulation in Manufacturing Processes)
Show Figures

Figure 1

Back to TopTop