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Processes
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Thermal Analysis, Modeling and Simulation in Engineering Processes
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Thermal Analysis, Modeling and Simulation in Engineering 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 May 2024 | Viewed by 2250

Special Issue Editors

Dr. Leonardo Rosa Ribeiro da Silva

E-Mail Website
Guest Editor
Faculdade de Engenharia Mecânica, Laboratório de Tecnologia em Atrito e Desgaste—LTAD, Universidade Federal de Uberlândia—UFU, Uberlândia 38400-902, MG, Brazil
Interests: tribology; manufacturing; materials science; surface engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Luiz Eduardo dos Santos Paes

E-Mail Website
Co-Guest Editor
Faculdade de Engenharia Mecânica, Centro de Pesquisa e Desenvolvimento em Processos de Soldagem e Manufatura Aditiva—LAPROSOLDA, Universidade Federal de Uberlândia—UFU, Uberlândia 38400-902, MG, Brazil
Interests: welding; additive manufacturing; cladding; hardfacing; modeling; manufacturing processes

Special Issue Information

Dear Colleagues,

Engineering processes form the backbone of modern industrial and technological advancements, which include a wide range of activities involved in designing, developing, and optimizing systems, products, and infrastructure. In this field, thermal analysis plays a crucial role to provide us with a deep insight into the complex thermal phenomena. Understanding and controlling temperature distribution, heat transfer and thermal-induced effects are vital for optimizing process parameters, improving product quality and ensuring operational efficiency. 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. We look forward to receiving your contributions and fostering meaningful discussions in this rapidly evolving field.

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 (2 papers)

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Research

14 pages, 4594 KiB  
Article
Optimization of Exergy Efficiency in a Walking Beam Reheating Furnace Based on Numerical Simulation and Entropy Generation Analysis
by Dijie Wang, Xinru Zhang, Youxin Zhu and Zeyi Jiang
Processes 2024, 12(3), 451; https://doi.org/10.3390/pr12030451 - 23 Feb 2024
Viewed by 520
Abstract
An analysis of entropy generation and exergy efficiency can effectively explore the energy-saving potential of reheating furnaces. This paper simulated the combustion, flow, and heat transfer in a walking beam reheating furnace by establishing a half-furnace model. The entropy generation rate distribution of [...] Read more.
An analysis of entropy generation and exergy efficiency can effectively explore the energy-saving potential of reheating furnaces. This paper simulated the combustion, flow, and heat transfer in a walking beam reheating furnace by establishing a half-furnace model. The entropy generation rate distribution of different thermal processes was numerically calculated. The effect of slab residence time and fuel distribution in the furnace was studied to optimize exergy efficiency. The results indicated that combustion and radiative heat transfer are the primary sources of entropy generation. Irreversible losses accounted for 26.39% of the total input exergy, in which the combustion process accounted for 16.43%, and radiative heat transfer accounted for 8.47%. Reducing the residence time by 60 min decreased irreversible exergy loss by about 2.5% but increased heat dissipation and exhaust exergy loss by 5.8%. Energy saving can only be achieved when the heat exchanger’s exergy recovery efficiency exceeds 36% under different fuel supplies. Keeping the total fuel supply unchanged, increasing the fuel mass flow rate in heating-I zone while decreasing it in heating-II zone resulted in a 1.5% decrease in exergy efficiency. This study provides new insights into the energy-saving potential of reheating furnaces. Full article
(This article belongs to the Special Issue Thermal Analysis, Modeling and Simulation in Engineering Processes)
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21 pages, 6937 KiB  
Article
A Thermal Analysis of LASER Beam Welding Using Statistical Approaches
by Ariel Flores Monteiro de Oliveira, Elisan dos S. Magalhães, Luiz E. dos S. Paes, Milton Pereira and Leonardo R. R. da Silva
Processes 2023, 11(7), 2023; https://doi.org/10.3390/pr11072023 - 06 Jul 2023
Cited by 2 | Viewed by 1425
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 Engineering Processes)
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