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Processes
Special Issues
Green Manufacturing and Energy-Efficient Production
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Green Manufacturing and Energy-Efficient Production

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

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 7854

Special Issue Editors

Prof. Dr. Zhigang Jiang

E-Mail Website
Guest Editor
Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science & Technology, Wuhan 430081, China
Interests: green manufacturing and remanufacturing; intelligent manufacturing; low-carbon design and manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Yan Wang

E-Mail Website
Guest Editor
School of Computing, Engineering & Maths, University of Brighton, Brighton, UK
Interests: green production; energy saving; low carbon manufacturing and remanufacturing; green manufacturing and remanufacturing; intelligent manufacturing
Special Issues, Collections and Topics in MDPI journals
Dr. Yue Wang

E-Mail Website
Guest Editor
Cummins Inc., Columbus, IN, USA
Interests: green manufacturing and remanufacturing; intelligent manufacturing; low-carbon design and manufacturing
Dr. Wei Cai

E-Mail Website
Guest Editor
College of Engineering and Technology, Southwest University, Chongqing 400715, China
Interests: intelligent manufacturing; green manufacturing; manufacturing system engineering; 3D printing and additive manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on publishing original research works on green manufacturing and energy-efficient production, including discrete production processes and production processes, from various aspects that tackle the design method, process planning, and system issues in production. The aim is to report the state of the art on relevant research topics and highlight the barriers, challenges, and opportunities we are facing. The issue also welcomes studies that stimulate the research discussion around moving towards production in a particular industrial sector.

Topics of interest for this Special Issue include but are not limited to:

  • Sustainable design and manufacturing;
  • Low-carbon manufacturing;
  • Design method for remanufacturing;
  • Intelligent manufacturing;
  • Energy-Efficient and waste reduction in production processes;
  • Design and manufacturing of green products;
  • Other green technologies.

Prof. Dr. Zhigang Jiang
Dr. Yan Wang
Dr. Yue Wang
Dr. Wei Cai
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

  • green manufacturing
  • energy-efficient production
  • sustainable design
  • remanufacturing
  • intelligent manufacturing
  • low-carbon

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

40 pages, 1107 KiB  
Article
Hierarchical Membrane Computing Algorithms for Optimizing Customer-to-Green-Manufacturer Decision-Making in Industrial Internet Platforms
by Wenhua Li, Jinfang Lv and Qi Sun
Processes 2025, 13(1), 262; https://doi.org/10.3390/pr13010262 - 17 Jan 2025
Cited by 1 | Viewed by 733
Abstract
This paper proposes a dynamic membrane algorithm (DMA)-oriented computing framework designed to optimize decision-making in Customer-to-Green-Manufacturer (C2GM) operations on industrial internet platforms. Unlike traditional methods that focus solely on economic metrics, the DMA integrates membrane computing principles with evolutionary optimization techniques and incorporates [...] Read more.
This paper proposes a dynamic membrane algorithm (DMA)-oriented computing framework designed to optimize decision-making in Customer-to-Green-Manufacturer (C2GM) operations on industrial internet platforms. Unlike traditional methods that focus solely on economic metrics, the DMA integrates membrane computing principles with evolutionary optimization techniques and incorporates green manufacturing objectives (e.g., energy efficiency, waste reduction, carbon footprint). By doing so, it dynamically aligns customer demands with manufacturing capabilities in real time, ensuring both operational efficiency and environmental stewardship. The DMA facilitates parallel and hierarchical processing of complex decision tasks, mapping evolutionary rules and manufacturing operations into a structured membrane system that accelerates convergence and improves scalability. Experimental evaluations—both in controlled simulations and a real-world case study of C2GM operations in Yiwu—demonstrate that the DMA not only achieves faster and more stable convergence than genetic algorithms but also supports greener production processes. This integrated approach thus enhances strategic decision-making, offering a sustainable pathway for advancing industrial internet ecosystems and global supply chains. Full article
(This article belongs to the Special Issue Green Manufacturing and Energy-Efficient Production)
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18 pages, 4990 KiB  
Article
Disassembly and Its Obstacles: Challenges Facing Remanufacturers of Lithium-Ion Traction Batteries
by Gregor Ohnemüller, Marie Beller, Bernd Rosemann and Frank Döpper
Processes 2025, 13(1), 123; https://doi.org/10.3390/pr13010123 - 5 Jan 2025
Viewed by 1376
Abstract
Lithium-ion batteries are major drivers to decarbonize road traffic and electric power systems. With the rising number of electric vehicles comes an increasing number of lithium-ion batteries reaching their end of use. After their usage, several strategies, e.g., reuse, repurposing, remanufacturing, or material [...] Read more.
Lithium-ion batteries are major drivers to decarbonize road traffic and electric power systems. With the rising number of electric vehicles comes an increasing number of lithium-ion batteries reaching their end of use. After their usage, several strategies, e.g., reuse, repurposing, remanufacturing, or material recycling can be applied. In this context, remanufacturing is the favored end-of-use strategy to enable a new use cycle of lithium-ion batteries and their components. The process of remanufacturing itself is the restoration of a used product to at least its original performance by disassembling, cleaning, sorting, reconditioning, and reassembling. Thereby, disassembly as the first step is a decisive process step, as it creates the foundation for all further steps in the process chain and significantly determines the economic feasibility of the remanufacturing process. The aim of the disassembly depth is the replacement of individual cells to replace the smallest possible deficient unit and not, as is currently the case, the entire battery module or even the entire battery system. Consequently, disassembly sequences are derived from a priority matrix, a disassembly graph is generated, and the obstacles to non-destructive cell replacement are analyzed for two lithium-ion traction battery systems, to analyze the distinctions between battery electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV) battery systems and identify the necessary tools and fundamental procedures required for the effective management of battery systems within the circular economy. Full article
(This article belongs to the Special Issue Green Manufacturing and Energy-Efficient Production)
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23 pages, 1810 KiB  
Article
Optimizing Tolerance Allocation in the Remanufacturing Process of Used Electromechanical Products
by Yanxiang Chen, Jie Li, Suhua Yang, Shuhua Chen and Zhigang Jiang
Processes 2024, 12(12), 2917; https://doi.org/10.3390/pr12122917 - 20 Dec 2024
Viewed by 933
Abstract
Optimizing tolerance allocation is crucial for balancing cost and performance in the remanufacturing of used electromechanical products. However, the traditional remanufacturing model of “individual part precision restoration + secondary machining trial assembly” lacks an integrated approach to tolerance planning in the design and [...] Read more.
Optimizing tolerance allocation is crucial for balancing cost and performance in the remanufacturing of used electromechanical products. However, the traditional remanufacturing model of “individual part precision restoration + secondary machining trial assembly” lacks an integrated approach to tolerance planning in the design and manufacturing stages, leading to excessive fluctuations in cost and quality. To address this issue, a remanufacturing value-based tolerance allocation method is proposed, integrating remanufacturing value into the tolerance allocation process. First, a remanufacturing value quantification and evaluation indicator system was established at the failure surface layer (i.e., the remanufacturing processing surface) at the design stage and comprehensively considers the used part quality and enterprise processing capabilities. Quantification methods for each indicator were developed, and a comprehensive weighting strategy combining subjective enterprise standards and objective return quality adopted. Then, a multi-objective optimization model for remanufacturing tolerance allocation was established, targeting remanufacturing cost, quality loss, process stability, and corrected by the failure surface value. Finally, the beetle antennae search (BAS) algorithm was employed to determine the optimal solution. A case study on a used gearbox demonstrated that the proposed method significantly improves cost, quality loss, and process stability compared to the traditional remanufacturing approaches. Full article
(This article belongs to the Special Issue Green Manufacturing and Energy-Efficient Production)
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24 pages, 32241 KiB  
Article
An Experimental Investigation of the Effects of Dressing and Grinding Parameters on Sustainable Grinding of Inconel 738 Used for Automated Manufacturing
by Mohammadjafar Hadad, Samareh Attarsharghi, Javad Makarian and Ali Mahdianikhotbesara
Processes 2023, 11(10), 2876; https://doi.org/10.3390/pr11102876 - 29 Sep 2023
Cited by 1 | Viewed by 1370
Abstract
The significant effect of the dressing process on the surface of the grinding wheel (GW) and the need to provide an optimal dressing condition are the requirements of reduction machining time and energy consumption in the sustainable grinding process. In this study, for [...] Read more.
The significant effect of the dressing process on the surface of the grinding wheel (GW) and the need to provide an optimal dressing condition are the requirements of reduction machining time and energy consumption in the sustainable grinding process. In this study, for the first time, the results of changes in the parameters of the dressing process and changes in the topography of the grinding surface on the surface roughness of the Inconel 738 have been presented using single-edge and four-edge diamond dressers. The use of minimum quantity lubrication (MQL) and wet condition are other variables in this study to reduce the consumption of cutting fluid and prevent its destructive effects on the environment. The results indicate that the MQL technique increases the grinding performance of Inconel 738 by reducing ground workpiece surface roughness and decreasing the coolant–lubricant consumption comparing to the conventional wet grinding process. Additionally, it has been found from the experimental results that applying a single-edge dresser generates finer topography on the grinding wheel and, consequently, has a better surface finish in the grinding process compared to the multipoint diamond dressing tool with the same dressing and grinding parameters. In other words, increasing the dressing feed rate during dressing of the grinding wheel using a multipoint dresser makes a finer wheel surface topography and as a result decreases the surface roughness of the ground workpiece compared to a single-edge dresser. With multipoint diamond tools, the grinding performance during the life of the dressing tool also tends to remain more consistent, which is a definite advantage in automated production. Therefore, application of a multipoint dresser leads to a reduction in dressing time and increased production capability. Full article
(This article belongs to the Special Issue Green Manufacturing and Energy-Efficient Production)
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12 pages, 5253 KiB  
Article
Numerical Optimization Study of the Resistance Coefficient of U-Shaped Air Distributor
by Zhijing Wu, Jinfeng Wang and Jing Xie
Processes 2023, 11(8), 2405; https://doi.org/10.3390/pr11082405 - 10 Aug 2023
Viewed by 1096
Abstract
In this paper, the optimization of the flow channel structure of the U-shaped air distributor is proposed. Fluent meshing was used to mesh the multipatch meshing of the original model of the grid air distributor, and then the CFD numerical simulation was carried [...] Read more.
In this paper, the optimization of the flow channel structure of the U-shaped air distributor is proposed. Fluent meshing was used to mesh the multipatch meshing of the original model of the grid air distributor, and then the CFD numerical simulation was carried out by using Fluent 2022R1 to obtain the internal air flow state of the air distributor flow channel. Through the orthogonal experimental design and a comprehensive analysis method, the optimal size structure for resistance performance is obtained as S = 60 mm, RL = 125 mm, L = 160 mm, D = 100 mm, the resistance coefficient of the new structure as 1.375, and the pressure loss as 56.87 Pa, by using 3D modeling software (SOLIDWORKS 2015) and Fluent. Compared with the initial scheme, the resistance coefficient and pressure loss are reduced by 3.03% and 6.29%, respectively. To summarize, the research in this paper offers a substantial contribution to the realm of energy conservation and emission abatement in ship air conditioning systems, simultaneously furnishing invaluable guidance for the design of air distributors. Full article
(This article belongs to the Special Issue Green Manufacturing and Energy-Efficient Production)
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