Green Manufacturing Open最新文献

Innovative design of moulds by additive manufacturing for sustainable processing of expanded polymers 利用增材制造创新设计模具，实现发泡聚合物的可持续加工

Green Manufacturing Open Pub Date : 2024-08-08 DOI: 10.20517/gmo.2024.032801

Maurizio Vedani, Roberto Viganò

引用次数: 0

Health monitoring: the key technology for sustainable utilization of insulated gate bipolar transistors 健康监测：可持续利用绝缘栅双极晶体管的关键技术

Green Manufacturing Open Pub Date : 2024-03-28 DOI: 10.20517/gmo.2024.032201

He Liu, Xinyu Li, Zhifeng Liu

引用次数: 0

Robotized technologies for enhanced shipyard operations: challenges and solutions 增强船厂运营的机器人技术：挑战与解决方案

Green Manufacturing Open Pub Date : 2024-03-25 DOI: 10.20517/gmo.2023.102601

Jawad Masood, Felix Vidal, David Castro, Afra M. Pertusa, Abel Feijoo

引用次数: 0

Integrating meta-heuristics and a Sarsa algorithm for disassembly scheduling problems with cycle time and hazard coefficients 针对具有周期时间和危险系数的拆卸调度问题，整合元启发式算法和 Sarsa 算法

Green Manufacturing Open Pub Date : 2024-01-29 DOI: 10.20517/gmo.2023.091901

Dachao Li, Kaizhou Gao, Yaxian Ren, Ruixue Zhang, Yaping Fu

{"title":"Integrating meta-heuristics and a Sarsa algorithm for disassembly scheduling problems with cycle time and hazard coefficients","authors":"Dachao Li, Kaizhou Gao, Yaxian Ren, Ruixue Zhang, Yaping Fu","doi":"10.20517/gmo.2023.091901","DOIUrl":"https://doi.org/10.20517/gmo.2023.091901","url":null,"abstract":"End-of-life products recycling can reduce the waste of resources, and disassembly line scheduling planning can effectively improve the recycling efficiency and reduce the pollution of the environment. This work addresses a bi-objective disassembly line scheduling problem with considering time interference between tasks. The weighted sum of the cycle time and hazard coefficients is optimized. First, a mathematical model of the disassembly line scheduling problem is established under the constraints of priority and time interference relationships. Second, four meta-heuristics are improved to solve the concerned problems, including particle swarm optimization, artificial bee colony, genetic algorithm and variable neighborhood search. Ten objective-oriented local search operations are designed for improving meta-heuristics’ performance. A reinforcement learning algorithm, Sarsa, is employed to guide task assignment among workstations and local search selection during iterations, respectively. Finally, experiments are carried out for 10 instances with different scales. The effectiveness of the improving strategies is verified; the meta-heuristics combined with Sarsa based task assignment and local search strategies has better robustness and stability than the classical ones. Comparisons and discussions show that the particle swarm optimization with improved strategies outperforms other algorithms.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"61 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140486862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Review and challenges for the remanufacturing assembly quality with uncertainty 不确定情况下再制造装配质量的回顾与挑战

Green Manufacturing Open Pub Date : 2023-11-29 DOI: 10.20517/gmo.2023.072701

Conghu Liu, Qinghua Zhu, Huiying Mao

{"title":"Review and challenges for the remanufacturing assembly quality with uncertainty","authors":"Conghu Liu, Qinghua Zhu, Huiying Mao","doi":"10.20517/gmo.2023.072701","DOIUrl":"https://doi.org/10.20517/gmo.2023.072701","url":null,"abstract":"Remanufacturing businesses have difficulty in competing and expanding due to the unpredictable quality and performance of remanufactured products. It has turned into a problem area and a bottleneck for the growth of the remanufacturing sector. The control and management of remanufactured assembly quality (RAQ) is considered one of the key factors affecting the quality of remanufactured products. By reviewing existing literature, we have found that in remanufacturing assembly systems, the uncertainty of remanufacturing components, the volatility of remanufacturing assembly processes, the complexity of assembly control, and the diversity of assembly schemes are the main reasons for the difficulty in ensuring assembly quality. However, existing literature lacks research on data management, evolutionary mechanisms of RAQ, and multivariate control. To improve the stability of RAQ and improve the quality of remanufactured products, we propose the construction of an intelligent reasoning mode for precise RAQ control and a tailored, intelligent control method for individual components, providing support for the intelligent control of remanufactured assembly functional modules. This study provides a basis for implementing high-performance assembly technology for remanufactured products. Our findings should encourage the industry’s modernization for remanufacturing.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"190 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tubular cubic polynomial sonotrode for green and sustainable ultrasonic welding technology 用于绿色可持续超声焊接技术的管状三次多项式声电极

Green Manufacturing Open Pub Date : 2023-10-10 DOI: 10.20517/gmo.2023.06

Khurram Hameed Mughal, Salman Abubakar Bugvi, Muhammad Fawad Jamil, Muhammad Asif Mahmood Qureshi, Fazal Ahmad Khalid, Asif Ali Qaiser

{"title":"Tubular cubic polynomial sonotrode for green and sustainable ultrasonic welding technology","authors":"Khurram Hameed Mughal, Salman Abubakar Bugvi, Muhammad Fawad Jamil, Muhammad Asif Mahmood Qureshi, Fazal Ahmad Khalid, Asif Ali Qaiser","doi":"10.20517/gmo.2023.06","DOIUrl":"https://doi.org/10.20517/gmo.2023.06","url":null,"abstract":"Ultrasonic Welding has emerged as a sustainable, green, and efficient manufacturing technology. This technique joins unique and advanced materials quickly, with good welding quality through high-intensity vibrations. Ultrasonic welding uses relatively low energy and incurs lower costs compared to various conventional welding systems. One of the key aspects to ensure high welding quality and strength, along with the transmission of high forces, is the design of an efficient ultrasonic sonotrode. This research study is aimed at proposing, evaluating, and testing the design of a tubular cubic polynomial sonotrode using finite element analysis. This novel ultrasonic welding sonotrode operates with low stresses and high displacement amplification. The performance of the proposed ultrasonic welding sonotrode design was compared with the commercially popular sonotrode, as well as cubic Bezier, exponential, and conical designs. This comparison was done in terms of harmonic excitation response, stresses, axial stiffness, displacement amplification, and factor of safety. The performance characteristics were also evaluated along the sonotrode length. The proposed sonotrode was found to be superior in terms of high vibration amplification and axial stiffness within safe stress limits. The benefits of the flexible design as per requirement to attain a higher displacement amplitude at the output end; consequently, lower welding forces were also realized. The proposed design is an improvement towards an efficient and green manufacturing technology involving reduced cost, energy consumption, use of consumables, effort, waste generation, and harm to the environment.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136357758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the performance of Lead zirconate titanate piezoelectric coating prepared by vacuum cold spraying 真空冷喷涂锆钛酸铅压电涂层的性能研究

Green Manufacturing Open Pub Date : 2023-09-23 DOI: 10.20517/gmo.2023.05

Hefa Zhu, Yanfei Huang, Weiling Guo, Han Dong, Zhiguo Xing, Qingbo Mi

{"title":"Study on the performance of Lead zirconate titanate piezoelectric coating prepared by vacuum cold spraying","authors":"Hefa Zhu, Yanfei Huang, Weiling Guo, Han Dong, Zhiguo Xing, Qingbo Mi","doi":"10.20517/gmo.2023.05","DOIUrl":"https://doi.org/10.20517/gmo.2023.05","url":null,"abstract":"By utilizing the force-electric conversion capabilities of piezoelectric materials, piezoelectric ceramic coatings are intended to monitor the state of component damage. In this study, lead zirconate titanate [Pb(Zr, Ti)O3, PZT] piezoelectric ceramic coatings were prepared on the SUS304 substrate by vacuum cold spraying (VCS). The phase structure, microstructure, and electrical properties of the PZT coating were analyzed. According to the findings, the PZT coating has a typical tetragonal perovskite structure, and the Xi photoelectron spectrometer (XPS) findings show that the room-temperature deposition characteristics of VCS techniques do not affect the elemental valence state of PZT materials, making it a non-destructive way to create the coating. The surface of the PZT coating is uniform and smooth, and the surface roughness Ra is about 195 nm. The PZT coating has a microhardness of around 1,510 Hv and an elastic modulus of about 73.9 GPa. Meanwhile, the piezoelectric coefficient d33 of the PZT coating was about 46 pC/N. The maximum saturation polarization of the PZT coating was 16.2 μC/cm2, the remnant polarization was 3.1 μC/cm2, and the coercive field was 59.3 kV/cm, which showed some ferroelectricity. The dielectric constant/dielectric loss of the PZT coating was about 425/0.35. The Curie temperature of PZT coating is 392.6 °C, which improves the application temperature range of PZT coating. This demonstrates that the PZT coatings created by VCS have certain electrical capabilities, offering a novel way to create and enhance the piezoelectric ceramic coating system for later-stage part monitoring.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135959688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A prediction approach of fiber laser surface treatment using ensemble of metamodels considering energy consumption and processing quality 考虑能耗和加工质量的光纤激光表面处理元模型集成预测方法

Green Manufacturing Open Pub Date : 1900-01-01 DOI: 10.20517/gmo.2022.04

Jianzhao Wu, Chaoyong Zhang, P. Jiang, C. Li, Huajun Cao

{"title":"A prediction approach of fiber laser surface treatment using ensemble of metamodels considering energy consumption and processing quality","authors":"Jianzhao Wu, Chaoyong Zhang, P. Jiang, C. Li, Huajun Cao","doi":"10.20517/gmo.2022.04","DOIUrl":"https://doi.org/10.20517/gmo.2022.04","url":null,"abstract":"Laser surface treatment (LST) is essential for advanced manufacturing but is extremely energy intensive. Being energy-aware is imperative as the industry pays increasing attention to energy management and environmental protection. However, existing literature mainly focuses on the laser-material interaction in LST, while few studies have considered energy consumption when investigating the processing quality. In this article, three metamodels (Kriging, RBF, and SVR) are integrated into an ensemble of metamodels (EM) by suitable weight coefficients, and the EM incorporates the predictive advantages of different metamodels. The EM establishes the relationship between laser process parameters (laser power, scan speed, and defocusing amount) and three outputs (total energy consumption, surface roughness, and depth-width ratio of LST track). The effectiveness of the presented prediction approach is validated by the leave-one-out method and additional experiments. Furthermore, the main influences of process parameters on the three outputs are studied. According to the technique for order preference by similarity to an ideal solution (TOPSIS), the optimal process parameter is Group No. 2, with the relative closeness of 78.04%, while the worst one is Group No. 13, with the relative closeness of 2.21%. The presented prediction approach can serve as a reliable foundation in the energy-aware application of laser processing.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123054844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Enhancing big data for greentelligence across the production value chain 加强生产价值链绿色智能大数据

Green Manufacturing Open Pub Date : 1900-01-01 DOI: 10.20517/gmo.2022.02

Reuben Seyram Komla Agbozo, T. Peng, Huajun Cao, Renzhong Tang

{"title":"Enhancing big data for greentelligence across the production value chain","authors":"Reuben Seyram Komla Agbozo, T. Peng, Huajun Cao, Renzhong Tang","doi":"10.20517/gmo.2022.02","DOIUrl":"https://doi.org/10.20517/gmo.2022.02","url":null,"abstract":"The big data concept has been explosive, revealing, and transformative across manufacturing industries as it provides deeper insights into manufacturing operations for decision-making. However, big green data (BGA), a dedicated subset of big data, is not adequately structured for comprehensive sustainability analysis, particularly in smart factories. With our proposed green data balance (GDB), there will be accountability for each input and output composition in a production unit within the production value chain (PVC). Data will be exhaustively and accurately collected in each workshop to help uncover unknown issues in a production value chain while facilitating the development of sustainability metrics or index systems. Additionally, a structured big green data system will fuel “greentelligence”, using intelligent systems and technologies to speed up digitalization toward sustainable manufacturing by measuring, tracking, and minimizing adverse environmental impacts. Lastly, with the support of the cognitive intelligence data analytic system (CIDAS), real-time and near real-time comprehensive sustainability analytics can be performed, leading to Self-X metacognitive adjustments and corrective actions.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132016385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Life cycle oriented low carbon manufacturing of mechanical equipment: method and application 面向生命周期的机械设备低碳制造:方法与应用

Green Manufacturing Open Pub Date : 1900-01-01 DOI: 10.20517/gmo.2022.07

Haihong Huang, Xiang Zou, Lei Li, Wei Xiong, Lei Gan, Zhifeng Liu

{"title":"Life cycle oriented low carbon manufacturing of mechanical equipment: method and application","authors":"Haihong Huang, Xiang Zou, Lei Li, Wei Xiong, Lei Gan, Zhifeng Liu","doi":"10.20517/gmo.2022.07","DOIUrl":"https://doi.org/10.20517/gmo.2022.07","url":null,"abstract":"Mechanical equipment is a significant contributor to carbon emissions. By analyzing the life cycle carbon emissions of mechanical equipment, it can be obtained that the consumption of materials and energy are the key factors. Focusing on decreasing material and energy consumption in the life cycle of mechanical equipment, a series of low carbon design strategies are proposed, including material selection, lightweight design, and design for disassembly and recycling; specifically, in this paper, low carbon operation strategies on the machine and workshop levels are discussed. Operations including power matching, energy recovery, and transmission chain shortening can be performed at the machine level, as well as scheduling and production optimization at the workshop level. The proposed method is applied to a piece of typical equipment, a hydraulic forming press, and results show that the proposed low carbon manufacturing methods have significant carbon emission reduction potential. Combined with current research hotspots, the integration of design methods and tools and the carbon emission reduction techniques enabled by intelligent manufacturing are future directions.","PeriodicalId":178988,"journal":{"name":"Green Manufacturing Open","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115814044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1