Green Manufacturing Open最新文献

{"title":"Effect of low-energy laser peening on properties of NiCrBSi-WC/Co coating","authors":"Longlong Zhou, Weiling Guo, Hefa Zhu, Xiaohong Liu, Xinyuan Zhou, Zhenbing Cai, Zhiguo Xing","doi":"10.20517/gmo.2024.032701","DOIUrl":"https://doi.org/10.20517/gmo.2024.032701","url":null,"abstract":"Low-energy laser peening (LE-LP) is a green and pollution-free surface deformation strengthening technology. In this work, LE-LP was used to improve the properties of NiCrBSi-WC/Co (Ni-WC) coating. The investigation focused on the impact of LE-LP on the coating microstructure, microhardness, residual stress, and tribological properties. The results showed that although laser hot melting damaged the coating surface, the phase structure of the coatings did not change significantly. The coating’s hardness increased yet its surface roughness decreased as a result of the laser peening. Concurrently, after the LE-LP treatment, a residual compressive stress with an average value of -236 MPa was tested on the surface of the coatings. The average wear volume of the coating was reduced from 11.64 × 10-2 to 6.9 × 10-2 mm3, and the average wear rate was reduced from 4.31 × 10-5 to 2.55 × 10-5/N·mm3.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141683134","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}

{"title":"Employee-centered Industry 5.0 - Case analysis of Haier","authors":"Chaoan Lai, Shiban Luo","doi":"10.20517/gmo.2023.122601","DOIUrl":"https://doi.org/10.20517/gmo.2023.122601","url":null,"abstract":"How green digital intelligence and ecology promote enterprises to transform into industry 5.0 has attracted the attention of the industry and academia. Still, its internal driving mechanism at the micro level has not been clarified. Based on the perspective of enterprise dynamic capability and resource allocation, this paper studies the “path-process-capability” logical scheme of Industry 5.0 restructuring value chain. Firstly, the multi-case configuration analysis is carried out through focused stepwise quantitative case analysis to explore the resource collaboration path of Industry 5.0 transformation. Then, the process of digital intelligence and ecological reconstruction of the value chain is studied longitudinally for a single case, and the stage characteristics of green digital intelligence and ecology driving the Industrial 5.0 transformation of manufacturing enterprises are studied by combining the time series interval method and the critical event method. The process mechanism of digital intelligence and Industry 5.0 key capabilities are found. Aimed at the path problem of green digital intelligence and ecological reconstruction of the manufacturing value chain, based on multi-case statistical analysis and single-case in-depth analysis, the reconstruction mechanism and scheme of manufacturing ecological value chain were obtained. The research findings are as follows: firstly, four configuration forms of digital intelligence and ecological resource allocation are identified, and the rational allocation of resources is realized through the collaborative effect of resources. Secondly, the ecological process of green digital intelligence of manufacturing enterprises is based on the process of “standardization - online - integration - intelligence - ecological - Industry 5.0”, and the key technologies of each stage are identified. Third, in the transformation process of Industry 5.0, three key capabilities of enterprise digital production, digital drive, and ecological economy are constructed and data-led to promote the transformation and development of enterprise intelligent services and leverage the new business form of digital ecology.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":" 107","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000576","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}

{"title":"A trade-off optimization model of environment impact and manufacturing cost for machining parts","authors":"Lei Zhang, Kaibo Tao, Yu Zheng, Kuankuan Zhu, Junwei Fang, Jin Su","doi":"10.20517/gmo.2023.082801","DOIUrl":"https://doi.org/10.20517/gmo.2023.082801","url":null,"abstract":"Motivation: Throughout the life cycle, the environmental impact and manufacturing costs of a part are largely determined at the design stage. Therefore, a part design optimization method considering these two factors is proposed in this paper. At the same time, the comprehensive benefit is taken as the trade-off of these two factors. The reduction of the comprehensive benefit indicates that the optimized part has achieved better environmental and economic performance results.\u0000 Methods: Firstly, the model is reconstructed using the dimension-driven method, and the feature information of the new part is extracted. Then, machining process planning is carried out based on the feature information. Secondly, a design optimization model for the comprehensive benefit is established based on the genetic algorithm. The model takes the dimension parameters of the part as the optimization variables and the reduction of the comprehensive benefit as the optimization objective. With the help of the Simulation plug-in for SolidWorks, the static analysis of the optimized model is conducted to determine whether it meets the performance requirements. Finally, the design optimization prototype system oriented to comprehensive benefit is established. The feasibility and effectiveness of the proposed method are verified by taking the intermediate shaft of the belt conveyor reducer-sixth order step shaft as an example.\u0000 Results: The case study shows that the optimization result of comprehensive benefit is 1.63%, which verifies the feasibility and effectiveness of the part design optimization method proposed in this paper.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140222464","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}

{"title":"Re-NetTA Project: organizational models for promoting re-manufacturing chains of building products in the Lombard manufacturing district","authors":"Salvatore Viscuso, N. Atta, Anna Dalla Valle, S. Giorgi, M. Lavagna, C. Talamo","doi":"10.20517/gmo.2023.081001","DOIUrl":"https://doi.org/10.20517/gmo.2023.081001","url":null,"abstract":"In view of the circular economy transition, the building sector is facing the challenge of overcoming conventional organizational models that follow a “take-make-dispose” in favor of circular models, exploiting re-manufacturing to close the loop. Starting from the analysis of re-manufacturing practices well affirmed in other industrial sectors and the lesson learned in terms of key features, the paper focuses on circular strategies and new organizational models and tools for short-life building products coming from renewal interventions in office, exhibition, and retail. In particular, three novel circular models are presented, based on the cross-sectorial successful key features of reuse/re-manufacturing activities and the point of view of stakeholders, including manufacturers, service providers, policymakers, and the third sector. This collaborative effort took place in the context of the research “Re-NetTA - Re-manufacturing Networks for Tertiary Architectures - New organizational models and tools for re-manufacturing and reusing short-life components coming from tertiary building renewal”, leading the knowledge sharing among the involved players to support innovative solutions.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":"91 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234107","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}

{"title":"A life cycle decision framework of China offshore wind turbines with ANP-Intuitionistic fuzzy TOPSIS method","authors":"Jiaxuan Zhou, Liming Wang, Fang-yi Li, Chunli Ge, Jianfeng Li, Yitong Wang, Lin Kong, Jin Guo","doi":"10.20517/gmo.2023.081802","DOIUrl":"https://doi.org/10.20517/gmo.2023.081802","url":null,"abstract":"In China, offshore wind energy is a popular source of green energy. Selecting offshore wind turbine design schemes is a decision problem based on multiple criteria. However, the selection is hardly made from the point of view of the life cycle due to the complex association of evaluation criteria, especially in the conceptual design stage. To solve this problem, a new multi-criteria decision-making framework for selecting the life cycle design scheme of offshore wind turbines is designed. The design information of the life cycle process of these turbines is expressed using Function-Structure-Material-Process-Transportation model in this framework. The life cycle evaluation index system of offshore wind turbines was established and mapped with this model to carry out rapid evaluation of various schemes. In light of this, an intuitive fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method based on analytic network process (ANP) was proposed to process fuzzy decision information and establish criteria correlation. Finally, a case study was conducted, and sensitivity and comparative analyses were carried out. The proposed method can effectively select the optimal scheme from six different design schemes for the life cycle of offshore wind turbines.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":"208 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234048","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}

{"title":"State of the art in determining the optimal reverse logistics network for your product","authors":"Albert Wee Kwan Tan, Philip Teow Huat Kwa, Janya Chanchaichujit","doi":"10.20517/gmo.2023.080501","DOIUrl":"https://doi.org/10.20517/gmo.2023.080501","url":null,"abstract":"The primary focus of this study is to explore and answer the following research question: “In what ways can organizations enhance the efficiency and responsiveness of their reverse logistics network design?” The study presents a conceptual framework that the authors have built, incorporating several essential variables to guide the process of network design. The conceptual framework for reverse logistics networks has been developed by conducting an analysis of the fundamental factors that influence network design decisions. This paradigm facilitates the decision-making process for firms when considering the centralization or decentralization of their reverse logistics operations and the outsourcing or insourcing of specific operational aspects. Moreover, the authors have discovered and highlighted relevant literature that exhibits strong alignment with our proposed framework, hence offering useful insights for decision-making in the domain of reverse logistics network design. Within our framework, two crucial dimensions are considered at each stage: the choice between internal processing vs . outsourcing and the decision to centralize or decentralize operations. With consideration of the factors noted above, this paper proposes a mixed integer linear programming model for the design of a reverse logistics network. This model aims to minimize the total cost at each stage of reverse logistics operations.","PeriodicalId":491968,"journal":{"name":"Green Manufacturing Open","volume":"30 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138955118","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}