Article
Green & Sustainable Science & Technology
Chao Ke, Xiuyan Pan, Pan Wan, Zixi Huang, Zhigang Jiang
Summary: Remanufacturing used products is a crucial approach for sustainable development and circular economy. However, due to the uncertainties in quality, variety, and batch sizes of returned products, it is challenging to quickly generate suitable redesign schemes. To address this, an intelligent redesign method based on digital twin technology is proposed in this paper, aiming to improve design efficiency and obtain optimal redesign solutions.
Article
Green & Sustainable Science & Technology
Wei Zhou, Chao Ke
Summary: Remanufacturing scheme design (RSD) is crucial in the restoration and upgrading of used products. A mass customization-based RSD method is proposed to quickly provide designers with remanufacturing solutions for meeting customer demands and the inherent remanufacturing demand (IRD).
Article
Engineering, Industrial
Bin Wu, Zhigang Jiang, Shuo Zhu, Hua Zhang, Yan Wang
Summary: This paper develops a customized method to implement DfURem task based on individual demands and failure characteristics of used products. Firstly, a Quality Function Deployment for Life (QFDL) model is constructed to transform the multi-attribute life and performance demands into engineering characteristics through data analysis theory. Secondly, a hybrid approach integrating Case-Based Reasoning (CBR) and Constraint-Function-Behavior-Structure-Upgradation (CFBSU) is proposed to generate the DfURem scheme.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Materials Science, Textiles
Yu Zhao, Dahui Zhu, Feng Zhou, Jing Song, Wenjun Zhang
Summary: This paper proposes a general design theory for apparel products, called Axiomatic Design Theory For Apparel (ADT-FA), which considers three categories of design requirements: function, comfort, and pleasure. The theory is preliminary validated with the Zoot suit.
JOURNAL OF ENGINEERED FIBERS AND FABRICS
(2022)
Article
Mathematics
Qingshan Gong, Yurong Xiong, Zhigang Jiang, Xugang Zhang, Mingmao Hu, Zhanlong Cao
Summary: This article addresses the issue of environmental pollution and resource waste caused by the inability to remanufacture or low-remanufacturability of mechanical products in complex and diverse operating environments. It provides a decision-making model for two strategies: complete machine remanufacturing (CMR) and part remanufacturing (PR), for used products with low-remanufacturability. The model analyzes the economic, environmental, and social benefits of different remanufacturing solutions and uses the entropy method and linear regression method to determine the comprehensive benefits of different remanufacturing strategies. The decision-making research on a used machine tool CA6180 suggests that the PR strategy should be chosen. This paper contributes to the realization of a resource-saving and environment-friendly manufacturing ecology and offers a new perspective for remanufacturing research.
Article
Economics
Senlin Zhao, Zhuangzhuang You, Qinghua Zhu
Summary: Manufacturers often delegate third parties to collect used products for remanufacturing, and they design nonlinear pricing contracts to stimulate the third parties to select contracts that correspond to their true types. Information asymmetry can result in a decrease in the quantity collected by third parties with low collection efficiency.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Green & Sustainable Science & Technology
Chao Ke, Xiuyan Pan, Pan Wan, Zhigang Jiang, Junjing Zhao
Summary: This paper proposes an integrated design method for remanufacturing scheme considering carbon emissions, which establishes the relationship between RSD parameters and carbon emissions, and uses optimization models and search algorithms to quickly find optimal remanufacturing solutions, reducing carbon emissions and promoting sustainable development of global industry.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Article
Green & Sustainable Science & Technology
Bin Wu, Zhigang Jiang, Shuo Zhu, Hua Zhang, Yan Wang, Yuping Zhang
Summary: With the rapid changes in technology and customer preferences, the functional obsolescence of used products presents a major challenge for resumed remanufacturing. This paper proposes a data-driven decision-making method based on multi-life customization scenarios to address the issue of functional obsolescence. The method aims to choose the optimal solution for upgrade remanufacturing by establishing the relationship between the remaining life and customized life of the functional unit.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Sergio Rizzuti, Luigi De Napoli
Summary: Product design must consider environmental concerns and use axiomatic design to improve sustainability. This research describes and applies a new domain mapping to design a daily life device.
Article
Green & Sustainable Science & Technology
Farazee M. A. Asif, Malvina Roci, Michael Lieder, Amir Rashid, Ales Mihelic, Simon Kotnik
Summary: The Circular Economy approach in the EU can save billions of dollars in material costs annually and provide significant environmental benefits. Manufacturing industries need to adopt a circular approach by designing products for multiple lifecycles, but there is a lack of methodologies to support this. This research proposes a novel methodological approach to support designing products for multiple lifecycles, aiming to maintain their highest utility and value.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Susumu Okumura
Summary: Reusing end-of-life products is an effective way to reduce environmental waste. This study develops a reuse-efficiency model to quantitatively evaluate the extent of reuse of these products. The model takes into account factors such as product durability, collection rate of end-of-life products, and maximum number of reuse cycles. The study aims to maximize the reuse efficiency per unit cost to determine the optimal product durability, collection rate, and maximum reuse cycles. The findings provide insights for promoting product redistribution and reuse, contributing to an improved circular economy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Automation & Control Systems
Latifa Belhocine, Mohammed Dahane, Mohammed Yagouni
Summary: Smartphones have an average useful lifespan of 18 to 24 months, often leading to increased electronic waste when users dispose of them at the end of this period. To reduce environmental impact, this paper proposes extending the lifespan of smartphones through recovery and remanufacturing.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Management
Chenxu Ke, Bo Yan
Summary: This study examines the impact of trade-in value on consumer behavior and firms' strategies in the context of an OEM and a remanufacturer. The findings suggest that as trade-in value increases, the optimal prices of both products increase, leading to decreased consumer satisfaction but increased profits for the OEM. Furthermore, strategic consumer behavior is beneficial for both consumers and firms, particularly when the price reduction coefficient is large.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Engineering, Mechanical
Chen Yang, Xiufen Zhang
Summary: The article introduces a novel method for designing automatic disassembly equipment for small end-of-life electromechanical products, based on axiomatic design and modular design. By constructing transfer mapping model and multi-domain mapping model, the method achieves the mapping from disassembly knowledge to functional requirements and divides and designs the related modules of the equipment using information in the structure domain. Experimental results demonstrate that the proposed method improves design efficiency and has strong universality.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Construction & Building Technology
Jose L. L. Casamayor, Daizhong Su, You Wu
Summary: Although there are numerous published studies on eco-design methods, limited publications focus on the eco-redesign of lighting products. This paper presents a method for eco-redesigning lighting products through a combination of life cycle assessment, identification of specific issues, and eco-lighting design strategies. The method can be applied as a stand-alone approach or integrated into existing design processes and methods. The paper also discusses insights and limitations after applying the method.
Article
Green & Sustainable Science & Technology
Yanbin Du, Qian Yi, Congbo Li, Lan Liao
JOURNAL OF CLEANER PRODUCTION
(2015)
Article
Green & Sustainable Science & Technology
Yanbin Du, Huajun Cao, Fei Liu, Congbo Li, Xiang Chen
JOURNAL OF CLEANER PRODUCTION
(2012)
Article
Green & Sustainable Science & Technology
Yanbin Du, Congbo Li
JOURNAL OF CLEANER PRODUCTION
(2014)
Article
Engineering, Mechanical
Kun He, Guolong Li, Yanbin Du, Ying Tang
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2019)
Article
Green & Sustainable Science & Technology
Yanbin Du, Guoao Wu, Ying Tang, Huajun Cao, Shihao Liu
Summary: Reliability allocation in remanufactured machine tools is crucial for meeting the target requirements. This study proposes a method based on fuzzy evaluation of component importance and failure influence, which is illustrated through a numerical case study of NC lathe remanufacturing.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Yanbin Du, Guohua He, Bo Li, Zhijie Zhou, Guoao Wu
Summary: This paper proposes a sustainable resource-saving and high-valued recovery approach for in-service machine tools, integrating remanufacturing and product-service systems. The procedure framework of in-service machine tool remanufacturing includes condition monitoring and diagnosis, matching analysis, remanufacturability evaluation and decision-making, among others, demonstrating comprehensive resource-efficient benefits. Further research on supporting technologies is needed to ensure the production capacities of in-service machine tools.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yanbin Du, Guoao Wu, Ying Tang, Shihao Liu
Summary: This paper proposes an improved reliability allocation method for remanufactured machine tools integrating neural networks and remanufacturing coefficient, addressing the issues of uncertainty and small sample size in remanufactured machine tools.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Yanbin Du, Zhijie Zhou, Guohua He, Lei Xu
Summary: 15-5PH stainless steel is used in laser cladding to repair or improve surface performance. Through Taguchi experiment and various analysis methods, optimal process parameters are determined to achieve better geometric performance of the cladding layer.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2022)
Article
Materials Science, Multidisciplinary
Zhijie Zhou, Yanbin Du, Guohua He, Lei Xu, Linsen Shu
Summary: In this study, laser cladding technology was used to deposit 15-5PH alloy on the surface of 20Cr13 stainless steel substrate. The geometric quality characteristics of the cladding layer were predicted using a combination of BP neural network and grey wolf optimization. The 15-5PH cladding layer showed improved microhardness, frictional wear properties and corrosion resistance compared to the substrate.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Green & Sustainable Science & Technology
Guohua He, Yanbin Du, Qiang Liang, Zhijie Zhou, Linsen Shu
Summary: In this study, a prediction method based on GA-ACO-RFR was proposed to optimize the process parameters and obtain high-quality laser cladding coatings. The results demonstrated the potential of this method in laser cladding process prediction and optimization.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Article
Metallurgy & Metallurgical Engineering
Zhiqiang Li, Yanbin Du, Guohua He, Zhijie Zhou, Qiang Liang, Linsen Shu
Summary: The overlap rate of multi-track laser cladding affects the surface flatness of the cladding layer. To improve the surface flatness, an optimization method based on the flat-top overlapping model is proposed. The method involves collecting data on single-track laser cladding, curve fitting, establishing a multi-track overlapping model, and deriving the optimal overlap rate model for multi-track laser cladding. Experimental results using different coating powders showed that the method is effective in achieving high flatness.
TRANSACTIONS OF THE INDIAN INSTITUTE OF METALS
(2023)
Article
Engineering, Multidisciplinary
Yanbin Du, Guohua He, Zhijie Zhou, Lei Xu, Meina Huang
Summary: Laser cladding is a new surface treatment technology that is widely used for surface modification of metal parts, and the high quality of the surface geometry of the cladding layer can save a lot of resources for the company. The effect of process parameters on the surface morphology and dilution rate of the coating was determined by ANOVA; the optimal combination of process parameters was obtained by combining gray correlation and fuzzy inference system method. The analysis of microstructure, physical phase, hardness, wear resistance and corrosion resistance showed that the 15-5PH clad layer was able to effectively enhance the surface properties of the 12Cr13 substrate.
ENGINEERING RESEARCH EXPRESS
(2023)
Article
Engineering, Multidisciplinary
Kun He, Aoting Wang, Yanbin Du
Summary: A compensating method based on continuously deflecting the dressing wheel is proposed to eliminate the twist error of the lead modification tooth flank. The mechanism of the twist error is analyzed by combining the tooth flank contact trace and the lead modification curve. The feasibility of the proposed method is verified through a continuous generating grinding experiment.
ENGINEERING RESEARCH EXPRESS
(2023)
Article
Engineering, Manufacturing
Yan-bin Du, Lan Liao, Le-su Wang
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
(2017)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)
