Article
Green & Sustainable Science & Technology
Xiufen Zhang, Shuyou Zhang, Lichun Zhang, Lemiao Qiu
Summary: Design for remanufacture (DfRem) is crucial for improving the efficiency of end-of-life (EOL) products, and challenges lie in integrating failure feedback into the design process. The Reverse Design for Remanufacture (RDfRem) method offers a novel approach based on failure feedback and polychromatic sets. By developing the Reverse DfRem Polychromatic Model (RDPM), the relationship among product components, failure modes, scrap modes, economic criteria, and EOL recovery options can be mathematically described and manipulated.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Chemical
Feng Fu, Shuangying Chen, Lin Sun
Summary: This study examines how OEMs' interchangeable design affects remanufacturing decisions, and suggests that remanufacturing outsourcing may be more beneficial for the environment, industry, and society.
Article
Computer Science, Interdisciplinary Applications
Lu Li, Haolan Liao, Jizhi Zhou, Yuhan Wang
Summary: This study analyzes the impact of remanufacture on closed-loop supply chains and explores the coupling effect of multiple uncertainties. It proposes a method to maximize economic benefits by formulating appropriate remanufacture-up-to ratio. The findings provide scientific support for practitioners to develop production strategies for optimal material efficiency and sustainable industrial development in CLSC.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Thermodynamics
Xugang Zhang, Lu Xu, Hua Zhang, Zhigang Jiang, Yan Wang
Summary: This study quantifies the technology gap between retired and new-generation machinery through emergy theory, proposing a sustainability assessment model for retired machinery. The added value of retired machinery is derived from evaluation of remanufacturing cost, predicted based on BP Neural Networks, and combined with functional devaluation to calculate sustainability indicator. The feasibility of the study is verified through sustainability evaluation of a specific diesel engine, showing its lack of potential for re-service.
Article
Green & Sustainable Science & Technology
Zuqing Huang, Wei Shao, Lijun Meng, Guoqing Zhang, Qiang (Patrick) Qiang
Summary: This study explores how to increase profits and encourage consumer participation in closed-loop supply chains through licensing agreements and pricing strategies in the presence of disruptions in collection and remanufacturing costs. The results show that a centralized supply chain is more effective in encouraging consumer participation compared to a decentralized supply chain; in the event of disruptions in collection or remanufacturing costs, profits for OEMs and TPRs will greatly increase, and OEMs will raise licensing fees to extract more profit; there exists a certain region of price resilience when disruptions increase in the supply chain.
Article
Engineering, Industrial
Ashutosh Mishra, Priyanka Verma, Manoj Kunnar Tiwari
Summary: This study proposes a circularity-based quality assessment tool for the management of used materials and recovery practices. It classifies cores into reusable, remanufacturable, and recyclable at the acquisition phase and analyses real cases of small-medium-sized dismantling firms involved in remanufacturing activities. The research reveals that severe damage and long processing time due to destructive disassembly after acquisition are critical to the circularity of the retrieval system.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
R. S. Harris, W. L. Ijomah, J. F. C. Windmill
Summary: This paper introduces the aims and purposes of the Damage Assessment Tracking Criteria, which is a series of evaluation tools for remanufacturing inspection operations. The model was evaluated multiple times, including an academic review and external industrial reviews. The results were positive and the value of the model was acknowledged by industry practitioners.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Yi Xu, Conghu Liu, Shuiying Zhao, Fangfang Wei
Summary: This study aims to analyze the impact of government subsidy policies on the development of remanufacturing enterprises and product quality. It provides decision support and theoretical and methodological support for achieving environmental goals such as carbon neutrality and carbon peaking.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Automation & Control Systems
Chao Ke, Zhigang Jiang, Shuo Zhu, Yan Wang
Summary: This study proposes an integrated design method for remanufacturing processes based on performance demand, which involves reusing historical remanufacturing process data to generate the remanufacturing process scheme. The method utilizes Kansei Engineering, Quality Functional Development, and Back Propagation Neural Network to analyze performance demand, map demands to engineering features, and rapidly generate remanufacturing process scheme to satisfy performance demands, while also using Theory of Constraint and TRIZ to identify and solve conflicts in the remanufacturing process.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Mohammed Alkahtani, Aiman Ziout, Bashir Salah, Moath Alatefi, Abd Elatty E. Abd Elgawad, Ahmed Badwelan, Umar Syarif
Summary: This paper systematically investigates the collection systems in reverse logistics through literature review and bibliometric analysis, providing classification methods and literature evaluation in related fields. It offers insights for readers to identify research directions and gain a better understanding of the field.
Article
Materials Science, Multidisciplinary
Tomohisa Kanazawa, Masao Hayakawa, Dan Vinas, Yuuki Tahara, Norihito Hata, Mitsuhiro Yoshimoto
Summary: Laser hardening is a surface treatment method that can repair fatigue damage in used carburized martensite steel gears. By rapidly heating and quenching the surface layer, laser hardening increases the fatigue life of the gears. This technique is particularly beneficial for remanufacturing due to its lower environmental and processing costs.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Green & Sustainable Science & Technology
Claudia Franze, Danilo Pesce, Matthias Kalverkamp, Alexandra Pehlken
Summary: This study examines how digital technologies can help overcome the barriers to scalability in remanufacturing activities in mature and complex industries. The study also proposes a decision-making tool to scale remanufacturing activities and addresses the limitations of data centralization in replicating decision-making processes.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Mehran Ullah, Iqra Asghar, Muhammad Zahid, Muhammad Omair, Ali AlArjani, Biswajit Sarkar
Summary: Closed-loop supply chain management is a complex and highly uncertain research field that requires exploration of optimal remanufacturing strategies and packaging capacity planning by the corporate and academic worlds. The study findings suggest that a hybrid policy is the best option, and the remanufacturing rate is closely related to manufacturing costs and ordering costs.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Social Sciences, Interdisciplinary
Jiafu Su, Fengting Zhang, Hongyuan Hu, Jie Jian, Dan Wang
Summary: This study investigates the co-opetition strategy between manufacturers and remanufacturers, proposing three game models and comparing different factors to evaluate the impact of these strategies. The research findings highlight the importance of cooperation for the stable development of supply chain systems.
Article
Management
Huseyn Abdulla, James D. Abbey, A. Selin Atalay, Margaret G. Meloy
Summary: This study examines the effectiveness of two interventions aimed at increasing familiarity and appeal of remanufactured consumer products that are often disliked by consumers: (1) educating consumers about the remanufacturing process, (2) providing physical exposure to remanufactured products. The results show that education does not increase the appeal and willingness to pay (WTP) for remanufactured products. However, physical exposure to remanufactured products significantly enhances their appeal and WTP by improving perceived quality and reducing disgust. Sellers can benefit from marketing remanufactured products through physical channels rather than solely relying on online platforms.
JOURNAL OF OPERATIONS MANAGEMENT
(2023)
Article
Zoology
Mel Cosentino, David Nairn, Mariano Coscarella, Joseph C. Jackson, James F. C. Windmill
Summary: This article studied the behavior of a solitary dolphin named Kylie in the Firth of Clyde, finding that she interacts with harbor porpoises and emits different types of clicks.
BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDING
(2022)
Article
Materials Science, Characterization & Testing
R. Domingo-Roca, L. Asciak, J. F. C. Windmill, H. Mulvana, J. C. Jackson-Camargo
Summary: The determination of mechanical properties of materials usually requires destructive testing, which is time-consuming and costly. In this study, we propose a non-destructive method for evaluating the mechanical properties of 3D-printed materials using the Euler-Bernoulli beam theory and laser Doppler vibrometry. By measuring the resonance frequency, we can accurately determine the elastic modulus of the printed components. The results demonstrate the feasibility of this approach for assessing the mechanical properties of 3D-printed materials with varying Young's moduli.
JOURNAL OF NONDESTRUCTIVE EVALUATION
(2022)
Article
Green & Sustainable Science & Technology
Elzbieta Pawlik, Winifred Ijomah, Jonathan Corney, Daryl Powell
Summary: This paper presents multiple case studies on the application of lean methods in industrial remanufacturing operations, identifying specific methods that improve productivity and discussing factors that limit the application of lean practices. Matrices for opportunities and threats are developed to simplify the adoption of these findings.
Article
Evolutionary Biology
Kirsty McWhinnie, Jeremy Gibson, Magnus Gislason, Elizabeth Tanner, James Windmill, RCraig Albertson, Kevin Parsons
Summary: Understanding the emergence of adaptive divergence requires examining the function of phenotypic traits along a continuum. Finite element modeling was used to explore mandible variation in African cichlids, revealing evidence of species and sex-based biomechanical variation that could be targeted by divergent selection.
EVOLUTIONARY BIOLOGY
(2022)
Article
Chemistry, Analytical
Caitlin McLean, Ben Tiller, Rolan Mansour, Kelly Brown, James Windmill, Lynn Dennany
Summary: Electrochemical based sensors, particularly those using carbon nanotube electrodes, have shown great potential for biomedical applications due to their low cost, high conductivity and sensitivity in detecting biomarkers. This study demonstrated the feasibility of using 3D printed carbon nanotube electrodes for the detection of pyocyanin, a diagnostic biomarker for Pseudomonas aeruginosa, with comparable performance to traditional electrode systems.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2022)
Article
Engineering, Electrical & Electronic
Lara Diaz-Garcia, Andrew Reid, Joseph C. Jackson-Camargo, James F. C. Windmill
Summary: Bio-inspiration is the process of drawing insights from nature to address engineering problems. In this study, the researchers focused on directional acoustic sensing at small scales and developed a computer model based on a nocturnal moth's ear, which was then 3-D printed and experimentally tested.
IEEE SENSORS JOURNAL
(2022)
Review
Chemistry, Analytical
Caitlin McLean, Kelly Brown, James Windmill, Lynn Dennany
Summary: This article provides an overview of the pathogenicity of Pseudomonas Aeruginosa and the rapid detection using electrochemical methods, highlighting innovations in electrode design, surface modification, and biorecognition elements.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2022)
Article
Engineering, Manufacturing
Andrew Reid, James Windmill
Summary: Photopolymerization-based additive manufacturing in digital light processing requires exposing resin to UV light using a digital micromirror device or a digital mask. The resolution through the Z-axis and XY-axes determines the tolerances for a multilayer process, with the former dependent on the rate of UV light attenuation and the latter determined by the digital mask. The study introduces an alternative model based on a Lorentzian distribution, which accurately predicts small build areas.
3D PRINTING AND ADDITIVE MANUFACTURING
(2023)
Review
Engineering, Multidisciplinary
Lara Diaz-Garcia, Brendan Latham, Andrew Reid, James Windmill
Summary: This article explores the value of nature as a source of inspiration for novel, simple, and energy-efficient solutions to engineering problems, particularly in the field of acoustic sensors. Insects have served as a starting point for many bioinspired designs due to their diverse approaches to small-scale acoustic detection. The article reviews the mechanisms found in nature and the engineering solutions they have inspired, focusing on frequency discrimination, directionality, and detection of weak signals. Bioinspired systems may not always provide perfect performance, but they offer clever use of resources and minimal post-processing, making them serious contenders for the best alternative.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Green & Sustainable Science & Technology
R. S. Harris, W. L. Ijomah, J. F. C. Windmill
Summary: This paper introduces the aims and purposes of the Damage Assessment Tracking Criteria, which is a series of evaluation tools for remanufacturing inspection operations. The model was evaluated multiple times, including an academic review and external industrial reviews. The results were positive and the value of the model was acknowledged by industry practitioners.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Multidisciplinary Sciences
Lisa Asciak, Lauren Gilmour, Jonathan A. Williams, Euan Foster, Lara Diaz-Garcia, Christopher McCormick, James F. C. Windmill, Helen E. Mulvana, Joseph C. Jackson-Camargo, Roger Domingo-Roca
Summary: To address the challenges in tumor medicine research, researchers have developed a multi-material tissue-mimicking platform using stereolithography three-dimensional printing technology to simulate the complexity of the neo-vasculature of solid tumors. The potential of these materials to replace animal testing in preclinical research is evaluated by studying various indicators such as cell morphology, actin expression, focal adhesions, and nitric oxide release. A model of the neo-vasculature of a solid tumor is printed using these materials, demonstrating the potential of the approach to replicate the complexity of solid tumors in vitro without animal testing.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Proceedings Paper
Engineering, Manufacturing
R. Mansour, O. A. Omoniyi, A. Reid, W. Brindley, B. G. Stewart, J. F. C. Windmill
Summary: Sugar casting combined with spin coating was used to prepare highly sensitive and flexible 0-3 piezoelectric polymer thin film membranes. The porosity and elasticity of the material could be adjusted by changing the sugar/polymer mass ratio. The research showed that high concentrations of PMN-PT in the piezoelectric composite membranes cast with high volume fractions of sugar improved the piezoelectric coupling.
2022 IEEE INTERNATIONAL CONFERENCE ON FLEXIBLE AND PRINTABLE SENSORS AND SYSTEMS (IEEE FLEPS 2022)
(2022)
Article
Endocrinology & Metabolism
Jonathan A. Williams, Carmen Huesa, James F. C. Windmill, Mariel Purcell, Stuart Reid, Sylvie Coupaud, John S. Riddell
Summary: This study characterized the bone loss in a mature rat model of spinal cord transection, showing significant trabecular bone loss while cortical bone remained unaffected. The findings suggest that this model can be used to test interventions against SCI-induced osteoporosis.
Article
Neurosciences
Jonathan A. Williams, Carmen Huesa, Mikael J. Turunen, James A. Oo, Oskars Radzins, Wilf Gardner, James F. C. Windmill, Hanna Isaksson, K. Elizabeth Tanner, John S. Riddell, Sylvie Coupaud
Summary: This study aimed to characterize the spatiotemporal trabecular and cortical bone responses to complete spinal cord injury (SCI) in young rats. The results showed that the bone responses to SCI are site-specific, with significant changes observed in trabecular and cortical bone at different time points. The findings suggest that the observed bone changes in the rat model are not solely attributed to bone loss, but also to suppressed bone growth and altered spatial distribution of bone. These findings have implications for understanding the bone changes associated with SCI in both adult and pediatric populations.
JOURNAL OF MUSCULOSKELETAL & NEURONAL INTERACTIONS
(2022)
Article
Engineering, Electrical & Electronic
Yijun Yan, Jinchang Ren, Huan Zhao, James F. C. Windmill, Winifred Ijomah, Jesper de Wit, Justus von Freeden
Summary: Hyperspectral imaging (HSI) is capable of detecting minor differences in temperature, moisture, and chemical composition, and has been successfully applied in various fields. However, its application in condition monitoring and damage detection of carbon fiber reinforced polymer (CFRP) is relatively unexplored. This article introduces the use of near-infrared (NIR) HSI camera for non-destructive inspection of CFRP products, presenting technical challenges and solutions through three case studies.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
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)