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Journal of Remanufacturing最新文献

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An experimental robotic cell for the disassembly of electric vehicle battery modules. 一种用于拆卸电动汽车电池模块的实验机器人单元。
Q1 Engineering Pub Date : 2025-01-01 Epub Date: 2025-10-03 DOI: 10.1007/s13243-025-00156-9
Chaozhi Liang, Anselmo Parnada, Adeyemisi Gbadebo, Faraj Altumi, Mo Qu, Linxiao Li, Ashwin Danny Gomes, Xiaoguo Lin, Duc Truong Pham, Yongjing Wang

The increasing shift towards electrification in the automotive industry has highlighted the critical need for a large-scale and efficient processing of end-of-life (EoL) lithium-ion batteries (LiBs) from electric vehicles (EVs). Linear EoL strategies, such as landfilling, pose significant environmental hazards, while recycling, repurposing, and remanufacturing offer more sustainable alternatives; however, these alternatives require scalable, safe, and cost-efficient disassembly processes. To support circular EoL practices, a prototype of a robotic cell was proposed, presenting a novel automated disassembly process for EV-LiB modules, addressing challenges in the areas of safety and cost-effectiveness. Safety was addressed by encapsulating the work area with protective windows and implementing a safety system that suspends operation if safety conditions are not met. Cost-effectiveness was achieved by implementing a cell layout and robot program that can easily be reconfigured to be compatible with a range of Battery module designs available in the market, and utilising low-cost tools. This paper also presents a methodology for assessing the economic impact of the robotic cell. Initial assessments conducted on a mock-up Samsung model 12S1P Battery module demonstrate that the robotic cell can match the productivity of 5.50 workers within a workweek, saving over £15,000 per month in operational expenses, leading to a potential payback period of 1.33 years. This research marks a step towards realising scalable and financially feasible robotic disassembly systems for EoL EV-LiBs, promoting a circular economy in the automotive sector.

汽车行业日益向电气化转变,凸显了对电动汽车(ev)报废锂离子电池(LiBs)进行大规模高效处理的迫切需求。线性EoL策略,如填埋,会造成严重的环境危害,而回收、再利用和再制造提供了更可持续的替代方案;然而,这些替代方案需要可扩展、安全且经济的拆卸过程。为了支持循环EoL实践,提出了一种机器人单元原型,为EV-LiB模块提供了一种新的自动化拆卸过程,解决了安全性和成本效益方面的挑战。通过用保护窗封装工作区域和实施安全系统来解决安全问题,如果不满足安全条件,则暂停操作。通过实施电池布局和机器人程序,可以轻松地重新配置,以兼容市场上可用的一系列电池模块设计,并利用低成本工具,实现了成本效益。本文还提出了一种评估机器人细胞经济影响的方法。对三星12S1P模型电池模块进行的初步评估表明,机器人电池可以在一个工作周内达到5.50名工人的生产率,每月节省超过15,000英镑的运营费用,潜在的投资回收期为1.33年。这项研究标志着为EoL ev - lib实现可扩展且经济可行的机器人拆卸系统迈出了一步,促进了汽车行业的循环经济。
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引用次数: 0
Optimizing sustainable supply of essential materials in a circular economy: a CoCoSo-SWARA based approach 在循环经济中优化基本材料的可持续供应:基于 CoCoSo-SWARA 的方法
Q1 Engineering Pub Date : 2024-06-07 DOI: 10.1007/s13243-024-00141-8
S. Agarwal, Mohit Tyagi, R. Garg, Amit Chopra
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引用次数: 0
A Reconfigurable Cellular Remanufacturing Architecture: a multi-objective design approach 可重构的蜂窝式再制造架构:一种多目标设计方法
Q1 Engineering Pub Date : 2024-03-05 DOI: 10.1007/s13243-024-00139-2
Camilo Mejía-Moncayo, J. Kenné, Lucas A. Hof
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引用次数: 0
Sustainable remanufacturing management approaches and applications model in end-of-life vehicles: a critical review and classification 报废汽车的可持续再制造管理方法和应用模式:重要回顾与分类
Q1 Engineering Pub Date : 2024-03-01 DOI: 10.1007/s13243-024-00138-3
Jia Yuik Chong, Muhamad Zameri Mat Saman, Norshafadila Ngadiman
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引用次数: 0
A mathematical model for aerospace product MRO scheduling with remanufacturing 带有再制造功能的航空航天产品 MRO 调度数学模型
Q1 Engineering Pub Date : 2024-02-06 DOI: 10.1007/s13243-024-00135-6
Yasser Ghamary, Mingyuan Chen
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引用次数: 0
A mathematical model for aerospace product MRO scheduling with remanufacturing 带有再制造功能的航空航天产品 MRO 调度数学模型
Q1 Engineering Pub Date : 2024-02-06 DOI: 10.1007/s13243-024-00135-6
Yasser Ghamary, Mingyuan Chen
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引用次数: 0
Exploring the state of health of electric vehicle batteries at end of use; hierarchical waste flow analysis to determine the recycling and reuse potential 探索电动汽车电池在使用结束后的健康状况;分层废物流分析,以确定回收和再利用的潜力
Q1 Engineering Pub Date : 2024-01-26 DOI: 10.1007/s13243-024-00137-4
Narjes Fallah, Colin Fitzpatrick
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引用次数: 0
Application of TPB-SOR theory on remanufactured product buying intention among Malaysian consumers: mediation of TPB constructs and functional value TPB-SOR 理论在马来西亚消费者再制造产品购买意向中的应用:TPB 构建和功能价值的中介作用
Q1 Engineering Pub Date : 2024-01-23 DOI: 10.1007/s13243-024-00136-5
Syed Shah Alam, Mohammad Masukujjaman, Husam Ahmad Kokash, N. Hashim
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引用次数: 0
Robotics for electric vehicles battery packs disassembly towards sustainable remanufacturing 电动汽车电池组拆卸机器人技术实现可持续再制造
Q1 Engineering Pub Date : 2023-11-01 DOI: 10.1007/s13243-023-00134-z
Enrico Villagrossi, T. Dinon
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引用次数: 0
Remanufacturing capacity planning in new markets—effects of different forecasting assumptions on remanufacturing capacity planning for electric vehicle batteries 新市场下的再制造能力规划——不同预测假设对电动汽车电池再制造能力规划的影响
Q1 Engineering Pub Date : 2023-10-06 DOI: 10.1007/s13243-023-00130-3
Sandra Huster, Sonja Rosenberg, Simon Glöser-Chahoud, Frank Schultmann
Abstract When planning production or remanufacturing capacity, it is necessary to use forecasts. In the case of production, demand must be forecasted; in the case of remanufacturing, core supply is also uncertain. In the remanufacturing literature, there are different methods to forecast product returns in the long term, mostly material-flow analysis, system dynamics simulation, and discrete-event simulation. All methods require various assumptions to be taken. The effects of the assumptions are rarely studied, although every assumption adds a source of error. In this paper, we examine which assumptions influence long-term forecasts for remanufacturing capacity planning the most. This can help researchers and practitioners to focus on the most influencing factors and neglect those that would only add complexity without adding value. We examine assumptions concerning new product sales, product composition, product lifetime, return rate, and return quality. Our use case are electric vehicle batteries in Germany from 2022 to 2032. We find that, for the examined period, product quality and return rate have the greatest influence on capacity planning. Assumptions on an age limit for cores or a certain remaining useful life as a quality gate significantly lower the product return quantities and the resulting demand for remanufacturing capacity. The product's lifespan also influences the results, first and foremost regarding the entry point into remanufacturing activities. Sales forecasts affect the results minorly if the timeframe of the forecast and the expected product lifespan are approximately the same.
摘要在进行生产或再制造能力规划时,有必要使用预测。就生产而言,必须预测需求;在再制造的情况下,核心供应也是不确定的。在再制造文献中,有不同的方法来预测产品的长期回报,主要是物料流分析、系统动力学模拟和离散事件模拟。所有的方法都需要采取不同的假设。这些假设的影响很少被研究,尽管每个假设都会增加一个误差来源。在本文中,我们研究了哪些假设对再制造能力规划的长期预测影响最大。这可以帮助研究人员和实践者关注最具影响力的因素,而忽略那些只会增加复杂性而不会增加价值的因素。我们检查有关新产品销售,产品组成,产品寿命,退货率和退货质量的假设。我们的用例是2022年至2032年德国的电动汽车电池。我们发现,在研究期间,产品质量和退货率对产能规划的影响最大。假设芯的寿命限制或一定的剩余使用寿命作为质量闸门,显著降低了产品退货数量和由此产生的再制造能力需求。产品的寿命也会影响结果,首先是关于再制造活动的切入点。如果预测的时间范围和预期的产品寿命大致相同,则销售预测对结果的影响较小。
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引用次数: 0
期刊
Journal of Remanufacturing
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