Request PDF | Energy Consumption Optimization of Selective Disassembly Planning Considering Product Embodied Energy during Manufacturing | The recovery and remanufacturing of end-of-life (EOL

By comparing various power batteries (e.g., Pb‐Acid, Ni‐MH, Ni‐Cd, Li‐ion battery, graphene‐based battery, all‐solid‐state battery, etc.) [7–10], various performances can be

Investigation of the potential for an automated disassembly process of BEV. batteries. Sebastian Blankemeyera,*, Denise Wiensb, Tobias Wieseb, Annika Raatza, Sami Karac. Leibniz University

The secondly emission grade means that it is not expected an emission in the ordinary operation of the process equipment. Still, the emission can only occur occasionally and for short periods, e.g. following a fault. Results of ATEX zone classification: using the data reported in Tables 1, 2, 3 and applying the standard IEC 60079-10-1:2020

For environmentally conscious and sustainable manufacturing, many more manufacturers are acting to recycle and remanufacture their post-consumed products. The most critical process of remanufacturing is disassembly,

The disassembly of end-of-life (EoL) products is of high concern in sustainability research. It is important to obtain reasonable disassembly depth during the disassembly process. However, the overall safety of the disassembly process is not considered during the disassembly depth optimization process, which leads to an

collaboration disassembly planning for end-of-life product disassembly process (PEAPSDSP) for optimizing disassembly time, energy consumption, and disassembly profit simultaneously. In

Nowadays, there is a great deal of interest in the development of practical optimization models and intelligent solution algorithms for solving disassembly-line balancing problems. Based on

c Electrical Energy Storage Systems, Institute for Photovoltaics, University of Stuttgart, 70569 Stuttgart, Germany *Corresponding author: Anwar Al Assadi, E-mail address: anwar .alassadi@ipa

Repurposing as building energy storage systems is an energy-efficient and environmentally friendly way to second-life electric vehicle batteries (EVBs) whose capacity has degraded below usable operational range e.g., for electric vehicles.

Product disassembly and recycling are important issues in green design. Disassembly sequence planning (DSP) is an important problem in the product disassembly process. The core idea is to generate the best or approximately optimal disassembly sequence to reduce disassembly costs and time. According to the characteristics of the DSP

However, the disassembly process for EOL products is highly uncertain, and the disassembly planning method may not produce the anticipated outcomes in actual implementation. Based on the physical nature of the product disassembly process with multiple uncertain variables, certainty disassembly cannot adequately characterize the

Environmental pollution and resource shortage can be alleviated by using recycling technology to reuse EOL products [3]. Disassembly is an essential process in recovering EOL products [4, 5

DOI: 10.1016/J.RCIM.2021.102170 Corpus ID: 234837970 Human-robot collaboration disassembly planning for end-of-life product disassembly process @article{Parsa2021HumanrobotCD, title={Human-robot collaboration disassembly planning for end-of-life product disassembly process}, author={Soran Parsa and Mozafar

As explained before, EOL products P 1 and P 2 are firstly taken apart into their constituent components on one of three parallel DWs (i.e., DW 1, DW 2, and DW 3) in the disassembly shop; the components are reprocessed through three parallel flow-shop-type RLs (i.e., RL 1, RL 2, and RL 3) in the reprocessing shop; and finally the

Web-based virtual electronic product disassembly system to assess and visualize the scope of the disassembly problem, identify products'' critical parts, create a disassembly process plan. Teams can share disassembly and product identification solutions to identify hazardous components and proprietary components, information and

Conclusion. This paper provides a state-of-the-art review and forward-looking perspective of EV-LIB intelligent disassembly. The contributions of this work include three aspects: 1) The value of AI''s application in EV-LIB disassembly is evaluated and confirmed through a systematic review.

The PAC model (see Fig. 3) can be used to model product disassembly, considering both the disassembly process and the product architecture.Moreover, it enables the study of other aspects such as product circularity. From our literature analysis (Section 2.2), it emerged that disassembly time is commonly used as a proxy for

In the context of current societal challenges, such as climate neutrality, industry digitization, and circular economy, this paper addresses the importance of improving recycling practices for electric vehicle (EV) battery packs, with a specific focus on lithium–ion batteries (LIBs). To achieve this, the paper conducts a systematic review (using Google

This paper discusses the recent progress of disassembly sequencing planning in four major aspects: product disassembly modeling methods, mathematical programming methods, artificial intelligence methods, and uncertainty handling. This survey should stimulate readers to be engaged in the research, development and applications of disassembly and

When considering the battery disassembly process flow, the product and, above all, its design with various subcomponents play an important role for an automated process control. In the context of product-related challenges, the topic of diversity of variants in

The comparison of f 1, f 2, f 3, and f 4 in case of UD, and AD.2) The storage and feeding operations between the processes in the manual line allow to a void the mutual relationship between the

With the growing requirements of retired electric vehicles (EVs), the recycling of EV batteries is being paid more and more attention to regarding its disassembly and echelon utilization to reach highly efficient resource utilization and environmental protection. In order to make full use of the retired EV batteries, we here discuss various

The aim of disassembly planning is to use product representation information as the solution domain and plan the disassembly process i.e. finding the optimum disassembly sequence [26]. Based on the product representation method different DP methodologies have been developed [27] .

The disassembly process defined by I ′ allows to retrieve subassemblies A 4, A 11 and A 13 (respectively 1:4, 5–6 and 9–10) and components 7 and 8. Since subassemblies A 4, A 11 and A 13 are no longer disassembled, then tasks B 13 and B 15 generating them are directly linked to the node S with dummy arcs, as illustrated in Fig. 4.

For example, if EVB modules are repurposed as building energy storage, the information of the previous service is transferred to the DT of the new product. During the design phase of repurposing, DT can be used to model the original product components and behaviour to explore alternative uses and configurations.

This paper dis‐cusses the future possibility of echelon utilization and disassembly in retired EV battery recycling from disassembly optimization and human–robot collaboration, facing uncertain

The identified challenges for automated disassembly are twofold: process-related and product-related. The variety of battery modules can be seen as a product-related challenge, while non-detachable joints combined with the hazards posed by Li-ion

Abstract. Current electric vehicle battery recycling processes often begin with the manual dismantling of the battery packs. In consideration of occupational safety and in view of the increasing sales of electric vehicles, an automated dismantling of batteries has to be

Step 2: The defenders are trained and retrain to generate α new solutions and choose the best one as the defender. Step 3: Set the number of attacks. Step 4: Generate a new defender by randomly select-ing one of the four attack methods and replace the original defender if the new defender has better adaptation.

The disassembly of battery systems is a particularly relevant process in the battery cycle. It forms the starting point for reuse, remanufacturing, and recycling paths [5].