Human-robot collaboration disassembly planning for end-of-life product disassembly process

2021 ◽  
Vol 71 ◽  
pp. 102170
Author(s):  
Soran Parsa ◽  
Mozafar Saadat
Keyword(s):  
End Of Life ◽  
Disassembly Process ◽  
Product Disassembly ◽  
Human Robot Collaboration ◽  
Disassembly Planning

Knowledge Recommendation System for Human-Robot Collaborative Disassembly Using Knowledge Graph

2021 ◽  
Author(s):  
Yang Hu ◽  
Yiwen Ding ◽  
Feng Xu ◽  
Jiayi Liu ◽  
Wenjun Xu ◽  
...  
Keyword(s):  
Recommendation System ◽  
Industrial Robots ◽  
Knowledge Graph ◽  
Disassembly Process ◽  
Knowledge Based ◽  
Manufacturing Efficiency ◽  
Human Operators ◽  
Traditional Manufacturing ◽  
Human Robot Collaboration

Abstract In recent years, more and more attention has been paid to Human-Robot Collaborative Disassembly (HRCD) in the field of industrial remanufacturing. Compared with the traditional manufacturing, HRCD helps to improve the manufacturing flexibility with considering the manufacturing efficiency. In HRCD, knowledge could be obtained from the disassembly process and then provides useful information for the operator and robots to execute their disassembly tasks. Afterwards, a crucial point is to establish a knowledge-based system to facilitate the interaction between human operators and industrial robots. In this context, a knowledge recommendation system based on knowledge graph is proposed to effectively support Human-Robot Collaboration (HRC) in disassembly. A disassembly knowledge graph is constructed to organize and manage the knowledge in the process of HRCD. After that, based on this, a knowledge recommendation procedure is proposed to recommend disassembly knowledge for the operator. Finally, the case study demonstrates that the developed system can effectively acquire, manage and visualize the related knowledge of HRCD, and then assist the human operator to complete the disassembly task by knowledge recommendation, thus improving the efficiency of collaborative disassembly. This system could be used in the human-robot collaboration disassembly process for the operators to provide convenient knowledge recommendation service.

Recycling Aspect of End-of Life Vehicles – Recovery of Components and Materials from ELVs

2010 ◽  
Vol 450 ◽  
pp. 421-424
Author(s):  
Norbert Chamier-Gliszczyński
Keyword(s):  
End Of Life ◽  
Economic Costs ◽  
Recycling System ◽  
The Third ◽  
Disassembly Process ◽  
Third Stage

This paper presents the issue of recycling of end-of life vehicles. The first stage of this paper covers a presentation of the recycling system of end-of life vehicles, where the modules of the recovery of components and materials from end-of life vehicle were extended. This stage consists in the modelling of the structure of the sets of components and materials to be recovered from ELV. The third stage is related to an analysis of the processes specified in the module of the disassembly process and the shredding process in the aspect of an analysis of the economic costs of their execution.

End-of-life product disassembly with priority-based extraction of dangerous parts

2020 ◽  
Author(s):  
Michela Dalle Mura ◽  
Francesco Pistolesi ◽  
Gino Dini ◽  
Beatrice Lazzerini
Keyword(s):  
End Of Life ◽  
Product Disassembly

A case study in human–robot collaboration in the disassembly of press-fitted components

2019 ◽  
Vol 234 (3) ◽  
pp. 654-664 ◽  
Author(s):  
Jun Huang ◽  
Duc Truong Pham ◽  
Yongjing Wang ◽  
Mo Qu ◽  
Chunqian Ji ◽  
...  
Keyword(s):  
End Of Life ◽  
Industrial Robot ◽  
New Method ◽  
Water Pump ◽  
Compliance Control ◽  
Critical Step ◽  
Active Compliance ◽  
Human Robot Collaboration ◽  
Collaborative Robot

Human–robot collaborative disassembly is an approach designed to mitigate the effects of uncertainties associated with the condition of end-of-life products returned for remanufacturing. This flexible semi-autonomous approach can also handle unpredictability in the frequency and numbers of such returns as well as variance in the remanufacturing process. This article focusses on disassembly, which is the first and arguably the most critical step in remanufacturing. The article presents a new method for disassembling press-fitted components using human–robot collaboration based on the active compliance provided by a collaborative robot. The article first introduces the concepts of human–robot collaborative disassembly and outlines the method of active compliance control. It then details a case study designed to demonstrate the proposed method. The study involved the disassembly of an automotive water pump by a collaborative industrial robot working with a human operator to take apart components that had been press-fitted together. The results show the feasibility of the proposed method.

scholarly journals A Part Consolidation Design Method for Additive Manufacturing based on Product Disassembly Complexity

2020 ◽  
Vol 10 (3) ◽  
pp. 1100 ◽  
Author(s):  
Samyeon Kim ◽  
Seung Ki Moon
Keyword(s):  
Additive Manufacturing ◽  
End Of Life ◽  
Design Method ◽  
Life Stage ◽  
Product Recovery ◽  
Manufacturing Constraints ◽  
Part Consolidation ◽  
Product Disassembly ◽  
Part Complexity ◽  
Manufacturing Stage

Parts with complex geometry have been divided into multiple parts due to manufacturing constraints of conventional manufacturing. However, since additive manufacturing (AM) is able to fabricate 3D objects in a layer-by-layer manner, design for AM has been researched to explore AM design benefits and alleviate manufacturing constraints of AM. To explore more AM design benefits, part consolidation has been researched for consolidating multiple parts into fewer number of parts at the manufacturing stage of product lifecycle. However, these studies have been less considered product recovery and maintenance at end-of-life stage. Consolidated parts for the manufacturing stage would not be beneficial at end-of-life stage and lead to unnecessary waste of materials during maintenance. Therefore, in this research, a design method is proposed to consolidate parts for considering maintenance and product recovery at the end-of-life stage by extending a modular identification method. Single part complexity index (SCCI) is introduced to measure part and interface complexities simultaneously. Parts with high SCCI values are grouped into modules that are candidates for part consolidation. Then the product disassembly complexity (PDC) can be used to measure disassembly complexity of a product before and after part consolidation. A case study is performed to demonstrate the usefulness of the proposed design method. The proposed method contributes to guiding how to consolidate parts for enhancing product recovery.

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
pp. 1-11
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Integrated Model ◽  
Product Configuration ◽  
Configuration Design ◽  
Recovery Strategy ◽  
Disassembly Process ◽  
Production Processes ◽  
Proposed Model

Abstract Remanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability by restoring discarded or traded-in used products to a like-new condition. Unlike the production process of new products, remanufacturing requires unique production processes, such as collecting used products and dis(re)assembly. Therefore, several factors need to be considered for the design of remanufactured products. First, when designing a remanufactured product, it is crucial to ensure that the specifications of components meet the customer's requirements because the remanufacturing uses relatively outdated components or modules. In addition, it is necessary to consider the disassembly level and order to facilitate the disassembly process to obtain the desired parts. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on End-of-life products, and (ii) establish a harvest plan that determines the optimal disassembly operations and levels. This proposed model can be used as a decisionmaking tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.

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