Assembly sequence planning of automobile body components based on liaison graph

Xing, Yan; Chen, G.; Lai, Xinmin; Jin, Sun; Zhou, Jibo

doi:10.1108/01445150710733423

Cited by 45 publications

(16 citation statements)

References 14 publications

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“…Dimensional and geometrical quality-based optimisation studies have been limited. 5,40,41 Only two studies have addressed the identification of geometry welds and both have been limited to simple structures consisting of one row of welds. Most of the studies reviewed have limited or no experimental validation of the results obtained through the computational analysis.…”

Section: Discussion and The Research Gapsmentioning

confidence: 99%

Welding sequence optimisation in the automotive industry: A review

Beik

Marzbani

Jazar

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Spot welding is the most common technique used to join sheet metals in the automotive industry due to the fast rate of production. Optimising the welding process including the sequence, number and location of the welds would significantly improve the quality of the final product and production cost. This paper presents an overview on the available methods to plan and optimise various aspects of the welding process including welding sequence, weld quantity and location. Firstly, the welding concept in the automotive industry is briefly reviewed. Secondly, the welding process optimisation with emphasis on the welding sequence is discussed. The common gaps and challenges are identified and, lastly, future research to plan and optimise the welding sequence in the automotive body is outlined.

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Section: Discussion and The Research Gapsmentioning

confidence: 99%

Welding sequence optimisation in the automotive industry: A review

Beik

Marzbani

Jazar

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Wang and Chen [55] constructed a hierarchical assembly system and used a matrix operation to generate assembly sequences. Later, Xing et al [56] extended this assembly modeling to completed types of subassemblies, and thus generated feasible assembly sequences automatically. However, in all these cases, a complete description of the assembly was needed.…”

Section: Subassembly Detection Based Approachesmentioning

confidence: 99%

Improving assembly precedence constraint generation by utilizing motion planning and part interaction clusters

Morato

Kaipa

Gupta

2013

Computer-Aided Design

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“…mechanical plant engineering, electrical design, HMI development, PLC, robot control, might become the glue for seamless automation engineering. 75,76 Cell layout optimization and scheduling…”

Section: Collaborative Design Tool-chainmentioning

confidence: 99%

Challenges and key technologies in robotic cell layout design and optimization

Zhang¹,

Fang²

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Automatic operation system with industrial robots has become more and more popular, especially with the urgent requirement from 3C (Communication, computer and consumer electronics) manufactory. A robot cell, which often involves one or more robots and accessory equipment, can be regarded as part of the larger theme of cellular manufacturing. The objective that most interests manufacturers is the investment return rate. It is largely determined by the productivity of robotic cell, and the leading time of robotic production system. Therefore, a fast and efficient method to design a robotic cell layout with the maximum throughput for a given task is undeniably a worthy research topic. This paper attempts to discuss the challenges and key technologies in the robotic cell layout optimal design. The proper selection of configuration for task, manual operation skill learning and translation, collaborative design tool-chain, optimization in cell layout and operation scheduling, optimal end-of-arm tooling design, and human-robot collaboration are included in this discussion with existing or on-going problem-solving key technologies.

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Assembly sequence planning of automobile body components based on liaison graph

Cited by 45 publications

References 14 publications

Welding sequence optimisation in the automotive industry: A review

Welding sequence optimisation in the automotive industry: A review

Improving assembly precedence constraint generation by utilizing motion planning and part interaction clusters

Challenges and key technologies in robotic cell layout design and optimization

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