Evaluating different strategies to achieve the highest geometric quality in self-adjusting smart assembly lines
Robotics and Computer-Integrated Manufacturing, ISSN: 0736-5845, Vol: 71, Page: 102164
2021
- 21Citations
- 60Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Digital twin-driven productions have opened great opportunities to increase the efficiency and quality of production processes. Smart assembly lines are one of these opportunities in which the effects of geometric variations of the mating parts on the assemblies can be minimized. These assembly lines utilize different techniques, including selective assembly and locator adjustments, to improve the geometric quality. This paper signifies that the achievable improvements through these techniques are highly dependent on the utilized fixture layout for the assembly process. Hence, different design methods and productions that can be followed in a smart assembly line are discussed. Furthermore, different scenarios are applied to two industrial sample cases from the automotive industry. The aptest design strategy for each improvement technique is determined. Moreover, the strategy that can result in the highest geometric quality of assemblies through a smart assembly line is defined.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S073658452100048X; http://dx.doi.org/10.1016/j.rcim.2021.102164; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85100919666&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S073658452100048X; https://dx.doi.org/10.1016/j.rcim.2021.102164
Elsevier BV
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