Digitisation of a moving assembly operation using multiple depth imaging sensors

Several manufacturing operations continue to be manual even in today’s highly automated industry because the complexity of such operations makes them heavily reliant on human skills, intellect and experience. This work aims to aid the automation of one such operation, the wheel loading operation on...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 85; no. 1-4; pp. 163 - 184
Main Authors Prabhu, Vinayak Ashok, Song, Boyang, Thrower, John, Tiwari, Ashutosh, Webb, Phil
Format Journal Article
LanguageEnglish
Published London Springer London 01.07.2016
Springer Nature B.V
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Summary:Several manufacturing operations continue to be manual even in today’s highly automated industry because the complexity of such operations makes them heavily reliant on human skills, intellect and experience. This work aims to aid the automation of one such operation, the wheel loading operation on the trim and final moving assembly line in automotive production. It proposes a new method that uses multiple low-cost depth imaging sensors, commonly used in gaming, to acquire and digitise key shopfloor data associated with the operation, such as motion characteristics of the vehicle body on the moving conveyor line and the angular positions of alignment features of the parts to be assembled, in order to inform an intelligent automation solution. Experiments are conducted to test the performance of the proposed method across various assembly conditions, and the results are validated against an industry standard method using laser tracking. Some disadvantages of the method are discussed, and suggestions for improvements are suggested. The proposed method has the potential to be adopted to enable the automation of a wide range of moving assembly operations in multiple sectors of the manufacturing industry.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-015-7883-7