Assembly workshops for acquiring and integrating expert knowledge into assembly process planning using rapid prototyping model

Gebert, Katharina; Onken, Ann-Kathrin; Tracht, Kirsten

doi:10.1007/978-3-662-56714-2_2

Cited by 2 publications

(1 citation statement)

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“…There should also be a possibility to rotate the product so that it can be brought into different orientations depending on the assembly spot. The assembly workshops previously conducted with the derivative product have shown that employees would like to swivel and rotate the product around two axes in order to reach all assembly spots [10,11]. The motion axes and the motion range must be dimensioned in such a way that no overhead work and no work in kneeling or bending occurs.…”

Section: Requirements Analysismentioning

confidence: 99%

Mobile, Modular and Adaptive Assembly Jigs for Large-Scale Products

Hogreve

Krist

Tracht

2022

Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021

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The assembly of products is often supported by jigs. Especially for large dimensional products, jigs and fixtures are used to align the components and ensure the stability of the assembly until all parts are firmly mounted. This paper describes the development of mobile, modular and adaptive assembly jigs, which are designed to support ergonomic working in the production of high-lift systems for civil aircrafts. The jig supports the workers to adapt the position and orientation of the product to the current assembly operation. The fundamentals of the development are explained and the features of a concept, called assembly wheel, are presented. The assembly wheel consists of two or more robot arms on a circular seventh axis. The robot arms hold and position the components to be assembled so that all joining spots are freely accessible to the worker. The ergonomic benefits of the concept were examined in a study using a 3D model of the jig. A demonstrator on a scale of 1:2 was set up, with which real experiments with an adaptive jig can be conducted for evaluation.

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Section: Requirements Analysismentioning

confidence: 99%