Application of derivative products for integrating expert knowledge into assembly process planning

Krist, Katharina; Sievers, Torsten; Onken, Ann-Kathin; Kodjo, Yessoufou; Tracht, Kirsten

doi:10.1016/j.procir.2020.05.016

Cited by 4 publications

(3 citation statements)

References 1 publication

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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%

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

Self Cite

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“…Tsutsumi et al [9] proposed an optimization approach, integrating product design, process planning, and production planning with considering jointly solving tolerance allocation, assembly resource configuration, regarding process and production planning. Krist et al [10] obtained technical expertise and knowledge from non-experts from assembly operations during the assembly workshop, and integrated them into the implementation process of assembly planning. Chen et al [11] processed a novel approach to discover assembly process case for assembly process reuse using multimedia information source.…”

Section: Related Previous Workmentioning

confidence: 99%

“…Eqs. (7) ~(10), 𝑁 𝑖𝑛 , 𝑁 ℎ𝑑 , 𝑁 𝑜𝑢𝑡 are the number of nodes in input layer, hidden layer and output layer, respectively.…”

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confidence: 99%

An Intelligent Decision-making System for Complex Products Assembly Process Planning

Zhang

Wang

Cheng

et al. 2021

Preprint

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Current assembly process planning of complex products depends largely on the experience of technical personnel, which results in low design efficiency, low intelligence, and difficult to extract the assembly knowledge. To address these problems, this paper proposes an intelligent decision-making system for complex products assembly process planning through a comprehensively improved BP neural network with considering the assembly unit variability. Firstly, the characteristics, variations and similarities of assembly process for complex products are analyzed. A hierarchical model of product assembly process is established, which decomposes assembly process decision-making for overall structure into several units. A training set of each assembly unit is built considering the effect of assembly unit variability, based on which, an assembly process structure tree can be constructed quickly by connecting the nodes in the assembly process hierarchy model and the assembly process decision results. Secondly, to improve the efficiency and accuracy of decision-making, an ant lion optimizer (ALO)-BP neural network is proposed for complex products assembly process planning, which can optimize the selection of initial weights, thresholds, learning rate and feedback process of BP neural network automatically. Finally, with the case study of assembly process of the marine diesel engines, the proposed approach is compared with other algorithm models. The comparison results demonstrated that the proposed intelligent decision-making system is more precise than the other models.

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Evaluation of the Ergonomic Potential of Adaptive Assembly Jigs for Large-Scale Products Using Human Modelling

Hogreve,

Wallmeier,

Tracht

2023

Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022

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The implementation of plug and fly principles for the assembly of high-lift systems requires the design of new work processes and jigs. Conventional jigs are inflexibly and lag of capabilities to adapt for product and process designs. Adaptive jigs provide higher flexibility and allow workers to position the product in accordance with their personal needs. This paper presents a novel wheel-shaped adaptive jig and investigates its influence on the ergonomics of assembling a high-lift system. A CAD program is used to model the high-lift system, the adaptive jig and workers. Based on these models, virtual scenes are generated that can be assessed with the key indicator method. The results show that the adaptive jig design improves ergonomics by eliminating the riskiest tasks during the assembly process. The adaptive jig concept has a high potential for improving production processes because it can respond flexibly to changes in the assembly process as well as to changes in product design.

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Application of derivative products for integrating expert knowledge into assembly process planning

Cited by 4 publications

References 1 publication

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

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

An Intelligent Decision-making System for Complex Products Assembly Process Planning

Evaluation of the Ergonomic Potential of Adaptive Assembly Jigs for Large-Scale Products Using Human Modelling

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