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The International Journal of Advanced Manufacturing Technology

Erschienen in:

02.04.2024 | ORIGINAL ARTICLE

A novel method of optimized selective assembly for remanufactured products

verfasst von: Zisheng Wang, Xingyu Jiang, Guozhe Yang, Boxue Song, Zhijia Ni, Ren Zhang

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 5-6/2024

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Abstract

The assembly of remanufactured machine tools is crucial for ensuring their accuracy. Poor assembly accuracy, low remanufacturing resource utilization, and inefficient assembly have become common issues in remanufacturing processes. This limitation is addressed in the study, wherein Taguchi’s mass loss function (QLF) and a cost function for the remaining parts are employed. Both assembly accuracy and minimum cost are ensured through the establishment of a comprehensive matching model with closed-loop dimensional chains as constraints. The solution process of the PSO-GA model is outlined, effectively reducing uncertainty and resource waste associated with impractical matching schemes. Practical results from the CAK6163 headstock demonstrate that not only is the low success rate issue in matching remanufactured parts resolved by the proposed method, but resource utilization is also significantly enhanced, and costs are reduced.

Vorheriger Artikel Empirical analysis of sensor type importance for data preparation of real-time operational status monitoring in fused deposition modeling 3D printers

Nächster Artikel Experimental and numerical optimization of deep drawing process parameters for square medical container design with the Taguchi method

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Titel: A novel method of optimized selective assembly for remanufactured products
verfasst von: Zisheng Wang
Xingyu Jiang
Guozhe Yang
Boxue Song
Zhijia Ni
Ren Zhang
Publikationsdatum: 02.04.2024
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 5-6/2024
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-024-13464-4

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