Study on the Failure Mechanism of the Polymorphic Mixture for Remanufactured Machinery Parts

Liu, C. H.; Li, W. Y.; Rao, Weizhen; He, Kang

doi:10.1007/s11223-018-9954-0

Cited by 2 publications

(2 citation statements)

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“…It can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts. Compared with the other reassembly quality control method (Ge et al, 2014;Hu et al, 2016;Liu et al, 2018a) and remanufacturing classification method (Liu et al, 2016a(Liu et al, , 2016b(Liu et al, , 2016c, this study can define the relationship between the uncertainty and the quality of the remanufactured assembly and provide accurate quantitative guidance for the operation and control of the reassembly station. In terms of above analysis, the proposed method has advantages for online quality control for reassembly (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

“…On the whole, the literature (Liu et al, 2018a;Liu et al, 2018b; promotes the development and progress of reassembly quality. However, the following research gaps prevail: Most of the remanufacturing research takes the uncertainty of remanufacturing parts as a kind of constraint or qualitative treatment; there are very few research studies on quantitatively measuring its uncertainty.…”

Section: Introductionmentioning

confidence: 99%

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The coupling mechanism of reassembly quality with uncertainty of remanufactured parts

Zhang

Liu

et al. 2019

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Purpose The uncertainty of remanufacturing parts is a key factor affecting the quality of remanufactured products. Therefore, the purpose of this paper is to measure the uncertainty of remanufactured parts and study the coupling mechanism of reassembly quality. Design/methodology/approach First, uncertainty of remanufactured parts is analyzed, and the uncertainty measure model for remanufacturing parts based on entropy is constructed. Second, the nonlinear mapping model between the uncertainty and reassembly quality were studied using Gauss-Newton iterative method to reveal the coupling mechanism between uncertainty of remanufacturing parts and reassembly quality. Finally, the model is verified in the reassembly process of remanufacturing cylinder head. Findings The method can guide reassembly operations to improve the reassembly quality with uncertainty of remanufactured parts. Originality/value This study provides practical implications by developing a multivariate nonlinear mapping model for reassembly quality based on entropy to determine the uncertainty factors that affect the reassembly quality significantly and then correct the reassembly operation to better optimize the allocation of remanufacturing production resources. The study also theoretically contributes to reveal the coupling mechanism of reassembly quality with the uncertainty of remanufactured parts.

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