journal article·2025-04-24Open access

Evaluation of Disassembling Process Inference Based on Positional Relations Matrix

Kazuyuki Hanahara, Kaori Yamada

Applied Sciences· Volume 15· Issue 9

Abstract

Disassembling is an important process in the maintenance, reparation, and disposal of mechanical as well as structural systems. More often than not, however, disassembling processes are not prepared in advance; we need to organize the disassembling process based on the obtained arrangement information of the constituent parts of the system. In this study, we deal with a disassembling process inference based on the positional relations matrix. On the basis of the positional relations matrix, the geometrical constraints among the parts can be expressed in a general form. The developed disassembling process inference based on the matrix is considered to be practical. We have evaluated the practicality of the proposed disassembling process inference based on a number of disassembling problems which were generated by means of a problem-generation system based on random number generator. The obtained evaluation demonstrated that the proposed approach does not always result in the optimal disassembling process but provides a fairly appropriate disassembling process in general, and the required computational cost is considerably small. We concluded that the proposed disassembling process inference is practical enough.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Manufacturing Process and Optimization · Image Processing and 3D Reconstruction

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Science and Engineering, Iwate University, Morioka 020-8551, Japan

Funding

JSPS KAKENHI

References (19)

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