A Mathematical Transform to Analyze Part Surface Quality in Manufacturing  

Oleh:

Wood, Kristin L. ; Tumer, Irem Y. ; Busch-Vishniac, Ilene J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 122 no. 1 (Feb. 2000), page 273-279.
Topik: quality; mathematical transform; part surface quality; manufacturing

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The status of fault patterns on part surfaces can provide valuable information about the condition of a manufacturing system. Accurate detection of the part surface condition in manufacturing ensures the fault - free manufacturing of high - quality parts, as well as helping in the accurate design / redesign of machine components and manufacturing parameters. To address this problem, we introduce an alternative mathematical transform that has the potential to detect faults in manufacturing machines by decomposing signals into individual components. Specifically, the paper focuses on the decomposition of numerically generated data using the Karhunen - Loève transform to study a variety of signals from manufacturing. The potential utility of the proposed technique is then discussed in the context of understanding a manufacturing process under constant development.

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