Development of A Fuzzy-Neuro System for Parameter Resetting of Injection Molding  

Oleh:

Liu, T. I. ; He, W. ; Zhang, Y.F. ; Lee, K.S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 123 no. 1 (Feb. 2001), page 110-118.
Topik: parameters; injection molding; fuzzy neuro system; parameter resetting

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

An intelligent system has been used for injection molding. Five molded part defects, two mold parameters and the part weight are used as system inputs which are described by fuzzy terms. Twenty process parameter adjusters on an injection molding machine are used as the outputs. A neural network has been trained using the data obtained from test - runs of injection molding. The intelligent system can predict the amount to be adjusted for each parameter towards reducing or eliminating the observed defects. Using this system for the parameter resetting, production time and efforts can be saved drastically. Feasibility studies showed that this intelligent system is capable of reducing the test run time by at least 80 percent.

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