A knowledge-based computer tool for casting process design

Nihar K. Nanda, Karl A Smith, Kenneth F. Haberle, Vaughan R Voller

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

When designing a manufacturing process, the goal is to cost-effectively produce a high-quality product. In casting, the aim is to generate an optimized process design that can produce a defect-free part as inexpensively as possible. Optimization of process design is an iterative process where an initial design is updated in the light of analysis. A good initial design would reduce the number of cycles in a process optimization. The work described in this article focuses on the development of a computer system that generates an initial design. The main philosophy of this system is based on the observation that a casting process design involves identifying features that are quantified in terms of attributes (e.g., thickness and location). The system operates on these attributes using process design heuristics to arrive at an initial design.

Original languageEnglish (US)
Pages (from-to)27-30
Number of pages4
JournalJOM
Volume46
Issue number9
DOIs
StatePublished - Sep 1 1994

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