Pattern matching synthesis as an automated approach to mechanism design

D. A. Hoeltzel, Wei-Hua Chieng

Research output: Contribution to journalArticle

55 Scopus citations

Abstract

A new knowledge-based approach for the synthesis of mechanisms, referred to as Pattern Matching Synthesis, has been developed based on a combination of committee machine and Hopfield neutral network models of pattern classification and matching applied to coupler curves. Computational tests performed on a dimensionally-parameterized four bar mechanism have yielded 15 distinct coupler curve groups (patterns) from a total of 356 generated coupler curves. This innovative approach represents a first step toward the automation of mapping structure-to-function in mechanism design based on the application of artificial intelligence programming techniques. Demonstrative examples of its application to “real-world” mechanism synthesis problems, including the design and evaluation of a two-stroke pump mechanism and the redesign of a variable-stroke engine mechanism have been included, establishing its viability for creative mechanism synthesis.

Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalJournal of Mechanisms, Transmissions, and Automation in Design
Volume112
Issue number2
DOIs
StatePublished - 1 Jun 1990

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