Part location algorithms for an Intelligent Fixturing System part 1: System description and algorithm development

Deep Chakraborty, Edward C. De Meter, Philip S. Szuba

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

An Intelligent Fixturing System (IFS) is currently being developed to hold a family of cylinder heads for machining operations. This system incorporates a Part Location System (PLS) to locate the workpiece reference frame of a cylinder head relative to a pallet. This two-part paper describes the development and evaluation of various part location algorithms that have been created for this application. Part 1 of this paper provides a detailed description of the IFS and the PLS and of the cylinder head location problem. It also provides a detailed description of three different algorithms that were developed for the PLS. The first algorithm, SeQuential Least Squares (SQLS), is based on the sequential, parametric regression model. The second class of algorithms, SiMultaneous Least Squares (SMLS), is based on the simultaneous, parametric regression model. The third algorithm, SQLS-SMLS (fixed cd) is a hybrid of the first two methods.

Original languageEnglish (US)
Pages (from-to)124-134
Number of pages11
JournalJournal of Manufacturing Systems
Volume20
Issue number2
DOIs
StatePublished - Jan 1 2001

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

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