Part location algorithms for an Intelligent Fixturing System part 2: Algorithm testing and evaluation

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

Research output: Contribution to journalArticlepeer-review

9 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 2 of this paper describes a series of simulation experiments that was carried out to assess the accuracy and computation speed of the SeQuential Least Squares (SQLS) algorithm, the SiMultaneous Least Squares (SMLS) algorithm, and the SQLS-SMLS (fixed cd) algorithm. The results of this study reveal that the SQLS algorithm is fast to execute, but its accuracy is very sensitive to random variations in the coordinate data. Alternatively, the SMLS algorithm is insensitive to random variations in the coordinate data but is computationally more expensive to execute. Furthermore, its accuracy is sensitive to bias errors in the chordal distance between the dowel holes. Only the SQLS-SMLS (fixed cd) is insensitive to both types of variations.

Original languageEnglish (US)
Pages (from-to)135-148
Number of pages14
JournalJournal of Manufacturing Systems
Volume20
Issue number2
DOIs
StatePublished - 2001

All Science Journal Classification (ASJC) codes

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

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