Part location algorithms for an intelligent fixturing system part 1: system description and algorithm development

✍ Scribed by Deep Chakraborty; Edward C. De Meter; Philip S. Szuba

• Publisher: Society of Manufacturing Engineers
• Year: 2001
• Tongue: English
• Weight: 869 KB
• Volume: 20
• Category: Article
• ISSN: 0278-6125
• DOI: 10.1016/s0278-6125(01)80035-2

✦ Synopsis

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.