An Intelligent Fixturing System (IFS) is currently being developed to hold
a family of cylinder heads for machining operations. This system incorporat
es 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 dev
elopment and evaluation of various part location algorithms that have been
created for this application. Part 2 of this paper describes a series of si
mulation experiments that was carried out to assess the accuracy and comput
ation speed of the SeQuential Least Squares (SQLS) algorithm, the SiMultane
ous Least Squares (SMLS) algorithm, and the SQLS-SMLS (fixed cd) algorithm.
The results of this study reveal that the SQLS algorithm is fast to execut
e, but its accuracy is very sensitive to random variations in the coordinat
e data. Alternatively, the SMLS algorithm is insensitive to random variatio
ns in the coordinate data but is computationally more expensive to execute.
Furthermore, its accuracy is sensitive to bias errors in the chordal dista
nce between the dowel holes. Only the SQLS-SMLS (fixed cd) is insensitive t
o both types of variations.