TY - JOUR
T1 - Part location algorithms for an Intelligent Fixturing System part 2
T2 - Algorithm testing and evaluation
AU - Chakraborty, Deep
AU - De Meter, Edward C.
AU - Szuba, Philip S.
N1 - Funding Information:
The authors would like to acknowledge the technical support provided by Lamb Technicon Machining Systems, a division of Unova, throughout the course of this project. They would also like to acknowledge the financial support provided by the project, "Intelligent Fixturing System," that was funded in part by cooperative agreement 70NANB7H3023 through the National Institute of Standards and Technology--Advanced Technology Program. The authors would also like to acknowledge the technical support provided by the university partners of the NSF-Machine Tool-Agile Manufacturing Research Institute.
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
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U2 - 10.1016/S0278-6125(01)80036-4
DO - 10.1016/S0278-6125(01)80036-4
M3 - Article
AN - SCOPUS:0041905220
SN - 0278-6125
VL - 20
SP - 135
EP - 148
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
IS - 2
ER -