TY - JOUR
T1 - Part location algorithms for an Intelligent Fixturing System part 1
T2 - System description and algorithm development
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 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.
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 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.
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U2 - 10.1016/S0278-6125(01)80035-2
DO - 10.1016/S0278-6125(01)80035-2
M3 - Article
AN - SCOPUS:0041404114
SN - 0278-6125
VL - 20
SP - 124
EP - 134
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
IS - 2
ER -