For manufacturing personnel there exist two major tasks: determination of the quality of the build, and locating build errors if the quality is inferior. To serve this purpose a coordinate measuring machine is employed to determine the actual locations of designated material points. Depending on the measuring coordinate frame chosen, the initial raw data, unfortunately, do not impartially represent the true deviations of all the measurement points. This paper shows a technique to overcome this inevitable drawback embedded in the CMMs and determine if the build has acceptable quality under specified tolerances. Also presented in this paper is a method to quantify the quality of the measurement points for easy identification of build errors. Numerical examples are given to demonstrate the feasibility of the technique.

1.
Choi, W., and Kurfess, T. R., 1996, “Dimensional Measurement Data Analysis, Parts I and II,” Manufacturing Science and Engineering—ASME 1996, MED-Vol. 4, pp. 447–462.
2.
Jones
S. D.
, and
Ulsoy
A. G.
,
1995
, “
An Optimization Strategy for Maximizing Coordinate Measuring Machine Productivity, Part 1: Quantifying the Effects of Operating Speed on Measurement Quality
,”
ASME Journal Of Engineering For Industry
, Vol.
117
, pp.
601
609
.
3.
Jones
S. D.
, and
Ulsoy
A. G.
,
1995
, “
An Optimization Strategy for Maximizing Coordinate Measuring Machine Productivity, Part 2: Problem Formulation, Solution, and Experimental Results
,”
ASME JOURNAL OF ENGINEERING FOR INDUSTRY
, Vol.
117
, pp.
610
618
.
4.
Lu, E., Ni, J., and Wu, S. M., 1992, “An Integrated Lattice Filter Adaptive Control System for Time-Varying CMM Structural Vibration Control: Part I—Theory and Simulation,” Sensor and Signal Processing for Manufacturing, Proceedings of the ASME Winter Annual Meeting, Anaheim, CA.
5.
Lu
E.
,
Ni
J.
, and
Wu
S. M.
,
1994
, “
An Algorithm for the Generation of an Optimum CMM Inspection Path
,”
ASME Journal of Dynamic Systems, Measurement, and Control
, Vol.
116
, pp.
396
404
.
6.
Menq
C. H.
,
Yau
H. T.
, and
Wong
C. L.
,
1992
, “
An Intelligent Planning Environment for Automated Dimensional Inspection Using Coordinate Measurement Machines
,”
ASME JOURNAL OF ENGINEERING FOR INDUSTRY
, Vol.
114
, No.
2
, pp.
222
230
.
7.
Mortenson, M. E., 1985, Geometric Modeling, John Wiley & Sons.
8.
Patrikalakis
N. M.
, and
Bardis
L.
,
1991
, “
Localization of Rational B-Spline Surfaces
,”
Engineering with Computers
, Vol.
7
, No.
4
, pp.
237
252
.
9.
Press, W. H., Flannery, B. P., Teukolsky, A. A., and Vetterling, W. T., Numerical Recipes The Art of Scientific Computing, Cambridge University Press, 1986.
10.
Reklaitis, G. V., Ravindran, A., and Ragsdell, K. M., Engineering Optimization Methods and Applications, John Wiley and Sons, 1983.
11.
Red, W. E., Truong-Cao, Hung-Yiet, and Kim, K. H., 1985, “Path Planning in Three-Dimensions Using the Direct Subspace,” ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 104.
12.
Thorne, H. F., Prinz, F. B., and Kirchner, H. O. K., 1985, Robotic Inspection by Database Matching, The Robotic Institute, Carnegie Mellon University, CMU-RI-TR-85-4.
13.
Yau
H.-T.
, and
Menq
C.-H.
,
1996
, “
A Unified Least-Squares Approach to the Evaluation of Geometric Errors Using Discrete Measurement Data
,”
International Journal of Machine Tools and Manufacture
, Vol.
36
, No.
11
, pp.
1269
1290
.
This content is only available via PDF.
You do not currently have access to this content.