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Robert B. Jerard, Robert L. Drysdale, Kenneth Hauck, Barry Schaudt, John Magewick, "Methods for Detecting Errors in Numerically Controlled Machining of Sculptured Surfaces," IEEE Computer Graphics and Applications, vol. 9, no. 1, pp. 2639, January/February, 1989.  
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@article{ 10.1109/38.20331, author = {Robert B. Jerard and Robert L. Drysdale and Kenneth Hauck and Barry Schaudt and John Magewick}, title = {Methods for Detecting Errors in Numerically Controlled Machining of Sculptured Surfaces}, journal ={IEEE Computer Graphics and Applications}, volume = {9}, number = {1}, issn = {02721716}, year = {1989}, pages = {2639}, doi = {http://doi.ieeecomputersociety.org/10.1109/38.20331}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
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TY  MGZN JO  IEEE Computer Graphics and Applications TI  Methods for Detecting Errors in Numerically Controlled Machining of Sculptured Surfaces IS  1 SN  02721716 SP26 EP39 EPD  2639 A1  Robert B. Jerard, A1  Robert L. Drysdale, A1  Kenneth Hauck, A1  Barry Schaudt, A1  John Magewick, PY  1989 VL  9 JA  IEEE Computer Graphics and Applications ER   
The numerically controlled (NC) machining of sculptured surfaces is an errorprone process often requiring several attempts before an errorfree NC program is produced. A technique designed to move the NC proof process into software is described. The system outputs a colorcoded graphics display of the machined surface that shows outoftolerance areas. To gain efficiency, surface curvature and cuttingtool size are used as inputs to a surface discretization algorithm, which guarantees that a userdefined level of simulation accuracy is achieved. The simulation time grows linearly in both desired accuracy and in the number of tool movements. In typical test cases, NC programs for complex automotive body panels were simulated and verified in CPU times that ranged between 5 and 30 minutes.
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