TY - GEN
T1 - Automated process planning and CNC-Code generation
AU - Turley, Sean P.
AU - Diederich, David M.
AU - Jayanthi, Bhanu K.
AU - Datar, Anuj
AU - Ligetti, Christopher B.
AU - Finke, Daniel A.
AU - Saldana, Christopher
AU - Joshi, Sanjay
PY - 2014
Y1 - 2014
N2 - Traditional process planning systems require human input to interface between CAD and CAM systems. The purpose of the present study is the development of a generative process planning methodology for automated generation of CNC codes for 3-axis milling centers with the native CAD geometry as the only primary input. The proposed methodology uses geometric reasoning algorithms for recognizing machinable volumes, set up planning, fixture planning, tool selection, and tool path selection to generate machine codes. Rather than recognizing arbitrary defined machined features, specific features are recognized and mapped to machine tool paths in tool path planning software, thus allowing integration with commercially available software for CNC code generation. The geometric reasoning algorithms use boundary representation (B-rep) to decompose removal volumes into discrete milling operations. The algorithms presented here encompasses planar and cylindrical faces, but are flexible in that they can be extended to handle more complex geometry. Mastercam is then used (via an application programming interface) to generate tool paths using scripted point-by-point specification of tool paths, machine linking parameters and tool settings for each of these milling operations. Results pertaining to of end-to-end integration of the algorithms in the automated process planning and machining of test parts through multiple setups are presented and discussed.
AB - Traditional process planning systems require human input to interface between CAD and CAM systems. The purpose of the present study is the development of a generative process planning methodology for automated generation of CNC codes for 3-axis milling centers with the native CAD geometry as the only primary input. The proposed methodology uses geometric reasoning algorithms for recognizing machinable volumes, set up planning, fixture planning, tool selection, and tool path selection to generate machine codes. Rather than recognizing arbitrary defined machined features, specific features are recognized and mapped to machine tool paths in tool path planning software, thus allowing integration with commercially available software for CNC code generation. The geometric reasoning algorithms use boundary representation (B-rep) to decompose removal volumes into discrete milling operations. The algorithms presented here encompasses planar and cylindrical faces, but are flexible in that they can be extended to handle more complex geometry. Mastercam is then used (via an application programming interface) to generate tool paths using scripted point-by-point specification of tool paths, machine linking parameters and tool settings for each of these milling operations. Results pertaining to of end-to-end integration of the algorithms in the automated process planning and machining of test parts through multiple setups are presented and discussed.
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M3 - Conference contribution
AN - SCOPUS:84910069934
T3 - IIE Annual Conference and Expo 2014
SP - 2138
EP - 2144
BT - IIE Annual Conference and Expo 2014
PB - Institute of Industrial Engineers
T2 - IIE Annual Conference and Expo 2014
Y2 - 31 May 2014 through 3 June 2014
ER -