Arm: A tool for identifying and repairing un-machinable shapes in designs

Abstract Providing early feedback on the manufacturability of a part design can greatly improve the quality of the product while reducing the time and cost of production. However, the necessary manufacturing knowledge is not always available. Computer tools that can provide this manufacturing knowledge by analyzing a design suggesting changes to improve its manufacturability would be a valuable asset to a designer. To this end, we present an approach to automatically generate redesign suggestions to improve the manufacturability of machined parts. Novel aspects of this approach include the ability to identify un-machinable shapes in a part and transform them into machinable features and to automatically identify the possible shape transformations based on properties of the machining equipment. This increases the scope of redesign generation tools by allowing them to be applied to parts that are not already machinable. We have developed a system called automated redesign for machined parts ( Arm ) that assists users in repairing parts that contain un-machinable shapes.

[1]  Y. Kim Volumetric Feature Recognition Using Convex Decomposition , 1994 .

[2]  Aristides A. G. Requicha,et al.  Integration of feature based design and feature recognition , 1995, Comput. Aided Des..

[3]  J. Shah,et al.  Determination Of Machining Volumes From Extensible Sets Of Design Features , 1994 .

[4]  Satyandra K. Gupta,et al.  Generating redesign suggestions to reduce setup cost: a step towards automated redesign , 1996, Comput. Aided Des..

[5]  Daniel M. Gaines,et al.  Effector-based goal and operator construction: a model for the design of effector adaptive planners , 1998 .

[6]  Aristides A. G. Requicha,et al.  Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Chell A. Roberts,et al.  Generating resource based flexible form manufacturing features through objective driven clustering , 1999, Comput. Aided Des..

[8]  T. C. Chang,et al.  Graph-based heuristics for recognition of machined features from a 3D solid model , 1988 .

[9]  C. C. Hayes Plan-based manufacturability analysis and generation of shape-changing redesign suggestions , 1996, J. Intell. Manuf..

[10]  Jami J. Shah,et al.  Advances in Feature-Based Manufacturing , 1994 .

[11]  Daniel M. Gaines,et al.  C-C: a customizable feature recognizer , 1999, Comput. Aided Des..

[12]  Daniel M. Gaines,et al.  A National Repository for Design and Process Planning , 1997 .

[13]  Daniel M. Gaines,et al.  MEDIATOR: A Resource Adaptive Feature Recognizer that Intertwines Feature Extraction and Manufacturing Analysis , 1999 .

[14]  Satyandra K. Gupta,et al.  Reducing Setup Cost by Automated Generation of Redesign Suggestions , 1994 .