Manufacturing evaluation using resource-based, template-free features

This paper addresses the theory and tools that promote rapid product and process development of machined products. A foundation of this approach is the application of a new definition of manufacturing features called resource-based free-form features. Using free-form features we demonstrate how cost, time and quality predictions, based on available equipment, are computed. We also introduce the concept of intelligently clustering alternative features to achieve better process alternatives. The approach presented herein is appropriate throughout the product design life-cycle as an aid to faster product realization by evaluating the parochial manufacturability of a completed design. In particular, this approach will provide the design team with cost, time and quality predictions, based on available equipment, that can be used to guide the design process. It also provides the manufacturing team with an approach to evaluating producibility and generating a production plan for a product model using available equipment in terms of cost, time and quality.

[1]  Byoung Kyu Choi,et al.  Automatic recognition of machined surfaces from a 3D solid model , 1984 .

[2]  Rangasami L. Kashyap,et al.  Geometric Reasoning for Recognition of Three-Dimensional Object Features , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

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

[4]  Satyandra K. Gupta,et al.  Integrating DFM with CAD through Design Critiquing , 1994 .

[5]  H.J.J. Kals,et al.  PART, a feature based computer aided process planning system , 1992 .

[6]  David G. Ullman,et al.  The Mechanical Design Process , 1992 .

[7]  Satyandra K. Gupta,et al.  A Methodology For Systematic Generation And Evaluation Of Alternative Operation Plans , 1994 .

[8]  Victor E. Kane,et al.  Process Capability Indices , 1986 .

[9]  J. A. Kirk,et al.  Manufacturability Analysis for a Flexible Manufacturing Cell , 1991 .

[10]  Nien-Hua Chao.  An intelligent CAD system for mechanical design , 1992 .

[11]  Mark Henderson,et al.  USING SYNTACTIC PATTERN RECOGNITION TO EXTRACT FEATURE INFORMATION FROM A SOLID GEOMETRIC DATA BASE. , 1983 .

[12]  Yong Se Kim,et al.  Recognition of form features using convex decomposition , 1992, Comput. Aided Des..

[13]  Sanjay Parthasarathy,et al.  Design and manufacturing advisor for turbine disks , 1987 .

[14]  Mark Henderson,et al.  Computer recognition and extraction of form features: A CAD/CAM link , 1984 .

[15]  G. Boothroyd,et al.  Estimating the Cost of Machined Components During the Conceptual Design of a Product , 1989 .

[16]  David C. Gossard,et al.  Recognizing shape features in solid models , 1990, IEEE Computer Graphics and Applications.

[17]  Ramon Bakerjian,et al.  Tool and Manufacturing Engineers Handbook , 1989 .

[18]  Costas Tsatsoulis,et al.  Redesigning for manufacturability using reinred , 1992, Appl. Artif. Intell..

[19]  William C. Regli,et al.  Recognition of Volumetric Features from CAD Models: Problem Formalization and Algorithms , 1993 .

[20]  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..

[21]  John W. Priest,et al.  Design producibility rating tool , 1990 .

[22]  Jyun-Lung Hwang.  Applying the perceptron to three-dimensional feature recognition , 1992 .

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