Abstract Design for Manufacturability (DFM) represents a new awareness of the importance of product design as an integral part of manufacturing activities. Good design guidelines exist in industry for frequently used manufacturing processes. These guidelines are systematic statements of good design practices, empirically derived over years of design and manufacturing experience. Ensuring that the given product design conforms to each of the guidelines specific to the selected process results in better manufacturability. To meet the objectives of the DFM approach, design and manufacturing planning activities have to be combined into a single engineering effort and applied througout the life cycle of a product. Computer-aided design (CAD) systems offer powerful features such as the ability to develop complex solid models and perform engineering analyses, including stress analysis, interobject interference, collision detection, and inertial analysis. However, a prominent limitation faced by designers in CAD systems is the lack of “intelligence.” Though designs could be developed, analyzed, and perfected from a functional viewpoint in CAD systems, manufacturability consideration may get little or no attention at all. As a result, product designs that are functionally sound may be developed at a high manufacturing cost. Thus, intelligence should be incorporated in CAD systems, whereby product designs could not only be developed and analyzed but also evaluated for cost and manufacturability. This study attempts to perform this task automatically in a CAD system using a knowledge-based approach: the manufacturability criteria are considered for milling and drilling operations performed on a computerized numerically controlled (CNC) milling machine. The results obtained from the application of the expert system suggest that the expert systems methodology is a feasible method for implementing manufacturability evaluation capability in CAD systems.
[1]
Qiuming Zhu,et al.
A symbolic approach to the fast design of industrial piping systems
,
1987
.
[2]
H. W. Stoll.
Design for Manufacture: An Overview
,
1986
.
[3]
Bala Ram,et al.
Feature based models for manufacturability assessment
,
1992
.
[4]
Li Lin,et al.
Rule-based automatic part feature extraction and recognition from CAD data
,
1992
.
[5]
Tony C. Woo,et al.
Interfacing Solid Modeling to CAD and CAM: Data Structures and Algorithms for Decomposing a Solid
,
1984,
Computer.
[6]
Byoung Kyu Choi,et al.
Automatic recognition of machined surfaces from a 3D solid model
,
1984
.
[7]
Mark Henderson,et al.
Computer recognition and extraction of form features: A CAD/CAM link
,
1984
.
[8]
S. S. Pande,et al.
An expert system for automatic extraction of machining features and tooling selection for automats
,
1990
.
[9]
David M. Miller,et al.
A knowledge-based approach to design for manufacturability
,
1993,
J. Intell. Manuf..
[10]
Zen Chen,et al.
Automatic 3D machining feature extraction from 3D CSG solid input
,
1990,
Comput. Aided Des..