@mastersthesis {18816, title = {Automated Manufacturability Analysis of Machined Parts}, year = {1995}, month = {1995///}, school = {UNIVERSITY OF MARYLAND, COLLEGE PARK}, abstract = {Because of pressing demands to reduce lead time and product cost, increasing research attention is being given to integration of engineering design and manufacturing. In this thesis, a systematic approach has been developed for computer-aided manufacturability analysis of machined parts. This approach can be used during design stages to improve the product quality from the manufacturing point of view.

Evaluating the manufacturability of a proposed design involves determining whether or not it is manufacturable with a given set of manufacturing operations - and if so, then finding the associated manufacturing efficiency. In this research, the design is represented as a solid model. The tolerance and surface finish information is represented as attributes of various faces of the solid model. Machining features are used to model the available machining operations Since there can be several different ways to manufacture a proposed design, this requires considering alternative ways to manufacture it, in order to determine which one best meets the design and manufacturing objectives.

The approach developed in this thesis is based on the systematic exploration of various machining plans. The first step is to identify all machining features which can potentially be used to machine the given design. Using these features, different machining plans are generated. Each time a new plan generated, it is examined to find whether it can produce the desired design tolerances. If a plan is found to be capable of meeting the tolerance specifications, then its rating is computed. If no machining plan can be found that is capable of producing the design, then the design cannot be machined using the given set of machining operations; otherwise, the manufacturability rating of the design is computed. Since various alternative ways of machining the part are considered in this approach, the conclusions about the manufacturability are more realistic compared to the approach where just one alternative is considered.

It is anticipated that this research will help in speeding up the evaluation of new product designs in order to decide how or whether to manufacture them. Such a capability will be useful in responding quickly to changing demands and opportunities in the marketplace.}, keywords = {Automation, computer aided manufacturing, computer integrated manufacturing, Feature extraction, flexible manufacturing, manufacturability, Manufacturing, Solid modeling}, url = {http://drum.lib.umd.edu//handle/1903/5693}, author = {Gupta, Satyandra K.} } @article {18824, title = {Current Trends and Future Challenges in Automated Manufacturability Analysis}, volume = {ISR; TR 1995-16}, year = {1995}, month = {1995///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {In the marketplace of the 21st century, there is no place for traditional communications between design and manufacturing. In order to {\textquoteleft}{\textquoteleft}design it right the first time,{\textquoteright}{\textquoteright} designers must ensure that their products are both functional and easy to manufacture. Software tools have had some successes in reducing the barriers between design and manufacturing. Manufacturability analysis systems are emerging as one such tool---enabling identification of potential manufacturing problems during the design phase and providing suggestions to designers on how to eliminate them.

In this paper, we survey of current state of the art in automated manufacturability analysis. We describe the two dominant approaches to automated manufacturability analysis and overview representative systems based on their application domain. Finally, we attempt to expose some of the existing research challenges and future directions.}, keywords = {computer integrated manufacturing, manufacturability, Manufacturing, Solid modeling, Systems Integration Methodology}, url = {http://drum.lib.umd.edu//handle/1903/5611}, author = {Gupta, Satyandra K. and Das,Diganta and Regli,W. C. and Nau, Dana S.} } @article {18833, title = {Feature Recognition for Manufacturability Analysis}, volume = {ISR; TR 1994-10}, year = {1994}, month = {1994///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {While automated recognition of features has been attempted for a wide range of applications, no single existing approach possesses the functionality required to perform manufacturability analysis. In this paper, we present a methodology for taking a CAD model and extracting a set of machinable features suitable for generating all alternative interpretations of the model as collections of MRSEVs (Material Removal Shape Element Volumes, a STEP-based library of machining, features). This set of MRSEVs is to be employed for manufacturability analysis. The algorithm handles a variety of features including those describing holes, pockets, slots, and chamfering and filleting operations. In addition, it considers elementary accessibility constraints for these features and is provably complete over a, significant class of machinable parts the features describe. Further, the approach has low-order polynomial-time worst-case complexity.}, keywords = {algorithms, Automation, COMPUTER AIDED DESIGN, computer aided manufacturing, computer integrated manufacturing, Feature extraction, manufacturability, Manufacturing, Solid modeling, Systems Integration}, url = {http://drum.lib.umd.edu//handle/1903/5490}, author = {Regli,W. C. and Gupta, Satyandra K. and Nau, Dana S.} } @article {18840, title = {Generation and Evaluation of Alternative Operation}, volume = {ISR; TR 1992-20}, year = {1992}, month = {1992///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {This paper presents a new and systematic approach to assist decision-making in selecting machining operation sequences. The approach is to produce alternative interpretations of design as different collections of machinable features, use these interpretations to generate alternative machining operation sequences, and evaluate the cost and achievable machining accuracy of each operations sequence. Given the operation sequences and their evaluations, it is then possible to calculate the performance measures of interest, and use these performance measures to select, from among the various alternatives, one or more of them that can best balance the need for a quality product against the need for efficient machining.}, keywords = {Automation, computer aided manufacturing, computer integrated manufacturing, Feature extraction, flexible manufacturing, Manufacturing, Manufacturing Systems, Solid modeling}, url = {http://drum.lib.umd.edu//handle/1903/5203}, author = {Nau, Dana S. and Zhang,G. M. and Gupta, Satyandra K.} }