@article {18830, title = {Estimation of Achievable Tolerances}, volume = {ISR; TR 1993-44}, year = {1993}, month = {1993///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {This report presents a new and systematic approach to assist decision-making in selecting machining operation plans. We present a methodology to estimate achievable tolerances of operations plan. Given an operation plan, we use variety of empirical and mathematical models to evaluate process capabilities of various machining operations and compute achievable tolerances using tolerance charting techniques.}, keywords = {Automation, computer aided manufacturing, Manufacturing, Manufacturing Systems}, url = {http://drum.lib.umd.edu//handle/1903/5389}, author = {Gupta, Satyandra K. and Nau, Dana S. and Zhang,G. M.} } @article {18854, title = {Interpreting Product Designs for Manufacturability Evaluation}, volume = {ISR; TR 1993-45}, year = {1993}, month = {1993///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {The ability to quickly introduce new quality products is a decisive factor in capturing market share. Because of pressing demands to reduce lead time, analyzing the manufacturability of the proposed design has become an important step in the design stage. In this paper we present an approach for evaluating the manufacturability of machined parts.

Evaluating manufacturability involves finding a way to manufacture the proposed design, and estimating the associated production cost and quality. However, there often can be several different ways to manufacture a proposed design - so to evaluate the manufacturability of the proposed design, we need to consider different ways to manufacture it, and determine which one best meets the manufacturing objectives.

In this paper we describe a methodology for systematically generating and evaluating alternative operation plans. As a first step, we identify all machining operations which can potentially be used to create the given design. Using these operations, we generate different operation plans for machining the part. Each time we generate a new operation plan, we assign it a manufacturability rating. The manufacturability rating for the design is the rating of the best operation plan.

We anticipate that by providing feedback about possible problems with the design, this work will be useful in providing a way to speed up the evaluation of new product designs in order to decide how or whether to manufacture them.}, keywords = {Automation, computer aided manufacturing, manufacturability, Manufacturing Systems}, url = {http://drum.lib.umd.edu//handle/1903/5390}, author = {Gupta, Satyandra K. and Nau, Dana S. and Zhang,G. M.} } @article {18836, title = {General of Machining Alternatives for Machinability Evaluation}, volume = {ISR; TR 1992-106}, year = {1992}, month = {1992///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {This paper presents a new methodology for evaluating the machinability of a machined part during the design stage of the product development cycle, so that problems related to machining can be recognized and corrected while the product is being designed. Our basic approach is to perform a systematic evaluation of machining alternatives throughout each step in the design stage. This involves three basic steps: (1) generate alternative interpretations of the design as different collections of machinable features, (2) generate the various possible sequences of machining operations capable of producing each interpretation, and (3) evaluate each operation sequence, to determine the relevant information on achievable quality and associated costs. The information provided by this analysis can be used not only to give feedback to the designer about problems that might arise with the machining, but also to provide information to the manufacturing engineer about alternative ways in which the part might be machined.}, keywords = {Automation, computer aided manufacturing, manufacturability, Manufacturing Systems}, url = {http://hdl.handle.net/1903/5287}, author = {Gupta, Satyandra K. and Nau, Dana S. and Zhang,G. M.} } @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.} } @article {18842, title = {Generation of Machining Alternatives for Machinability Evaluation}, volume = {ISR; TR 1992-106}, year = {1992}, month = {1992///}, institution = {Institute for Systems Research, University of Maryland, College Park}, abstract = {This paper presents a new methodology for evaluating the machinability of a machined part during the design stage of the product development cycle, so that problems related to machining can be recognized and corrected while the product is being designed. Our basic approach is to perform a systematic evaluation of machining alternatives throughout each step in the design stage. This involves three basic steps: (1) generate alternative interpretations of the design as different collections of machinable features, (2) generate the various possible sequences of machining operations capable of producing each interpretation, and (3) evaluate each operation sequence, to determine the relevant information on achievable quality and associated costs. The information provided by this analysis can be used not only to give feedback to the designer about problems that might arise with the machining, but also to provide information to the manufacturing engineer about alternative ways in which the part might be machined.}, keywords = {Automation, computer aided manufacturing, manufacturability, Manufacturing Systems}, url = {http://drum.lib.umd.edu//handle/1903/5287}, author = {Gupta, Satyandra K. and Nau, Dana S. and Zhang,G. M.} }