June 15, 2014
June 15, 2014
June 18, 2014
Engineering Design Graphics
24.100.1 - 24.100.10
A Review of the Design Intent Concept in the Context of CAD Model Quality MetricsFrom the perspective of Computer Aided Design (CAD), Design Intent is a term commonlydefined as a model’s anticipated behavior once it undergoes alteration (ex. will holes continue toshare concentricity with an arc should the dimensions be modified?). Presently, there does notexist a standardized manner in which to explicitly communicate or deduce a CAD model’sdesign intent. The design tree (feature tree or history tree) in most parametric modelingapplications offers implicit depiction of design intent, but not all descriptive information isadequately conveyed (ex. a concentric constraint is not recorded in the design tree and is onlyaccessible if the requisite sketch is opened and examined). An explicit representation would beimmensely more valuable, especially for models with complex geometric features or for thoseworking in a collaborative design environment. This paper reviews current understanding ofdesign intent (with an exploration of its relationship to Design Rationale), including applicableorganizational CAD standards and industry style guidelines (where available).Design Intent, however, is but one possible dimension of a model’s quality. Other qualitydimensions could include, but are not limited to, validity, completeness, consistency,conciseness, etc. The authors additionally propose to examine how all dimensions of qualitymodels can be expressed in appropriate assertions and how systemized proper modeling practicescan be applied to key dimensions in a categorized method. These practices can then provide forthe development of a novel set of modeling rubrics that emphasize model quality as the centralgoal of CAD learners, as well as provide a method for suitable quality model assessment.
Otey, J. M., & Company, P., & Contero, M., & Camba, J. D. (2014, June), A Review of the Design Intent Concept in the Context of CAD Model Quality Metrics Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/19992
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