A decision-support method for information inconsistency resolution in direct modeling of CAD models. (April 2020)

• Record Type: Journal Article
• Authors: Zou, Qiang; Feng, Hsi-Yung
• Is Part Of: Advanced engineering informatics. Volume 44(2020)
• Publication Date: 2020-04
• Subjects: Computer-aided design -- Direct modeling -- Parametric modeling -- Information inconsistency -- Decision-making; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2020.101087
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: A thorough analysis of issues and challenges in direct modeling of CAD models. An effective decision-support tool for managing information inconsistencies in CAD models. An automatic method for reasoning information inconsistencies in CAD models. A new criterion for prioritizing inconsistency resolution options. Abstract: Direct modeling is a very recent CAD paradigm that can provide unprecedented modeling flexibility. It, however, lacks the parametric capability, which is indispensable to modern CAD systems. For direct modeling to have this capability, an additional associativity information layer in the form of geometric constraint systems needs to be incorporated into direct modeling. This is no trivial matter due to the possible inconsistencies between the associativity information and geometry information in a model after direct edits. The major issue of resolving such inconsistencies is that there often exist many resolution options. The challenge lies in avoiding invalid resolution options and prioritizing valid ones. This paper presents an effective method to support the user in making decisions among the resolution options. In particular, the method can provide automatic information inconsistency reasoning, avoid invalid resolution options completely, and guide the choice among valid resolution options. Case studies and comparisons have been conducted to demonstrate the effectiveness of the method.