Coding and Decoding of Topological Entities in Constraint-Based Variational Design

Tao Wu; Yi Shan Xi; Zhang Li; Yan Ling Wan

doi:10.4028/www.scientific.net/AMR.44-46.201

Paper Titles

Research on System of Quality Assessing and Defects' Information Managing of Strip Steel Surface
p.173

Modulus Prediction for 2D PWF Composites
p.181

Journal Bearing Wear Monitoring via On-Line Visual Ferrography
p.189

Finite Element Analysis on Fatigue Stress History of a Railway Bogie Bolster
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Coding and Decoding of Topological Entities in Constraint-Based Variational Design
p.201

A Framework to Integration Development Process
p.209

Process Planning Dynamic Model Based on HOOPN for Top-Down Collaborative Assembly Design
p.215

A Novel Methodology to Manage Uncertainty for Multidisciplinary Design and Optimization in Conceptual Design
p.225

Radial Clearance is Key Factor Affecting Roller Bearing Life Prediction in Tri-Cone Bit
p.233

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 44-46Coding and Decoding of Topological Entities in...

Coding and Decoding of Topological Entities in Constraint-Based Variational Design

Abstract:

In top-down, constraint-based variational design environment, user expresses his design intent through a series of construction steps that will be further transferred to design variants maintained by the system. Persistent naming techniques build a bridge between design variants and user design intent. The graph-based coding and decoding method together with parameter information, presented in this paper successfully maintain the user design intent in constraint-based variational design. Besides, the energy of parameter vector field decoding method gives a mathematical definition on comparability between original model and regenerated model.