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.

A New Mechanism of Naming Topological Entities for Semantic Feature Operations

“…The naming techniques build a bridge between design variants and design intents. Wu presents a graph-based coding and decoding method with parameter information to maintain the design intent in constraint-based variational design system [11]. At the same time, parameter vector field is used to describe a mathematical definition on comparability between original model and regenerated model.…”