Design surface feature recognition for near net shaped manufactured components

该项目的目的是研究方法和技术，在给定从头设计要求的情况下，允许从以前设计的知识数据库中智能地搜索相似的模式，包括几何和物理状态，从而评估成功设计的可能性，并根据以前的经验提出潜在的替代方案

The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience The plan is to approach the research problem from a machine learning/pattern recognition point of view. By mapping the characterized properties into a search space of reduced dimensionality in which feature patterns have been pre-classified through supervised training, it should be possible to identify similar features.