In history based parametric CAD modeling systems, persistent identification of the topological entities after design modification is mandatory to keep the design intent by recording model creation history and modification history. Persistent identification of geometric and topological entities is necessary in the product design phase as well as in the re-evaluation stage. For the identification, entities should be named first according to the methodology which will be applicable for all the entities unconditionally. After successive feature operations on a part body, topology based persistent identification mechanism generates ambiguity problem that usually stems from topology splitting and topology merging. Solving the ambiguity problem ne...
Topological data analysis is a branch of computational topology which uses algebra to obtain topolo...
In many modelling fields, such as architecture, archaeology or CAD, performing many variations of th...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
AbstractIn history based parametric CAD modeling systems, persistent identification of the topologic...
Parametric CAD modelling systems requires the successful CAD model creation and modification in the ...
Nowadays, many commercial CAD systems support history-based, constraint-based and feature-based mode...
One of the principal tasks of history based parametric modelling is to maintain the design history o...
International audienceThe ability of 3D modeling tools to generate automatically various versions of...
Entity reconstruction is a very important problem in history-based and feature-based solid modeling ...
Current parametric modeling systems suffer from the per-sistent naming problem, which is responsible...
10 pagesInternational audienceIn current parametric systems, the persistent naming issue (based on e...
Topology Optimization has been proven to be a useful tool in discovering non-intuitive optimal desig...
Nowadays, parametric systems support history-based, constraint-based and feature-based modeling. One...
Nearly all major commercial computer-aided design systems have adopted a feature-based design approa...
Topological Data Analysis (TDA) is a novel statistical technique, particularly powerful for the anal...
Topological data analysis is a branch of computational topology which uses algebra to obtain topolo...
In many modelling fields, such as architecture, archaeology or CAD, performing many variations of th...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...
AbstractIn history based parametric CAD modeling systems, persistent identification of the topologic...
Parametric CAD modelling systems requires the successful CAD model creation and modification in the ...
Nowadays, many commercial CAD systems support history-based, constraint-based and feature-based mode...
One of the principal tasks of history based parametric modelling is to maintain the design history o...
International audienceThe ability of 3D modeling tools to generate automatically various versions of...
Entity reconstruction is a very important problem in history-based and feature-based solid modeling ...
Current parametric modeling systems suffer from the per-sistent naming problem, which is responsible...
10 pagesInternational audienceIn current parametric systems, the persistent naming issue (based on e...
Topology Optimization has been proven to be a useful tool in discovering non-intuitive optimal desig...
Nowadays, parametric systems support history-based, constraint-based and feature-based modeling. One...
Nearly all major commercial computer-aided design systems have adopted a feature-based design approa...
Topological Data Analysis (TDA) is a novel statistical technique, particularly powerful for the anal...
Topological data analysis is a branch of computational topology which uses algebra to obtain topolo...
In many modelling fields, such as architecture, archaeology or CAD, performing many variations of th...
Persistent homology is a powerful notion rooted in topological data analysis which allows for retrie...