Li Tao
Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Female
Alma Mater:Harbin Institute of Technology
Degree:Doctoral Degree
School/Department:School of Mechanical Engineering
Discipline:Mechanical Design and Theory. Intelligent Manufacturing. Mechanical Manufacture and Automation. Mechanical Engineering. Intelligent Manufacturing Technology
Business Address:8027 room, School of Mechanical Engineering building
E-Mail:
Hits:
Date:2019-03-13
Indexed by:Journal Article
Date of Publication:2008-01-01
Journal:Information Technology Journal
Included Journals:Scopus、EI
Volume:7
Issue:5
Page Number:783-789
Abstract:Feature-based method is the focus of heterogeneous CAD model exchange. In order to keep the consistency of design intent in heterogeneous CAD model exchange, a constraint conversion method was proposed. Firstly, Feature transformation ways were given to support the correct conversion of constraint. Secondly, the geometric certificate was improved to identify geometric elements and geometric element is the acting object of constraint. Thirdly, the constraint conversion method on level of feature was proposed corresponding to different types of feature and the global transformation method of constraint during heterogeneous CAD models exchanging. Finally, a trans formation case of part model from CATIA to UG shows that the approach proposed above is effective. © 2008 Asian Network for Scientific Information.
Ph.D, associate professor, doctoral supervisor, graduated from Harbin Institute of technology, mainly engaged in product sustainability evaluation methods, laser repair technology, mechanical equipment energy consumption analysis and evaluation, enterprise information technology development and application. Reviewers of many domestic and foreign journals in related fields, presided over or participated in more than 20 projects of national key research and development plan, national 973 program, national Natural Science Foundation of China and enterprises, and published more than 100 papers. Ph.D Li has trained or assisted in the training of more than 50 doctoral and master degree students.
