Date of Award
1991
Publication Type
Master Thesis
Degree Name
M.A.Sc.
Department
Industrial and Manufacturing Systems Engineering
Keywords
Engineering, Industrial.
Supervisor
Singh, N.,
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Most existing CAD systems do not provide part feature information which is essential for process planning. A fully automatic part feature recognition system serves as an efficient link between CAD and CAPP. A part feature recognition system for rotational parts is proposed in this research work. The system, which is named as INFERS, consists of three modules, capable of recognizing rotational parts with multiple parallel axes. Human interpretation for feature recognition is eliminated by INFERS during the whole process. Except for the data extraction section, INFERS is independent of CAD systems by which the part is drawn. The output of the system can be used as part feature input for a CAPP system. INFERS serves as a valuble link between CAD and CAPP systems.Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1991 .Q544. Source: Masters Abstracts International, Volume: 31-01, page: 0410. Supervisor: N. Singh. Thesis (M.A.Sc.)--University of Windsor (Canada), 1991.
Recommended Citation
Qi, Dengzhou., "INFERS: An intelligent feature recognition system for rotational parts." (1991). Electronic Theses and Dissertations. 2436.
https://scholar.uwindsor.ca/etd/2436