Document Type
Thesis
Date of Award
1-31-1991
Degree Name
Master of Science in Manufacturing Engineering - (M.S.)
Department
Manufacturing Engineering Division
First Advisor
Nouri Levy
Second Advisor
Keith T. O'Brien
Third Advisor
Rong-Yaw Chen
Abstract
This thesis deals with the identification of different machined surfaces with artificial inteligence techniques. There are five kinds of machining operations: grinding, turning, milling, EDM and waterjet which determine the characteristics of resulting surfaces. Topology of various specimens is measured using the surfanylizer. Twenty one parameters are extracted from the measurements to describe the characteristics. In this thesis, we develop neural and expert systems that recoginize and classify surfaces according to the machining methods.
Recommended Citation
Chou, Yi-Ching, "Development of techniques of artificial intelligence in identifying the different machined surfaces" (1991). Theses. 2466.
https://digitalcommons.njit.edu/theses/2466
