Doctoral Dissertations
A fuzzy logic based predictor model for disc cutter chip production rate
Abstract
"The main objective of this research was to develop a disc cutter chip production rate predictor model by using fuzzy logic. The performance of three different disc cutters (wide, narrow, long bladed narrow) was assessed on a linear rock cutting machine used to limit the fundamental relationships governing chip weights for Joachim Limestone and Roubidoux Sandstone. An accurate and reliable prediction of the disc cutter chip production rate was derived using chip weights, cut length, cut speed, cutting forces, spacing and penetration, which are elements critical to successful planning and execution of mechanical tunneling projects"--Abstract, page iii.
Advisor(s)
Gertsch, Leslie S.
Committee Member(s)
Drain, David
Saperstein, Lee W.
Summers, David A.
Grayson, R. Larry
Department(s)
Mining Engineering
Degree Name
Ph. D. in Mining Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2009
Pagination
xviii, 211 pages
Note about bibliography
Includes bibliographical references (pages 199-210).
Rights
© 2009 Oyku Selimoglu, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Fuzzy logic -- Industrial applications
Fuzzy logic
Mining machinery -- Cutter bars
Mining machinery
Thesis Number
T 9518
Print OCLC #
551192783
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.
http://merlin.lib.umsystem.edu/record=b7430016~S5Recommended Citation
Selimoglu, Oyku, "A fuzzy logic based predictor model for disc cutter chip production rate" (2009). Doctoral Dissertations. 1777.
https://scholarsmine.mst.edu/doctoral_dissertations/1777