A fuzzy logic based predictor model for disc cutter chip production rate

Author

Oyku Selimoglu

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.

Recommended 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