A fuzzy logic based predictor model for disc cutter chip production rate
"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, leaf iii.
Gertsch, Leslie S.
Saperstein, Lee W.
Summers, David A.
Grayson, R. Larry
Mining and Nuclear Engineering
Ph. D. in Mining Engineering
Missouri University of Science and Technology
xviii, 211 leaves
© 2009 Oyku Selimoglu, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Fuzzy logic -- Industrial applications
Mining machinery -- Cutter bars
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b7430016~S5
Selimoglu, Oyku, "A fuzzy logic based predictor model for disc cutter chip production rate" (2009). Doctoral Dissertations. 1777.
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