Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/22083
Title: Development of a knowledge-based expert system for solving metal cutting problems
Authors: Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.
0000-0001-9126-0315
Çakır, M. Cemal
Çavdar, Kadir
A-4627-2018
14044730900
56242537600
Keywords: Materials science
Tool wear
KBS
Expert systems
Metal cutting problems
Operations
Design
Drilling
Metal cutting
Milling (machining)
Turning
Issue Date: 2006
Publisher: Elsevier Science
Citation: Çakır, M. C. ve Çavdar, K. (2006). ''Development of a knowledge-based expert system for solving metal cutting problems''. Materials & Design, 27(10), 1027-1034.
Abstract: In metal cutting, the problems need to be well analyzed in order to take precautions before any unexpected results are encountered. This process plays a significant role in achieving consistent quality and in controlling the overall cost of manufacturing. However, it is a difficult task that needs an expert who has a great deal of information and experience in metal cutting. In the present paper, a knowledge-based expert system (COROSolve) that investigates problems that are encountered in three main metal cutting areas: turning, milling and drilling is developed. A great deal of metal cutting operations such as external/internal turning with negative/positive inserts, aluminum turning, parting bars/tubes, grooving, profiling, recessing and threading operations in turning; face milling, square shoulder milling, end milling, multi-purpose milling and side and face milling operations in milling; and drilling operations that use solid drills or drills with indexable inserts in drilling are taken into consideration. COROSolve gives recommendations for the cutting data (i.e., cutting speed, depth of cut, and feed) and updates the problem, cause and remedy database, thus the number of problems that the system can handle is increased
URI: https://doi.org/10.1016/j.matdes.2005.01.022
https://www.sciencedirect.com/science/article/pii/S0261306905000464
http://hdl.handle.net/11452/22083
ISSN: 0264-1275
1873-4197
Appears in Collections:Scopus
Web of Science

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