The high-efficiency utilization of cutting tool resource is closely related to the flexible decision of tool life criterion, which plays a key role in manufacturing systems. Targeting a flexible method to evaluate tool life, this paper presents a data-driven approach considering all the machining quality requirements, e.g., surface integrity, machining accuracy, machining stability, chip control, and machining efficiency. Within the context, to connect tool life with machining requirements, all patterns of tool wear including flank face wear and rake face wear are fully concerned. In this approach, tool life is evaluated systematically and comprehensively. There is no generalized system architecture currently, and a four-level architecture is therefore proposed. Workpiece, cutting condition, cutting parameter, and cutting tool are the input parameters, which constrain parts of the independent variables of the evaluation objective including first-level and second-level indexes. As a result, tool wears are the remaining independent variables, and they are calculated consequently. Finally, the performed processes of the method are experimentally validated by a case study of turning superalloys with a polycrystalline cubic boron nitride (PCBN) cutting tool.
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September 2017
Research-Article
A Novel Approach of Tool Wear Evaluation
Wei Ji,
Wei Ji
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Harbin 150080, China;
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mails: weiji@hrbust.edu.cn; weiji@kth.se
Harbin University of Science and Technology,
Harbin 150080, China;
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mails: weiji@hrbust.edu.cn; weiji@kth.se
Search for other works by this author on:
Jinkui Shi,
Jinkui Shi
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
Search for other works by this author on:
Xianli Liu,
Xianli Liu
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
e-mail: xianli.liu@hrbust.edu.cn
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
e-mail: xianli.liu@hrbust.edu.cn
Search for other works by this author on:
Lihui Wang,
Lihui Wang
Fellow ASME
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mail: lihui.wang@iip.kth.se
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mail: lihui.wang@iip.kth.se
Search for other works by this author on:
Steven Y. Liang
Steven Y. Liang
Fellow ASME
Mechanical Engineering for Advanced
Manufacturing Systems,
MARC,
Georgia Institute of Technology,
Atlanta, GA 30332-0405
e-mail: steven.liang@me.gatech.edu
Mechanical Engineering for Advanced
Manufacturing Systems,
MARC,
Georgia Institute of Technology,
Atlanta, GA 30332-0405
e-mail: steven.liang@me.gatech.edu
Search for other works by this author on:
Wei Ji
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Harbin 150080, China;
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mails: weiji@hrbust.edu.cn; weiji@kth.se
Harbin University of Science and Technology,
Harbin 150080, China;
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mails: weiji@hrbust.edu.cn; weiji@kth.se
Jinkui Shi
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
Xianli Liu
School of Mechanical and Power Engineering,
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
e-mail: xianli.liu@hrbust.edu.cn
Harbin University of Science and Technology,
Xuefu Road 52,
Harbin 150080, China
e-mail: xianli.liu@hrbust.edu.cn
Lihui Wang
Fellow ASME
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mail: lihui.wang@iip.kth.se
Department of Production Engineering,
KTH Royal Institute of Technology,
Brinellvägen 68,
Stockholm 100 44, Sweden
e-mail: lihui.wang@iip.kth.se
Steven Y. Liang
Fellow ASME
Mechanical Engineering for Advanced
Manufacturing Systems,
MARC,
Georgia Institute of Technology,
Atlanta, GA 30332-0405
e-mail: steven.liang@me.gatech.edu
Mechanical Engineering for Advanced
Manufacturing Systems,
MARC,
Georgia Institute of Technology,
Atlanta, GA 30332-0405
e-mail: steven.liang@me.gatech.edu
1Corresponding author.
Manuscript received January 26, 2017; final manuscript received June 23, 2017; published online July 24, 2017. Assoc. Editor: Laine Mears.
J. Manuf. Sci. Eng. Sep 2017, 139(9): 091015 (8 pages)
Published Online: July 24, 2017
Article history
Received:
January 26, 2017
Revised:
June 23, 2017
Citation
Ji, W., Shi, J., Liu, X., Wang, L., and Liang, S. Y. (July 24, 2017). "A Novel Approach of Tool Wear Evaluation." ASME. J. Manuf. Sci. Eng. September 2017; 139(9): 091015. https://doi.org/10.1115/1.4037231
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