Grinding is an important abrasive machining process at the end of many process chains. Understanding energy transformation in grinding is not only important to improve energy efficiency but also crucial for understanding the chip formation process itself. Grinding energy can be studied at the macroscopic or microscopic levels, wherein the entire grinding tool is considered or the phenomena at the single cutting edges are studied. This paper explores existing energy modeling approaches in grinding with particular emphasis on physical models. Models on energy transformation during the ductile grit–workpiece engagement for three regimes —being friction, plowing, and shearing —are explained. In addition to the critical depth of cut (DOC) when chip formation starts, a critical depth when plowing begins is introduced to divide between the different regimes. Selected models for each regime are combined to an integrated grinding energy model that allows researchers to investigate forces and energy during grit engagement.
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December 2017
Research-Article
Grinding Energy Modeling Based on Friction, Plowing, and Shearing Available to Purchase
Barbara S. Linke,
Barbara S. Linke
Mem. ASME
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Search for other works by this author on:
Ian Garretson,
Ian Garretson
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Search for other works by this author on:
Francois Torner,
Francois Torner
Department of Mechanical and Process
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
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Joerg Seewig
Joerg Seewig
Department of Mechanical and Process
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Search for other works by this author on:
Barbara S. Linke
Mem. ASME
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Ian Garretson
Mechanical and Aerospace
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Engineering Department,
University of California Davis,
1 Shields Avenue,
Davis, CA 95616
e-mail: [email protected]
Francois Torner
Department of Mechanical and Process
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Joerg Seewig
Department of Mechanical and Process
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Engineering,
Institute for Measurement
and Sensor-Technology,
University of Kaiserslautern,
Gottlieb-Daimler-Straße,
Kaiserslautern 67663, Germany
e-mail: [email protected]
Manuscript received March 30, 2017; final manuscript received June 15, 2017; published online November 2, 2017. Assoc. Editor: Mark Jackson.
J. Manuf. Sci. Eng. Dec 2017, 139(12): 121009 (11 pages)
Published Online: November 2, 2017
Article history
Received:
March 30, 2017
Revised:
June 15, 2017
Citation
Linke, B. S., Garretson, I., Torner, F., and Seewig, J. (November 2, 2017). "Grinding Energy Modeling Based on Friction, Plowing, and Shearing." ASME. J. Manuf. Sci. Eng. December 2017; 139(12): 121009. https://doi.org/10.1115/1.4037239
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