Aslan, Deniz and Budak, Erhan (2014) Semi-analytical force model for grinding operations. In: 6th CIRP International Conference on High Performance Cutting (HPC2014), Berkeley
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Official URL: http://dx.doi.org/10.1016/j.procir.2014.03.073
Abstract
Grinding process is generally used to improve the tolerance integrity and surface quality of a workpiece. However, in case of some hard-to-machine materials grinding can also be a cost effective alternative even for roughing operations. It is crucial to know process forces since they are necessary to identify the conditions for surface burn which is one of the most important issues in grinding applications. In this paper, a new semi-analytical force model for grinding process is developed by modeling abrasive grits and their interaction with the workpiece individually. Grits are examined to determine their geometrical properties and distribution on the grinding wheel. Semi-analytical equations for total normal and tangential force components as well as average force per grit are established by using the micro milling analogy. Fundamental parameters such as shear stress and friction coefficient between the grits and the work material are identified. The model can then be used in prediction of the forces for different cases involving the same material and the abrasive grain however with different conditions. The model predictions are verified by several experiments and also using Johnson-Cook material model.
Item Type: | Papers in Conference Proceedings |
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Uncontrolled Keywords: | Grinding; Force Model; Grain Measurement; Johnson-Cook Material Model; Experimental Validation |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering Faculty of Engineering and Natural Sciences Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng. |
Depositing User: | Erhan Budak |
Date Deposited: | 15 Dec 2014 15:08 |
Last Modified: | 26 Apr 2022 09:17 |
URI: | https://research.sabanciuniv.edu/id/eprint/25672 |