Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding

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ALEKSANDROVA, Irina Stefanova.
Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 65, n.2, p. 87-102, february 2019. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/>. Date accessed: 24 aug. 2019. 
doi:http://dx.doi.org/10.5545/sv-jme.2018.5677.
Aleksandrova, I.
(2019).
Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding.
Strojniški vestnik - Journal of Mechanical Engineering, 65(2), 87-102.
doi:http://dx.doi.org/10.5545/sv-jme.2018.5677
@article{sv-jmesv-jme.2018.5677,
	author = {Irina Stefanova Aleksandrova},
	title = {Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {65},
	number = {2},
	year = {2019},
	keywords = {fine cylindrical grinding; dressing parameters; diamond roller dressers; multi-objective optimization},
	abstract = {The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper, an attempt has been made to optimize the dressing process parameters in fine cylindrical grinding. To define the optimum values of the dressing process variables (radial feed rate of diamond roller dresser frd , dressing speed ratio qd , dress-out time td , diamond roller dresser grit size/grinding wheel grit size ratio qg , type of synthetic diamonds and direction of dressing), a multi-objective optimization has been performed based on a genetic algorithm. In the capacity of the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of the dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size at which the generalized utility function has a maximum have been determined; 3) a Pareto optimum solution has been found (frd = 0.2 mm/min; qd = 0.8; td = 4.65 s; qg = 2.56), which guarantees the best combination between the roughness and the deviation from cylindricity of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation.},
	issn = {0039-2480},	pages = {87-102},	doi = {10.5545/sv-jme.2018.5677},
	url = {https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/}
}
Aleksandrova, I.
2019 February 65. Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 65:2
%A Aleksandrova, Irina Stefanova
%D 2019
%T Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding
%B 2019
%9 fine cylindrical grinding; dressing parameters; diamond roller dressers; multi-objective optimization
%! Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding
%K fine cylindrical grinding; dressing parameters; diamond roller dressers; multi-objective optimization
%X The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper, an attempt has been made to optimize the dressing process parameters in fine cylindrical grinding. To define the optimum values of the dressing process variables (radial feed rate of diamond roller dresser frd , dressing speed ratio qd , dress-out time td , diamond roller dresser grit size/grinding wheel grit size ratio qg , type of synthetic diamonds and direction of dressing), a multi-objective optimization has been performed based on a genetic algorithm. In the capacity of the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of the dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size at which the generalized utility function has a maximum have been determined; 3) a Pareto optimum solution has been found (frd = 0.2 mm/min; qd = 0.8; td = 4.65 s; qg = 2.56), which guarantees the best combination between the roughness and the deviation from cylindricity of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation.
%U https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/
%0 Journal Article
%R 10.5545/sv-jme.2018.5677
%& 87
%P 16
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 65
%N 2
%@ 0039-2480
%8 2019-02-17
%7 2019-02-17
Aleksandrova, Irina.
"Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding." Strojniški vestnik - Journal of Mechanical Engineering [Online], 65.2 (2019): 87-102. Web.  24 Aug. 2019
TY  - JOUR
AU  - Aleksandrova, Irina Stefanova
PY  - 2019
TI  - Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2018.5677
KW  - fine cylindrical grinding; dressing parameters; diamond roller dressers; multi-objective optimization
N2  - The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper, an attempt has been made to optimize the dressing process parameters in fine cylindrical grinding. To define the optimum values of the dressing process variables (radial feed rate of diamond roller dresser frd , dressing speed ratio qd , dress-out time td , diamond roller dresser grit size/grinding wheel grit size ratio qg , type of synthetic diamonds and direction of dressing), a multi-objective optimization has been performed based on a genetic algorithm. In the capacity of the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of the dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size at which the generalized utility function has a maximum have been determined; 3) a Pareto optimum solution has been found (frd = 0.2 mm/min; qd = 0.8; td = 4.65 s; qg = 2.56), which guarantees the best combination between the roughness and the deviation from cylindricity of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation.
UR  - https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/
@article{{sv-jme}{sv-jme.2018.5677},
	author = {Aleksandrova, I.},
	title = {Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {65},
	number = {2},
	year = {2019},
	doi = {10.5545/sv-jme.2018.5677},
	url = {https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/}
}
TY  - JOUR
AU  - Aleksandrova, Irina Stefanova
PY  - 2019/02/17
TI  - Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 65, No 2 (2019): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2018.5677
KW  - fine cylindrical grinding, dressing parameters, diamond roller dressers, multi-objective optimization
N2  - The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper, an attempt has been made to optimize the dressing process parameters in fine cylindrical grinding. To define the optimum values of the dressing process variables (radial feed rate of diamond roller dresser frd , dressing speed ratio qd , dress-out time td , diamond roller dresser grit size/grinding wheel grit size ratio qg , type of synthetic diamonds and direction of dressing), a multi-objective optimization has been performed based on a genetic algorithm. In the capacity of the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of the dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size at which the generalized utility function has a maximum have been determined; 3) a Pareto optimum solution has been found (frd = 0.2 mm/min; qd = 0.8; td = 4.65 s; qg = 2.56), which guarantees the best combination between the roughness and the deviation from cylindricity of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation.
UR  - https://www.sv-jme.eu/article/multi-objective-optimization-of-the-dressing-parameters-in-fine-cylindrical-grinding/
Aleksandrova, Irina"Multi-Objective Optimization of the Dressing Parameters in Fine Cylindrical Grinding" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 65 Number 2 (17 February 2019)

Authors

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  • Technical University of Gabrov

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 65(2019)2, 87-102

10.5545/sv-jme.2018.5677

The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of dressing and grinding. In this paper, an attempt has been made to optimize the dressing process parameters in fine cylindrical grinding. To define the optimum values of the dressing process variables (radial feed rate of diamond roller dresser frd , dressing speed ratio qd , dress-out time td , diamond roller dresser grit size/grinding wheel grit size ratio qg , type of synthetic diamonds and direction of dressing), a multi-objective optimization has been performed based on a genetic algorithm. In the capacity of the optimization parameter, a generalized geometric-mean utility function has been chosen, which appears to be a complex indicator characterizing the roughness and accuracy of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation. The optimization problem has been solved in the following sequence: 1) a model of the generalized utility function has been created reflecting the complex effect of the dressing system parameters; 2) the optimum conditions of uni-directional and counter-directional dressing of aluminium oxide grinding wheels by experimental diamond roller dressers of synthetic diamonds of АС32 and АС80 types and different grit size at which the generalized utility function has a maximum have been determined; 3) a Pareto optimum solution has been found (frd = 0.2 mm/min; qd = 0.8; td = 4.65 s; qg = 2.56), which guarantees the best combination between the roughness and the deviation from cylindricity of the ground surface, the grinding wheel lifetime and the manufacturing net costs of the grinding operation.

fine cylindrical grinding; dressing parameters; diamond roller dressers; multi-objective optimization