ALEKSANDROVA, Irina ;STOYNOVA, Anna ;ALEKSANDROV, Anatoliy . Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 67, n.12, p. 635-648, december 2021. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2021.7327.
Aleksandrova, I., Stoynova, A., & Aleksandrov, A. (2021). Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels. Strojniški vestnik - Journal of Mechanical Engineering, 67(12), 635-648. doi:http://dx.doi.org/10.5545/sv-jme.2021.7327
@article{sv-jmesv-jme.2021.7327,
author = {Irina Aleksandrova and Anna Stoynova and Anatoliy Aleksandrov},
title = {Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {67},
number = {12},
year = {2021},
keywords = {elastic abrasive cutting; multi-objective optimization; generalized utility function; С45 and 42Cr4 steels},
abstract = {Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process.},
issn = {0039-2480}, pages = {635-648}, doi = {10.5545/sv-jme.2021.7327},
url = {https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/}
}
Aleksandrova, I.,Stoynova, A.,Aleksandrov, A. 2021 December 67. Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 67:12
%A Aleksandrova, Irina %A Stoynova, Anna %A Aleksandrov, Anatoliy %D 2021 %T Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels %B 2021 %9 elastic abrasive cutting; multi-objective optimization; generalized utility function; С45 and 42Cr4 steels %! Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels %K elastic abrasive cutting; multi-objective optimization; generalized utility function; С45 and 42Cr4 steels %X Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process. %U https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/ %0 Journal Article %R 10.5545/sv-jme.2021.7327 %& 635 %P 14 %J Strojniški vestnik - Journal of Mechanical Engineering %V 67 %N 12 %@ 0039-2480 %8 2021-12-21 %7 2021-12-21
Aleksandrova, Irina, Anna Stoynova, & Anatoliy Aleksandrov. "Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels." Strojniški vestnik - Journal of Mechanical Engineering [Online], 67.12 (2021): 635-648. Web. 20 Dec. 2024
TY - JOUR AU - Aleksandrova, Irina AU - Stoynova, Anna AU - Aleksandrov, Anatoliy PY - 2021 TI - Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2021.7327 KW - elastic abrasive cutting; multi-objective optimization; generalized utility function; С45 and 42Cr4 steels N2 - Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process. UR - https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/
@article{{sv-jme}{sv-jme.2021.7327},
author = {Aleksandrova, I., Stoynova, A., Aleksandrov, A.},
title = {Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {67},
number = {12},
year = {2021},
doi = {10.5545/sv-jme.2021.7327},
url = {https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/}
}
TY - JOUR AU - Aleksandrova, Irina AU - Stoynova, Anna AU - Aleksandrov, Anatoliy PY - 2021/12/21 TI - Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 67, No 12 (2021): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2021.7327 KW - elastic abrasive cutting, multi-objective optimization, generalized utility function, С45 and 42Cr4 steels N2 - Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process. UR - https://www.sv-jme.eu/sl/article/modelling-and-multi-objective-optimization-of-elastic-abrasive-cutting/
Aleksandrova, Irina, Stoynova, Anna, AND Aleksandrov, Anatoliy. "Modelling and Multi-objective Optimization of Elastic Abrasive Cutting of C45 and 42Cr4 Steels" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 67 Number 12 (21 December 2021)
Strojniški vestnik - Journal of Mechanical Engineering 67(2021)12, 635-648
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
Elastic abrasive cutting is a new high-performance method to produce workpieces made of materials of different hardness, which ensures lower wear of cut-off wheels and higher quality machined surfaces. However, the literature referring to elastic abrasive cutting is scarce; additional studies are thus needed. This paper proposes a new approach for modelling and optimizing the elastic abrasive cutting process, reflecting the specifics of its particular implementation. A generalized utility function has been chosen as an optimization parameter. It appears as a complex indicator characterizing the response variables of the elastic abrasive cutting process. The proposed approach has been applied to determine the optimum conditions of elastic abrasive cutting of С45 and 42Cr4 steels. To solve the optimization problem, a model of the generalized utility function reflecting the complex influence of the elastic abrasive cutting conditions has been developed. It is based on the findings of the complex study and modelling of the response variables of the elastic abrasive cutting process (cut-off wheel wear, time per cut, cut piece temperature, cut off wheel temperature and workpiece temperature) depending on the conditions of its implementation (compression force F exerted by the cut-off wheel on the workpiece, workpiece rotational frequency nw, cut off wheel diameter ds). By applying a genetic algorithm, the optimal conditions of elastic abrasive cutting of С45 and 42Cr4 steels: ds = 120 mm; F = 1 daN; nw = 63.7 min–1 and nw = 49.9 min–1, respectively for С45 and 42Cr4 steels, have been determined. They provide the best match between the response variables of the elastic abrasive cutting process.