A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting

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ŽUPERL, Uroš ;ČUŠ, Franci .
A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 50, n.5, p. 252-266, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/a-determination-of-the-characteristic-technological-and-economic-parameters-during-metal-cutting/>. Date accessed: 21 sep. 2019. 
doi:http://dx.doi.org/.
Župerl, U., & Čuš, F.
(2004).
A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting.
Strojniški vestnik - Journal of Mechanical Engineering, 50(5), 252-266.
doi:http://dx.doi.org/
@article{.,
	author = {Uroš  Župerl and Franci  Čuš},
	title = {A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {50},
	number = {5},
	year = {2004},
	keywords = {machining; cutting parameters; turining; nondeterministic optimization; },
	abstract = {A new non-deterministic optimization approach to the complex optimization of cutting parameters during machining is proposed. It uses artificial neural networks to solve the cutting-conditions optimization problem. The developed approach is based on the maximum production rate criterion and incorporates four technological constraints. By selecting the optimum cutting conditions it is possible to reach a favourable ratio between low machining costs and high productivity, taking into account the given limitation of the cutting process. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers’ preference structures. The experimental results show that the proposed algorithm for solving the non-linearconstrained optimization problems is efficient and can be integrated into intelligent manufacturing systems. To demonstrate the performance of the proposed approach, an illustrative example is discussed in detail.},
	issn = {0039-2480},	pages = {252-266},	doi = {},
	url = {https://www.sv-jme.eu/article/a-determination-of-the-characteristic-technological-and-economic-parameters-during-metal-cutting/}
}
Župerl, U.,Čuš, F.
2004 July 50. A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 50:5
%A Župerl, Uroš 
%A Čuš, Franci 
%D 2004
%T A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting
%B 2004
%9 machining; cutting parameters; turining; nondeterministic optimization; 
%! A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting
%K machining; cutting parameters; turining; nondeterministic optimization; 
%X A new non-deterministic optimization approach to the complex optimization of cutting parameters during machining is proposed. It uses artificial neural networks to solve the cutting-conditions optimization problem. The developed approach is based on the maximum production rate criterion and incorporates four technological constraints. By selecting the optimum cutting conditions it is possible to reach a favourable ratio between low machining costs and high productivity, taking into account the given limitation of the cutting process. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers’ preference structures. The experimental results show that the proposed algorithm for solving the non-linearconstrained optimization problems is efficient and can be integrated into intelligent manufacturing systems. To demonstrate the performance of the proposed approach, an illustrative example is discussed in detail.
%U https://www.sv-jme.eu/article/a-determination-of-the-characteristic-technological-and-economic-parameters-during-metal-cutting/
%0 Journal Article
%R 
%& 252
%P 15
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 50
%N 5
%@ 0039-2480
%8 2017-07-07
%7 2017-07-07
Župerl, Uroš, & Franci  Čuš.
"A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting." Strojniški vestnik - Journal of Mechanical Engineering [Online], 50.5 (2004): 252-266. Web.  21 Sep. 2019
TY  - JOUR
AU  - Župerl, Uroš 
AU  - Čuš, Franci 
PY  - 2004
TI  - A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - machining; cutting parameters; turining; nondeterministic optimization; 
N2  - A new non-deterministic optimization approach to the complex optimization of cutting parameters during machining is proposed. It uses artificial neural networks to solve the cutting-conditions optimization problem. The developed approach is based on the maximum production rate criterion and incorporates four technological constraints. By selecting the optimum cutting conditions it is possible to reach a favourable ratio between low machining costs and high productivity, taking into account the given limitation of the cutting process. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers’ preference structures. The experimental results show that the proposed algorithm for solving the non-linearconstrained optimization problems is efficient and can be integrated into intelligent manufacturing systems. To demonstrate the performance of the proposed approach, an illustrative example is discussed in detail.
UR  - https://www.sv-jme.eu/article/a-determination-of-the-characteristic-technological-and-economic-parameters-during-metal-cutting/
@article{{}{.},
	author = {Župerl, U., Čuš, F.},
	title = {A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {50},
	number = {5},
	year = {2004},
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TY  - JOUR
AU  - Župerl, Uroš 
AU  - Čuš, Franci 
PY  - 2017/07/07
TI  - A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 50, No 5 (2004): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - machining, cutting parameters, turining, nondeterministic optimization, 
N2  - A new non-deterministic optimization approach to the complex optimization of cutting parameters during machining is proposed. It uses artificial neural networks to solve the cutting-conditions optimization problem. The developed approach is based on the maximum production rate criterion and incorporates four technological constraints. By selecting the optimum cutting conditions it is possible to reach a favourable ratio between low machining costs and high productivity, taking into account the given limitation of the cutting process. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers’ preference structures. The experimental results show that the proposed algorithm for solving the non-linearconstrained optimization problems is efficient and can be integrated into intelligent manufacturing systems. To demonstrate the performance of the proposed approach, an illustrative example is discussed in detail.
UR  - https://www.sv-jme.eu/article/a-determination-of-the-characteristic-technological-and-economic-parameters-during-metal-cutting/
Župerl, Uroš, AND Čuš, Franci.
"A Determination of the Characteristic Technological and Economic Parameters during Metal Cutting" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 50 Number 5 (07 July 2017)

Authors

Affiliations

  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia
  • University of Maribor, Faculty of Mechanical Engineering, Slovenia

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 50(2004)5, 252-266

A new non-deterministic optimization approach to the complex optimization of cutting parameters during machining is proposed. It uses artificial neural networks to solve the cutting-conditions optimization problem. The developed approach is based on the maximum production rate criterion and incorporates four technological constraints. By selecting the optimum cutting conditions it is possible to reach a favourable ratio between low machining costs and high productivity, taking into account the given limitation of the cutting process. First, the problem of determining the optimum machining parameters is formulated as a multiple-objective optimization problem. Then, neural networks are proposed to represent manufacturers’ preference structures. The experimental results show that the proposed algorithm for solving the non-linearconstrained optimization problems is efficient and can be integrated into intelligent manufacturing systems. To demonstrate the performance of the proposed approach, an illustrative example is discussed in detail.

machining; cutting parameters; turining; nondeterministic optimization;