Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes

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KAPOR, Nenad ;MILINOVIC, Momcilo ;JEREMIC, Olivera ;PETROVIC, Dalibor .
Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 61, n.3, p. 167-175, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/>. Date accessed: 05 dec. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2014.2294.
Kapor, N., Milinovic, M., Jeremic, O., & Petrovic, D.
(2015).
Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes.
Strojniški vestnik - Journal of Mechanical Engineering, 61(3), 167-175.
doi:http://dx.doi.org/10.5545/sv-jme.2014.2294
@article{sv-jmesv-jme.2014.2294,
	author = {Nenad  Kapor and Momcilo  Milinovic and Olivera  Jeremic and Dalibor  Petrovic},
	title = {Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {61},
	number = {3},
	year = {2015},
	keywords = {cycles, operations, extreme machine platforms, probabilities, deterministic modeling},
	abstract = {This paper considers the modelling of extreme-capability working platforms that are operated in periodic cycles, each cycle having a predefined number of operations that affect the working surfaces. A novel hypothesis is introduced about the platform-degrading effects that cause an equivalent decrease in the successful operations after repeated cycles. Deterministic modelling, based on the basic equations of Lanchester and Dinner, is generalized here to include coupling between parameters. The newly developed mathematical model of performance degradation is in good agreement with both experimental measurements and numerical simulations. It is assumed that the new variables and their correlations link the Gaussian distribution and the observed performances of the testing platforms. Relative probability dispersions of affected surfaces are derived, as a new indirect referencing figure of merit, to describe simulations and compare them to experimental test data. The model proves a hypothesis that the degrading effects are a function of the platform capacity, frequency of operations and the number of available cycles. Degradation effects are taken into account through an equivalent decrease of effective operation capacities, reflected on the properties of the affected operating surfaces. The obtained estimations of degradation could be used in the planning of platform capacity as well as in the selection of real affected surfaces in various machining systems and for a wide range of different materials.},
	issn = {0039-2480},	pages = {167-175},	doi = {10.5545/sv-jme.2014.2294},
	url = {https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/}
}
Kapor, N.,Milinovic, M.,Jeremic, O.,Petrovic, D.
2015 June 61. Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 61:3
%A Kapor, Nenad 
%A Milinovic, Momcilo 
%A Jeremic, Olivera 
%A Petrovic, Dalibor 
%D 2015
%T Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes
%B 2015
%9 cycles, operations, extreme machine platforms, probabilities, deterministic modeling
%! Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes
%K cycles, operations, extreme machine platforms, probabilities, deterministic modeling
%X This paper considers the modelling of extreme-capability working platforms that are operated in periodic cycles, each cycle having a predefined number of operations that affect the working surfaces. A novel hypothesis is introduced about the platform-degrading effects that cause an equivalent decrease in the successful operations after repeated cycles. Deterministic modelling, based on the basic equations of Lanchester and Dinner, is generalized here to include coupling between parameters. The newly developed mathematical model of performance degradation is in good agreement with both experimental measurements and numerical simulations. It is assumed that the new variables and their correlations link the Gaussian distribution and the observed performances of the testing platforms. Relative probability dispersions of affected surfaces are derived, as a new indirect referencing figure of merit, to describe simulations and compare them to experimental test data. The model proves a hypothesis that the degrading effects are a function of the platform capacity, frequency of operations and the number of available cycles. Degradation effects are taken into account through an equivalent decrease of effective operation capacities, reflected on the properties of the affected operating surfaces. The obtained estimations of degradation could be used in the planning of platform capacity as well as in the selection of real affected surfaces in various machining systems and for a wide range of different materials.
%U https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/
%0 Journal Article
%R 10.5545/sv-jme.2014.2294
%& 167
%P 9
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 61
%N 3
%@ 0039-2480
%8 2018-06-27
%7 2018-06-27
Kapor, Nenad, Momcilo  Milinovic, Olivera  Jeremic, & Dalibor  Petrovic.
"Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes." Strojniški vestnik - Journal of Mechanical Engineering [Online], 61.3 (2015): 167-175. Web.  05 Dec. 2021
TY  - JOUR
AU  - Kapor, Nenad 
AU  - Milinovic, Momcilo 
AU  - Jeremic, Olivera 
AU  - Petrovic, Dalibor 
PY  - 2015
TI  - Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.2294
KW  - cycles, operations, extreme machine platforms, probabilities, deterministic modeling
N2  - This paper considers the modelling of extreme-capability working platforms that are operated in periodic cycles, each cycle having a predefined number of operations that affect the working surfaces. A novel hypothesis is introduced about the platform-degrading effects that cause an equivalent decrease in the successful operations after repeated cycles. Deterministic modelling, based on the basic equations of Lanchester and Dinner, is generalized here to include coupling between parameters. The newly developed mathematical model of performance degradation is in good agreement with both experimental measurements and numerical simulations. It is assumed that the new variables and their correlations link the Gaussian distribution and the observed performances of the testing platforms. Relative probability dispersions of affected surfaces are derived, as a new indirect referencing figure of merit, to describe simulations and compare them to experimental test data. The model proves a hypothesis that the degrading effects are a function of the platform capacity, frequency of operations and the number of available cycles. Degradation effects are taken into account through an equivalent decrease of effective operation capacities, reflected on the properties of the affected operating surfaces. The obtained estimations of degradation could be used in the planning of platform capacity as well as in the selection of real affected surfaces in various machining systems and for a wide range of different materials.
UR  - https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/
@article{{sv-jme}{sv-jme.2014.2294},
	author = {Kapor, N., Milinovic, M., Jeremic, O., Petrovic, D.},
	title = {Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {61},
	number = {3},
	year = {2015},
	doi = {10.5545/sv-jme.2014.2294},
	url = {https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/}
}
TY  - JOUR
AU  - Kapor, Nenad 
AU  - Milinovic, Momcilo 
AU  - Jeremic, Olivera 
AU  - Petrovic, Dalibor 
PY  - 2018/06/27
TI  - Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 61, No 3 (2015): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2014.2294
KW  - cycles, operations, extreme machine platforms, probabilities, deterministic modeling
N2  - This paper considers the modelling of extreme-capability working platforms that are operated in periodic cycles, each cycle having a predefined number of operations that affect the working surfaces. A novel hypothesis is introduced about the platform-degrading effects that cause an equivalent decrease in the successful operations after repeated cycles. Deterministic modelling, based on the basic equations of Lanchester and Dinner, is generalized here to include coupling between parameters. The newly developed mathematical model of performance degradation is in good agreement with both experimental measurements and numerical simulations. It is assumed that the new variables and their correlations link the Gaussian distribution and the observed performances of the testing platforms. Relative probability dispersions of affected surfaces are derived, as a new indirect referencing figure of merit, to describe simulations and compare them to experimental test data. The model proves a hypothesis that the degrading effects are a function of the platform capacity, frequency of operations and the number of available cycles. Degradation effects are taken into account through an equivalent decrease of effective operation capacities, reflected on the properties of the affected operating surfaces. The obtained estimations of degradation could be used in the planning of platform capacity as well as in the selection of real affected surfaces in various machining systems and for a wide range of different materials.
UR  - https://www.sv-jme.eu/article/deterministic-mathematical-modelling-of-platform-performance-degradation-in-cyclic-operation-regimes/
Kapor, Nenad, Milinovic, Momcilo, Jeremic, Olivera, AND Petrovic, Dalibor.
"Deterministic Mathematical Modelling of Platform Performance Degradation in Cyclic Operation Regimes" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 61 Number 3 (27 June 2018)

Authors

Affiliations

  • University of Belgrade, Faculty of Mechanical Engineering, Serbia 1
  • University of Defense, Military Academy, Serbia 2

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 61(2015)3, 167-175

https://doi.org/10.5545/sv-jme.2014.2294

This paper considers the modelling of extreme-capability working platforms that are operated in periodic cycles, each cycle having a predefined number of operations that affect the working surfaces. A novel hypothesis is introduced about the platform-degrading effects that cause an equivalent decrease in the successful operations after repeated cycles. Deterministic modelling, based on the basic equations of Lanchester and Dinner, is generalized here to include coupling between parameters. The newly developed mathematical model of performance degradation is in good agreement with both experimental measurements and numerical simulations. It is assumed that the new variables and their correlations link the Gaussian distribution and the observed performances of the testing platforms. Relative probability dispersions of affected surfaces are derived, as a new indirect referencing figure of merit, to describe simulations and compare them to experimental test data. The model proves a hypothesis that the degrading effects are a function of the platform capacity, frequency of operations and the number of available cycles. Degradation effects are taken into account through an equivalent decrease of effective operation capacities, reflected on the properties of the affected operating surfaces. The obtained estimations of degradation could be used in the planning of platform capacity as well as in the selection of real affected surfaces in various machining systems and for a wide range of different materials.

cycles, operations, extreme machine platforms, probabilities, deterministic modeling