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: 20 dec. 2024. 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. 20 Dec. 2024
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)
Strojniški vestnik - Journal of Mechanical Engineering 61(2015)3, 167-175
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
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.