Optimisation of a tram wheel profile using a biologically inspired algorithm
The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Firlik, Bartosz [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
13 |
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| Übergeordnetes Werk: |
Enthalten in: Patterned mesoporous TiO - Nam, Le Vu ELSEVIER, 2021, an international journal on the science and technology of friction, lubrication and wear, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:430 ; year:2019 ; day:15 ; month:07 ; pages:12-24 ; extent:13 |
| Links: |
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| DOI / URN: |
10.1016/j.wear.2019.04.012 |
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ELV047093773 |
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| 520 | |a The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. | ||
| 520 | |a The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. | ||
| 650 | 7 | |a Light rail vehicle |2 Elsevier | |
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| 650 | 7 | |a Shape optimisation |2 Elsevier | |
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| 650 | 7 | |a Wheel-rail contact |2 Elsevier | |
| 700 | 1 | |a Staśkiewicz, Tomasz |4 oth | |
| 700 | 1 | |a Jaśkowski, Wojciech |4 oth | |
| 700 | 1 | |a Wittenbeck, Leszek |4 oth | |
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10.1016/j.wear.2019.04.012 doi GBV00000000000692.pica (DE-627)ELV047093773 (ELSEVIER)S0043-1648(18)31295-X DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Firlik, Bartosz verfasserin aut Optimisation of a tram wheel profile using a biologically inspired algorithm 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. Light rail vehicle Elsevier Genetic algorithm Elsevier Shape optimisation Elsevier Wheel profile Elsevier Wheel-rail contact Elsevier Staśkiewicz, Tomasz oth Jaśkowski, Wojciech oth Wittenbeck, Leszek oth Enthalten in Elsevier Science Nam, Le Vu ELSEVIER Patterned mesoporous TiO 2021 an international journal on the science and technology of friction, lubrication and wear Amsterdam [u.a.] (DE-627)ELV006723276 volume:430 year:2019 day:15 month:07 pages:12-24 extent:13 https://doi.org/10.1016/j.wear.2019.04.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 430 2019 15 0715 12-24 13 |
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10.1016/j.wear.2019.04.012 doi GBV00000000000692.pica (DE-627)ELV047093773 (ELSEVIER)S0043-1648(18)31295-X DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Firlik, Bartosz verfasserin aut Optimisation of a tram wheel profile using a biologically inspired algorithm 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. Light rail vehicle Elsevier Genetic algorithm Elsevier Shape optimisation Elsevier Wheel profile Elsevier Wheel-rail contact Elsevier Staśkiewicz, Tomasz oth Jaśkowski, Wojciech oth Wittenbeck, Leszek oth Enthalten in Elsevier Science Nam, Le Vu ELSEVIER Patterned mesoporous TiO 2021 an international journal on the science and technology of friction, lubrication and wear Amsterdam [u.a.] (DE-627)ELV006723276 volume:430 year:2019 day:15 month:07 pages:12-24 extent:13 https://doi.org/10.1016/j.wear.2019.04.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 430 2019 15 0715 12-24 13 |
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10.1016/j.wear.2019.04.012 doi GBV00000000000692.pica (DE-627)ELV047093773 (ELSEVIER)S0043-1648(18)31295-X DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Firlik, Bartosz verfasserin aut Optimisation of a tram wheel profile using a biologically inspired algorithm 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. Light rail vehicle Elsevier Genetic algorithm Elsevier Shape optimisation Elsevier Wheel profile Elsevier Wheel-rail contact Elsevier Staśkiewicz, Tomasz oth Jaśkowski, Wojciech oth Wittenbeck, Leszek oth Enthalten in Elsevier Science Nam, Le Vu ELSEVIER Patterned mesoporous TiO 2021 an international journal on the science and technology of friction, lubrication and wear Amsterdam [u.a.] (DE-627)ELV006723276 volume:430 year:2019 day:15 month:07 pages:12-24 extent:13 https://doi.org/10.1016/j.wear.2019.04.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 430 2019 15 0715 12-24 13 |
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10.1016/j.wear.2019.04.012 doi GBV00000000000692.pica (DE-627)ELV047093773 (ELSEVIER)S0043-1648(18)31295-X DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Firlik, Bartosz verfasserin aut Optimisation of a tram wheel profile using a biologically inspired algorithm 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. Light rail vehicle Elsevier Genetic algorithm Elsevier Shape optimisation Elsevier Wheel profile Elsevier Wheel-rail contact Elsevier Staśkiewicz, Tomasz oth Jaśkowski, Wojciech oth Wittenbeck, Leszek oth Enthalten in Elsevier Science Nam, Le Vu ELSEVIER Patterned mesoporous TiO 2021 an international journal on the science and technology of friction, lubrication and wear Amsterdam [u.a.] (DE-627)ELV006723276 volume:430 year:2019 day:15 month:07 pages:12-24 extent:13 https://doi.org/10.1016/j.wear.2019.04.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 430 2019 15 0715 12-24 13 |
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10.1016/j.wear.2019.04.012 doi GBV00000000000692.pica (DE-627)ELV047093773 (ELSEVIER)S0043-1648(18)31295-X DE-627 ger DE-627 rakwb eng 530 620 VZ 52.56 bkl Firlik, Bartosz verfasserin aut Optimisation of a tram wheel profile using a biologically inspired algorithm 2019transfer abstract 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. Light rail vehicle Elsevier Genetic algorithm Elsevier Shape optimisation Elsevier Wheel profile Elsevier Wheel-rail contact Elsevier Staśkiewicz, Tomasz oth Jaśkowski, Wojciech oth Wittenbeck, Leszek oth Enthalten in Elsevier Science Nam, Le Vu ELSEVIER Patterned mesoporous TiO 2021 an international journal on the science and technology of friction, lubrication and wear Amsterdam [u.a.] (DE-627)ELV006723276 volume:430 year:2019 day:15 month:07 pages:12-24 extent:13 https://doi.org/10.1016/j.wear.2019.04.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.56 Regenerative Energieformen alternative Energieformen VZ AR 430 2019 15 0715 12-24 13 |
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Patterned mesoporous TiO |
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Optimisation of a tram wheel profile using a biologically inspired algorithm |
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Optimisation of a tram wheel profile using a biologically inspired algorithm |
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Firlik, Bartosz |
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Patterned mesoporous TiO |
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Firlik, Bartosz |
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10.1016/j.wear.2019.04.012 |
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optimisation of a tram wheel profile using a biologically inspired algorithm |
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Optimisation of a tram wheel profile using a biologically inspired algorithm |
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The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. |
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The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. |
| abstract_unstemmed |
The friction pair formed by wheel and rail is subject to adhesive wear, which leads to a waste of time and money. The wear is inevitable but can be slowed down with the proper design of the wheel profile. This paper formalises the problem of automatic wheel profile design as a constrained optimisation and presents an efficient method of solving it using a state-of-the-art biologically-inspired black-box optimisation algorithm. The algorithm is multi-objective, in that it optimises not only the wheel and rail wear but also ride safety. The optimisation was performed for rail conditions in the city of Poznań, Poland. The performed simulations show that profiles obtained that way significantly outperform the ones currently used in Poznań in terms of wear index and derailment coefficient, which makes the new solution worth verifying experimentally and possibly putting into operation. |
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Optimisation of a tram wheel profile using a biologically inspired algorithm |
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https://doi.org/10.1016/j.wear.2019.04.012 |
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Staśkiewicz, Tomasz Jaśkowski, Wojciech Wittenbeck, Leszek |
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