Neural network prediction of brake friction materials wear
Само за регистроване кориснике
2010
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Wear of brake friction materials depends on many factors such as temperature, applied load, sliding velocity, properties of mating materials, and durability of the transfer layer. Prediction of friction materials wear versus their formulation and manufacturing conditions in synergy with brakes operating conditions can be considered as a crucial issue for further friction materials development. In this paper, the artificial neural network abilities have been used for predicting wear of the friction materials versus influence of all relevant factors. The neural model of friction materials wear has been developed taking into account: (i) complete formulation of the friction material (18 ingredients), (ii) the most important manufacturing conditions of the friction material (5 parameters), (iii) applied load and sliding velocity of the friction material both represented by work done by brake application, and (iv) brake interface temperature.
Кључне речи:
Wear modelling / Friction material / Artificial neural networksИзвор:
Wear, 2010, 268, 1-2, 117-125Издавач:
- Elsevier Science Sa, Lausanne
DOI: 10.1016/j.wear.2009.07.006
ISSN: 0043-1648
WoS: 000272919500014
Scopus: 2-s2.0-71949087973
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Aleksendrić, Dragan PY - 2010 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1126 AB - Wear of brake friction materials depends on many factors such as temperature, applied load, sliding velocity, properties of mating materials, and durability of the transfer layer. Prediction of friction materials wear versus their formulation and manufacturing conditions in synergy with brakes operating conditions can be considered as a crucial issue for further friction materials development. In this paper, the artificial neural network abilities have been used for predicting wear of the friction materials versus influence of all relevant factors. The neural model of friction materials wear has been developed taking into account: (i) complete formulation of the friction material (18 ingredients), (ii) the most important manufacturing conditions of the friction material (5 parameters), (iii) applied load and sliding velocity of the friction material both represented by work done by brake application, and (iv) brake interface temperature. PB - Elsevier Science Sa, Lausanne T2 - Wear T1 - Neural network prediction of brake friction materials wear EP - 125 IS - 1-2 SP - 117 VL - 268 DO - 10.1016/j.wear.2009.07.006 ER -
@article{ author = "Aleksendrić, Dragan", year = "2010", abstract = "Wear of brake friction materials depends on many factors such as temperature, applied load, sliding velocity, properties of mating materials, and durability of the transfer layer. Prediction of friction materials wear versus their formulation and manufacturing conditions in synergy with brakes operating conditions can be considered as a crucial issue for further friction materials development. In this paper, the artificial neural network abilities have been used for predicting wear of the friction materials versus influence of all relevant factors. The neural model of friction materials wear has been developed taking into account: (i) complete formulation of the friction material (18 ingredients), (ii) the most important manufacturing conditions of the friction material (5 parameters), (iii) applied load and sliding velocity of the friction material both represented by work done by brake application, and (iv) brake interface temperature.", publisher = "Elsevier Science Sa, Lausanne", journal = "Wear", title = "Neural network prediction of brake friction materials wear", pages = "125-117", number = "1-2", volume = "268", doi = "10.1016/j.wear.2009.07.006" }
Aleksendrić, D.. (2010). Neural network prediction of brake friction materials wear. in Wear Elsevier Science Sa, Lausanne., 268(1-2), 117-125. https://doi.org/10.1016/j.wear.2009.07.006
Aleksendrić D. Neural network prediction of brake friction materials wear. in Wear. 2010;268(1-2):117-125. doi:10.1016/j.wear.2009.07.006 .
Aleksendrić, Dragan, "Neural network prediction of brake friction materials wear" in Wear, 268, no. 1-2 (2010):117-125, https://doi.org/10.1016/j.wear.2009.07.006 . .