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    Heat Transfer Improvement in Automotive Brake Disks Via Shape Optimization of Cooling Vanes Using Improved TPSO Algorithm Coupled With Artificial Neural Network

    Source: Journal of Thermal Science and Engineering Applications:;2018:;volume( 010 ):;issue: 001::page 11013
    Author:
    Karbalaei Mehdi, Javid
    ,
    Nejat, Amir
    ,
    Shariat Panahi, Masoud
    DOI: 10.1115/1.4036966
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: One important safety issue in automotive industry is the efficient cooling of brake system. This research work aims to introduce an optimized cooling vane geometry to enhance heat removal performance of ventilated brake disks. The novel idea of using airfoil vanes is followed as the basis of this investigation (Nejat et al., 2011, “Heat Transfer Enhancement in Ventilated Brake Disk Using Double Airfoil Vanes,” ASME J. Therm. Sci. Eng. Appl., 3(4), p. 045001). In order to perform the optimization technique efficiently, an integrated shape optimization process is designed. According to the aerodynamic and heat transfer considerations, first an appropriate airfoil is selected as the base profile to be optimized. For the shape modification purpose, a curve parameterization method named class shape transformation (CST) is utilized. The control parameters defined in CST method are then established as the geometrical design variables of an improved territorial particle swarm optimization (TPSO) algorithm. In order to overcome the potential bottleneck of high computational cost associated with the required computational fluid dynamics (CFD)-based function evaluations, TPSO algorithm is coupled with a predictive artificial neural networks (ANN), well trained with an input dataset designed based on the Taguchi method. The obtained profile shows an evident convective heat dissipation improvement accomplished mainly via airflow acceleration over the vanes, avoiding early flow detachment and adjusting the flow separation region at the rear part of the suction sides. The results also reveal the approaches by which such a superior performance is achieved by means of the modified surface curvatures.
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      Heat Transfer Improvement in Automotive Brake Disks Via Shape Optimization of Cooling Vanes Using Improved TPSO Algorithm Coupled With Artificial Neural Network

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4253012
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    contributor authorKarbalaei Mehdi, Javid
    contributor authorNejat, Amir
    contributor authorShariat Panahi, Masoud
    date accessioned2019-02-28T11:07:55Z
    date available2019-02-28T11:07:55Z
    date copyright8/28/2017 12:00:00 AM
    date issued2018
    identifier issn1948-5085
    identifier othertsea_010_01_011013.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253012
    description abstractOne important safety issue in automotive industry is the efficient cooling of brake system. This research work aims to introduce an optimized cooling vane geometry to enhance heat removal performance of ventilated brake disks. The novel idea of using airfoil vanes is followed as the basis of this investigation (Nejat et al., 2011, “Heat Transfer Enhancement in Ventilated Brake Disk Using Double Airfoil Vanes,” ASME J. Therm. Sci. Eng. Appl., 3(4), p. 045001). In order to perform the optimization technique efficiently, an integrated shape optimization process is designed. According to the aerodynamic and heat transfer considerations, first an appropriate airfoil is selected as the base profile to be optimized. For the shape modification purpose, a curve parameterization method named class shape transformation (CST) is utilized. The control parameters defined in CST method are then established as the geometrical design variables of an improved territorial particle swarm optimization (TPSO) algorithm. In order to overcome the potential bottleneck of high computational cost associated with the required computational fluid dynamics (CFD)-based function evaluations, TPSO algorithm is coupled with a predictive artificial neural networks (ANN), well trained with an input dataset designed based on the Taguchi method. The obtained profile shows an evident convective heat dissipation improvement accomplished mainly via airflow acceleration over the vanes, avoiding early flow detachment and adjusting the flow separation region at the rear part of the suction sides. The results also reveal the approaches by which such a superior performance is achieved by means of the modified surface curvatures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleHeat Transfer Improvement in Automotive Brake Disks Via Shape Optimization of Cooling Vanes Using Improved TPSO Algorithm Coupled With Artificial Neural Network
    typeJournal Paper
    journal volume10
    journal issue1
    journal titleJournal of Thermal Science and Engineering Applications
    identifier doi10.1115/1.4036966
    journal fristpage11013
    journal lastpage011013-14
    treeJournal of Thermal Science and Engineering Applications:;2018:;volume( 010 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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