A Diagnostic System for Air Brakes in Commercial Vehicles

Subramanian, Shankar C.; Darbha, Swaroop; Rajagopal, Κ. R.

doi:10.1109/tits.2006.880645

Cited by 63 publications

(24 citation statements)

References 46 publications

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“…Subramanian ve arkadaşlarının üzerinde çalıştıkları fren sistemi modelinde yalnızca ön fren devresini göz önünde bulundurarak besleme basıncına ve kısmi fren uygulamalarına karşılık fren körüğünde meydana gelen basınç geçişlerini incelemişlerdir [3]. Başka çalışmalarda ise pnömatik fren sisteminde sıklıkla ortaya çıkabilecek hava kaçaklarının ve körük itici millerinin ayarlanamaması gibi arızaların otomatik olarak tespit edilebilmesi için model tabanlı çalışmalar yapılmıştır [5], [6]. Diğer çalışmalarda ise pnömatik fren sisteminin matematiksel modelleri ortaya konulmaya Pamukkale Univ Muh Bilim Derg, 24 (8), 1409-1417(TOK'2017 İ. C. Güleryüz, Ö. Başer çalışılmıştır.…”

Section: Introductionunclassified

Computer aided calculation and experimental verification of response time of pneumatic brake system for 4x4 heavy duty vehicles

Güleryüz¹,

Başer²

2018

Pamukkale J Eng Sci

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Bu çalışmanın ana hedefi, 4x4 ağır hizmet araçları için, araç testleri ile doğrulanmış ve fren tepki süresi tahminlerinde kullanılacak detaylı bir havalı (pnömatik) fren sistemi dinamik modelinin elde edilmesidir. Bu neden ile bu çalışmada, havalı fren sistemi dinamik davranışını belirleyebilmek amacıyla genel bir matematiksel model önerilmektedir. Bu amaca uygun olarak, öncelikle havalı fren sisteminin pnömatik ve mekanik alt sistemlerine ait detaylar incelenmiştir. Daha sonrasında benzetimlerde kullanılmak üzere elde edilen matematiksel ifadeler Simulink modeline uyarlanmıştır. Simulink modelinin oluşturulması esnasında sistem parametrelerinin bir kısmı literatürde bulunan temel modellerden ve/veya fren sistemine ait bileşenlerin teknik veri sayfalarından elde edilmiştir. Burada daha karmaşık bir havalı fren sistemi modellemesi amaçlandığı için daha fazla sistem parametresine ihtiyaç duyulmaktadır. Bu bilinmeyen parametreleri belirleyebilmek amacıyla, fren tepki süresi testleri kampana frenli bir 4x4 ağır hizmet aracı üzerinde gerçekleştirilmiştir. Bu testlere ait deneysel sonuçlar kullanılarak sistem modelindeki bilinmeyen parametreler ayarlanmıştır. Daha sonra elde edilen model, prototip seviyesindeki başka bir 4x4 araca uyarlanmış ve burada fren tepki süresi hesaplamaları doğrulanmıştır. Main objective of this study is to obtain a detailed dynamic model of pneumatic brake system that will be verified with vehicle tests and be used for response time prediction of 4x4 heavy duty vehicles. Hence, in this study, a general mathematical model is proposed to determine the dynamic characteristics of pneumatic brake system. For this purpose, first of all the details of pneumatic and mechanical subsystems of the air brake system are investigated. After that; in order to be able to execute the simulations, mathematical equations derived are adapted to the Simulink model. When constructing the Simulink model, some system parameters are obtained from the basic models in the literature and/or are taken from the technical datasheets of the brake system components. Since a more complicated pneumatic brake system is aimed to be modeled, much more system parameters are required to be estimated. To identify those unknown parameters, response time tests were performed on a 4x4 heavy-duty vehicle equipped with wedge drum brakes. The experimental results of those tests are used to tune the system model for the unknown parameters. After that, the model obtained is adapted to a prototype level 4x4 heavy duty vehicle and the break response time calculations are verified.

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Section: Introductionunclassified

Computer aided calculation and experimental verification of response time of pneumatic brake system for 4x4 heavy duty vehicles

Güleryüz¹,

Başer²

2018

Pamukkale J Eng Sci

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“…Thus, this paper aims to investigate the effect of environmental sand particles (silica sand and road sand particles. Los procedimientos de mantenimientos preventivos o correctivos se pueden hacer fácilmente en un centro diagnóstico para vehículos pero implica tiempo y elevados costos para saber el resultado del desgaste y cuál es el mejor mantenimiento para este tipo de freno [2], [3]among other things, on a properly functioning brake system. Air brake systems are widely used in commercial vehicles such as trucks, tractor-trailers, and buses.…”

Section: Introductionunclassified

Consideraciones para el diseño de un sistema diagnóstico de frenos de disco en un vehículo particular

García

Sánchez

2017

Avances

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El presente artículo describe los aspectos en el proceso de frenado de un vehículo particular, para determinar la viabilidad de un sistema diagnóstico que establezca su estado actual en tiempo real, disminuyendo los índices de accidentalidad establecidos por la ANSV (Agencia Nacional Seguridad Vial). Por otra parte, se relacionan investigaciones respecto al tema de sistemas de frenos de disco y cómo aportan al diseño del sistema diagnóstico, mediante simulaciones con software ANSYS (Swanson Analysis Systems, Inc.) y sistemas de frenos de disco utilizados comúnmente como los ABS (Sistema antibloqueo de ruedas), teniendo en cuenta los antecedentes de estos sistemas. En consecuencia, como resultado del análisis realizado a las diferentes variables del sistema de freno de disco, se determinó que la temperatura es una de las fuentes que más afecta el desempeño del sistema de frenado, ocasionando desgastes en pastillas de freno, mecanismos del mismo y deformaciones en el disco.

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“…The presence of defects in the air brake system increases the possibility of accidents. Typical brake defects include worn-out brake linings, outof-adjustment push rods (a push rod is said to be "out-ofadjustment" when its stroke exceeds a certain limit known as the "re-adjustment limit") and leaks in the system (Subramanian, 2006). Most brake failures are caused by faulty maintenance and repair or a lack of maintenance efforts by the vehicle owners (Limpert, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…Subramanian et al (2006) presented a scheme to predict the push rod stroke using the pressure transients in the brake chamber, considering the different modes of the pressure evolution in the brake chamber. The method developed by Kandt et al (2000) combined the masses of the mechanical subsystem, and the governing equations of motion were given in terms of the push rod stroke.…”

Section: Introductionmentioning

confidence: 99%

Model-based analysis of the mechanical subsystem of an air brake system

Sonawane

Narayan

Rao

et al. 2011

Int.J Automot. Technol.

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Most commercial vehicles such as buses and trucks use an air brake system, often equipped with an S-cam drum brake, to reduce their speed and/or to stop. With a drum brake system, the clearance between the brake shoe/pad and the brake drum may increase because of various reasons such as wearing of the brake shoe and/or brake drum and drum expansion caused by high heat generation during the braking process. Hence, to ensure proper functioning of the brake system, it is essential that the clearance between the brake shoe and the brake drum is monitored. In this paper, we present a mathematical model for the mechanical subsystem of the air brake system that can be used to monitor this clearance. This mathematical model correlates the push rod stroke transients and the brake chamber pressure transients. A kinematic analysis and a dynamic analysis of the mechanical subsystem of the air brake system were performed, and the results are corroborated with experimental data.

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A Diagnostic System for Air Brakes in Commercial Vehicles

Cited by 63 publications

References 46 publications

Computer aided calculation and experimental verification of response time of pneumatic brake system for 4x4 heavy duty vehicles

Computer aided calculation and experimental verification of response time of pneumatic brake system for 4x4 heavy duty vehicles

Consideraciones para el diseño de un sistema diagnóstico de frenos de disco en un vehículo particular

Model-based analysis of the mechanical subsystem of an air brake system

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