Intelligent prediction of wear life of automobile brake pad based on braking conditions

Cao, Jingyu; Bao, Jiusheng; Yin, Yajun; Wang, Yao; Liu, Tonggang; Cao, Ting

doi:10.1108/ilt-04-2022-0132

Cited by 5 publications

(2 citation statements)

References 12 publications

(15 reference statements)

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“…Безумовно параметри ефективність гальмування ТЗ впливають на довговічність пар тертя у гальмівному механізмі і це враховується під час проектування та експлуатації [10].…”

Section: аналіз публікаційunclassified

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Saraiev¹,

Saraіevа²,

Danets³

et al. 2023

VEIT

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Problem. Checking the brake system of a vehicle is crucial in terms of assessing its operational safety, and performance indicators and permissible modes are determined by the state standards of Ukraine. However, there are challenges related to the accuracy and objectivity of evaluating the braking efficiency of a car. The coefficient of adhesion between the wheel and the road surface is the primary factor that significantly affects the braking dynamics of a vehicle. This coefficient constantly changes due to various factors such as road surface conditions, tire design and properties, tire effectiveness, and car speed. Assessing the impact of these factors on a car's braking performance is difficult. Goal. The aim of this study is to experimentally determine the influence of tire properties on vehicle braking efficiency by conducting a multifactorial experiment on cars of different brands with different types of tires. Methodology. The study employs the method of conducting braking tests under road conditions using the necessary equipment. Statistical data on braking efficiency parameters were collected from cars equipped with different tire brands. Experimental tests were conducted on Mazda 323F and Hyundai Elantra cars, using tires from various manufacturers such as Sava, Tigar, Nokian, and MICHELIN. The tests were performed on asphalt-concrete surfaces under dry and wet conditions, and the braking efficiency indicators were measured. Originality. The experiment revealed that the quality of the rubber used in car tires has a significant impact on their braking efficiency within a wide range. The deceleration of a category М1 vehicle can exceed the minimum requirements for braking efficiency, established by national and international standards, by 29-67%, depending on the tire brand. This research presents prospects for further development of experimental and statistical studies in this field, aiming to provide a better understanding of car braking efficiency parameters based on tire quality. Practical Value. The data obtained from this study are of practical importance for evaluating the effectiveness of car braking during expert investigations of traffic accidents. This enables experts to draw more objective conclusions about the accident process and determine the driver's ability to avoid such incidents.

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Section: аналіз публікаційunclassified

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Saraiev¹,

Saraіevа²,

Danets³

et al. 2023

VEIT

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show abstract

“…The performance of the brake pads directly affects the safety and reliability of the whole braking system. When the remaining thickness of the brake pads exceeds the critical threshold, it will greatly reduce the braking effect of the car and even produce major braking accidents, which is undoubtedly a major safety hazard for civilian vehicles [1]. Therefore, it is necessary to carry out real-time monitoring and health management of the wear state of the brake pads, so that the management system can intelligently alarm according to the predicted results and guide the driver to replace the brake pads before they reach the end of their life cycle, which can greatly improve the passive safety of vehicle driving.…”

Section: Introductionmentioning

confidence: 99%

Research on CNN-LSTM Brake Pad Wear Condition Monitoring Based on GTO Multi-Objective Optimization

Wang

et al. 2023

Actuators

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As the core component of the automobile braking system, brake pads have a complex structure and high failure rate. Their accurate and effective state monitoring can help to evaluate the safety performance of brake pads and avoid accidents caused by brake failure. The wear process of automobile brake pads is a gradual, nonlinear, and non-stationary time-varying system, and it is difficult to extract its features. Therefore, this paper proposes a CNN-LSTM brake pad wear state monitoring method. This method uses a Convolutional Neural Network (CNN) to complete the deep mining of brake pad wear characteristics and realize data dimensionality reduction, and a Long Short-Term Memory (LSTM) network to capture the time dependence of the brake pad wear sequence, so as to construct the nonlinear mapping relationship between brake pad wear characteristics and brake pad wear values. At the same time, the artificial Gorilla Troops Optimization (GTO) algorithm is used to perform multi-objective optimization of the network structure parameters in the CNN-LSTM model, and its powerful global search ability improves the monitoring effect of the brake pad wear status. The results show that the CNN-LSTM model based on GTO multi-objective optimization can effectively monitor the wear state of brake pads, and its coefficient of determination R2 value is 0.9944, the root mean square error RMSE value is 0.0023, and the mean absolute error MAE value is 0.0017. Compared with the BP model, CNN model, LSTM model, and CNN-LSTM model, the value of the coefficient of determination R2 is the closest to 1, which is increased by 8.29%, 5.52%, 4.47%, 3.30%, respectively, which can more effectively realize the monitoring and intelligent early warning of the brake pad wear state.

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An investigation on the performance of vehicle brake pads developed from Cortaderia selloana based biomass

Yavuz,

Bayrakçeken,

Çengelci

et al. 2024

Biomass Conv. Bioref.

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Nowadays, researchers are making intense efforts to develop biomass-based industrial products. This study developed low-metallic and asbestos-free samples based on Cortaderia selloana (12–15% and 18% ratios), a natural species, to contribute to the brake pad field. The developed samples’ friction coefficient and wear rate experiments were carried out on a brake pad test device with a load of 1 MPa and a disk rotation speed of 6 m/s, according to the TS555 standard. Scanning electron microscopy and electron-dispersive x-ray analysis were performed on the worn surfaces of the samples. According to the results obtained, the wear rate increased while the average friction coefficient decreased in the brake pad samples using 18% Cortaderia selloana content in the sample content. In scanning electron microscopy analysis, primary and secondary plateau formations were observed on the worn surfaces of all samples. At the same time, samples containing 15% and 18% Cortaderia selloana also showed signs of abrasive wear. High friction coefficient and low wear rate are expected for brake pads to be used in automobiles. In general, the friction of brake pads must be within the range, and it is always necessary to balance the friction to avoid driver discomfort. However, except for some racing applications, a high coefficient of friction is only sometimes desirable, which can cause rotor wear problems. As a result of this research, a consistent friction coefficient and low wear rate for the brake pads with the brake pad sample containing 12% Cortaderia selloana.

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Intelligent prediction of wear life of automobile brake pad based on braking conditions

Cited by 5 publications

References 12 publications

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Experimental evaluation of vehicle braking efficiency considering the influence of tires

Research on CNN-LSTM Brake Pad Wear Condition Monitoring Based on GTO Multi-Objective Optimization

An investigation on the performance of vehicle brake pads developed from Cortaderia selloana based biomass

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