Characterization of Automotive Brake Discs with Laser-Machined Surfaces

Wang, Shuwen; Guo, Wei; Zeng, Kang; Zhang, Xuegang

doi:10.1007/s42154-019-00068-y

Cited by 6 publications

(9 citation statements)

References 28 publications

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“…Figure 7 shows the five brake discs before testing. More details about the surface structures on the five brake discs can be found in 43 . The brake dynamometer can test the braking performance of the brake discs and friction pads at different speeds, temperatures, and contact pressures by running various test procedures (e.g.…”

Section: Experiments Setup and Methodologymentioning

confidence: 99%

“…Before the brake test dynamometer tests, the surface of disk A was smooth, 48 grooves were laser-machined on each frictional surface of disk B and C, and 96 grooves were laser-machined on each surface of disk D and E, which can be seen in Figure 2. More details about the surface structures on the five brake disks can be found in Wang et al 28 The brake dynamometer can test the braking performance of the brake disks and friction pads at different speeds, temperatures, and contact pressures by running various test procedures (e.g. QC/ T564, ISO2667, SAE-J2521, etc.).…”

Section: Experimental Setup and Data Collectionmentioning

confidence: 99%

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Prediction of frictional braking noise based on brake dynamometer test and artificial intelligent algorithms

Wang

Zhong

Niu

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Based on brake noise dynamometer test data, combined with the artificial intelligent algorithms, frictional braking noise is quantitatively analyzed and predicted in this study. To achieve this goal, a frictional braking noise prediction method is indicatively proposed, which consists of two main parts: first, based on the experimental data obtained from the brake noise dynamometer tests, and combining with the improved Long-Short-Term Memory (LSTM) algorithm, the coefficients of friction (COFs) are predicted under various braking test conditions. Then, based on the predicted braking COFs and other selected critical braking parameters, the quantitative prediction of frictional braking noise is obtained by means of the optimized eXtreme Gradient Boosting (XGBoost) algorithm. Finally, the inherent features of the XGBoost algorithm are employed to qualitatively analyze the importance of the main factors affecting the frictional braking noise. The prediction algorithms of COFs and frictional braking noise are validated by the brake dynamomter test data, and the R2 (R square) scores of both the LSTM and XGBoost prediction algorithms are 0.9, which verifies the feasibility of both algorithms. The main contribution of this work is to predict the braking noise based on a large set of test data and combined with the LSTM and XGBoost artificial intelligent algorithms, which can significantly save time for the brake system development and braking performance testing, and has significance to the rapid prediction of braking frictional noise and fast NVH (noise, vibration, and harshness) optimal design of frictional braking systems.

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Section: Experiments Setup and Methodologymentioning

confidence: 99%

Section: Experimental Setup and Data Collectionmentioning

confidence: 99%

Prediction of frictional braking noise based on brake dynamometer test and artificial intelligent algorithms

Wang

Zhong

Niu

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

Self Cite

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show abstract

“…Second, surface textures reduce the friction contact area, store the abrasive particles, and prevent the wear caused by the third body (abrasive particles) between the frictional contact surfaces. Third, laser surface texturing (LST) increases the surface hardness and decreases the tensile residual stress [38] or increases the compressive residual stress of the laser textured surface [39]. Therefore, improving the wear resistance of the textured surface.…”

Section: The Mechanism Of Friction and Wear Reduction By Lstmentioning

confidence: 99%

“…In addition, the LST reduces the wear on the contact surfaces, which has a significant effect on the reduction of frictional vibrations and noise. Moreover, LST reduces the tensile residual stress of the textured surface [38], which has a positive effect on the reduction of frictional vibrations and noise. Furthermore, laser surface texturing facilitated better lubrication on the contact surfaces, resulting in the improved contact stiffness and damping [41], which is beneficial to the reduction of frictional noise and vibrations.…”

Section: The Mechanism Of Frictional Vibration and Noise Reduction By Lstmentioning

confidence: 99%

Effects of Laser Surface Texturing and Lubrication on the Vibrational and Tribological Performance of Sliding Contact

et al. 2022

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Various textures are fabricated by a picosecond laser machine on the surfaces of circular stainless steel specimens. Vibrational and tribological effects of laser surface textures are investigated by means of a tribometer and a data acquisition and signal processing (DASP) system. Experimental results show that surface textures can reduce the coefficients of friction (COFs), enhance the wear resistance, and improve the dynamical performance of frictional surfaces. In this study, the surface with micro circular dimples in diameter of 150 μm or textured area density of 25% has the best tribological and dynamical performance. Compared with the non-textured surface, the surface with circular dimples in diameter of 150 μm and 15% textured area density has 27% reduction of COFs, 95% reduction of frictional vibrations, and 66% reduction of frictional noise. The frictional vibrations and noise in the sliding contacts can be effectively reduced by adding graphene to the lubrication oil, and the surface textures enhance the frictional noise reduction performance of lubrication.

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“…Wang et al [9] used laser stripping technology to process M-shaped grooves of different depths and quantities on the surfaces of the automotive brake discs, and then studied the influence of the surface grooves on the performance of braking vibrations and noise of the brake discs. The experimental results show that the laser machined grooves not only improved the physical characteristics of the brake disc surfaces (surface hardness increased, residual stress decreased), but also effectively reduced the brake noise and vibrations, especially the high-frequency noise within the range of 4-6 kHz.…”

Section: Introductionmentioning

confidence: 99%

Study on the effects of laser quenching power and scanning speed on the property of cast iron

Wang

Yan

Lin

et al. 2022

J. Phys.: Conf. Ser.

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The laser surface quenching power, scanning speed, and spot area have significant effect on the properties of the laser quenched materials. The effects of laser quenching power and scanning speed on the tribological, vibration, and noise performance of gray cast iron (HT250) are studied in this paper. Keeping the laser quenching spot constant, 12 cast iron discs are laser quenched by changing the laser quenching power and scanning speed. Various mechanical, tribological, and dynamical testing equipment are used to characterize the properties of the laser quenched cast iron discs, in terms of the surface hardness, residual stress, friction coefficient, and frictional vibrations and noise of the cast iron discs. The experimental results show that after laser surface quenching, the surface hardness of the cast iron disc has been increased more than 4 times, the residual stress on the disc surface is changed from tensile stress to compressive stress, the friction coefficients of the laser quenched cast iron discs have been significantly increased, and the vibration and noise generated from the laser quenched cast iron discs have been significantly changed. This research has significance to the improvement of the surface performance of automotive brake discs and the control of braking frictional vibrations and noise.

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Characterization of Automotive Brake Discs with Laser-Machined Surfaces

Cited by 6 publications

References 28 publications

Prediction of frictional braking noise based on brake dynamometer test and artificial intelligent algorithms

Prediction of frictional braking noise based on brake dynamometer test and artificial intelligent algorithms

Effects of Laser Surface Texturing and Lubrication on the Vibrational and Tribological Performance of Sliding Contact

Study on the effects of laser quenching power and scanning speed on the property of cast iron

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