Open Access

TUTORIAL

Roman Vinokur^*
Sound & Vibration, Vol.57, pp. 1-13, 2023, DOI:10.32604/sv.2023.041784
（This article belongs to this Special Issue: Passive and Active Noise Control for Vehicle)
Abstract The loss factors and their effects on the magnitude and frequency of resonance peaks in various mechanical systems are reviewed for acoustic, vibration, and vibration fatigue applications. The main trends and relationships were obtained for linear mechanical models with hysteresis damping. The well-known features (complex module of elasticity, total loss factor, etc.) are clarified for practical engineers and students, and new results are presented (in particular, for 2-DOF in-series models with hysteresis friction). The results are of both educational and practical interest and may be applied for NVH analysis and testing, mechanical and aeromechanical design, and noise and vibration control… More >

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Open Access

ARTICLE

Zhen Zhong^*, Yadong Li, Yuxuan Zhao, Pengfei Ju
Sound & Vibration, Vol.57, pp. 15-27, 2023, DOI:10.32604/sv.2023.041954
Abstract Bent-housing motor is the most widely used directional drilling tool, but it often encounters the problem of high friction when sliding drilling in horizontal wells. In this paper, a mathematical model is proposed to simulate slide drilling with a friction reduction tool of axial vibration. A term called dynamic effective tractoring force (DETF) is defined and used to evaluate friction reduction effectiveness. The factors influencing the DETF are studied, and the tool placement optimization problem is investigated. The study finds that the drilling rate of penetration (ROP) can lower the DETF but does not change the trend of the DETF… More >

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ARTICLE

Shuiping Zhang^1,2, Xi Liang³, Lin Shi², Lei Yan⁴, Jun Tang^1,2,*
Sound & Vibration, Vol.57, pp. 29-44, 2023, DOI:10.32604/sv.2023.041350
（This article belongs to this Special Issue: Passive and Active Noise Control for Vehicle)
Abstract The filter-x least mean square (FxLMS) algorithm is widely used in active noise control (ANC) systems. However, because the algorithm is a feedback control algorithm based on the minimization of the error signal variance to update the filter coefficients, it has a certain delay, usually has a slow convergence speed, and the system response time is long and easily affected by the learning rate leading to the lack of system stability, which often fails to achieve the desired control effect in practice. In this paper, we propose an active control algorithm with nearest-neighbor trap structure and neural network feedback mechanism… More >

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