Home / Journals / SV / Vol.57, No.1, 2023
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  • Open AccessOpen Access

    TUTORIAL

    Loss Factors and their Effect on Resonance Peaks in Mechanical Systems

    Roman Vinokur*
    Sound & Vibration, Vol.57, pp. 1-13, 2023, DOI:10.32604/sv.2023.041784
    (This article belongs to the 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, More >

  • Open AccessOpen Access

    ARTICLE

    A Method of Evaluating the Effectiveness of a Hydraulic Oscillator in Horizontal Wells

    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… More >

  • Open AccessOpen Access

    ARTICLE

    Research on Narrowband Line Spectrum Noise Control Method Based on Nearest Neighbor Filter and BP Neural Network Feedback Mechanism

    Shuiping Zhang1,2, Xi Liang3, Lin Shi2, Lei Yan4, Jun Tang1,2,*
    Sound & Vibration, Vol.57, pp. 29-44, 2023, DOI:10.32604/sv.2023.041350
    (This article belongs to the 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… More >

    Graphic Abstract

    Research on Narrowband Line Spectrum Noise Control Method Based on Nearest Neighbor Filter and BP Neural Network Feedback Mechanism

  • Open AccessOpen Access

    ARTICLE

    Research on Human-Vehicle-Road Friendliness Based on Improved SH-GH-ADD Control

    Yangyang Bao, Mingliang Yang, Haibo Huang, Liyuan Liu, Honglin Zhu, Weiping Ding*
    Sound & Vibration, Vol.57, pp. 45-68, 2023, DOI:10.32604/sv.2023.043279
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The hub-driven virtual rail train is a novel urban transportation system that amalgamates the benefits of modern trams and buses. However, this system is plagued by issues such as decreased ride comfort and severe deformation of urban roads due to the increase in sprung mass and long-term rolling at the same position. To address these concerns and improve the human-vehicle-road friendliness of the virtual rail train, we propose an Improved Sky-Ground Hook and Acceleration-Driven Damper control (Improved SH-GH-ADD control) strategy for the semi-active suspension system. This control monitors the vibration acceleration signal of the unsprung More >

  • Open AccessOpen Access

    EDITORIAL

  • Open AccessOpen Access

    ARTICLE

    Multi-Objective Prediction and Optimization of Vehicle Acoustic Package Based on ResNet Neural Network

    Yunru Wu1, Xiangbo Liu1, Haibo Huang1,2,*, Yudong Wu1, Weiping Ding1,2, Mingliang Yang1,2,*
    Sound & Vibration, Vol.57, pp. 73-95, 2023, DOI:10.32604/sv.2023.044601
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract Vehicle interior noise has emerged as a crucial assessment criterion for automotive NVH (Noise, Vibration, and Harshness). When analyzing the NVH performance of the vehicle body, the traditional SEA (Statistical Energy Analysis) simulation technology is usually limited by the accuracy of the material parameters obtained during the acoustic package modeling and the limitations of the application conditions. In order to effectively solve these shortcomings, based on the analysis of the vehicle noise transmission path, a multi-level objective decomposition architecture of the interior noise at the driver’s right ear is established. Combined with the data-driven method, More >

  • Open AccessOpen Access

    ARTICLE

    Research on Stick-Slip Vibration Suppression Method of Drill String Based on Machine Learning Optimization

    Kanhua Su, Jian Wei*, Meng Li, Hao Li, Wenghao Da, Lang Zhang
    Sound & Vibration, Vol.57, pp. 97-117, 2023, DOI:10.32604/sv.2023.043734
    Abstract During the drilling process, stick-slip vibration of the drill string is mainly caused by the nonlinear friction generated by the contact between the drill bit and the rock. To eliminate the fatigue wear of downhole drilling tools caused by stick-slip vibrations, the Fractional-Order Proportional-Integral-Derivative (FOPID) controller is used to suppress stick-slip vibrations in the drill string. Although the FOPID controller can effectively suppress the drill string stick-slip vibration, its structure is flexible and parameter setting is complicated, so it needs to use the corresponding machine learning algorithm for parameter optimization. Based on the principle of… More >

    Graphic Abstract

    Research on Stick-Slip Vibration Suppression Method of Drill String Based on Machine Learning Optimization

  • Open AccessOpen Access

    ARTICLE

    Study of Axial Vibration of a Motor-Compressor System Using Operational Modal Analysis

    M. Farid Yahya1, Reduan Mat Dan2,3,*, M. Fadzlee Samsubaha1, Zaini Rashid1, Azma Putra2,3,*
    Sound & Vibration, Vol.57, pp. 119-131, 2023, DOI:10.32604/sv.2023.045029
    Abstract A case study of excessive vibration on a motor-compressor system is presented in this paper. After barely two months of operation, the reciprocating compressor motor’s routine monitoring revealed excessive axial vibration amplitude. For this reason, the Operational Modal Analysis (OMA) was carried out in order to identify the primary cause. According to the investigation, one of the harmonic components which was 18 times the motor’s running speed matched with a resonance frequency of 112 Hz. According to OMA study, the motor was vibrating in torsional motion because the compressor’s load had stimulated the entire motor-compressor More >

  • Open AccessOpen Access

    ARTICLE

    Adaptive Multi-Feature Fusion for Vehicle Micro-Motor Noise Recognition Considering Auditory Perception

    Ting Zhao1, Weiping Ding1, Haibo Huang1, Yudong Wu1,2,*
    Sound & Vibration, Vol.57, pp. 133-153, 2023, DOI:10.32604/sv.2023.044203
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract The deployment of vehicle micro-motors has witnessed an expansion owing to the progression in electrification and intelligent technologies. However, some micro-motors may exhibit design deficiencies, component wear, assembly errors, and other imperfections that may arise during the design or manufacturing phases. Consequently, these micro-motors might generate anomalous noises during their operation, consequently exerting a substantial adverse influence on the overall comfort of drivers and passengers. Automobile micro-motors exhibit a diverse array of structural variations, consequently leading to the manifestation of a multitude of distinctive auditory irregularities. To address the identification of diverse forms of abnormal… More >

    Graphic Abstract

    Adaptive Multi-Feature Fusion for Vehicle Micro-Motor Noise Recognition Considering Auditory Perception

  • Open AccessOpen Access

    EDITORIAL

    Introduction to the Special Issue on Passive and Active Noise Control for Vehicle

    Hui Guo*, Chao Yang
    Sound & Vibration, Vol.57, pp. 155-156, 2023, DOI:10.32604/sv.2023.043954
    (This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
    Abstract This article has no abstract. More >

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