Mechanical Systems and Signal Processing最新文献

{"title":"Development of a novel wake-induced rotational galloping wind energy harvester and the identification of its working mechanism","authors":"Yonghao Liu ,&nbsp;Jinglong Liu ,&nbsp;Kai Xue ,&nbsp;Jongwon Seok","doi":"10.1016/j.ymssp.2024.112019","DOIUrl":"10.1016/j.ymssp.2024.112019","url":null,"abstract":"<div><div>This study proposes a novel, high-performance electromagnetic wind energy harvesting system using wake-induced rotational galloping. The design idea is based on the premise that there exist multiple time delays between the angular displacement of a downstream bluff body and the torque generated on it, which induces system instability. A two-fold electromagnetic system was employed to efficiently impart torsional elasticity and convert mechanical energy into electrical energy. Furthermore, this study reports, for the first time, a mathematical model associated with wake-induced galloping in an autonomous form to explain the aerodynamic memory effect that causes system instability.</div><div>To identify the mechanism of the rotational galloping phenomenon occurring in the proposed energy harvesting system, comprehensive computational fluid dynamic analyses were first performed. Subsequently, the resulting aerodynamic moment diagram, in terms of the angular displacement of the downstream bluff body, was transformed into a nonlinear autonomous form through a Fourier analysis and trigonometric relations. The extended Hamilton’s principle was applied to derive a set of coupled governing equations, which were then combined with the autonomous form of the aerodynamic moment.</div><div>To determine the final system configuration, a series of preliminary and main experiments were performed with various geometric parameters. Subsequently, an eigen-analysis was performed, and a set of delay differential equations was solved and analyzed to determine the system stability and predict its dynamic and energetic behaviors under various conditions. A comparison between the results of the model with those of the experiment showed a good agreement, validating the accuracy of the proposed autonomous nonlinear time-delay model. The proposed energy harvesting system achieved an average output of 9.3 mW and a power density of 131 W/m³ at a wind velocity of 10 m/s, illustrating its efficiency and optimal energy harvesting performance.</div><div>From the viewpoint of how this study offers practical value, various column-shaped obstacles commonly used in urban areas negatively impact the performance of traditional galloping-based energy harvesters; however, with the proposed system, they generate vortices to cause instability, thereby helping improve energy harvesting efficiency.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112019"},"PeriodicalIF":7.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Fabry-Pérot resonator based metamaterial structure for acoustic signal enhancement in machinery condition monitoring","authors":"Shiqing Huang ,&nbsp;Yubin Lin ,&nbsp;Dawei Shi ,&nbsp;Rongfeng Deng ,&nbsp;Baoshan Huang ,&nbsp;Fengshou Gu ,&nbsp;Andrew D. Ball","doi":"10.1016/j.ymssp.2024.111986","DOIUrl":"10.1016/j.ymssp.2024.111986","url":null,"abstract":"<div><div>Lowering operational frequencies in acoustic signal processing enhances maintenance efficiency and reduces data handling burden for online machine condition monitoring. However, the lower frequency range presents challenges in acoustic sensing due to longer wavelengths requiring larger acoustic-aided devices and the difficulty in detecting subtle fault signals within surrounding noise. This study introduces a novel sensing approach that combines an acoustic wave-compressing graded index metamaterial with a Fabry-Pérot resonator to achieve machine fault acoustic signal enhancement. This innovative method amplifies lower frequency acoustic signals while maintaining the same compact dimensions as current graded metamaterials. Analytical models establish a direct link between sound pressure gain and key parameters, guiding tailored amplification for machinery fault detection. Numerical simulations and prototype experiments reveal a significant reduction in operational frequency and increased amplification gain, demonstrating the design’s effectiveness in improving lower frequency detection while remaining compact. The methodology’s efficacy is further demonstrated by its ability to extract weak fault harmonics in gear and bearing diagnostics. This approach contributes to acoustic signal selective-frequency range amplification and operational frequency lowering in acoustic-aided devices, opening avenues for application in low-speed rotational machinery condition monitoring, with potential impact extending to fields such as device miniaturization for enhanced fault detection in compact systems.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 111986"},"PeriodicalIF":7.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling and performance enhancement of the fluid coupling interface for hydraulic pressure energy harvesting by superposition of the static mean pressure and pressure fluctuations","authors":"Huifang Xiao ,&nbsp;Ziqi Zhu ,&nbsp;Haotang Qie ,&nbsp;Gang Liang ,&nbsp;Yihu Tang ,&nbsp;Chris Bowen ,&nbsp;James Roscow","doi":"10.1016/j.ymssp.2024.112042","DOIUrl":"10.1016/j.ymssp.2024.112042","url":null,"abstract":"<div><div>The monitoring and control of hydraulic systems in an autonomous and battery-free manner is receiving increasing attention to improve both safety and performance. In this regard, the conversion of pressure ripples within a hydraulic system into electric energy using hydraulic pressure energy harvesting (HPEH) is attractive due to the high energy intensity associated with dynamic pressure fluctuations. In this paper, a new theoretical model of the fluid to mechanical interface is established based on a central piezoelectric stack subject to a superimposed dynamic pressure fluctuation and a mean static pressure. A lumped-parameter model of the electromechanical coupling system is employed to study the overall harvesting performance of the system, and the force–deflection behavior of a circular edge-clamped plate with a lumped mass and a superimposed excitation is determined. The influence of static pressure on harvesting performance is explored in detail, where the mean static pressure introduces a softening nonlinearity to the harvester which decreases the power output and harvesting bandwidth. To reduce the negative impact of static pressure on power output, an optimized structure based on a quasi-zero stiffness (QZS) disc spring is proposed. The nonlinear restoring force of the circular plate interface on a central piezoelectric stack and disc spring is determined and the electromechanical coupling equations of the quasi-zero stiffness hydraulic pressure energy harvesting (QZS-HPEH) structure is established. Our theoretical analysis shows that the power output is improved using the novel QZS-HPEH structure, in particular at the high static loads presented in hydraulic systems. Experimental validation is performed, where good agreement is observed between model results and experimental measurements. The proposed model and experimental validation provide important new insights into the optimization of power output and application of HPEH devices in practical hydraulic systems.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112042"},"PeriodicalIF":7.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tire-Road friction coefficients adaptive estimation through image and vehicle dynamics integration","authors":"Shiyue Zhao ,&nbsp;Junzhi Zhang ,&nbsp;Yuhong Jiang ,&nbsp;Chengkun He ,&nbsp;Jinheng Han","doi":"10.1016/j.ymssp.2024.112039","DOIUrl":"10.1016/j.ymssp.2024.112039","url":null,"abstract":"<div><div>Current methods for identifying tire-road friction coefficient (TRFC) often struggle with accuracy and multiple interference issues. Addressing this, this paper proposes a novel TRFC estimation method that adapts to complex road conditions and performs self-diagnosis by the fusion of image and vehicle dynamics information. First, we compiled a comprehensive database comprising numerous images of extreme road surfaces along with corresponding vehicle dynamics data. A multi-temporal image fusion method was then developed. This method enables the segmentation and integration of road surface images for both the left and right-side wheels by tracking historical data, which ensures that each image is enriched with adequate road surface details. Subsequently, the road surface condition for each side is identified using a pre-trained transformer model. Following the image analysis, the TRFC is estimated in real-time using a residual adaptive unscented Kalman filter (UKF). High-confidence image estimation results serve as key adjusters for the UKF, enhancing estimation accuracy. The real vehicle test results demonstrate that our method accurately identifies the TRFC with enhanced robustness. Additionally, these tests confirmed the adaptive estimation method’s ability to detect faults and adjust steady-state values amidst model distortion, effectively maintaining accuracy despite image estimation declines caused by environmental interferences.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112039"},"PeriodicalIF":7.9,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficient method for computing eigenpair sensitivity of asymmetric damped systems with repeated eigenvalues","authors":"Zhengguang Li ,&nbsp;Siu-Kai Lai ,&nbsp;Baisheng Wu","doi":"10.1016/j.ymssp.2024.111955","DOIUrl":"10.1016/j.ymssp.2024.111955","url":null,"abstract":"<div><div>This paper presents a new algorithm for computing the sensitivity of eigenpairs in asymmetric damped systems with repeated eigenvalues. The derivatives of eigenvectors in such systems are divided into particular and homogeneous solutions. An effective strategy for constructing non-singular coefficient matrices is proposed to calculate the particular solutions. The present method only needs to consider the modal information of repeated frequencies for calculating eigenpair sensitivity, it does not need to expand the order of the system and rearrange the matrices. Hence, we can minimize the “fill-in” operation to the sparse matrices of the system, this facilitates the integration of this algorithm into existing commercial software packages. Two rotor dynamic systems are considered in this work to demonstrate the effectiveness of the proposed algorithm.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 111955"},"PeriodicalIF":7.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A heterogeneous decision voting-based transfer domain adaptation method for damage localization of CFRP composite structures","authors":"Yihan Wang,&nbsp;Yunlai Liao,&nbsp;Xiyue Cui,&nbsp;Yuan Huang,&nbsp;Xinlin Qing","doi":"10.1016/j.ymssp.2024.112015","DOIUrl":"10.1016/j.ymssp.2024.112015","url":null,"abstract":"<div><div>To achieve accurate damage localization for CFRP structures in various scenarios with limited sample sizes, this paper proposes a novel transfer learning strategy called the heterogeneous decision voting-based transfer domain adaptation method for damage localization (HDV-TDADL). This method can achieve high-precision localization without the need for model fine-tuning. Firstly, this paper presents an HDV method, which eliminates irrelevant Lamb wave signals through three different voting principles, extracts and reconstructs key sub-signals from the Lamb wave signals. Subsequently, a double transfer domain adaptation (DTDA) damage feature extraction method is introduced, which is based on the fusion of linear and nonlinear features to achieve adaptive damage mapping. The core of method proposed in this paper lies in finding shared damage diagnostic features between the source and target domains to address the domain mismatch issue, thereby reducing the domain shift phenomenon. Finally, an adaptive enhanced damage localization (ADEL) method is proposed, which effectively integrates multiple weak learners by adaptively adjusting feature weights, thereby constructing a stronger learner with better performance for precise damage localization. This paper designed twelve experimental scenarios covering a variety of damage transfer conditions and compared them with the current state-of-the-art methods. The experimental results demonstrate the significant advantages of the proposed method in terms of generalization ability and robustness.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112015"},"PeriodicalIF":7.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and dynamics of a cantilevered bistable buckled piezoelectric beam for vibrational energy harvesting","authors":"Diankun Pan ,&nbsp;Yong Liang ,&nbsp;Zhimin Zhang ,&nbsp;Zhangming Wu","doi":"10.1016/j.ymssp.2024.112013","DOIUrl":"10.1016/j.ymssp.2024.112013","url":null,"abstract":"<div><div>In this paper, a novel family of low-cost, magnet-free bistable piezoelectric energy harvesters with a simple structure is designed, fabricated, and tested to evaluate their nonlinear dynamics and performance for harvesting energy from broadband vibrations. A laser-machined bistable structure, consisting of a buckled beam and two supporting beams, is employed as the host structure for constructing this energy harvester with piezoelectric transducers. The integration of buckled beams and constraints provided by supporting beams allows for the configuration of this bi-stable buckled piezoelectric beam under cantilevered boundary conditions without requiring external operation. The proposed harvester’s static mechanical properties and dynamic responses are predicted using a finite element model, while its basic dynamics are understood through a simple analytical model. The frequency-sweep results demonstrate that the proposed harvester exhibits a broadband characteristic compared to the linear piezoelectric beam with a similar configuration, and various vibration modes and their corresponding performance of energy harvesting are analyzed and characterized. The potential of this proposed harvester is explored by adjusting the geometry parameters, such as the width of the supporting beam and thickness, to alter its dynamics and energy harvesting performance. Finally, a nonlinear energy harvesting array consisting of four proposed harvesters with adjacent broadbands is fabricated to enhance overall performance, achieving a broadband width of 13.7 Hz at an acceleration of 0.75 g. The proposed method introduces a novel design philosophy for nonlinear vibrational energy harvesters.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112013"},"PeriodicalIF":7.9,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Actuator saturation during active vibration control of milling","authors":"Muhammet Ozsoy ,&nbsp;Neil D. Sims ,&nbsp;Erdem Ozturk","doi":"10.1016/j.ymssp.2024.111942","DOIUrl":"10.1016/j.ymssp.2024.111942","url":null,"abstract":"<div><div>Machining chatter is a common problem in the manufacturing industry that can lead to reduced productivity, poor surface quality, and accelerated tool wear. Various methods have been proposed to suppress chatter, including passive, active, and hybrid techniques. Active control methods, in particular, have gained increasing attention due to their potential for achieving higher suppression effectiveness and adaptability to different machining conditions. However, one of the main challenges of active control is the occurrence of actuator saturation, which happens when the actuator reaches its maximum output and cannot provide any further control action. This can lead to instability and deterioration of suppression performance. Despite its significance, the issue of actuator saturation in machining chatter suppression has not received much attention in the literature. Therefore, this paper aims to fill this gap by providing a detailed investigation of the effects of actuator saturation on the performance of active control methods for chatter suppression. The paper presents a comprehensive review of existing literature on machining chatter suppression methods, with a specific focus on active control techniques and their associated problems, such as saturation. An experimental scenario is presented that illustrates the problem of actuator saturation in the context of robotically assisted milling. The paper then proposes a novel actuator saturation model in the frequency domain that can significantly inform the selection of cutting parameters, potentially enhancing material removal rates and operational productivity. By addressing this research problem, this paper aims to make a significant contribution to the field of machining chatter suppression and stimulate further research in this direction.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 111942"},"PeriodicalIF":7.9,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficient generic direct integration method for the generalized damping structure dynamic system","authors":"Renjie Shen ,&nbsp;Junjie Liu ,&nbsp;Lixin Xu","doi":"10.1016/j.ymssp.2024.112022","DOIUrl":"10.1016/j.ymssp.2024.112022","url":null,"abstract":"<div><div>Generalized damping is a time-memory nonlocal model that takes the complete history velocity into account through a convolution. The kernel function of the convolution represents the distribution or the weight of history velocity in the time dimension. In this work, a high-efficiency algorithm is proposed for the calculation of generalized damping convolution. In this algorithm, the kernel function in the convolution is approximated by Fourier series. The relationship between the second derivative of the convolution and the convolution itself has been established. The derivative of the convolution is computed through multi-points difference scheme. This algorithm combined with direct time integration method is a generic method that can be applied for any causal kernel functions. By analyzing the computational complexity of different methods, it can be seen that the computational complexity of the existing methods is not only related to the number of degrees of freedom of the system, but also has a quadratic or cubic relationship with the number of computational steps. The computational efficiency of the proposed method is only related to the number of degrees of freedom of the system, not the number of steps, its efficiency is higher than that of the existing direct integration methods. Numerical examples are provided to illustrate the accuracy and especially the efficiency of the integration.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 112022"},"PeriodicalIF":7.9,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-situ quality inspection based on coaxial melt pool images for laser powder bed fusion with depth graph network guided by prior knowledge","authors":"Yingjie Zhang ,&nbsp;Honghong Du ,&nbsp;Kai Zhao ,&nbsp;Jiali Gao ,&nbsp;Xiaojun Peng ,&nbsp;Lang Cheng ,&nbsp;Canneng Fang ,&nbsp;Gang Chen","doi":"10.1016/j.ymssp.2024.111993","DOIUrl":"10.1016/j.ymssp.2024.111993","url":null,"abstract":"<div><div>In-situ monitoring is crucial for enhancing process quality control in laser powder bed fusion (LPBF). Currently, data-driven approaches in LPBF in-situ quality monitoring have shown remarkable success. However, existing data-driven methods often lack integration with physical knowledge, leading to the opacity of decision-making processes. Research on LPBF knowledge-data mixed-driven modeling is still relatively scarce. To address this gap, this paper proposes a deep graph network method guided by prior knowledge (MK-DGNet) for in-situ quality inspection based on coaxial melt pool images. In the proposed method, prior knowledge is first extracted based on understanding of melt pool. Then, the fusion module is used to place images and knowledge vectors in the same dimensional space. Finally, a deep graph network architecture is elaborately established, taking graph-formatted data as input to learn deep-layer relationships between nodes and edges. The superiority of MK-DGNet is demonstrated using publicly available NIST datasets and self-built CMPQ dataset. Additionally, explainable artificial intelligence methods are employed to explain the basis of network decisions and the effectiveness of prior knowledge. This research provides new methods and perspectives for addressing quality issues in the LPBF process.</div></div>","PeriodicalId":51124,"journal":{"name":"Mechanical Systems and Signal Processing","volume":"224 ","pages":"Article 111993"},"PeriodicalIF":7.9,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}