Article
Acoustics
Adrien Melot, Youness Benaicha, Emmanuel Rigaud, Joel Perret-Liaudet, Fabrice Thouverez
Summary: This study presents a methodology for nonlinear dynamic analysis of a gear transmission with holes, investigating their impact on vibration levels, contact loss, and bifurcations. Results show that holes affect not only the static transmission error (STE) but also the mesh stiffness, leading to changes in the bifurcation structure along the main solution branch and a decrease in vibro-impact regions. Further research indicates that holed gear blanks can effectively prevent contact loss and promote a linear response with increased static torque.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Jiang Han, Guanghui Li, Xiaoqing Tian, Hong Jiang, Zhenhui Yu, Lian Xia
Summary: In this study, a dynamic model of gear transmission with tooth surface roughness characteristics was established using fractal theory. Numerical simulations showed that the dynamic properties of the gear transmission degrade with increasing roughness. The model demonstrated better predictive capability compared to traditional models, and the experimental results verified the attenuation of dynamic behavior with increasing tooth surface roughness. The correlation between tooth surface roughness and gear transmission behavior was theoretically substantiated, providing a foundation for gear surface design.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Mechanical
Qiang Zhang, Xiaosun Wang, Shijing Wu, Shaobo Cheng, Fuqi Xie
Summary: The study proposes a 42-degree-of-freedom translation-torsion coupling dynamic model of wind turbine compound gear transmission system, considering various factors such as time-varying meshing friction and stiffness. The system exhibits complex bifurcation and chaotic behaviors, with the effects of friction leading to increased chaos.
NONLINEAR DYNAMICS
(2022)
Article
Mining & Mineral Processing
Zhongbei Li, Ting Ren, Xiangchun Li, Ming Qiao, Xiaohan Yang, Lihai Tan, Baisheng Nie
Summary: In this study, the multi-scale pore fractal characteristics of six coal samples of different rankings were investigated using high-pressure mercury injection, low-pressure nitrogen adsorption, and scanning electron microscopy tests. The results showed that the pore structures within these coal samples exhibited obvious fractal characteristics, and the fractal dimensions were greatly influenced by coal metamorphism. This study provides valuable knowledge for the appraisal of differently ranked coal seam gas reservoirs.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Mechanical
F. L. Liao, J. L. Huang, W. D. Zhu
Summary: Periodic and period-doubling vibrations in a gear transmission system with multipiecewise linear forced excitations are investigated using the incremental harmonic balance (IHB) method. Nonlinear phenomena and resonances, including jumps, bifurcations, and primary, super-harmonic, and subharmonic resonances, are revealed. Different degrees-of-freedom of the system are considered, and bifurcations containing saddle-node, period-doubling, and Hopf bifurcations are observed. The period-doubling phenomena are characterized by phase-plane diagrams and Fourier spectra. The analytical results obtained by the IHB method match well with numerical integration.
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS
(2023)
Article
Engineering, Mechanical
Mahmoud Bayat, Monique Head, Livija Cveticanin, Paul Ziehl
Summary: This paper investigates the analytic solving procedure for a two degree of freedom oscillatory system using a high order Homotopy Perturbation Method (HPM). The method is shown to provide highly accurate solutions and is applicable to a wide range of vibration amplitudes, as demonstrated by comparison with other methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Acoustics
Wenxin Zhang, Yueli Chen
Summary: This paper compares the accuracy of the integral equation method and the multiple scales method in solving the amplitude equation of multi-degree-of-freedom nonlinear vibration systems. Through three examples, it is shown that the analytical solutions obtained by the integral equation method are more closely aligned with the numerical solutions, indicating the potential popularity of this method in obtaining approximate analytical solutions for multi-degree-of-freedom nonlinear vibration systems.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Paolo Righettini, Roberto Strada, Filippo Cortinovis
Summary: This paper proposes a general procedure for the direct design of the servo axes of multi-degree-of-freedom machinery subject to mixed-load conditions and dynamic coupling between the mechanical joints. The procedure involves identifying loads, selecting PDS/transmission units, and analyzing the effect of transmission selection on torque and speed margins to complete the servo axes design.
Article
Engineering, Chemical
Wendi Wang, Zhen Liu, Mingrui Zhang, He Yang
Summary: In this paper, nitrogen adsorption measurement and low-field nuclear magnetic resonance methods are used to test the structural parameters of adsorption pores of different coal samples. It is found that the complexity of the pore size distribution increases with the increase in metamorphic degree. There is a positive correlation between the fractal dimension and the maximum adsorption capacity of N-2.
Article
Materials Science, Multidisciplinary
Baiyang Shi, Jian Yang, Ji Wang
Summary: In this study, a newly proposed extended Galerkin method is used to investigate the dynamic response behavior of a generalized nonlinear dynamic system. The algebraic equations of vibration amplitudes are obtained through an integration of the weighted functions. The method is applicable to forced vibrations of nonlinear behavior and has been validated using the numerical Runge-Kutta method.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Energy & Fuels
Yi Xue, P. G. Ranjith, Yang Chen, Chengzheng Cai, Feng Gao, Xingguang Liu
Summary: Geological sequestration of CO2 is important for reducing global warming and achieving carbon neutralization. This study evaluates the effect of CO2 adsorption pressure on the mechanical properties of coal mass using experimental and analytical methods. An elastic damage model is established to describe the nonlinear stress-strain relationship of coal under CO2 adsorption. The results show that increasing adsorption pressure increases the risk of coal damage and fracturing, leading to a more complex fracturing process.
Article
Engineering, Mechanical
A. Bouma, R. Vasconcellos, A. Abdelkefi
Summary: Modeling and performance investigation is conducted on a three-degree-of-freedom piezoaer-oelastic system with freeplay and multi-segmented stiffness with and without impact. Results show that grazing and grazing/sliding bifurcations may be present, and the response is complex with several transitions as the wind speed is increased. An effective design is determined for a three-degree-of-freedom wing-based energy harvester by selecting the freeplay gap size and multi-segmented nonlinear stiffness in the pitch and control surface and the electrical load resistance.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Bowei Li, Wei-Chu Chuang, Seymour M. J. Spence
Summary: This research focuses on developing metamodeling strategies for rapid response evaluation of a class of nonlinear multi-degree-of-freedom (MDOF) structural systems using a combination of projection-based model order reduction with multi-input multioutput NARX models, overcoming significant difficulties encountered in practical MDOF systems when directly applying the NARX model approach.
JOURNAL OF ENGINEERING MECHANICS
(2021)
Article
Engineering, Mechanical
Meijie Geng, Huafeng Ding, Tao Ke, Wenjian Yang
Summary: This paper proposes a new approach for synthesizing power-split hybrid transmissions that makes use of previously synthesized planetary gear trains (PGTs), reducing computational complexity. A new topological graph is developed to bridge the gap between PGTs and power-split hybrid transmissions. The method can generate various types of multi-PGT hybrid transmissions while avoiding mechanical structural interference.
JOURNAL OF MECHANICAL DESIGN
(2023)
Article
Mathematics, Interdisciplinary Applications
Yue Shen, Chun-Hui He, Abdulrahman Ali Alsolami, Dan Tian
Summary: This paper investigates a vibration system with discontinuities and analyzes it using the energy conservation frame in a fractal time. A variational formulation is developed, and its periodic property is explained through the frequency-amplitude formulation. To address the discontinuity, a new frequency formulation using the golden average is proposed, and the method is validated by comparing the approximate and exact frequency values.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
S. Z. Feng, Y. C. Guo, Grzegorz Krolczyk, Xu Han, Atilla Incecik, Zhixiong Li
Summary: A computational approach is developed for multi-physics modelling of IGBT module, considering the coupling effect between electrical, thermal, and mechanical fields. The approach utilizes tetrahedral elements to construct an efficient IGBT model using the finite element method. The results demonstrate that the proposed approach achieves higher accuracy, convergence, and computing efficiency compared to popular methods, providing an efficient tool for the IGBT multi-physics coupling problem.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Mechanics
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin
Summary: This paper investigates the application potential of origami metamaterials in advanced deployable mechanisms, intelligent robots, and energy absorption devices. It embeds flexible joints with metamaterial properties into the origami metamaterial structure, enabling simultaneous geometric nonlinearity and joint stiffness nonlinearity. The nonlinear stiffness characteristics of this composite metamaterial are examined in detail.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Electrical & Electronic
Xiaoqiang Guo, Xinhua Liu, Xu Zhang, Grzegorz M. Krolczyk, Paolo Gardoni, Zhixiong Li
Summary: The powerful belt conveyor is crucial for coal mining transportation, and its stable operation is essential for efficiency. Machine vision-based damage detection systems are widely studied and deployed, but capturing high-quality images in the harsh underground coal seam environment is difficult. To solve this issue, an image denoising and enhancement approach based on invertible neural network (INN) is proposed. The proposed model, called denoising INN (DeINN), demonstrates excellent image denoising ability and outperforms existing methods.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Mechanical
Shiwei Liu, Gaoliang Peng, Zhixiong Li, Weihua Li, Kang Jin, Hongzhao Lin
Summary: Inspired by the nonlinearity of origami cartons, a novel origami-inspired constant-force mechanism (OriCFM) is proposed. It adds equivalent springs at horizontal and oblique creases of the rigid origami mechanism to achieve a stable constant force output. The mechanical model is established based on geometric relationships, and the influence of structural parameters and spring stiffness on the constant force characteristic of the OriCFM is analyzed. Experimental results demonstrate the feasibility and effectiveness of the proposed mechanism.
MECHANISM AND MACHINE THEORY
(2023)
Article
Engineering, Multidisciplinary
Jiaxuan Leng, Paolo Gardoni, Mengmeng Wang, Zhixiong Li, Grzegorz Krolczyk, Shizhe Feng, Atilla Incecik, Weihua Li
Summary: Structural health monitoring (SHM) is regarded as a useful tool for managing and reducing safety risks in offshore wind farms. The jacket structures of offshore wind turbines are susceptible to damages from corrosion and fatigue in complex offshore environments. Effective SHM on jacket structures can significantly reduce operation risk and costs.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Mechanical
Yuanning Mao, Pietro Borghesani, Zhan Yie Chin, Robert B. Randall, Zhongxiao Peng
Summary: The key diagnostic information in gears is carried by gearmesh stiffness and geometric profile errors. These properties combine with rotations and displacements of the gear shafts to produce a time-varying gearmesh force, which then affects the system's dynamic response and leads to actual diagnostic measurements. Due to the complexity of the time-varying gearmesh force, closed form analysis has been impractical and time-domain simulations have been used instead. This paper proposes a matrix-based procedure to linearize the relationship between gear meshing properties and measurements, and uses this to study the diagnostic measurement of transmission error.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Multidisciplinary
Mengyu Ji, Gaoliang Peng, Sijue Li, Wentao Huang, Weihua Li, Zhixiong Li
Summary: With the rapid development of artificial intelligence, various fault diagnosis methods based on deep neural networks have achieved great progress in mechanical system safety monitoring. However, the large redundancy and structure uncertainty of the fault diagnosis networks, as well as the challenge of deploying these networks on embedded platforms due to the large scales of network parameters, hinder the practical application of intelligent diagnosis algorithms. In this paper, an iterative automatic machine compression method called Iterative-AMC is proposed to address these issues. Experimental results demonstrate that the proposed method successfully compresses the scale of the original network and deploys the compressed fault diagnosis network on a small-scale FPGA chip.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Xiaoqiang Guo, Xinhua Liu, Paolo Gardoni, Adam Glowacz, Grzegorz Krolczyk, Atilla Incecik, Zhixiong Li
Summary: A novel conveyor belt damage detection method based on CenterNet is proposed in this paper, which utilizes a fusion of feature-wise and response-wise knowledge distillation to balance performance and network size. The Fused Channel-Spatial Attention is introduced to compress the latent feature maps efficiently, and Kullback-Leibler divergence is used to minimize the distribution distance between student and teacher networks. Experimental results show that the proposed lightweight object detection model achieves 92.53% mAP and 65.8 FPS. The proposed belt damage detection system demonstrates efficient and accurate detection of conveyor belt damages, indicating its high potential for deployment on end devices.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Lili Dai, Xu Zhang, Paolo Gardoni, He Lu, Xinhua Liu, Grzegorz Krolczyk, Zhixiong Li
Summary: To reduce safety accidents during coal mining, this paper proposes a large foreign object detection method based on machine vision. An adaptive weighted multi-scale Retinex (MSR) image enhancement algorithm is proposed to improve the image quality of the belt conveyor line. An improved multi-scale template matching algorithm is designed to screen and identify large foreign objects mixed in coals. The multi-layer perceptron (MLP) network optimized by the Gray Wolf algorithm is introduced for identification. Experimental results show that the identification accuracy reaches 98.8% for the large foreign objects. Furthermore, industrial field test is carried out in the Gaoyang coal mine, and the test results demonstrate that the identification accuracy of the proposed method is more than 95%. Hence, the proposed method meets the industrial detection requirements and can be used in practices for detecting large foreign objects.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Shizhe Feng, Qingjian Sun, Yang Wu, Xu Han, Zhixiong Li, Miguel Angel Sotelo
Summary: A thermal-structural-electromagnetic coupling model is proposed for the stochastic analysis of active phased array antenna performance. The model considers random material parameters and uses stochastic perturbation technique to analyze temperature distribution, thermal deformation, and electromagnetic performance. The results show that the model provides accurate stochastic multiphysics information and reduces computational cost compared to the Monte Carlo method.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Civil
Hai Wang, Le Tao, Yingfeng Cai, Long Chen, Yicheng Li, Miguel Angel Sotelo, Zhixiong Li
Summary: In this paper, a single-stage anchor-free 3-D object detector algorithm called CenterPoint-SE is proposed, which enhances the spatial perception ability of anchor-free detection networks based on CenterPoints. An efficient 3-D backbone network is constructed to extract fine-grained spatial geometric features, and a powerful spatial semantic feature fusion module called EF-Fusion is designed. Various improvements, including a lightweight IoU prediction branch and a foreground point segmentation auxiliary training branch, are added to enhance the algorithm's performance.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Industrial
Mengmeng Wang, Atilla Incecik, Shizhe Feng, M. K. Gupta, Grzegorz Krolczyk, Z. Li
Summary: A new digital twin (DT) framework with optimal sensor placement (OSP) is proposed, which accurately calculates the modal responses and identifies the damage ratios of offshore jacket platforms. The framework consists of an OSP model and a damage identification model. The OSP model optimizes the sensor number/location using the multi-objective Lichtenberg algorithm (MOLA) to balance the sensor cost and modal calculation accuracy. The damage identification model uses the Markov Chain Monte Carlo (MCMC)-Bayesian method to calculate the structural damage ratios based on modal information obtained from sensory measurements, considering the uncertainties of structural parameters. The method is validated using an offshore jacket platform, demonstrating efficient identification of structural damage location and severity.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Multidisciplinary
Xinhua Liu, Peng Qi, Patrick Siarry, Dezheng Hua, Zhenjun Ma, Xiaoqiang Guo, Orest Kochan, Z. Li
Summary: This paper proposes an improved multiscale neural network method for face recognition in underground coal mining to address the issues of overstaffing and incomplete information. Experimental results show that the proposed method can accurately recognize miners in harsh environments.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Kuosheng Jiang, Chengsong Zhang, Baoliang Wei, Zhixiong Li, Orest Kochan
Summary: The operating conditions of RV reducer are complex and the fault signal sample is small. An improved DNCNN denoising algorithm is proposed to realize the failure mode recognition of RV reducer, and experimental analysis shows its effectiveness.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Computer Science, Artificial Intelligence
Baiyi Wang, Zipeng Zhang, Patrick Siarry, Xinhua Liu, Grzegorz Krolczyk, Dezheng Hua, Frantisek Brumercik, Z. Li
Summary: The African vultures optimization algorithm (AVOA) has some shortcomings in solving complex problems. To address these issues, a nonlinear African vulture optimization algorithm (HWEAVOA) is proposed, which outperforms other algorithms in terms of convergence speed, optimization ability, and solution stability, according to experimental results.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
