Article
Acoustics
Arjun Patel, Devang Kumar Talaviya, Mohit Law, Pankaj Wahi
Summary: This study presents a method to tune an absorber integrated within a rotating milling tool holder while considering its speed-dependent characteristics, aiming to improve chatter-free machining capability. By optimizing the absorber using this approach, a significant improvement in chatter-free machining capability is achieved compared to traditional methods.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Multidisciplinary
G. Totis, M. Sortino
Summary: Measuring cutting force when milling slender/thin-walled parts is challenging due to structural vibrations that cause inertial disturbances. Signal filtering is the only option to extend the dynamic bandwidth. Non-parametric filters are preferred as they are more practical. A novel non-parametric filter called Superior Optimal Inverse Filter was developed, outperforming existing filters in compensating for dynamics.
Article
Engineering, Mechanical
G. Totis, M. Sortino
Summary: High-end piezoelectric dynamometers with a wide frequency bandwidth are necessary for characterizing cutting mechanics during high-speed milling and micromilling applications. Current filters have limitations, prompting the development of a novel non-parametric filter that considers input force direction and location for improved results.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Yanlin Lyu, Muhammad Jamil, Ning He, Munish Kumar Gupta, Danil Yurievich Pimenov
Summary: A new strain-gauge-based dynamometer was designed and manufactured for high-frequency dynamic force measurement during milling. Dynamic identification tests were conducted, and a data acquisition system was devised to automatically obtain milling force data. An innovative model based on a conversion matrix was established to reduce the effects of cross-sensitivity and acting point of force. Experimental findings revealed that the new dynamometer is reliable for measuring high-frequency dynamic forces in milling at high rotational speeds.
Article
Engineering, Manufacturing
Muhammad Rizal, Jaharah A. Ghani, Husni Usman, Muhammad Dirhamsyah, Amir Zaki Mubarak
Summary: This study developed and tested a stationary dynamometer for measuring three axes of cutting force during milling operations. The force-sensing element was based on the Maltese cross-beam concept and improved for higher sensitivity and reduced interference. The prototype was evaluated through calibration tests, modal analysis, and real milling tests, proving its reliability and accuracy as an alternative to measure cutting force.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Chemistry, Applied
Xiaobing Li, Hongbo Li, Yanxin Zhang, Jing Li, Jingchun Lv
Summary: Researchers have developed textile-based high-performance flexible energy storage devices by coating conventional fabrics with polypyrrole. These fabric electrodes demonstrate high loading capacity and capacitive properties, and can be precisely divided using laser cutting techniques.
PROGRESS IN ORGANIC COATINGS
(2024)
Article
Engineering, Electrical & Electronic
Chang Yang, Rong Yu, Shanglei Jiang
Summary: In metal-cutting technology, accurate modeling and prediction of milling forces are important research areas. The mechanical model based on unit-cutting force coefficients is widely used due to its high prediction accuracy. However, the calibration of the cutting force coefficients faces challenges when dealing with peripheral milling with non-full radial depth of cut. To address this, a cyclic calibration method considering elastic deformation is proposed.
Article
Engineering, Multidisciplinary
Chang'an Zhou, Kai Guo, Jie Sun
Summary: This paper proposes an integrated wireless vibration sensing tool holder system for detecting triaxial vibration signals, which is shown to accurately distinguish tool wear status with an accuracy of 86.1% and identify current tool wear statuses through experiments.
Article
Chemistry, Analytical
Wandong Song, Jingjie Zhang, Guangchun Xiao, Mingdong Yi, Zhaoqiang Chen, Li Wang, Jun Chen, Chonghai Xu
Summary: Cutting force in lathe work is closely related to tool wear and affects the turning quality. Direct measurement of the cutting force by measuring the strain of the tool holder is challenging. The use of highly sensitive semiconductor strain gauges adjacent to the blade cutting insert was successfully applied to detect ultra-low strain on the tool holder, and a BP neural network was proposed to compensate for temperature drift errors, improving sensitivity and prediction accuracy while maintaining the original stiffness of the tool holder. The smart tool holder developed showed comparable performance with traditional dynamometers in cutting experiments, with a resolution of 2 N.
Article
Automation & Control Systems
Xi Chen, Zhao Zhang, Qi Wang, Dinghua Zhang, Ming Luo
Summary: This paper proposes a cutting force prediction method that takes into account the influence of the machine tool system and tool wear on milling force, thereby improving the accuracy of the prediction.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Congying Deng, Jielin Tang, Jianguo Miao, Yang Zhao, Xiang Chen, Sheng Lu
Summary: This paper introduces a transfer learning-based method for milling stability prediction. By measuring the tool tip FRFs of both the source tool-holder assembly and the target tool-holder assembly, and using the transfer learning method consisting of domain adaptation and adaptative weighting, a stability prediction model considering the overhang length is trained. Experimental results validate the feasibility of this method.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Fuji Wang, Lelin Yang, Yue Li, Jun Deng, Yongquan Lin, Qingsong He, Rao Fu
Summary: This study established a planning method for selecting the cutting tool feed direction in the low-damage surface milling of CFRP components by considering the changes in the tool edge and fiber action form. The optimal cutting tool feed direction range was determined to be 0° to -40° relative to the fiber ply direction of the final cutting layer to reduce damage during surface milling.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Tongshun Liu, Qian Wang, Weisu Wang
Summary: In this study, a nonlinear mechanistic cutting force model considering the comprehensive effect of cutting-edge radius and tool wear on the micro-milling force is constructed for micro-milling tool wear monitoring. A stepwise offline optimization approach is proposed to estimate the multiple parameters of the model. Experiments show that, compared with the linear model, the nonlinear model has significantly improved cutting force prediction accuracy and tool wear monitoring accuracy.
Article
Engineering, Manufacturing
Michael Gomez, Tony Schmitz
Summary: This paper describes the dynamic stability evaluation of a constrained-motion dynamometer with passive damping. The flexure-based design of the dynamometer offers an alternative to traditional piezoelectric cutting force dynamometers, which can be affected by complex structural dynamics. By applying passive damping, the viscous damping coefficient and stability limit of the dynamometer were significantly increased.
JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING
(2022)
Article
Automation & Control Systems
Tarik Zarrouk, Jamal-Eddine Salhi, Mohammed Nouari, Merzouki Salhi, Jalal Kodad
Summary: The manufacture of aluminum honeycomb structures is a major concern for the aerospace industry. The shaping of this type of structure poses technical challenges in terms of cutting tool wear and machined surface quality. Experimental studies are insufficient for understanding chip formation mechanisms at high rotational speeds. Therefore, a robust finite element model was developed to analyze cutting tool behavior and optimize machined surface quality.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Automation & Control Systems
Zhengyou Xie, Jianguang Li, Yong Lu
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2018)
Article
Automation & Control Systems
Zhengyou Xie, Jianguang Li, Yong Lu
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Automation & Control Systems
S. Q. Wang, J. G. Li, C. L. He, Z. Y. Xie
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2019)
Article
Automation & Control Systems
Zhengyou Xie, Yong Lu, Xinlong Chen
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2020)
Article
Engineering, Manufacturing
Pengfei Zhang, Dong Gao, Yong Lu, Zhengyou Xie, Zhiqi Wang
Summary: This paper presents the design and development of a split multi-axis toolholder dynamometer, which can accurately and reliably monitor cutting forces in milling and drilling operations.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Engineering, Aerospace
Xiang Liu, Hongyuan Wang, Xinlong Chen, Weichun Chen, Zhengyou Xie
Summary: This article proposes a position awareness network (PANet) for spacecraft pose estimation, which solves the problem of low estimation accuracy by extracting key points and constructing local structural descriptors. The matching matrix between point clouds is calculated to solve the pose using weighted singular value decomposition (SVD). Experimental results demonstrate that PANet outperforms state-of-the-art methods.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Computer Science, Information Systems
Zhengyou Xie, Xinlong Chen, Yajing Ren, Yangyang Zhao
Article
Engineering, Electrical & Electronic
Rashid Ali Laghari, Jianguang Li, Zhengyou Xie, Shu-qi Wang
Proceedings Paper
Engineering, Electrical & Electronic
Zhengyou Xie, Wenchao Dang, Yong Lu
PROCEEDINGS FIRST INTERNATIONAL CONFERENCE ON ELECTRONICS INSTRUMENTATION & INFORMATION SYSTEMS (EIIS 2017)
(2017)
Proceedings Paper
Automation & Control Systems
Yue Hao, Zhengyou Xie, Yong Lu
PROCEEDINGS OF 2016 SIXTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2016)
(2016)
Proceedings Paper
Computer Science, Artificial Intelligence
Zhengyou Xie, Jianguang Li, Yong Lu
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015)
(2015)
Proceedings Paper
Computer Science, Artificial Intelligence
Zhaoyang Zhang, Yong Lu, Zhengyou Xie
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015)
(2015)
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
