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A review of the deformation mechanism and control of low stiffness thin-walled parts

CIRP Journal of Manufacturing Science and technology 2025年 60卷 322-355页

作者： Hongchang Sun Jiancheng Zhao Zhongpeng Zheng Yongxiang Jiang Xin Jin Sanpeng Deng Youliang Tang Xiaoxiao Zhang School of Mechanical Engineering Tianjin University of Technology and Education Tianjin 300222 China School of Mechanical and Vehicular Engineering Beijing Institute of Technology Beijing 100081 China Tianjin Intelligent Robot Technology and Application Enterprise Key Laboratory Tianjin 300222 China School of Mechanical Engineering Tianjin University of Science and Technology Tianjin 300222 China School of Mechanical and Electrical Engineering Suqian University Suqian 223800 China Jiangsu Province JMRH Innovation Platform for Research and Development of Titanium Matrix Composites for Aeroengines Suqian 223800 China

Thin-walled components, known for their lightweight and high-performance characteristics, hold significant strategic importance in industries such as aerospace, radar, and transportation. However, due to their inherently low stiffness—encompassing shear, bending, and torsional stiffness—these components are highly susceptible to deformation during machining. This deformation can adversely affect the geometric integrity and machining precision of the component, including dimensional accuracy, shape accuracy, and positional accuracy. Controlling the deformation of thin-walled components has thus become a critical research focus in recent years. This paper reviews the latest developments in the types of machining deformation, deformation mechanisms, and deformation control strategies for thin-walled components, aiming to equip readers with dynamic approaches for achieving high efficiency and precision in thin-walled component machining. The first section provides an overview of the definition, classification, and factors affecting the machining accuracy of thin-walled components. The second section discusses the mechanisms behind the deformation of thin-walled components, which result from a combination of multiple factors, including deformation caused by cutting forces, cutting temperature, residual stress, fixturing, and machining chatter. The third section reviews several methods for controlling deformation, including adaptive machining and error compensation, stability lobe diagrams and chatter suppression, deformation prediction and control, and energy field-assisted machining. These methods allow for the control and prevention of thin-walled component deformation before, during, and after machining. Finally, the paper summarizes the current challenges in thin-walled component machining and outlines future development trends. The research content and methods introduced in this paper, including theoretical analysis, experimental validation, and simulation analysis,

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IntML-KNN: A Few-Shot Radio Frequency Fingerprint Identification Scheme for Lora Devices

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IEEE Signal Processing Letters 2025年 32卷 2259-2263页

作者： Cao, Xin Tan, Weijie Gao, Qiangqiang Hu, Zhilong Li, Chunguo Guizhou University College of Computer Science and Technology Guiyang550025 China Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610025 China Ministry of Industry and Information Technology Laboratory of Cryptograph Application Technology Innovation and Testing Verification Beijing100015 China Southeast University School of Information Science and Engineering Nanjing210096 China

Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize radio frequency fingerprint identification. To address this issue, we propose a few-shot RFFI (FS-RFFI) method based on interpolating metric learning and KNN (IntML-KNN). Specifically, the method first extends the dataset with data augmentation, and CutMix interpolation. Secondly, combining with metric learning to enhance the generalization capacity of the model. Finally, KNN algorithm is designed to realize device classification and detection. The proposed IntML-KNN method is verified on the commercial available LoRa dataset. The experimental results indicate that the proposed scheme exhibits strong classification and generalization performance in FS-RFFI. Meanwhile, the recognition rate of the proposed IntML-KNN reaches 97.00% with only 10% samples. © 1994-2012 IEEE.

关键词： Deep learning

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A Finite-gap Port Model in SIE with CRWG Basis Functions for Radiation Analysis

A Finite-gap Port Model in SIE with CRWG Basis Functions for...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Yu-Rui Jia Qiang-Ming Cai Zi-Qiang Wu Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Yu-Teng Zheng Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

This paper presents a novel finite-gap port model of method of moments (MoM) solution for the surface integral equation (SIE), which is developed for the analysis of electromagnetic (EM) radiation from metallic structures. For the finite-gap port model, a small gap region is identified as a two-terminal port and the fields in the gap are linked to the voltage or current definition. Two conditions should be enforced. The one is the line integral of the electric field along straight paths in the gap being equal to the port voltage. The other is the current conducted into/out of the gap region being identical and equal to the port current. This port model is implemented by modifying the traditional MoM solution to use RWG basis at the gap as well as half RWG basis connected across the gap. Compared to the traditional delta-gap with RWG basis defined in a pair of triangles, this finite-gap port model with new test functions removes the connecting patch between two terminals, which results in more accurate in solving the port parameters of microstrip. Moreover, this scheme utilizes curved triangular patches for geometric modeling, and the curved Rao-Wilton-Glisson (CRWG) basis functions for surface current modeling to further improve computational efficiency. Several numerical results are provided to illustrate that in comparison with the conventional SIE for simulating S parameters of microstrip antennas, our scheme obtains higher solution accuracy, and requires much less memory and computational time. Thus, it demonstrates the accuracy and efficiency of this method for radiation analysis of metal radiative structures., etc.

关键词： Analytical models Solid modeling Accuracy Computational modeling Integral equations Geometric modeling Voltage

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A Non-destructive Metal Classification System Based on Magnetic Induction and Mutual Impedance Measurement

A Non-destructive Metal Classification System Based on Magne...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Ji Deng Jincheng Tang Feng Guo Qiang-Ming Cai Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo Zhejiang China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

This paper presents a non-destructive metal classification system, which is based on magnetic induction and mutual impedance measurement technology. The detection system mainly consists of a signal source, a power amplifier, an ADC acquisition module and a dual-coil sensor. In the dual-coil sensor, the primary coil is excited by low-frequency current, and it then produce a changing magnetic field. In the secondary coil, electromotive force is induced. The current and induced electromotive force are measured through ADC acquisition. And then, mutual impedance of the dual-coil sensor can be obtained by signal processing. The metal material, which is placed between the dual-coil sensor, can influence the measured mutual impedance, and this can be utilized in classification. A prototype was manufactured, and the measured and simulated results are also provided to demonstrate the validity of this non-destructive metal classification system. Additionally, for enhancing the robustness of the system, an RNN model is investigated to alleviate the influence of variations in metal material size.

关键词： Coils Magnetic field measurement Impedance measurement Current measurement Force Metals Prototypes

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Study on Shielding Efficiency of Metal Wire Mesh for Cable Joints

Study on Shielding Efficiency of Metal Wire Mesh for Cable J...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Quanfeng Jiang Qiang-Ming Cai Jincheng Tang Guangjin Lin Haiyan Guo Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

In this paper, the shielding effectiveness (SE) of metal wire mesh made of different materials, single and double mesh is studied. For engineering application, through theoretical calculation and simulation, the shielding efficiency of single-layer shielding brass wire mesh, single-layer shielding steel wire mesh, and double-layers shielding wire mesh constructed by one-layer brass wire mesh and one-layer steel wire mesh for cable joints is investigated. The results show that the SE of double-layers brass/steel wire mesh is higher than that of single-layer brass/steel wire mesh, with the same specification. In order to further illustrate this conclusion above, the shield of an energy storage converter is designed by using these wire meshes. It demonstrates that the double-layers of brass and steel wire mesh is suitable for shielding the electromagnetic fields of the connecting cable joints at low frequency, reducing or eliminating the electromagnetic interference.

关键词： Electromagnetic interference Wire Steel Electromagnetic fields Magnetic fields Joining processes Cable shielding

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A Hybrid Excitation Method of Finite-gap Port Model and Plane Wave in SIE for Electromagnetic Problems

A Hybrid Excitation Method of Finite-gap Port Model and Plan...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Qiang-Ming Cai Zi-Qiang Wu Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Yu-Teng Zheng Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

By combining finite-gap port model with the plane wave source, a hybrid excitation method in surface integral equation (SIE) is presented to solve the electromagnetic problems, e.g., scattering, radiation, and electromagnetic interference. Such as, this method can be applied in the radiation situation that a microstrip antenna is excited by a delt-gap voltage source, and is also illuminated external electromagnetic waves. In actual, this hybrid excitation model includes the radiation excitation model and scattering excitation model. Namely, for radiation excitation model, adopting the finite-gap port model, which includes current and voltage sources. Noted that a small gap region is identified as a two-terminal port and the fields in the gap are linked to the voltage or current definition. Two conditions are required to be enforced. One is the line integral of the electric field along straight paths in the gap being equal to the port voltage. The other is the current conducted into/out of the gap region being identical and equal to the port current. This port model is implemented by modifying the traditional method of moments (MoM) solution to use a novel divergence-conforming testing function at the gap as well as half-RWG basis functions connected across the gap. And the half-RWG basis functions are defined on the opposite edge triangles at the two-terminal. For the scattering excitation model, the plane wave model is adopted. Several numerical results are also provided to demonstrate that in comparison with the traditional SIE, the hybrid excitation method combined in SIE shows more flexible in complex electromagnetic problems, e.g., simulating interconnection and packaging circuit, nuclear radiation, and multiple antenna interference, etc.

关键词： Electromagnetic scattering Integral equations Voltage Microstrip antennas Mathematical models Numerical models Integrated circuit modeling

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Research on Background Electromagnetic Interference Suppression Method Based on MUSIC-LCMV Algorithm

Research on Background Electromagnetic Interference Suppress...

引用

Progress in Electromagnetic Research Symposium (PIERS)

作者： Quan Deng Qiang-Ming Cai Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Yu-Teng Zheng Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

Accurately extracting the electromagnetic radiation signal of the equipment to be tested from the environmental electromagnetic signal is one of the difficult problems that urgently need to be solved when conducting electromagnetic compatibility on-site testing. Virtual darkroom technology can accurately receive radiation information from the tested equipment in a noisy environment. However, there may be significant errors in the test results when there are strong interference signals. Based on the principle of spatial cancellation, this paper proposes a new method for suppressing background electromagnetic interference. This method combines the idea of simultaneously cancelling background noise in a virtual darkroom with the introduction of array signal processing, and uses beamforming as the operating mode to filter out background noise in on-site testing. This algorithm can overcome the shortcomings of traditional methods, that is, it does not need to assume that background noise is not related to the radiation signal of the tested equipment, the spatial distribution of background noise is uniform, and the signal-to-noise ratio is large. By providing less prior information or reference information of the on-site environment, good results can be achieved. Its core is high-precision direction of arrival estimation through multiple signal classification algorithm (MUSIC). After obtaining the direction of the signal, the Linear Constrained Least Variance (LCMV) algorithm is used to weight the signal received by each antenna. The weighted sum of each antenna suppresses background noise and preserves the radiation signal of the tested equipment intact. Finally, the correctness of this method was verified through an example.

关键词： Smoothing methods Graphical models Electromagnetic interference Signal processing algorithms Filtering algorithms Electromagnetic compatibility Classification algorithms

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An Optimizing Method for Parameters of Cavity Filter for Approximate Estimation of Class Curve Fitting

An Optimizing Method for Parameters of Cavity Filter for App...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Junliang Wan Qiang-Ming Cai Xin Cao Longjian Zhou Haoran Li Zhen-Yong Du Yixiang Li Yuyu Zhu Yu-Teng Zheng Bo Pu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China Chengdu Juji Millimeter Wave Technology Co. Ltd Chengdu China DeTooLIC Technology Co. Ltd Ningbo Zhejiang China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

In the design process of cavity filter, optimizing the geometric parameters of the cavity filter is a significant task. The electromagnetic field inside the cavity filter is difficult to calculate because of the complexity of filter structure, so the geometric parameters of the cavity filter cannot be directly calculated by mathematical formulas. In order to obtain the ideal S parameters of the filter, we often need to continuously optimize the geometric parameters in simulation software, which is a tedious task that usually takes a lot of time and is difficult to obtain the ideal S parameters. So it is necessary to adopt certain optimization algorithms. This article investigates a class curve fitting approximation estimation method to optimize the parameters of cavity filters. Due to the inability to obtain a mathematical expression for the mapping relationship between the geometric parameters of the cavity filter and the S parameters,polynomial functions is used to approach the mapping relationship between geometric parameters and S parameters of cavity filters. The algorithm samples values in a certain parameter range, obtaining the coefficients of the polynomial functions by solving matrix equations to obtain the approximation. The optimal solution within that parameter range is solved through the approximate function. A rectangular waveguide filter was designed in HFSS software and applied for parameter optimization. The ideal S parameters were obtained in a relatively short period of time. The advantage of this algorithm is that it can not only be used for parameter optimization alone, but also be combined with other optimization algorithms to improve the speed and efficiency of optimization. This algorithm is flexible to apply in optimization.

关键词： Software algorithms Estimation Filtering algorithms Programming Approximation algorithms Software Scattering parameters

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Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data

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Physical Review Letters 2025年第4期134卷 041001-041001页

作者： Xinning Zeng Zihao Bo Wei Chen Xun Chen Yunhua Chen Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MoE) Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai 200240 China New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 201210 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Department of Physics Yantai University Yantai 264005 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China

New particles beyond the standard model of particle physics, such as axions, can be effectively searched through their interactions with electrons. We use the large liquid xenon detector PandaX-4T to search for novel electronic recoil signals induced by solar axions, neutrinos with anomalous magnetic moment, axionlike particles, dark photons, and light fermionic dark matter. A detailed background model is established using the latest datasets with 1.54 ton yr exposure. No significant excess above the background has been observed, and we have obtained competitive constraints for axion couplings, neutrino magnetic moment, and fermionic dark matter interactions.

关键词： Magnetic moments

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Research on the Trajectory Tracking Control of a Swinging Spherical robot

Research on the Trajectory Tracking Control of a Swinging Sp...

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IEEE International Conference on Control and robotics Engineering (ICCRE)

作者： Guiyang Cui Haiyan Yang Kaifeng Xiong Hua Zhang Mingming Guo Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Southwest University of Science and Technology Mianyang China

The spherical robot was a kind of mobile robot which used the spherical shell to roll to realize its own motion. It had the characteristics of a small turning radius and omnidirectional motion. Besides the structure of the spherical robot was multitudinous, a kind of two degrees of freedom of the oscillating XK-II spherical robot was designed in this paper. Likewise, the motion principle and the structure of the XK-II spherical robot were introduced in this paper. The relation of speed vector projection and the description method of Euler Angle were used in the paper to establish the two inputs and five outputs kinematics equation of the XK-II type spherical robot. Then, the kinematics equation was solved by using the four order-five order Runge-Kutta algorithm, at the same time, the trajectory tracking controller of line, roundness, sinusoid and Lissajous figures were designed by combining PID. Finally, the kinematics model was validated by simulation and real experiment, and the trajectory tracking control of the spherical robot was realized effectively.

关键词： Nonlinear equations Trajectory tracking Kinematics Turning Angular velocity Trajectory Mathematical model

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