• Complex
  • Title
  • Author
  • Keyword
  • Abstract
  • Scholars
High Impact Results & Cited Count Trend for Year Keyword Cloud and Partner Relationship

Query:

学者姓名:陈雪峰

Refining:

Source

Submit Unfold

Co-Author

Submit Unfold

Language

Submit

Clean All

Export Sort by:
Default
  • Default
  • Title
  • Year
  • WOS Cited Count
  • Impact factor
  • Ascending
  • Descending
< Page ,Total 34 >
Multi harmonic and random stiffness excitation for milling chatter suppression EI Scopus
期刊论文 | 2019 , 120 , 777-792 | Mechanical Systems and Signal Processing
Abstract&Keyword Cite

Abstract :

© 2018 Elsevier Ltd In cutting process, as one of the most unfavorable factors, the regenerative chatter results in serious degradation of the part surface quality, tool life and machining efficiency. According to the previous research, single frequency stiffness excitation (SFSE) is able to suppress chatter vibration effectively, where the stiffness varies in sine, cosine, square and triangle waveforms. However, the real vibrations in milling process are very complex and the SFSE can vary just in simple forms without considering phase variation. In order to mitigate chatter more effectively, this paper proposed multi harmonic stiffness excitation (MHSE) and random stiffness excitation (RSE). Due to the existence of delay item, the stiffness excitation parameters cannot be optimized with analytic methods. Therefore, with regard to MHSE, the Fourier series is used to expand the function of stiffness variation and the genetic algorithm is employed to optimize the frequency, amplitude and phase. From SFSE to MHSE, the stiffness variation can also be extended to RSE, where the variation waveform seems periodic on the whole time domain but stochastic within one period. This function of stiffness excitation cannot be described by specific parameters; thus, the random walk methodology is implemented for random waveforms optimization. The optimized random waveform is used to guide the stiffness variation for increasing the stability lobe diagrams (SLD) and suppressing chatter vibration. The simulation results show that the SLDs with MHSE and RSE are higher than those under SFSE. Finally, the milling experiments are implemented on a three-axis milling machine to validate the optimized parameters on chatter suppression. Under stiffness excitation, the chatter frequency in milling process vanishes, which shows that the proposed method can suppress chatter effectively.

Keyword :

Genetic algorithm Milling chatter suppression Multi harmonic stiffness excitation Parameters optimization Random stiffness excitation Random walk methodology

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Wang, Chenxi , Zhang, Xingwu , Liu, Jinxin et al. Multi harmonic and random stiffness excitation for milling chatter suppression [J]. | Mechanical Systems and Signal Processing , 2019 , 120 : 777-792 .
MLA Wang, Chenxi et al. "Multi harmonic and random stiffness excitation for milling chatter suppression" . | Mechanical Systems and Signal Processing 120 (2019) : 777-792 .
APA Wang, Chenxi , Zhang, Xingwu , Liu, Jinxin , Yan, Ruqiang , Cao, Hongrui , Chen, Xuefeng . Multi harmonic and random stiffness excitation for milling chatter suppression . | Mechanical Systems and Signal Processing , 2019 , 120 , 777-792 .
Export to NoteExpress RIS BibTex
Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators EI Scopus
期刊论文 | 2019 , 120 , 808-835 | Mechanical Systems and Signal Processing
Abstract&Keyword Cite

Abstract :

© 2018 Elsevier Ltd Milling, as the most widely used processing method, plays an important role in advanced manufacturing. However, milling chatter has severely restricted the development of advanced manufacturing industry. Therefore, it is of great theoretical significance and application value to study the active control of milling chatter. This paper focuses on the design of robust controller for chatter suppression. At first, the milling dynamic equations with active control force are established and simplified with the approximate linear time-invariant model for robust controller design. Then, the perturbation modeling of modal parameters and milling parameters are built and analyzed. Based on the perturbation models, the control algorithm is designed. The numerical simulation in milling process verifies the effectiveness of the designed controller. In order to validate the practical effect, the flank milling and end milling tests are implemented, respectively. The experimental results show that the designed algorithm is able to suppress chatter greatly and lead to the better workpiece surface, which prove the effectiveness and robustness of the designed controller.

Keyword :

Milling chatter suppression Pade approximation Parameters perturbation Piezoelectric stack Robust active control Zero order Fourier expansion

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, Xingwu , Wang, Chenxi , Liu, Jinxin et al. Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators [J]. | Mechanical Systems and Signal Processing , 2019 , 120 : 808-835 .
MLA Zhang, Xingwu et al. "Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators" . | Mechanical Systems and Signal Processing 120 (2019) : 808-835 .
APA Zhang, Xingwu , Wang, Chenxi , Liu, Jinxin , Yan, Ruqiang , Cao, Hongrui , Chen, Xuefeng . Robust active control based milling chatter suppression with perturbation model via piezoelectric stack actuators . | Mechanical Systems and Signal Processing , 2019 , 120 , 808-835 .
Export to NoteExpress RIS BibTex
Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization EI
期刊论文 | 2019 , 55 , 268-274 | Precision Engineering
Abstract&Keyword Cite

Abstract :

As one of the most common obstacles in milling process, regenerative chatter will result in lessened productivity, poorer product surface finish and decreased cutting life of the tool. In order to suppress chatter, the spindle speed variation (SSV) has been proposed and researched for a long time. However, the previous researches mainly focus on the basic waveform variation, such as sine, cosine, square and triangular waveforms and didn't consider the effect of phase on milling stability, which weren't suitable to the complex and high spindle speed milling conditions. Based on the previous studies, this paper proposes the concept of multi harmonic spindle speed variation (MHSSV) including the phase factor for chatter suppression. The dynamic equations with MHSSV are derived to describe the milling process. Due to the existence of the milling period and the speed variation period, the least common multiple of these two periods is adopted as the Floquet period in semi-discretization method (SDM) for stability analysis. Because the speed variation function can be described by some finite parameters, the genetic algorithm is used to optimize these parameters in order to suppress chatter more effectively. As a result, the optimized milling process has higher stability limits, especially in the high speed zone, which validates the effectiveness of the multi harmonic spindle speed variation. In addition, the numerical simulation of milling process is implemented and verifies the correctness of the proposed method. © 2018 Elsevier Inc.

Keyword :

Chatter suppression Milling process Multiharmonic Parameters optimization Speed variations

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Wang, Chenxi , Zhang, Xingwu , Yan, Ruqiang et al. Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization [J]. | Precision Engineering , 2019 , 55 : 268-274 .
MLA Wang, Chenxi et al. "Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization" . | Precision Engineering 55 (2019) : 268-274 .
APA Wang, Chenxi , Zhang, Xingwu , Yan, Ruqiang , Chen, Xuefeng , Cao, Hongrui . Multi harmonic spindle speed variation for milling chatter suppression and parameters optimization . | Precision Engineering , 2019 , 55 , 268-274 .
Export to NoteExpress RIS BibTex
Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases EI SCIE Scopus
期刊论文 | 2018 , 29 (4) , 530-552 | JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
WoS CC Cited Count: 1
Abstract&Keyword Cite

Abstract :

The zeroth-order multiphysics finite-volume micromechanics has been proposed to model coupled thermo-electro-mechanical behaviors of unidirectional composites embedded with piezoelectric phases. Parametric mapping is implemented within the multiphysics finite-volume theory's framework, facilitating modeling of multiphase piezoelectric materials with complex microstructures with relatively coarse unit cell discretization. The resulting theory admits piezoelectric materials with complete anisotropy and arbitrary poling direction and enables rapid generation of the entire set of coupled thermo-mechanical, piezoelectric properties, figures of merits, as well as the local fluctuations of fields within the composite microstructures with greater fidelity than its predecessor. The proposed method is verified extensively by comparison with the finite-element homogenization technique, which produces an excellent agreement in a wide range of volume fractions but offers much better stability and efficiency. The contrast with the rectangular theory is also presented and discussed, demonstrating the advantage and the need for the development of parametric formulation. This extension further increases the finite-volume direct averaging micromechanics theory's range of applicability, providing an attractive standard for investigating multiphase and multiphysics problems with different microstructural architectures and scales against which other approaches may be compared.

Keyword :

homogenization Piezoelectric composites micromechanics thermo-electro-mechanical coupling finite-volume theory

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Chen, Qiang , Tu, Wenqiong , Liu, Ruonan et al. Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases [J]. | JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES , 2018 , 29 (4) : 530-552 .
MLA Chen, Qiang et al. "Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases" . | JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES 29 . 4 (2018) : 530-552 .
APA Chen, Qiang , Tu, Wenqiong , Liu, Ruonan , Chen, Xuefeng . Parametric multiphysics finite-volume theory for periodic composites with thermo-electro-elastic phases . | JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES , 2018 , 29 (4) , 530-552 .
Export to NoteExpress RIS BibTex
A damage localization method based on the singular value decomposition (SVD) for plates SCIE
期刊论文 | 2018 , 22 (5) , 621-630 | SMART STRUCTURES AND SYSTEMS
Abstract&Keyword Cite

Abstract :

Boundary effect and the noise robustness are the two crucial aspects which affect the effectiveness of the damage localization based on the mode shape measurements. To overcome the boundary effect problem and enhance the noise robustness in damage detection, a simple damage localization method is proposed based on the Singular Value Decomposition (SVD) for the mode shape of composite plates. In the proposed method, the boundary effect problem is addressed by the decomposition and reconstruction of mode shape, and the noise robustness in enhanced by the noise filtering during the decomposition and reconstruction process. Numerical validations are performed on plate-like structures for various damage and boundary scenarios Validations show that the proposed method is accurate and effective in the damage detection for the two-dimensional structures.

Keyword :

singular value decomposition damage localization plate

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Yang, Zhi-Bo , Yu, Jin-Tao , Tian, Shao-Hua et al. A damage localization method based on the singular value decomposition (SVD) for plates [J]. | SMART STRUCTURES AND SYSTEMS , 2018 , 22 (5) : 621-630 .
MLA Yang, Zhi-Bo et al. "A damage localization method based on the singular value decomposition (SVD) for plates" . | SMART STRUCTURES AND SYSTEMS 22 . 5 (2018) : 621-630 .
APA Yang, Zhi-Bo , Yu, Jin-Tao , Tian, Shao-Hua , Chen, Xue-Feng , Xu, Guan-Ji . A damage localization method based on the singular value decomposition (SVD) for plates . | SMART STRUCTURES AND SYSTEMS , 2018 , 22 (5) , 621-630 .
Export to NoteExpress RIS BibTex
Micromechanical modeling of plain woven polymer composites via 3D finite-volume homogenization EI SCIE Scopus
期刊论文 | 2018 , 39 (9) , 3022-3032 | POLYMER COMPOSITES
WoS CC Cited Count: 2 SCOPUS Cited Count: 4
Abstract&Keyword Cite

Abstract :

In this article, an anisotropic version of 3D finite-volume direct averaging micromechanics (FVDAM) has been developed, enabling efficient and accurate analysis of composites with woven reinforcements. The formulation is based on a local/global stiffness matrix procedure, with the equilibrium equations in conjunction with continuity of displacements and tractions imposed in an average sense. The present 3D FVDAM admits arbitrary anisotropic constituent materials, whereas the 2D FVDAM permits orthotropic subvolume materials at most. On this basis, an FVDAM-based two-step approach, which is expected to provide more accurate predictions than the traditional one-step homogenization, is employed to homogenize the repeating unit cell of a plain weave. The performance of the proposed method is assessed by comparison with other analytical, numerical, and experimental data found in literature. The generated results demonstrate that the FVDAM is capable of modeling plain woven polymer composites reasonably, making FVDAM an attractive alternative to other numerical and analytical techniques for analysis of composites with periodic internal microstructures. POLYM. COMPOS., 39:3022-3032, 2018. (c) 2017 Society of Plastics Engineers

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Chen, Qiang , Chen, Xuefeng , Yang, Zhibo et al. Micromechanical modeling of plain woven polymer composites via 3D finite-volume homogenization [J]. | POLYMER COMPOSITES , 2018 , 39 (9) : 3022-3032 .
MLA Chen, Qiang et al. "Micromechanical modeling of plain woven polymer composites via 3D finite-volume homogenization" . | POLYMER COMPOSITES 39 . 9 (2018) : 3022-3032 .
APA Chen, Qiang , Chen, Xuefeng , Yang, Zhibo , Zhai, Zhi , Gao, Jiajia . Micromechanical modeling of plain woven polymer composites via 3D finite-volume homogenization . | POLYMER COMPOSITES , 2018 , 39 (9) , 3022-3032 .
Export to NoteExpress RIS BibTex
Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles EI
期刊论文 | 2018 , 54 (19) , 58-69 | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
Abstract&Keyword Cite

Abstract :

The intelligent spindle possesses three major characteristics of processing state perception, decision-making and execution. It can realize self-feedback and self-control of machining status, which is the core component of intelligent manufacturing. It is the basic supporting technology for “Industrie 4.0” and “Made in China 2025” and the development direction for next-generation spindle technology. Condition monitoring, diagnosis and vibration control, as the typical embodiment of the three major functional features, are the core technologies for ensuring the efficient operation of intelligent spindles. Therefore, aiming at alleviating the problem of monitoring, diagnosis and vibration control of intelligent spindle, and with the monitoring, diagnosis and control of high-failure parts and failure modes as the clues, the current research status both at home and abroad is systematically summarized, the existing problems are concluded and the potential development trends are proposed. © 2018 Journal of Mechanical Engineering.

Keyword :

Current research status Development directions Development trends Functional features Intelligent Manufacturing Smart spindle Spindle technology Supporting technology

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Chen, Xuefeng , Zhang, Xingwu , Cao, Hongrui . Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles [J]. | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering , 2018 , 54 (19) : 58-69 .
MLA Chen, Xuefeng et al. "Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles" . | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 54 . 19 (2018) : 58-69 .
APA Chen, Xuefeng , Zhang, Xingwu , Cao, Hongrui . Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles . | Jixie Gongcheng Xuebao/Journal of Mechanical Engineering , 2018 , 54 (19) , 58-69 .
Export to NoteExpress RIS BibTex
Construction and Application of Multivariable Wavelet Finite Element for Flat Shell Analysis EI SCIE Scopus CSCD
期刊论文 | 2018 , 31 (4) , 391-404 | ACTA MECHANICA SOLIDA SINICA
Abstract&Keyword Cite

Abstract :

Based on B-spline wavelet on the interval (BSWI) and the multivariable generalized variational principle, the multivariable wavelet finite element for flat shell is constructed by combining the elastic plate element and the Mindlin plate element together. First, the elastic plate element formulation is derived from the generalized potential energy function. Due to its excellent numerical approximation property, BSWI is used as the interpolation function to separate the solving field variables. Second, the multivariable wavelet Mindlin plate element is deduced and constructed according to the multivariable generalized variational principle and BSWI. Third, by following the displacement compatibility requirement and the coordinate transformation method, the multivariable wavelet finite element for flat shell is constructed. The novel advantage of the constructed element is that the solving precision and efficiency can be improved because the generalized displacement field variables and stress field variables are interpolated and solved independently. Finally, several numerical examples including bending and vibration analyses are given to verify the constructed element and method.

Keyword :

Elastic plate Mindlin plate Multivariable B-spline wavelet on the interval Flat shell

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, Xingwu , He, Yanfei , Gao, Robert X. et al. Construction and Application of Multivariable Wavelet Finite Element for Flat Shell Analysis [J]. | ACTA MECHANICA SOLIDA SINICA , 2018 , 31 (4) : 391-404 .
MLA Zhang, Xingwu et al. "Construction and Application of Multivariable Wavelet Finite Element for Flat Shell Analysis" . | ACTA MECHANICA SOLIDA SINICA 31 . 4 (2018) : 391-404 .
APA Zhang, Xingwu , He, Yanfei , Gao, Robert X. , Geng, Jia , Chen, Xuefeng , Xiang, Jiawei . Construction and Application of Multivariable Wavelet Finite Element for Flat Shell Analysis . | ACTA MECHANICA SOLIDA SINICA , 2018 , 31 (4) , 391-404 .
Export to NoteExpress RIS BibTex
Artificial intelligence for fault diagnosis of rotating machinery: A review EI SCIE Scopus
期刊论文 | 2018 , 108 , 33-47 | MECHANICAL SYSTEMS AND SIGNAL PROCESSING
WoS CC Cited Count: 9
Abstract&Keyword Cite

Abstract :

Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of modern industrial systems. As an emerging field in industrial applications and an effective solution for fault recognition, artificial intelligence (AI) techniques have been receiving increasing attention from academia and industry. However, great challenges are met by the AI methods under the different real operating conditions. This paper attempts to present a comprehensive review of AI algorithms in rotating machinery fault diagnosis, from both the views of theory background and industrial applications. A brief introduction of different AI algorithms is presented first, including the following methods: k-nearest neighbour, naive Bayes, support vector machine, artificial neural network and deep learning. Then, a broad literature survey of these AI algorithms in industrial applications is given. Finally, the advantages, limitations, practical implications of different AI algorithms, as well as some new research trends, are discussed. (C) 2018 Elsevier Ltd. All rights reserved.

Keyword :

Support vector machine k-Nearest neighbour Deep learning Naive Bayes Fault diagnosis Artificial intelligence Rotating machinery Artificial neural network

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Liu, Ruonan , Yang, Boyuan , Zio, Enrico et al. Artificial intelligence for fault diagnosis of rotating machinery: A review [J]. | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2018 , 108 : 33-47 .
MLA Liu, Ruonan et al. "Artificial intelligence for fault diagnosis of rotating machinery: A review" . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING 108 (2018) : 33-47 .
APA Liu, Ruonan , Yang, Boyuan , Zio, Enrico , Chen, Xuefeng . Artificial intelligence for fault diagnosis of rotating machinery: A review . | MECHANICAL SYSTEMS AND SIGNAL PROCESSING , 2018 , 108 , 33-47 .
Export to NoteExpress RIS BibTex
Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition EI SCIE Scopus
期刊论文 | 2018 , 14 (10) , 4417-4430 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Abstract&Keyword Cite

Abstract :

This paper aims to unveil a collaborative sparsity structure for rigorously describing the universal self-similarity property of mechanical feature information, which is an important task in the field of adaptive feature recognition. The self-similarity pattern among all local feature segments is first highlighted by an elaborately designed partition strategy, and then a row-wise group sparsity penalty is enforced under an appropriate dictionary to effectively capture the latent self-similarity features from noisy observations. Incorporating dictionary learning techniques, a collaborative sparsity learning model (CSLM) is further proposed, and meanwhile solved by a nonconvex optimization solver generated from a block proximal gradient descend framework. Moreover, the convergence property and computational complexity of the developed solver are discussed comprehensively. The advantage of this model is to adaptively achieve a satisfying sparse level to concentrate the underlying feature information and simultaneously enforce that all segments share a same active atom set to retain the desired self-similarity pattern. The proposed CSLM is profoundly evaluated through implementing feature detection for wind turbine gearbox, and it shows superior performances to many state-of-the-art feature recognition techniques.

Keyword :

Collaborative sparsity feature detection dictionary learning wind turbine gearbox nonconvex optimization self-similarity

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Du, Zhaohui , Chen, Xuefeng , Zhang, Han et al. Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition [J]. | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2018 , 14 (10) : 4417-4430 .
MLA Du, Zhaohui et al. "Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition" . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 14 . 10 (2018) : 4417-4430 .
APA Du, Zhaohui , Chen, Xuefeng , Zhang, Han , Yan, Ruqiang , Yin, Wotao . Learning Collaborative Sparsity Structure via Nonconvex Optimization for Feature Recognition . | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS , 2018 , 14 (10) , 4417-4430 .
Export to NoteExpress RIS BibTex
10| 20| 50 per page
< Page ,Total 34 >

Export

Results:

Selected

to

Format:
FAQ| About| Online/Total:3503/50772143
Address:XI'AN JIAOTONG UNIVERSITY LIBRARY(No.28, Xianning West Road, Xi'an, Shaanxi Post Code:710049) Contact Us:029-82667865
Copyright:XI'AN JIAOTONG UNIVERSITY LIBRARY Technical Support:Beijing Aegean Software Co., Ltd.