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< Page ,Total 36 >
Influence of surface morphology and processing parameters on polishing of silicon carbide ceramics using femtosecond laser pulses SCIE Scopus
期刊论文 | 2023 , 36 | SURFACES AND INTERFACES
SCOPUS Cited Count: 10
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Abstract :

In this paper, silicon carbide (SiC) ceramics were polished using a high-frequency femtosecond laser (fs-laser). The influence of different laser incidence angles on the machined surface were investigated in detail, and the processing morphologies for different laser processing parameters were analyzed and optimized. The theoretical simulation and experimental results indicated that the original surface defects of pits prior to processing of the SiC surface remarkably affects the ablation effect. When fs-laser polishing at vertical incidence, the effect of light trapping occurred in the pits due to multiple reflections, enhancing the absorption of laser energy to enlarge the size of pits. The small incidence angle can eliminate the effects of light trapping in the pits and obtain the smooth surface of the material. In addition, the degree of oxidation and graphitization decrease significantly with a decrease of incidence angle. The optimal processing parameter combination under the incidence angle of 10 degrees, laser frequency of 100 kHz, scanning speed of 200 mm/s, single pulse energy of 60 mu J was obtained. The polished SiC ceramic exhibited a smooth, flat and pit-free surface with the average Sa of 0.187 mu m and Sz of 2.313 mu m. Finally, the formation of typical features such as pits, particles and debris deposition, was explained in detail. Our work provides new research ideas for understanding the polishing mechanisms concerning the removal of surface defects and depositions from the SiC ceramics.

Keyword :

Femtosecond laser Incidence angle Silicon carbide ceramics Surface defects Surface roughness

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GB/T 7714 Zheng, Qingzhen , Mei, Xuesong , Jiang, Gedong et al. Influence of surface morphology and processing parameters on polishing of silicon carbide ceramics using femtosecond laser pulses [J]. | SURFACES AND INTERFACES , 2023 , 36 .
MLA Zheng, Qingzhen et al. "Influence of surface morphology and processing parameters on polishing of silicon carbide ceramics using femtosecond laser pulses" . | SURFACES AND INTERFACES 36 (2023) .
APA Zheng, Qingzhen , Mei, Xuesong , Jiang, Gedong , Yan, Zhaoxuan , Fan, Zhengjie , Wang, Wenjun et al. Influence of surface morphology and processing parameters on polishing of silicon carbide ceramics using femtosecond laser pulses . | SURFACES AND INTERFACES , 2023 , 36 .
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Inductance Analysis of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor SCIE Scopus
期刊论文 | 2022 , 14 (6) | SYMMETRY-BASEL
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Abstract :

The inductance of a winding segmented permanent magnet linear synchronous motor (WS-PMLSM) is affected by winding disconnection and coupling length variation, which makes the variation of inductance more complicated, and this paper proposes incremental inductance, apparent inductance, and positional inductance to reveal this phenomenon, which gives a theoretical basis for mathematical modeling and thrust fluctuation suppression. First, an analytical approach is used to derive a fully coupled state model using the magnetomotive force and specific permeability function. Second, the domain of the specific permeability function is extended and the inductance expressions are calculated for the whole moving range. Finally, the inductance of the prototype WS-PMLSM with a two-phase winding is experimentally verified, and it is proposed that the effects of the three inductive components on the system should be considered comprehensively when implementing control of the WS-PMLSM.

Keyword :

inductance magnetomotive force specific permeability function winding segmented permanent magnet linear synchronous motor

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GB/T 7714 Zhang, Tuanshan , Mei, Xuesong . Inductance Analysis of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor [J]. | SYMMETRY-BASEL , 2022 , 14 (6) .
MLA Zhang, Tuanshan et al. "Inductance Analysis of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor" . | SYMMETRY-BASEL 14 . 6 (2022) .
APA Zhang, Tuanshan , Mei, Xuesong . Inductance Analysis of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor . | SYMMETRY-BASEL , 2022 , 14 (6) .
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Interfacial Behavior and Atomic Structures of Femtosecond Laser Self-Limiting Covalent Joining Carbon Nanotubes EI SCIE Scopus
期刊论文 | 2022 , 126 (31) , 13388-13398 | JOURNAL OF PHYSICAL CHEMISTRY C
SCOPUS Cited Count: 1
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Abstract :

The continuous miniaturization, integration, and intelligence of microelectronics are promoting the transformation of the micro/nanomanufacturing mode from the traditional top-down to bottom-up. Bottom-up manufacturing is essentially the assembly of smaller structural units such as atoms, molecules, nanoparticles, or wires into relatively large and complex structural systems, while the assembly process relies on reliable and efficient nanoconnections or interfacial contacts, which restricts the transformation process of nanofunctional materials to practical applications. Aiming at this purpose, the interfacial behavior and the atomic structures of self-limiting covalent joining carbon nanotubes (CNTs) by the femtosecond (fs) laser irradiation method were investigated. Experimental results show that the defects of CNTs are first reduced with the increase of the laser fluence. As the laser energy reaches 39.216 mJ/cm2, two CNTs in physical contact are successfully interconnected with covalent bonds with a small necking near the joint. The irradiation parameters of the fs pulse laser are obtained for the optimal connection of two separated CNTs. Molecular dynamics simulations reveal that how the two separated CNTs evolve into a covalent nanojunction dominated by sp2 bonds and that there is a high connection strength at the connection node. This covalent interconnection method, if further expanded, provides a potential support for realizing the atomic network reconfiguration and performance improvement of carbonbased functional nanomaterials and nanodevices.

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GB/T 7714 Mei, Huanhuan , Cui, Jianlei , He, Xiaoqiao et al. Interfacial Behavior and Atomic Structures of Femtosecond Laser Self-Limiting Covalent Joining Carbon Nanotubes [J]. | JOURNAL OF PHYSICAL CHEMISTRY C , 2022 , 126 (31) : 13388-13398 .
MLA Mei, Huanhuan et al. "Interfacial Behavior and Atomic Structures of Femtosecond Laser Self-Limiting Covalent Joining Carbon Nanotubes" . | JOURNAL OF PHYSICAL CHEMISTRY C 126 . 31 (2022) : 13388-13398 .
APA Mei, Huanhuan , Cui, Jianlei , He, Xiaoqiao , Lu, Yang , Sun, Xiaofei , Xu, Kaida et al. Interfacial Behavior and Atomic Structures of Femtosecond Laser Self-Limiting Covalent Joining Carbon Nanotubes . | JOURNAL OF PHYSICAL CHEMISTRY C , 2022 , 126 (31) , 13388-13398 .
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A Voronoi-Diagram-based method for centerline extraction in 3D industrial line-laser reconstruction using a graph-centrality-based pruning algorithm EI SCIE Scopus
期刊论文 | 2022 , 261 | OPTIK
SCOPUS Cited Count: 1
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Abstract :

Three-dimensional (3D) line-laser scanning is a widely used 3D reconstruction technique in the industry. As a key procedure of 3D line-laser scanning, centerline extraction of laser stripes directly determines the accuracy of reconstructed 3D models. Because of the noise inside laser stripes, centerline extraction methods based on the gray distribution may provide biased results. In order to address this problem, a Voronoi-diagram-based method (VM) for centerline extraction, which can extract centerlines accurately under severe noises, is proposed. To solve the emerging problems when the Voronoi diagram is applied to line-laser stripes, a fast pruning algorithm based on the distribution of graph centrality is proposed, and two centerline extension algorithms based on least square fitting are developed. The experiments are performed on synthetic images and a line-laser 3D scanner to evaluate the method's accuracy, robustness, and efficiency. The VM method is proved to have better accuracy and robustness than the traditional method. Simulation experiments show that the VM can extract centerlines from noisy images with an average accuracy of 0.35 pixels. Also, 3D reconstruction experiments of a phi 20-mm standard sphere demonstrate an average accuracy of 0.0282 mm. With four-thread acceleration, the proposed method can process images with a resolution of 2448 x 2048 pixels in 0.5 s. The accuracy and speed of the proposed method can be adjusted by changing the parameter related to the density of contour points, which makes this method flexible and widely applicable in applications with different requirements.

Keyword :

3D line-laser reconstruction Centerline extraction Graph centrality Pruning algorithm Voronoi diagram

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GB/T 7714 Chen, Cheng , Mei, Xuesong , Hou, Dongxiang et al. A Voronoi-Diagram-based method for centerline extraction in 3D industrial line-laser reconstruction using a graph-centrality-based pruning algorithm [J]. | OPTIK , 2022 , 261 .
MLA Chen, Cheng et al. "A Voronoi-Diagram-based method for centerline extraction in 3D industrial line-laser reconstruction using a graph-centrality-based pruning algorithm" . | OPTIK 261 (2022) .
APA Chen, Cheng , Mei, Xuesong , Hou, Dongxiang , Fan, Zhengjie , Huang, Wangwang . A Voronoi-Diagram-based method for centerline extraction in 3D industrial line-laser reconstruction using a graph-centrality-based pruning algorithm . | OPTIK , 2022 , 261 .
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Research on Detent Force Characteristics of Winding Segmented Permanent Magnet Linear Synchronous Motor Based on Analytical Model SCIE Scopus
期刊论文 | 2022 , 14 (5) | SYMMETRY-BASEL
SCOPUS Cited Count: 3
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Abstract :

The winding segmented permanent magnet linear synchronous motor (WS-PMLSM) has not only a general slotting effect but also a unique two-end effect caused by the segmented stator and the finite length passive mover, which makes the detent force of WS-PMLSM possess the qualities of all types of linear motors. This paper adopts a physics-based multiple analytical method to study the detent force properties. First, an accurate sub-domain model is used to obtain the magnetic field distribution of the tooth slot, and the results of the analytical solution and the graph of the tooth slot effect are obtained using the scalar magnetic potential. Subsequently, the effect of the end unenergized core on the magnetic field is analyzed using Maxwell's theory for the stator end effect, revealing that the end effect causes pulsating and reversing magnetic fields in the motor, which in turn creates mutual inductance with unequal phases, and generates thrust fluctuations. Finally, a complex relative air-gap permeability is introduced on the basis of the conformal mapping to equate the end effect generated by the permanent magnet. The accuracy of the proposed multiple analytical models was verified by the results of the finite element method (FEM) and experimental model.

Keyword :

accurate sub-domain model conformal mapping detent force slotting effect two-end effect winding segmented permanent magnet linear synchronous motor (WS-PMLSM)

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GB/T 7714 Zhang, Tuanshan , Mei, Xuesong . Research on Detent Force Characteristics of Winding Segmented Permanent Magnet Linear Synchronous Motor Based on Analytical Model [J]. | SYMMETRY-BASEL , 2022 , 14 (5) .
MLA Zhang, Tuanshan et al. "Research on Detent Force Characteristics of Winding Segmented Permanent Magnet Linear Synchronous Motor Based on Analytical Model" . | SYMMETRY-BASEL 14 . 5 (2022) .
APA Zhang, Tuanshan , Mei, Xuesong . Research on Detent Force Characteristics of Winding Segmented Permanent Magnet Linear Synchronous Motor Based on Analytical Model . | SYMMETRY-BASEL , 2022 , 14 (5) .
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Broad Learning System Based on Binary Grey Wolf Optimization for Surface Roughness Prediction in Slot Milling EI SCIE Scopus
期刊论文 | 2022 , 71 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
SCOPUS Cited Count: 8
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Abstract :

Surface roughness is considered to be one of the most significant indicators for evaluating machining quality. Manufacturing industries generally aim to achieve high product quality while considering reducing production costs and time. Therefore, an accurate and reliable surface roughness prediction model plays a key role in the production process. Recently, a broad learning system (BLS) has attracted great attention due to its outstanding performance. In order to improve the prediction accuracy of surface roughness and reduce the influence of uncertain factors, sensors are necessarily added to monitor the product processing. Consequently, the surface roughness data obtained in the actual machining process tends to have a small sample size and a high feature dimension. In addition, due to the structural characteristics of the BLS, its hidden layer neuron nodes often carry some irrelevant or redundant features during the training process, which affects the prediction performance of the model. To overcome these problems, this article proposes a novel BLS architecture for surface roughness prediction, in which binary grey wolf optimization (BGWO) is used for the selection of neurons in the hidden layer. To verify the effectiveness of the proposed method, a slot milling surface roughness experiment was performed and compared with other methods for different evaluation indicators. The results show that the proposed method provides an effective solution for surface roughness prediction.

Keyword :

Binary grey wolf optimization (BGWO) broad learning system (BLS) feature selection Neurons Optimization Predictive models Response surface methodology Rough surfaces slot milling surface roughness Surface roughness Surface treatment

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GB/T 7714 Tian, Wenwen , Zhao, Fei , Min, Chaoqing et al. Broad Learning System Based on Binary Grey Wolf Optimization for Surface Roughness Prediction in Slot Milling [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2022 , 71 .
MLA Tian, Wenwen et al. "Broad Learning System Based on Binary Grey Wolf Optimization for Surface Roughness Prediction in Slot Milling" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 71 (2022) .
APA Tian, Wenwen , Zhao, Fei , Min, Chaoqing , Feng, Xiaobing , Liu, Ri , Mei, Xuesong et al. Broad Learning System Based on Binary Grey Wolf Optimization for Surface Roughness Prediction in Slot Milling . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2022 , 71 .
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SVM-Based Optimizing Control of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor EI SCIE Scopus
期刊论文 | 2022 , 10 , 55176-55186 | IEEE ACCESS
SCOPUS Cited Count: 1
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Abstract :

This paper presents a space vector modulation (SVM) technique for a two-phase winding segmented permanent magnet linear synchronous motor (WS-PMLSM). First, the advantages of the two-phase WS-PMLSM are discussed, the parameters related to the WS-PMLSM mathematical model are analyzed, and the SVM is applied to the implementation of the WS-PMLSM two-phase sinusoidal voltage inverter. Next, a feedforward implementation method is proposed considering the regularity characteristics of the mover cross-zone operation. Finally, in order to improve the smoothness of operation, an optimal calculation of the current values of each section according to the coverage is proposed, and an optimal control method is implemented by establishing an optimal efficiency model. The experimental results prove the effectiveness of the proposed method.

Keyword :

Brushless motors Couplings Inductance mover operation across sections optimal control method Permanent magnet motors Permanent magnets Space vector modulation (SVM) Stator windings two-phase linear synchronous motor Windings winding segmented permanent magnet linear synchronous motor (WS-PMLSM)

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GB/T 7714 Zhang, Tuanshan , Mei, Xuesong , Du, Xin . SVM-Based Optimizing Control of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor [J]. | IEEE ACCESS , 2022 , 10 : 55176-55186 .
MLA Zhang, Tuanshan et al. "SVM-Based Optimizing Control of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor" . | IEEE ACCESS 10 (2022) : 55176-55186 .
APA Zhang, Tuanshan , Mei, Xuesong , Du, Xin . SVM-Based Optimizing Control of Two-Phase Winding Segmented Permanent Magnet Linear Synchronous Motor . | IEEE ACCESS , 2022 , 10 , 55176-55186 .
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Oxygen-Tuned Na3V2(PO4)2F3-2yO2y (0 < y < 1) as High-Rate Cathode Materials for Rechargeable Sodium Batteries EI SCIE Scopus
期刊论文 | 2022 , 5 (12) , 15799-15808 | ACS APPLIED ENERGY MATERIALS
SCOPUS Cited Count: 10
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Abstract :

The abundant reserves of sodium resources and its low price make the desire to build energy storage systems on room-temperature rechargeable sodium batteries. The current challenge exists in exploring high-performance key materials, especially cathode materials. Vanadium-based phosphates have attracted extensive attention as a class of promising cathode materials for sodium batteries due to their stable structure, large capacity, and high voltage advantages. In this paper, sodium vanadium oxyfluorophosphate, Na3V2(PO4)2F3-2yO2y (0 < y < 1), is exploited to improve its electrochemical performance through oxygen tuning. The effect of oxygen amount on the structure, morphology, and performance is comprehensively and comparatively investigated. It is found that the optimal electrochemical performance is achieved in Na3V2(PO4)2F2O when y = 0.5. Its specific discharge capacity at 0.1, 0.5, 1, 8, and 20 C is 125, 111, 101, 71, and 58 mA h g-1, respectively. The superior rate performance and good cyclability are ascribed to the low impurity, mixed V3+/V4+ valence state, small particle size, suitable residual carbon coating, low charge transfer resistance, fast Na+ diffusion, and particularly the regulation of charge/discharge potentials as well as polarizations due to proper oxygen tuning.

Keyword :

energy storage multielectron redox oxygen amount sodium battery sodium vanadium oxyfluorophosphate

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GB/T 7714 Sun, Xiaofei , Wang, Zikang , Hu, Qiongdan et al. Oxygen-Tuned Na3V2(PO4)2F3-2yO2y (0 < y < 1) as High-Rate Cathode Materials for Rechargeable Sodium Batteries [J]. | ACS APPLIED ENERGY MATERIALS , 2022 , 5 (12) : 15799-15808 .
MLA Sun, Xiaofei et al. "Oxygen-Tuned Na3V2(PO4)2F3-2yO2y (0 < y < 1) as High-Rate Cathode Materials for Rechargeable Sodium Batteries" . | ACS APPLIED ENERGY MATERIALS 5 . 12 (2022) : 15799-15808 .
APA Sun, Xiaofei , Wang, Zikang , Hu, Qiongdan , Mei, Xuesong , Zhao, Yue , Ndahimana, Anastase et al. Oxygen-Tuned Na3V2(PO4)2F3-2yO2y (0 < y < 1) as High-Rate Cathode Materials for Rechargeable Sodium Batteries . | ACS APPLIED ENERGY MATERIALS , 2022 , 5 (12) , 15799-15808 .
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Interpolation-based virtual sample generation for surface roughness prediction SCIE Scopus
期刊论文 | 2022 | JOURNAL OF INTELLIGENT MANUFACTURING
SCOPUS Cited Count: 6
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Abstract :

Surface roughness is an essential technical indicator for the surface quality of machined parts and significantly affects the service performance of the products. Accurate prediction of the surface roughness in the machining process can play an important role in reducing costs and increasing efficiency. However, data-based methods often require a large sample size for model training to improve prediction accuracy. Obtaining a sufficient number of training samples is challenging due to cost and efficiency constraints. To this end, an interpolation-based virtual sample generation scheme is proposed in this article, which utilizes a broad learning system (BLS) to generate virtual samples of the cutting groove surface roughness. Experimental verification was carried out in an ultra-precision machining center, where depth of cut and cutting speed were selected as inputs to the BLS. The results reveal that the proposed virtual sample generation approach can considerably improve the surface roughness prediction accuracy. Compared to other machine learning methods, BLS has the highest error reduction rate with and without virtual samples.

Keyword :

Broad learning system Surface roughness Ultra-precision machining Virtual sample generation

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GB/T 7714 Tian, Wenwen , Zhang, Jiong , Zhao, Fei et al. Interpolation-based virtual sample generation for surface roughness prediction [J]. | JOURNAL OF INTELLIGENT MANUFACTURING , 2022 .
MLA Tian, Wenwen et al. "Interpolation-based virtual sample generation for surface roughness prediction" . | JOURNAL OF INTELLIGENT MANUFACTURING (2022) .
APA Tian, Wenwen , Zhang, Jiong , Zhao, Fei , Feng, Xiaobing , Mei, Xuesong , Chen, Guangde et al. Interpolation-based virtual sample generation for surface roughness prediction . | JOURNAL OF INTELLIGENT MANUFACTURING , 2022 .
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A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method EI SCIE Scopus
期刊论文 | 2022 , 69 (7) , 7019-7028 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
WoS CC Cited Count: 9 SCOPUS Cited Count: 78
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Abstract :

State-of-health (SOH) is crucial to the maintenance of various kinds of energy storage systems, including power batteries. Relevant research articles are mostly based on battery external information, such as current, voltage, and temperature, which are susceptible to fluctuation and ultimately affects the SOH estimation accuracy. In this article, to solve these problems, a fast impedance calculation-based battery SOH estimation method for lithium-ion battery is proposed from the perspective of electrochemical impedance spectroscopy (EIS). The relationship between EIS and state of charge and that between EIS and degraded capacity is first studied by experimental tests. Some impedance features called health factors effectively indicating battery aging states are selected. Second, an improved fast Fourier transform (FFT) utilizing the conversion relationship between the real and complex signals is proposed to realize online fast EIS acquisition. Compared with ordinary FFT, such treatments reduce computational complexity. Then, the SOH evaluation model is built by the extreme learning machine with regularization mechanism, further reducing the computational burden. The relationship between the health factors and aging capacity of batteries is established. Finally, an experimental bench is established. The results indicate that the estimated SOH can be obtained within 35 s for a four-cell series-connected battery pack and the estimation errors are less than 2%.

Keyword :

Aging Batteries Electrochemical impedance spectroscopy (EIS) Estimation extreme learning machine (ELM) fast Fourier transform (FFT) fast impedance calculation Impedance Integrated circuit modeling Modeling State of charge state-of-health (SOH) estimation

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GB/T 7714 Fu, Yumeng , Xu, Jun , Shi, Mingjie et al. A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2022 , 69 (7) : 7019-7028 .
MLA Fu, Yumeng et al. "A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 69 . 7 (2022) : 7019-7028 .
APA Fu, Yumeng , Xu, Jun , Shi, Mingjie , Mei, Xuesong . A Fast Impedance Calculation-Based Battery State-of-Health Estimation Method . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2022 , 69 (7) , 7019-7028 .
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