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Erratum to "Computation of multi-rotor vibration phase under a single key phase measurement condition and its application in aero-engine" [Mech. Syst. Signal Process. 230 (2025) 112592] (Mechanical systems and Signal Processing (2025) 230, (S0888327025002936), (10.1016/***.2025.112592))

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Mechanical systems and Signal Processing 2025年 231卷

作者： Hu, Minghui Han, Baole Ge, Xiangdong Jin, Yaqiang Wang, Weimin Jiang, Zhinong State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing University of Chemical Technology Beijing100029 China Aero Engine Corporation of China Shenyang Aero-engine Institute Shenyang110042 China Qingdao Mingserve Technology Ltd. Qingdao266000 China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing100029 China

The publisher regrets that Fig. 21 was incorrect in the published article. The correct version of Fig. 21 should display as follows:[Figure presented] The publisher would like to apologize for any inconvenience caused...

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Research on optimization design method of actuator parameters with stepless capacity control system for reciprocating compressor

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high technology Letters 2020年第2期26卷 168-177页

作者： Zhou Chao Zhang Jinjie Sun Xu Wang Yao Compressor Health and Intelligent Monitoring Center of National Key Laboratory of Compressor Technology Beijing University of Chemical TechnologyBeijing 100029P.R.China State Key Laboratory of Compressor Technology Anhui Provincial Laboratory of Compressor TechnologyHefei 230031P.R.China Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-End Machinery Beijing University of Chemical TechnologyBeijing 100029P.R.China

Actuator and hydraulic system parameters have great influence on the performance,safety and reliability of the stepless capacity control system of reciprocating *** to the diversity and complex relationship of parameters,traditional parameters selected and calculated based on feasibility can’t make the system run efficiently,have limitations,and may have adverse effects on the system or ***,taking the spring stiffness of the actuator and the impact velocity of ejection,the inlet oil pressure of the hydraulic system,and the indicated power deviation of the compressor as objective functions,the multi-parameter and multi-objective optimization research of the actuator and hydraulic system with the stepless capacity control system based on non-dominated sorting genetic algorithm II(NSGA-II)is carried *** on fuzzy analytic hierarchy process(FAHP),the optimal solution is selected from the Pareto front,and compared with the traditional design value,the result is better than that obtained by the traditional design method.

关键词： reciprocating compressor stepless capacity control system non-dominated sorting genetic algorithm II(NSGA-II) fuzzy analytic hierarchy process(FAHP)

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Design and testing of the fuel cell twin-screw air compressor 5

Design and testing of the fuel cell twin-screw air compresso...

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2023 5th International Conference on Energy, Power and Grid, ICEPG 2023

作者： Geng, Maofei Jiang, Huijun Jin, Liqiong Cui, Dong Wang, Le State Key Laboratory of High-end Compressor and System Technology Hefei General Machinery Research Institute Co. Ltd Anhui Hefei230031 China

The oil-free dry air compressor plays a crucial role in the fuel cell system, particularly in commercial buses where twin-screw air compressors have proven effective. A novel rotor profile of the twin-screw dry air compressors has been developed, which simplifies the profile curve and yields excellent performance results with a volume flow of 11.99 m3/min and corrected specific power of 3.54 kW/(m3/min). © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Fuel cells

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Investigation of the Vibration Behavior of a Foil Thrust Bearing Housing Under Angular Disturbance of the Runner 2nd

Investigation of the Vibration Behavior of a Foil Thrust Bea...

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2nd International Conference of Mechanical system Dynamics, ICMSD 2023

作者： Chen, Rui Zhang, Chuanbing Cheng, Yongjun Wang, Bi Wang, Zixi State Key Laboratory of Tribology Tsinghua University Beijing China State Key Laboratory of High-End Compressor and System Technology Hefei China Laboratoy of Low Frequency Electromagnetic Communication Technology With the WMCRT CSSC Wuhan China

ISBN: (纸本)9789819980475

Foil thrust bearings are widely used in high-speed rotating machinery due to their temperature tolerance and contamination-free operation. However, the gas film thickness of the bearing can be weakened by the runner’s runout, which reduces the maximum load capacity of the bearing. To improve the load-carrying capacity of the bearing under runner’s runout, the angular stiffness and damping of the foil thrust bearing housing can be changed to provide angular tracking ability. However, this can result in resonance, which is detrimental to system stability and load-carrying capacity improvement. In this paper, the angular resonance behavior of the bearing housing was investigated theoretically. The results indicate that when the rotor speed is close to the critical speed, the bearing housing experiences angular resonance characterized by a sharp increase in motion amplitude and a sudden phase shift, leading to poor angular tracking ability. By adjusting the critical speed through changes in the angular stiffness, angular damping, and transverse moment of inertia, the angular resonance can be avoided for the bearing system. The results show that there is an optimal angular stiffness for the bearing housing that enables it to have maximum load. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Stiffness

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Effect of annealing temperature on microstructure and mechanical properties of Mg-Zn-Zr-Nd alloy with large final rolling deformation

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Journal of Central South University 2024年第6期31卷 1774-1789页

作者： ZHANG Jin-hai NIE Kai-bo ZHANG Jin-hua DENG Kun-kun LIU Zhi-long College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China State Key Laboratory of High-end Compressor and System Technology Hefei 230031China

In this study,the Mg-3Zn-0.5Zr-χNd(χ=0,0.6)alloys were subjected to final rolling treatment with large deformation of 50%.The impact of annealing temperatures on the microstructure and mechanical properties was *** rolled Mg-3Zn-0.5Zr-0.6Nd alloy exhibited an ultimate tensile strength of 386 MPa,a yield strength of 361 MPa,and an elongation of 7.1%.Annealing at different temperatures resulted in reduced strength and obviously increased elongation for both *** mechanical properties for the Mg-3Zn-0.5Zr-0.6Nd alloy were achieved after annealing at 200℃,with an ultimate tensile strength of 287 MPa,a yield strength of 235 MPa,and an elongation of 26.1%.The numerous deformed microstructures,twins,and precipitated phases in the rolled alloy could impede the deformation at room temperature and increase the work hardening *** annealing,a decrease in the work hardening effect and an increase in the dynamic recovery effect were obtained due to the formation of fine equiaxed grains,and the increased volume fraction of precipitated phases,which significantly improved the elongation of the ***,the addition of Nd element could enhance the annealing recrystallization rate,reduce the Schmid factor difference between basal and prismatic slip systems,facilitate multi-system slip initiation and improve the alloy plasticity.

关键词： Mg-Zn-Zr-Nd alloy large final rolling deformation annealing temperatures microstructures mechanical properties

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A Multi-Source Domain Generalization Method for Bearing RUL Prediction Based on Time-Variant and Time-Invariant Feature Extraction 5

A Multi-Source Domain Generalization Method for Bearing RUL ...

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5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Deng, Zhengyu Xu, Zhen Xu, Juan Chen, Xing Ren, Qile School of Computer and Information Hefei University of Technology Hefei China State Key Laboratory of High-end Compressor and System Technology Hefei China Co. Ltd Shanghai China

ISBN: (纸本)9798331529192

Deep learning-based remaining useful life (RUL) prediction methods have demonstrated significant advantages due to their powerful feature representation capabilities. Although existing learning models have made progress in distinguishing between the time-varying and time-invariant characteristics of vibration signals, challenges remain in fully capturing these aspects, which can hinder their generalization performance. To address this issue, we propose a domain generalization method based on the extraction of time-varying and time-invariant features, tailored to the characteristics of bearing vibration time series signals. Firstly, Fourier transform and inverse Fourier transform are employed to isolate high-frequency features, obtaining both time-varying and time-invariant signals. The time-varying signals are then processed using an attention mechanism to extract time-varying features and learn the bearing degradation trend. Concurrently, the time-invariant signals are fed into an encoder-decoder structure to extract their invariant features. Finally, both sets of features are input into a Gate Recurrent Unit (GRU) module for RUL prediction. Experimental results across three tasks demonstrate that our model achieves excellent generalization capabilities. © 2024 IEEE.

关键词： Inverse transforms

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Analyses of gas pulsation characteristics in the pipelines of a hydrogen diaphragm compressor 10

Analyses of gas pulsation characteristics in the pipelines o...

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10th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2024

作者： Xiao, Jun Geng, Maofei Yu, Yang Liu, Zhilong Liu, Xiaoming National Key Laboratory of High-end Compressor and System Technology Hefei General Machinery Research Institute Co. Ltd Hefei230031 China

ISBN: (纸本)9781510686243

A numerical method for calculating the gas pulsation in compressor pipelines based on the thermophysical properties of real gas has been developed. The one-dimensional flow dynamic equations for piping flow are derived under the condition of real gas working fluid. Given the pipeline element parameters and boundary conditions, the flow dynamic equations are discretized at the inner points of pipeline elements by the Lax-Wendroff scheme, and the characteristic equations are discretized at the boundary points by the trapezoidal integration scheme. Thereby the time-domain solution of flow data of pulsating gas at various pipeline locations is obtained. By developing the numerical analysis program, the calculations and analyses of gas pulsations in the interstage and exhaust pipelines of a two-stage hydrogen diaphgram compressor were performed. The pressure pulsation results agree well with the data calculated by PULS, and the relative magnitudes of different harmonic amplitudes are similar. The pressure pulsation level is highest at the outlet of the cylinder, and drops to the lowest level at the downstream snubber. Within a range of ± 10% of the rated speed, the pressure pulsations at various locations fluctuate with the change in rotational speed, and the peak-to-peak value of pressure pulsation is generally lower than 10% of the average pressure. An appropriate inner diameter of the expansion tube can minimize pressure pulsation in the pipeline. © 2024 SPIE.

关键词： Compressibility of gases

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Research Progress of Metal-Based Shielding Materials for Neutron and Gamma Rays

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Acta Metallurgica Sinica(English Letters) 2021年第12期34卷 1609-1617页

作者： Bin Gan Shichang Liu Zhen He Fucai Chen Haoxuan Niu Jingchang Cheng Bo Tan Bo Yu Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu610213China State Key Laboratory of Light Alloy Casting Technology for High-End Equipment Shenyang Research Institute of Foundry Co.Ltd.Shenyang110022China

The radiation generated by nuclear reaction is harmful to human body and equipment,thus the radiation shielding materials that employ the shielding ability from neutron and gamma rays are the best candidates according to application situations and radiation *** this paper,the researches of metal-based neutron and gamma rays or multiple purpose shielding materials are systematically summarized,and the respective and principal problems of these materials with respect to shielding effectiveness and other performances,such as corrosion,mechanical properties,manufacture,etc.,are ***,the prospect of shielding materials is outlined,which suggests that the development of highly efficient and multiply functional radiation shielding materials with good environmental compatibility is one of the future development trends.

关键词： Radiation shielding materials Metal-based Boron-containing shielding materials high density alloys

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Fault Diagnosis Algorithm Based on Lightweight Convolutional Neural Network

Fault Diagnosis Algorithm Based on Lightweight Convolutional...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Liu, Jiachen Du, Jiaxun Hao, Pengyuan Wang, Huaqing Kong, Dingjie Song, Liuyang School of Mechanical Engineering Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China

ISBN: (纸本)9783031494208

With the development of deep learning technology, many intelligent diagnosis algorithms applied to mechanical equipment operation and maintenance have emerged, but most of these models have complex structure and large amount of calculation, which limits their application prospects. This paper proposes a lightweight convolutional neural network model, which compresses network structure on the premise of ensuring the diagnostic accuracy, providing basis of construction of intelligent diagnosis system. Based on LeNet, the classical convolutional neural network, and the lightweight model Mobile Net, this network model is constructed for bearing fault diagnosis by using deep separable convolution and global average pooling methods. A fault diagnosis experiment of the constructed network was carried out to test diagnosis accuracy of this network and compare it with mainstream models. The experimental results show that the fault diagnosis network used in this paper obtains better diagnosis accuracy under the condition of greatly reducing the parameters. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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An Improved Initial Parameter Setting Method for Variational Time-Domain Decomposition

An Improved Initial Parameter Setting Method for Variational...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Li, He Zhang, Jiniie Jiang, Zhinong Mao, Zhiwei Beijing University of Chemical Technology Key Laboratory of Engine Health Monitoring Control and Networking Ministry of Education Beijing100029 China Beijing University of Chemical Technology State Key Laboratory of High-end Compressor and System Technology Beijing100029 China

ISBN: (纸本)9798350318012

Effectively decomposing vibration signals is crucial for identifying fault features and evaluating the performance of mechanical systems. Reciprocating mechanical vibration signals typically exhibit complex non-stationary and multi-impact characteristics, posing challenges in signal decomposition. Currently, in response to this issue, the Variational Time-Domain Decomposition (VTDD) method has been proposed to achieve outstanding adaptive impact separation in reciprocating mechanical vibration signals. However, VTDD has limitations in the initial parameter value settings, particularly when dealing with reciprocating mechanical signals under strong noise conditions, which result in slow convergence and less accurate decomposition. To address these limitations, this paper proposes an improved initial parameter value setting method based on a noise threshold-driven impact center estimation algorithm. This method preserves the impacts from vibration signals by estimating the noise threshold, then accurately estimates the number and positions of impacts, which is applied to replace the original VTDD parameter setting approach. Experimental results demonstrate that this improved method delivers excellent decomposition outcomes and applicability for both simulated and real mechanical vibration signals. In summary, by enhancing the initial parameter value setting, the VTDD method performance provides a more reliable tool for vibration signal analysis, especially in the challenging task of recognizing complex impact signals. © 2023 IEEE.

关键词： Domain decomposition methods

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