scholarly journals Analysis of Preload of Three-Stator Ultrasonic Motor

Micromachines ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 5
Author(s):  
Zheng Li ◽  
Hui Zhao ◽  
Shuai Che ◽  
Xuetong Chen ◽  
Hexu Sun
Keyword(s):  
Dynamic Properties ◽  
Ultrasonic Motor ◽  
Vital Role ◽  
Stable Operation ◽  
Working Mechanism ◽  
Output Performance ◽  
Electric Machinery ◽  
Contact Models ◽  
Pressure Interval ◽  
Motor Structure

The pre-pressure device of the ultrasonic motor plays a vital role in the design of the entire motor structure, the contact state of the stator and rotor of the motor, dynamic properties of the stator, friction and wear characteristics of the rotor; even the mechanical behaviors of the entire electric machinery have a profound impact. Appropriate pre-pressure is conducive to the smooth operation of the ultrasonic motor, so that the output performance remains excellent, reducing wear and effectively extend the service life of the motor. Therefore, the research on pre-stress is of great significance, as it can better optimize the structure of the three-stator ultrasonic motor and lay the foundation for the stable operation of the motor. First, this paper introduces the construction of the motor as a whole and the pre-pressure device briefly described the working mechanism of the motor, and then introduces the influence of the pre-pressure on the stator and rotor contact models, the position of the constant velocity point, and the modal frequency. Finally, the motor output under different pre-pressures is discussed. The performance experiment has determined the optimal pre-pressure interval, which provides help for its subsequent optimization.

scholarly journals Design and Performance Evaluation of a Single-Phase Driven Ultrasonic Motor Using Bending-Bending Vibrations

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 853
Author(s):  
Dongmei Xu ◽  
Wenzhong Yang ◽  
Xuhui Zhang ◽  
Simiao Yu
Keyword(s):  
Single Phase ◽  
Oblique Line ◽  
Ultrasonic Motor ◽  
Vibration Modes ◽  
Bending Vibrations ◽  
Bending Vibration ◽  
Output Performance ◽  
Resonance Frequencies ◽  
And Performance ◽  
Line Trajectory

An ultrasonic motor as a kind of smart material drive actuator has potential in robots, aerocraft, medical operations, etc. The size of the ultrasonic motor and complex circuit limits the further application of ultrasonic motors. In this paper, a single-phase driven ultrasonic motor using Bending-Bending vibrations is proposed, which has advantages in structure miniaturization and circuit simplification. Hybrid bending vibration modes were used, which were excited by only single-phase voltage. The working principle based on an oblique line trajectory is illustrated. The working bending vibration modes and resonance frequencies of the bending vibration modes were calculated by the finite element method to verify the feasibility of the proposed ultrasonic motor. Additionally, the output performance was evaluated by experiment. This paper provides a single-phase driven ultrasonic motor using Bending-Bending vibrations, which has advantages in structure miniaturization and circuit simplification.

Improved energy conversion efficiency of the ultrasonic motor with surface texture

2018 ◽  
Vol 70 (9) ◽  
pp. 1729-1736 ◽  
Author(s):  
Xiaoliang Liu ◽  
Jinhao Qiu ◽  
Gai Zhao
Keyword(s):  
Energy Conversion ◽  
Conversion Efficiency ◽  
Surface Texture ◽  
Energy Conversion Efficiency ◽  
Ultrasonic Motor ◽  
Frictional Material ◽  
Content Type ◽  
Output Performance ◽  
Frictional Materials ◽  
Ptfe Composites

Purpose This paper aims to investigate the effect of frictional materials and surface texture on the energy conversion efficiency and the mechanical output performance of the ultrasonic motor (USM). Design/methodology/approach A newly designed testing system was set up to measure the mechanical output performance of the USM. The influence of different frictional materials on the output performance of the USM was studied under the same assembly process and parameters. The surface texture was fabricated by laser ablation processing. The effects of surface texture and input parameters on the energy conversion efficiency and mechanical output performance of the USM were studied. Findings The results show that polyimide (PI) composites as frictional material can significantly improve the output performance of the USM compared to polytetrafluoroethylene (PTFE) composites. When the pre-load is 240 N, the energy conversion efficiency of the USM using textured PI composites as frictional material can reach 41.93 per cent, increased by 29.21 per cent compared to PTFE composites, and the effective output range of the USM is increased to 0.7-1.1 N m. Besides, the pre-load and surface texture have a great influence on the output performance of the USM. Originality/value PI composites can improve the mechanical output performance of the USM. Surface texture can also improve the interface tribological properties and the energy conversion efficiency based on the advanced frictional materials, which will contribute to the increment of the output performance of the USM under the same input conditions.

Output performance simulation and contact analysis of traveling wave rotary ultrasonic motor based on ADINA

2019 ◽  
Vol 216 ◽  
pp. 15-25 ◽  
Author(s):  
Weihao Ren ◽  
Lin Yang ◽  
Chengcheng Ma ◽  
Xiaoniu Li ◽  
Jiaojiao Zhang
Keyword(s):  
Traveling Wave ◽  
Ultrasonic Motor ◽  
Contact Analysis ◽  
Performance Simulation ◽  
Output Performance

The Application of Correlation Recognizing Technology in Failure Prognostic System

2013 ◽  
Vol 475-476 ◽  
pp. 1534-1537
Author(s):  
Jie Zhan ◽  
Lin Niu ◽  
Jin Xin Huang ◽  
Jin Tao Cui
Keyword(s):  
Economic Loss ◽  
Indicator System ◽  
Vital Role ◽  
Stable Operation ◽  
Equipment Failure ◽  
Operating Personnel ◽  
Prognostic System ◽  
Fault Indicator ◽  
Testing Data ◽  
Role Based

In order to ensure the safe and stable operation of power grid and reduce the huge economic loss by equipment failure, Failure prognostic system plays a vital role. Based on distance correlation principle ,this paper proposes a method of failure prognostic. We analyze correlation between various factors influencing the equipment failure and failure from a large number of historical data. Then sets fault indicators by weight function. When online testing data are beyond the fault indicator ,system alarms. Then system prompts operating personnel to check equipments state. At last, through overheating fault of transformer case validates the effectiveness of the proposed method.

scholarly journals Fault Diagnosis of Reciprocating Compressor Valve Based on Transfer Learning Convolutional Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Fu-Yan Guo ◽  
Yan-Chao Zhang ◽  
Yue Wang ◽  
Pei-Jun Ren ◽  
Ping Wang
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Convolutional Neural Network ◽  
Transfer Learning ◽  
Recognition Rate ◽  
Vital Role ◽  
Stable Operation ◽  
Reciprocating Compressor ◽  
Gas Temperature ◽  
Label Prediction

Reciprocating compressors play a vital role in oil, natural gas, and general industrial processes. Their safe and stable operation directly affects the healthy development of the enterprise economy. Since the valve failure accounts for 60% of the total failures when the reciprocating compressor fails, it is of great significance to quickly find and diagnose the failure type of the valve for the fault diagnosis of the reciprocating compressor. At present, reciprocating compressor valve fault diagnosis based on deep neural networks requires sufficient labeled data for training, but valve in real-case reciprocating compressor (VRRC) does not have enough labeled data to train a reliable model. Fortunately, the data of valve in laboratory reciprocating compressor (VLRC) contains relevant fault diagnosis knowledge. Therefore, inspired by the idea of transfer learning, a fault diagnosis method for reciprocating compressor valves based on transfer learning convolutional neural network (TCNN) is proposed. This method uses convolutional neural network (CNN) to extract the transferable features of gas temperature and pressure data from VLRC and VRRC and establish pseudolabels for VRRC unlabeled data. Three regularization terms, the maximum mean discrepancy (MMD) of the transferable features of VLRC and VRRC data, the error between the VLRC sample label prediction and the actual label, and the error between the VRRC sample label prediction and the pseudolabel, are proposed. Their weighted sum is used as an objective function to train the model, thereby reducing the distribution difference of domain feature transfer and increasing the distance between learning feature classes. Experimental results show that this method uses VLRC data to identify the health status of VRRC, and the fault recognition rate can reach 98.32%. Compared with existing methods, this method has higher diagnostic accuracy, which proves the effectiveness of this method.

Study on Cavitation and Tribological of TiO2 Nano-Film on Bearing Pads Surface

2021 ◽  
Vol 21 (12) ◽  
pp. 5906-5911
Author(s):  
Juan Zhang ◽  
Donghui Li ◽  
Bo Zhang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Friction Coefficient ◽  
Protective Layer ◽  
Front Surface ◽  
Vital Role ◽  
Stable Operation ◽  
Discretization Method ◽  
Element Analysis

Bearings play a vital role in the operation of a two-axis system. Long-term bearing use inevitably produce bubbles and frictional damage. Therefore, the protection of bearings is critical for the stable operation of a two-axis system. In this study, a TiO2 nanofilm is used to physically protect a bearing. The discretization method is used to analyse the cavitation process. Cavitation primarily occurs on the front surface of the pad during bearing operation. A finite element analysis of a bearing pad coated and not coated with TiO2 nanofilms shows that TiO2 nanofilms can effectively absorb the cavitation force exerted on pads, thereby reducing inflicted damage. Moreover, the TiO2 nanofilm reduces the friction coefficient of the pad surface, promoting good bearing capacity of the bearing during rotation. The TiO2 nanofilm serves as a protective layer that improves the anti-wear and bearing performance of a two-axis system.

scholarly journals Transformer Condition Monitoring Technology Based on Surface Acoustic Wave Passive Wireless Sensing Antenna

2021 ◽  
Vol 257 ◽  
pp. 01085
Author(s):  
Zhenwei E ◽  
Dong Fu ◽  
Zhengzhi Yu ◽  
Yaqing Hu ◽  
Yu Nie
Keyword(s):  
Acoustic Wave ◽  
Surface Acoustic Wave ◽  
Condition Monitoring ◽  
Stable Operation ◽  
Working Mechanism ◽  
Monitoring Technology ◽  
Control Center ◽  
Operation And Maintenance ◽  
The Status ◽  
Maintenance Personnel

As the infrastructure for people’s production and life, the stable operation of power facilities is very important. As a key equipment in the operation of power facilities, transformers have become important power equipment for the daily maintenance of the power sector. In the past, electric power operation and maintenance personnel mostly used on-site visual inspection to preliminarily judge whether the transformer is operating normally. The disadvantage of this method is inaccuracy. A transformer condition monitoring technology based on a surface acoustic wave passive wireless intelligent sensing system is proposed to overcome the above shortcomings. Its working mechanism is to monitor the oil level, oil temperature and external ambient temperature of the cooling oil in the transformer in real time. Then, the operating status can be determined. The operating data is transmitted to the control center through the 4G network to help the operation and maintenance personnel to centrally monitor the status of the transformer, and then provide a pre-alarm function for abnormal conditions of the transformer.

EXPERIMENTAL RESEARCH ON GAS FOIL BEARINGS WITH POLYMER COATING AT AN ELEVATED TEMPERATURE

Tribologia ◽  
2016 ◽  
Vol 267 (3) ◽  
pp. 217-227 ◽  
Author(s):  
Grzegorz ŻYWICA ◽  
Paweł BAGIŃSKI ◽  
Artur ANDREARCZYK
Keyword(s):  
Polymer Coating ◽  
High Performance ◽  
Elevated Temperatures ◽  
Dynamic Properties ◽  
Point Of View ◽  
Stable Operation ◽  
Foil Bearings ◽  
Thin Foils ◽  
Wide Range ◽  
Micro Turbine

As demand for high-performance fluid-flow machines (including micro-turbines) increases across the globe, new non-conventional bearing systems are needed. In the last years, specialized technical solutions involving the use of gas foil bearings have been progressively introduced. The application of carefully selected, thin foils as key parts of foil bearings ensures stable operation of the rotor, which is supported by such bearings, even at very high rotational speeds. The article discusses the tests performed on the foil bearings incorporating a friction relieving polymer coating. The research was conducted on an advanced test rig allowing the experiments to be run at high speeds and elevated temperatures, which is in conditions that are typical for micro-turbine operation. The measurements of bearing components’ temperature and vibration levels were carried out at various rotational speeds. The tested bearings were also assessed from the point of view of wear and durability. Conducted research demonstrated that the carefully selected materials that were used to manufacture foil bearings’ key components have successfully contributed to achieving reliable operation within a wide range of rotational speeds, providing very good dynamic properties for the rotor.

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