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Analysis Of Electromagnetic Noise Of Server Motor And Optimal Design Of Noise Reduction

Posted on:2024-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:C Y LiuFull Text:PDF
GTID:2542307094482504Subject:Mechanics (Professional Degree)
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Servo motor is a key power device that can achieve high-precision,highspeed,and high-performance operation of control equipment.It has a wide range of applications in industrial automation production,robotics,military medicine,and other fields.Its numerous performance advantages make it an indispensable and important component of modern automation systems.But at the same time,servo motors can generate sharp and persistent noise during operation,especially in servo motors used in secondary water supply equipment.The sharp and harsh motor noise can have a long-term impact on urban residents,restricting the further development of servo motors.In order to achieve ultra quiet operation of the entire equipment,studying the electromagnetic noise of servo motors and how to achieve noise reduction optimization design of servo motors has become an urgent problem that needs to be solved,and has important engineering practical significance.This article is based on the platform of the Shanxi Province Major Equipment Hydraulic Basic Components and Intelligent Manufacturing Engineering Research Center.The servo motor in the intelligent secondary water supply equipment of the Internet of Things is the research object,and its electromagnetic vibration and noise are analyzed.At the same time,methods to achieve noise reduction optimization design are discussed.The specific research content is:Firstly,the main noise source of the servo motor during operation was determined.Starting from the air gap magnetic density,the calculation formula for the radial magnetic density intensity of the air gap was derived in theory,and the harmonic expression of the radial electromagnetic force occurring in the air gap of the servo motor was obtained.The harmonic order of the radial electromagnetic excitation force inside the servo motor was calculated,and the conclusion that the order of the radial electromagnetic excitation force is an integer multiple of the number of magnetic poles of the motor rotor was obtained.Secondly,through finite element simulation,motor electromagnetic force analysis,motor modal analysis,motor harmonic response analysis,and motor acoustic module analysis were carried out in sequence.Explored the distribution of radial electromagnetic force in time and space,and validated the theoretical research section on electromagnetic noise of servo motors.Through a series of finite element simulations,the sound pressure level distribution maps under different speed conditions were finally obtained,and the reason for the sudden increase in noise generated by the servo motor during operation was found.Again,the theoretical noise reduction methods and their respective characteristics of various shock absorption and noise reduction materials were analyzed.Two types of shock absorption and noise reduction materials,carbon fiber composite material and honeycomb sandwich structure material,were selected to be laid on the surface of the servo motor casing for noise reduction optimization design.The influence of different structural parameters on the noise reduction effect of the two structural materials was explored,and it was found that selecting specific structural parameters would achieve the optimal solution for the noise reduction effect of the two structural materials.Finally,the electromagnetic vibration and noise of the servo motor were analyzed through experimental methods,demonstrating the effectiveness of shock absorption and noise reduction materials in optimizing the design of servo motor noise reduction.The influence of different structural parameters on the noise reduction effect of carbon fiber composite materials and honeycomb sandwich structures was verified.
Keywords/Search Tags:Servo Motor, Electromagnetic Noise, Multi-physical Field, Inherent Frequency, Optimization of Noise Reduction Structure
PDF Full Text Request
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