新的超声波振动电源控制模型设计与应用
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TG244; TH13.1; TB559

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国家重点基础研究发展计划(“九七三”计划)资助项目(C2010CB731706)


The Design and Application of New Control Model for Ultrasonic Vibration Power Supply
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    摘要:

    设计了基于BP神经网络的超声波振动电源控制模型,并应用到新的超声波振动电源中。在730℃铝合金熔体铸造实验过程中,新的超声波振动电源输出频率为19.259 kHz~20.086 kHz,超声波平均振幅为15.93μm,输出功率为1.073 kW~1.203 kW,晶粒的平均尺寸为143.63μm,晶粒尺寸大小均匀。系统仿真与实验结果表明,使用新的超声波振动电源控制模型可以提高电源输出功率和频率的精度,有助于超声波振动电源的稳定工作,提高了铝合金的铸造质量。

    Abstract:

    How to ensure the stability of the output power and frequency of ultrasonic vibration power supply is a hot spot in the research of power supply technology. The design of ultrasonic vibration power supply control model based on BP neural network is applied to guarantee the stability of output frequency and power of ultrasonic vibration, and improve the working efficiency of ultrasonic aided casting system. Verified by the system simulation and experimental results, the output area of frequency of new ultrasonic vibration power supply is from 19.259 kHz to 20.086 kHz, the average amplitude of ultrasonic is 15.93 microns, and the area of output power is from 1.073 kW to 1.203 kW in the experiment of aluminum alloy melt casting under 730 Centigrade. Further, the average size of melt grain is 143.63 microns, and the grain size is uniformed. The results show that the new ultrasonic vibration power supply control model can improve the output power and frequency accuracy of power, which is helpful to the stability of ultrasonic vibration power supply and enhance the quality of aluminum alloy casting.

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  • 在线发布日期: 2017-09-03
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