Compiling Compression Load Spectrum of Servo Turret Based on Finite Element and Information Entropy Method

Bo Sun, Zhaojun Yang, Chuanhai Chen, H. Tian, Wei Hu, Xu Jia
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Abstract

The servo turret is a key component of the CNC lathe, and it is the most vulnerable component of a CNC lathe. We can find the weakness of the product by reliability test and improving the reliability. The load spectrum is a prerequisite for carrying out the reliability test. However, there are many small loads in the current load spectrum. These small loads have little influence on reliability. To shorten the test time and improve the test efficiency, the spectrum is recompiled to compress the load spectrum. In this paper, the cutting force is extrapolated in the time domain after processing. Then, the mean and magnitude of the load are counted by the rain flow counting method, and an eight-level load spectrum is compiled. At the same time, the finite element model of the servo turret was established, and experiments verified the model. The eight-level load spectrum is input into the established finite element model and the servo turret reliability test system, and the stress information and vibration information are obtained respectively. The load is classified by means of information entropy, and the compressive load spectrum is obtained by ignoring the light load.
基于有限元和信息熵法的伺服转塔压缩载荷谱编制
伺服转塔是数控车床的关键部件,也是数控车床最脆弱的部件。通过可靠性试验,发现产品存在的不足,提高产品的可靠性。载荷谱是进行可靠性试验的前提条件。然而,在当前的负载谱中存在许多小负载。这些小负荷对可靠性影响不大。为了缩短测试时间,提高测试效率,对谱进行重新编译,压缩负载谱。本文对加工后的切削力进行时域外推。然后,采用雨流计数法对负荷均值和量级进行计数,编制出8级负荷谱。同时,建立了伺服转塔的有限元模型,并进行了实验验证。将8级载荷谱输入到所建立的有限元模型和伺服转塔可靠性测试系统中,分别获得应力信息和振动信息。利用信息熵对载荷进行分类,忽略轻载荷得到压缩载荷谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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