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Research on the Relationship between Cutting Force and Machined Surface Quality in Micro Ball End-Milling of Potassium Dihydrogen Phosphate Crystal

机译:磷酸二氢钾晶体微球端铣削中切削力与加工表面质量关系的研究

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摘要

Potassium dihydrogen phosphate (KDP or KH2PO4) crystal is widely used as terminal frequency converters in inertial confinement fusion (ICF). However, KDP crystal is a typical difficult-to-cut optical crystal with the characteristic of soft-brittle. In this work, the relationship between cutting force and processed surface quality in micro ball end-milling of KDP crystal with various depth of cut and spindle speed is studied by carried out the micro-milling experiments. Fast Fourier Transform (FFT) algorithm is used to diagnose the recorded cutting force. The periodic change of cutting force and the cutting force after filtering noises can be got through FFT analysis. Through calculating the correlation coefficients between the static component of thrust force and roughness value Ra of machined grooves, as well as the peak-valley (P-V) value of thrust force and dimensional error of machined grooves, the roughness value Ra and dimensional error of machined grooves would be predicted by monitoring the static component and P-V value of the thrust force, respectively. The relatively large spindle speed helps to reduce the roughness value Ra. The spindle speed with moderate value is recommended to reduce the dimensional error of machined groove because the dimensional error of machined groove will increase when the spindle speed is small enough (causing brittle cutting) or large enough (reducing cutting stability).
机译:磷酸二氢钾(KDP或KH2PO4)晶体被广泛用作惯性约束聚变(ICF)的终端变频器。然而,KDP晶体是具有易碎特性的典型的难切割光学晶体。在这项工作中,通过进行微铣削实验,研究了KDP晶体在不同切削深度和主轴转速下的微球端铣削中切削力与加工表面质量之间的关系。快速傅立叶变换(FFT)算法用于诊断记录的切削力。通过FFT分析可以得到切削力的周期性变化和滤除噪声后的切削力。通过计算推力的静态分量与加工槽的粗糙度值Ra之间的相关系数,以及推力的峰值谷(PV)值与加工槽的尺寸误差,粗糙度值Ra和加工后的尺寸误差之间的相关系数分别通过监视推力的静态分量和PV值来预测沟槽。较大的主轴转速有助于减小粗糙度值Ra。建议使用适中的主轴转速以减小加工凹槽的尺寸误差,因为当主轴转速足够小(导致易碎切削)或足够大(降低切削稳定性)时,加工凹槽的尺寸误差会增加。

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