Study of the surface roughness and optimization of machining parameters during laser-assisted fast tool servo machining of glass-ceramic

IF 2 3区 材料科学 Q2 ENGINEERING, MECHANICAL
Mingxu Fan, Xiaoping Zhou, Shunfa Chen, Shan Jiang, Jinzhou Song
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引用次数: 1

Abstract

Glass-ceramic is a typical hard and brittle material that is difficult to machine. In order to improve the surface quality of laser-assisted fast tool servo machining optical free-form surface of glass-ceramic, the effects of spindle speed, feed speed, piezoelectric frequency and laser power on the surface roughness were investigated. Firstly, the Taguchi method (TM) was used to establish the orthogonal experiment, and the contribution rate of each machining parameter to the surface roughness was obtained through variance and signal-to-noise ratio (S/N) analysis. The order of the influence degree of each parameter on the surface roughness is as follows: laser power > spindle speed > feed speed > piezoelectric frequency. The optimal machining parameter combinations obtained for the TM experiment are as follows: spindle speed 50 rpm, feed speed 0.01 mm rev−1, piezoelectric frequency 8 Hz, laser power 75 W. The range of surface roughness reduction obtained by comparing laser-assisted machining (LAM) with pure fast tool servo (FTS) machining is 38.75%∼58.77%. The Box-Behnken Design (BBD) in response surface methodology (RSM) was used to design experiments and a regression model for surface roughness was established through RSM. The deviation between the surface roughness predicted by the regression equation and the experimental value is less than ±6%. The influence law of various machining parameters on surface roughness was studied through three-dimensional response surface. RSM optimized the minimum surface roughness with a desirability of 99.43%. The optimal combination of machining parameters optimized through RSM is as follows: spindle speed 53.71 rpm, feed speed 0.02 mm rev−1, piezoelectric frequency 6.73 Hz, laser power 72 W. This paper is the first to combine LAM with FTS for machining optical free-form surface of glass-ceramic. This study provides a reference for laser-assisted fast tool servo machining and the research methods of surface quality.
激光辅助快速伺服刀具加工玻璃陶瓷表面粗糙度及加工参数优化研究
玻璃陶瓷是一种典型的硬脆材料,难以加工。为了提高激光辅助快速刀具伺服加工玻璃陶瓷光学自由曲面的表面质量,研究了主轴转速、进给速度、压电频率和激光功率对表面粗糙度的影响。首先,采用田口法(Taguchi method, TM)建立正交试验,通过方差分析和信噪比(S/N)分析得到各加工参数对表面粗糙度的贡献率;各参数对表面粗糙度的影响程度依次为:激光功率>主轴转速>进给转速>压电频率。TM实验得到的最佳加工参数组合为:主轴转速50 rpm,进给速度0.01 mm rev−1,压电频率8 Hz,激光功率75 W。通过比较激光辅助加工(LAM)与纯快速刀具伺服(FTS)加工获得的表面粗糙度降低范围为38.75% ~ 58.77%。采用响应面法(RSM)中的Box-Behnken设计(BBD)进行试验设计,并通过响应面法建立了表面粗糙度的回归模型。回归方程预测的表面粗糙度与实验值的偏差小于±6%。通过三维响应面研究了不同加工参数对表面粗糙度的影响规律。RSM优化后的最小表面粗糙度可达99.43%。通过RSM优化的加工参数最优组合为主轴转速53.71 rpm,进给转速0.02 mm rev−1,压电频率6.73 Hz,激光功率72 W。本文首次将LAM与FTS相结合用于玻璃陶瓷光学自由曲面的加工。该研究为激光辅助快速刀具伺服加工及表面质量的研究方法提供了参考。
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来源期刊
Surface Topography: Metrology and Properties
Surface Topography: Metrology and Properties Materials Science-Materials Chemistry
CiteScore
4.10
自引率
22.20%
发文量
183
期刊介绍: An international forum for academics, industrialists and engineers to publish the latest research in surface topography measurement and characterisation, instrumentation development and the properties of surfaces.
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