Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates
Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates
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DOI：
10.1016/j.compositesb.2012.01.007
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发表时间：
2012-06-01
影响因子：
13.1
通讯作者：
Davim, J. P.
中科院分区：
文献类型：
--
作者：
Krishnaraj, Vijayan;Prabukarthi, A.;Davim, J. P.
高速加工现在被公认为是确保高生产率和生产能力的关键制造技术之一。碳纤维复合材料的钻削虽然是一项具有挑战性的任务，但在低主轴速度下成功地完成了钻削。然而，CFRP薄板的高速钻削还没有得到很好的探索。本文报道了用K20硬质合金钻头对CFRP薄板进行全析因设计的试验研究，通过改变钻削参数如主轴转速和进给速度来确定最佳的切削条件。所分析的孔质量参数包括孔直径、圆度、剥离分层和推出分层。对井眼质量参数进行方差分析，确定各参数的贡献率。将遗传算法(GA)方法应用于无缺陷钻进的多目标优化中(使用MatLab R2010a软件)，找出了无缺陷钻削的最佳切削条件。在优化的切削速度和进给量下，对K20硬质合金钻头进行了刀具寿命预测。(C)2012爱思唯尔有限公司。保留所有权利。
High speed machining is now acknowledged to be one of the key manufacturing technologies to ensure high productivity and throughput. Drilling of CFRP, though a challenging task, is being performed successfully at low spindle speeds. However high speed drilling in CFRP thin laminates has not been explored much. This paper reports an experimental investigation of a full factorial design performed on thin CFRP laminates using K20 carbide drill by varying the drilling parameters such as spindle speed and feed rate to determine optimum cutting conditions. The hole quality parameters analyzed include hole diameter, circularity, peel-up delamination and push-out delamination. Analysis of variance (ANOVA) was carried out for hole quality parameters and their contribution rates were determined. Genetic Algorithm (GA) methodology was used in the multiple objective optimization (using MATLAB R2010a software) to find the optimum cutting conditions for defect free drilling. Tool life of the K20 carbide drill was predicted at optimized cutting speed and feed. (C) 2012 Elsevier Ltd. All rights reserved.