Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model
Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model
复制标题
DOI：
10.1016/j.matdes.2008.03.014
复制
发表时间：
2008-10-01
影响因子：
8.4
通讯作者：
Davim, J. Paulo
中科院分区：
文献类型：
--
作者：
Karnik, S. R.;Gaitonde, V. N.;Davim, J. Paulo
碳纤维增强塑料（CFRP）是一种在航空航天工业中有着广泛应用前景的材料。分层是钻孔纤维增强复合材料的一个主要问题，它降低了材料的结构完整性。本工作的重点是分析分层行为作为一个功能的钻孔工艺参数在入口处的CFRP板。以主轴转速、进给速度和刀尖角度为影响参数，建立了高速钻削分层的人工神经网络模型。一个多层前馈神经网络架构，使用误差反向传播训练算法（EBPTA）训练。钻削实验是按照全析因设计进行的，使用硬质合金（K20级）麻花钻作为神经网络训练的输入输出模式。人工神经网络模型的验证，提出了培训和新的测试输入模式。验证的人工神经网络模型，然后使用生成的直接和交互作用的影响图，分析分层行为。仿真结果表明，所建立的人工神经网络模型能够有效地分析钻削工艺参数对分层因子的影响。分析还表明，在控制钻孔过程中的分层采用较高的速度的优势。(C)2008爱思唯尔有限公司保留所有权利。
The carbon fiber reinforced plastics (CFRP) are highly promising materials for the applications in aeronautical and aerospace industries. The delamination is a major problem associated with the drilling fiber reinforced composite materials, which reduce the structural integrity of the material. The present work focuses on the analysis of delamination behavior as a function of drilling process parameters at the entrance of the CFRP plates. The delamination analysis in high speed drilling is performed by developing an artificial neural network (ANN) model with spindle speed, feed rate and point angle as the affecting parameters. A multilayer feed forward ANN architecture, trained using error-back propagation training algorithm (EBPTA) is employed for this purpose. Drilling experiments are conducted as per full factorial design using cemented carbide (grade K20) twist drills that serve as input-output patterns for ANN training. The ANN model so developed is validated by presenting training and new testing input patterns. The validated ANN model is then used to generate the direct and interaction effect plots to analyze the delamination behavior. The simulation results illustrate the effectiveness of the ANN models to analyze the effects of drilling process parameters on delamination factor. The analysis also demonstrates the advantage of employing higher speed in controlling the delamination during drilling. (C) 2008 Elsevier Ltd. All rights reserved.