基于灰色关联度分析的玻璃纤维增强复合材料钻孔工艺参数优化

IF 0.6 4区综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES

Chiang Mai Journal of Science Pub Date : 2022-09-30 DOI:10.12982/cmjs.2022.091

T. Ramanathan, Kannan Sithan, Subbarayan Ramanathan, Prakash Ramasamy

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引用次数: 1

摘要

结合响应面法和田口技术，对固体硬质合金钻头在玻璃纤维增强复合材料钻孔过程中的工艺参数进行优化研究。钻孔工艺参数包括切削速度、进给速度和棱角三个层次。根据这些钻井参数测量的响应如下:材料去除率，表面粗糙度，超大尺寸和分层系数。对响应进行了方差分析，并开发了回归方程并检查了其充分性。材料去除率的r平方值为99.40%，表面粗糙度的r平方值为96.81%，尺寸过大的r平方值为98.2%，分层系数的r平方值为96.46%，这些值都是可以接受的。并进行了田口灰色关联度分析，确定了灰色关联度系数并进行了排序。通过灰色关联分析确定了最优参数，并对实验结果进行了验证。

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Parametric Optimization In Drilling Process Parameters For Machining Of Glass Fibre Reinforced Composites Using Grey Relational Grade Analysis

The aim of the research is to optimize the drilling process parameters while drilling of glass fi bre reinforced composites using solid carbide drill by integrating response surface methodology and Taguchi technique. Drilling process parameters includes cutting speed, Feed rate and point angle with three levels. The responses measured against these drilling parameters are; material removal rate, surface roughness, oversize and delamination factor. The ANOVA analysis is carried out for the responses and the regression equations are developed and checked for its adequacy. The R-squared value for material removal rate is found to be 99.40%, for surface roughness is found to be 96.81% , for over size is found to be 98.2% and for delamination factor is found to be 96.46% and these values are acceptable. Also Taguchi grey relational grade analysis is carried and the grey relational coeffi cients are determined and they are ranked. The optimal parameter is fi nally determined using the grey relational analysis and the experiments are validated.

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来源期刊

Chiang Mai Journal of Science MULTIDISCIPLINARY SCIENCES-

CiteScore

1.00

自引率

25.00%

发文量

103

审稿时长

3 months

期刊介绍： The Chiang Mai Journal of Science is an international English language peer-reviewed journal which is published in open access electronic format 6 times a year in January, March, May, July, September and November by the Faculty of Science, Chiang Mai University. Manuscripts in most areas of science are welcomed except in areas such as agriculture, engineering and medical science which are outside the scope of the Journal. Currently, we focus on manuscripts in biology, chemistry, physics, materials science and environmental science. Papers in mathematics statistics and computer science are also included but should be of an applied nature rather than purely theoretical. Manuscripts describing experiments on humans or animals are required to provide proof that all experiments have been carried out according to the ethical regulations of the respective institutional and/or governmental authorities and this should be clearly stated in the manuscript itself. The Editor reserves the right to reject manuscripts that fail to do so.