Design optimisation of flank wear and surface roughness for CBN-TiN tools during dry hard turning of hot work die steel

被引：15
作者：
Dureja J.S. [1 ,4 ]
Gupta V.K. [1 ]
Sharma V.S. [2 ]
Dogra M. [3 ]
机构：
[1] Mechanical Engineering Department, University College of Engineering, Punjabi University, Patiala 147002, Punjab
[2] Department of Industrial and Production Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, 144011, Punjab
[3] Mechanical Engineering Department, Swami Sarvanand Giri Panjab University Regional Centre, Hoshiarpur, 146001, Punjab
来源：
International Journal of Machining and Machinability of Materials | 2010年 / 7卷 / 1-2期
关键词：
BBD; Box-Behnken design; CBN-TiN tool; Flank wear (VB); Response surface methodology; RSM; Surface roughness (Ra);
D O I：
10.1504/IJMMM.2010.029850
中图分类号：
学科分类号：
摘要：
In the present study, an attempt has been made to evaluate the performance of CBN-TiN tools during hard turning of hot work die steel. The modelling and optimisation of the flank wear and surface roughness has been made through response surface methodology (RSM) combined with Box-Behnken design (BBD) of experiments. The effect of machining parameters viz cutting speed, feed rate and workpiece hardness on the response factors viz flank wear and surface roughness were investigated by applying ANOVA and through factor interaction graphs in RSM. The experimental data points were observed to be best fitted by non-linear quadratic models. All the factors were found to be statistically significant in determining surface roughness while speed and feed were the dominant factors affecting flank wear. The confirmation experiments carried out to check the validity of developed models predicted response factors with less than 5% error. Scanning electron microscope accompanied with energy dispersive analysis through xs-ray characterised the tool wear conditions. The dominant wear mechanism observed at low speed was the 'abrasive' wear where as at high speed, 'adhesive' wear was dominant. Copyright © 2010 Inderscience Enterprises Ltd.
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收藏
页码：129 / 147
页数：18
相关论文
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