On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations

被引:191
作者
Hessainia, Zahia [1 ]
Belbah, Ahmed [1 ]
Yallese, Mohamed Athmane [1 ]
Mabrouki, Tarek [2 ]
Rigal, Jean-Francois [2 ]
机构
[1] May 8th 1945 Univ, Mech & Struct Res Lab LMS, Guelma 24000, Algeria
[2] Lyon Univ, CNRS, LaMCos, UMR5259,INSA Lyon, F-69621 Lyon, France
关键词
Hard turning; Ceramic tool; Surface roughness; Response surface methodology; Analysis of variance; BEARING STEEL; D2; PERFORMANCE; METHODOLOGY;
D O I
10.1016/j.measurement.2012.12.016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This research work concerns the elaboration of a surface roughness model in the case of hard turning by exploiting the response surface methodology (RSM). The main input parameters of this model are the cutting parameters such as cutting speed, feed rate, depth of cut and tool vibration in radial and in main cutting force directions. The machined material tested is the 42CrMo4 hardened steel by Al2O3/TiC mixed ceramic cutting tool under different conditions. The model is able to predict surface roughness of Ra and Rt using an experimental data when machining steels. The combined effects of cutting parameters and tool vibration on surface roughness were investigated while employing the analysis of variance (ANOVA). The quadratic model of RSM associated with response optimization technique and composite desirability was used to find optimum values of cutting parameters and tool vibration with respect to announced objectives which are the prediction of surface roughness. The adequacy of the model was verified when plotting the residuals values. The results indicate that the feed rate is the dominant factor affecting the surface roughness, whereas vibrations on both pre-cited directions have a low effect on it. Moreover, a good agreement was observed between the predicted and the experimental surface roughness. Optimal cutting condition and tool vibrations leading to the minimum surface roughness were highlighted. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1671 / 1681
页数:11
相关论文
共 32 条
[1]  
[Anonymous], P AMPT LAS VEG US JU
[2]  
[Anonymous], INT J MACHINE TOOLS
[3]   Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization [J].
Aouici, Hamdi ;
Yallese, Mohamed Athmane ;
Chaoui, Kamel ;
Mabrouki, Tarek ;
Rigal, Jean-Francois .
MEASUREMENT, 2012, 45 (03) :344-353
[4]   Model for surface topography prediction in peripheral milling considering tool vibration [J].
Arizmendi, M. ;
Campa, F. J. ;
Fernandez, J. ;
Lopez de Lacalle, L. N. ;
Gil, A. ;
Bilbao, E. ;
Veiga, F. ;
Lamikiz, A. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2009, 58 (01) :93-96
[5]   Experimental investigation of cutting tool performance in high speed cutting of hardened X210 Cr12 cold-work tool steel (62 HRC) [J].
Aslan, E .
MATERIALS & DESIGN, 2005, 26 (01) :21-27
[6]   State of the art in hard turning [J].
Bartarya, Gaurav ;
Choudhury, S. K. .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2012, 53 (01) :1-14
[7]   Turning of hardened 100Cr6 bearing steel with ceramic and PCBN cutting tools [J].
Benga, GC ;
Abrao, AM .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2003, 143 :237-241
[8]   Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool [J].
Bouacha, Khaider ;
Yallese, Mohamed Athmane ;
Mabrouki, Tarek ;
Rigal, Jean-Francois .
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS, 2010, 28 (03) :349-361
[9]   EXPERIMENTAL INVESTIGATION AND PERFORMANCE ANALYSES OF CBN INSERT IN HARD TURNING OF COLD WORK TOOL STEEL (D3) [J].
Bouchelaghem, H. ;
Yallese, M. A. ;
Amirat, A. ;
Mabrouki, T. ;
Rigal, J. F. .
MACHINING SCIENCE AND TECHNOLOGY, 2010, 14 (04) :471-501
[10]   A multi-spectrum analysis of surface roughness formation in ultra-precision machining [J].
Cheung, CF ;
Lee, WB .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2000, 24 (01) :77-87