Estimating the remaining useful tool life of worn tools under different cutting parameters: A survival life analysis during turning of titanium metal matrix composites (Ti-MMCs)

被引:34
作者
Aramesh, M. [1 ]
Attia, M. H. [2 ]
Kishawy, H. A. [3 ]
Balazinski, M. [1 ]
机构
[1] Polytech Montreal, Dept Mech Engn, Montreal, PQ, Canada
[2] Natl Res Council Canada NRC, Aerosp Struct Mat & Mfg Lab, Montreal, PQ, Canada
[3] Univ Ontario, Inst Technol, Dept Mech Engn, Oshawa, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Tool life estimation; Worn tools; Survival analysis; SURFACE-ROUGHNESS; RELIABILITY; WEAR; PREDICTION; STRESS; MODELS;
D O I
10.1016/j.cirpj.2015.10.001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Utilizing the full tool life capacity of cutting tools has always been a concern, due to the considerable costs associated with suboptimal replacement of tools. Reliable reuse of worn inserts could significantly reduce machining costs. This study aims at estimating the remaining useful life of worn cutting inserts under multiple cutting parameters during turning of Ti-MMCs, using the actual tool wear value of the worn tool as the input data. A proportional hazards model with a Weibull baseline is developed. Maximum flank wear length at the transition point between the second and third state of tool wear is chosen as the failure criteria. Tool wear, cutting speed and feed rate are considered as the covariates of the model. The reliability and hazard functions are calculated from the model and are utilized to obtain the mean residual life of inserts under different cutting parameters and tool wear levels. The accuracy of the model is validated using experimental data. The results confirmed the validity and reliability of the model. (C) 2015 CIRP.
引用
收藏
页码:35 / 43
页数:9
相关论文
共 37 条
[1]   Prognostics for drilling process with wavelet packet decomposition [J].
Ao, Yinhui ;
Qiao, George .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 50 (1-4) :47-52
[2]  
Astakhov V.P., 2013, TRIBOLOGY MANUFACTUR, P1
[3]  
Astakhov VP, 2006, TRIBOL INTER ENG, V52, P1
[4]   HMMs for diagnostics and prognostics in machining processes [J].
Baruah, P ;
Chinnam, RB .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (06) :1275-1293
[5]   Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques [J].
Bhattacharyya, P. ;
Sengupta, D. ;
Mukhopadhyay, S. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (06) :2665-2683
[6]   Machining Ti-6Al-4V alloy with a wBN-cBN composite tool [J].
Bhaumik, SK ;
Divakar, C ;
Singh, AK .
MATERIALS & DESIGN, 1995, 16 (04) :221-226
[7]   CORRELATING TOOL WEAR, TOOL LIFE, SURFACE-ROUGHNESS AND TOOL VIBRATION IN FINISH TURNING WITH COATED CARBIDE TOOLS [J].
BONIFACIO, MER ;
DINIZ, AE .
WEAR, 1994, 173 (1-2) :137-144
[8]  
Cook RJ, 2007, STAT BIOL HEALTH, P1, DOI 10.1007/978-0-387-69810-6
[9]   TOOL WEAR MONITORING BASED ON CUTTING POWER MEASUREMENT [J].
CUPPINI, D ;
DERRICO, G ;
RUTELLI, G .
WEAR, 1990, 139 (02) :303-311
[10]   Surface Roughness Model Based on Force Sensors for the Prediction of the Tool Wear [J].
de Agustina, Beatriz ;
Maria Rubio, Eva ;
Angel Sebastian, Miguel .
SENSORS, 2014, 14 (04) :6393-6408