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作者:Rong Bian , Ning He , Wenzheng Ding ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.92 (5-8), pp.2197-2206
摘要:... Further tests are also conducted to study the tool wear during a milling process. The tool wear characteristics are observed and tool wear mechanism is discussed. The results show that average surface roughness Ra below 70 nm can be achieved on the machined samples. The facto...
作者:Guoqing Zhang , Suet To
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (9-12), pp.3505-3515
摘要:Tool wear is a key factor affecting machined surface quality; numerous methods have been adopted to reflect tool wear features online. In the present research, workpiece modal frequencies were employed to present tool wear level in ultra-precision raster fly cutting (UPRFC) proce...
作者:Zhong Bo , Chen Xianhua , Pan Ri ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (9-12), pp.3653-3662
摘要:In order to figure out the effect of tool wear on the material removal process in bonnet polishing, an experimental study based on the comparison of removal characteristics of bonnet tools with various wear conditions is presented. Before the experiments, the tool surfaces were m...
作者:Behrang Hosseini Aghdam , Ender Cigeroglu
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (1-4), pp.1431-1442
摘要:Inverse problem of tool wear estimation using vibration signals is considered via non-stationary functional series time-dependent autoregressive moving average (FS-TARMA) model in this paper. The estimation procedure of FS-TARMA models is presented and through the obtained models...
作者:Jinsong Yu , Shuang Liang , Diyin Tang ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (1-4), pp.201-211
摘要:Tool wear is one of the important indicators to reflect the health status of a machining system. In order to obtain tool’s wear status, tool condition monitoring (TCM) utilizes advanced sensor techniques, hoping to find out the wear status through those sensor signals. In this...
作者:Dongdong Kong , Yongjie Chen , Ning Li
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.92 (5-8), pp.2853-2865
摘要:Tool wear monitoring system is of vital importance for the guarantee of surface integrity and manufacturing effectiveness. To overcome the weaknesses of neural networks, a new tool wear estimation model based on Gaussian mixture hidden Markov models (GMHMM) is presented. Nine typ...
作者:T. Zhao , J. M. Zhou , V. Bushlya ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (9-12), pp.3611-3618
摘要:Performance of cutting tool in hard turning is significantly influenced by its microgeometry, such as edge radius. This study presents an experimental exploration to understand the effect of cutting edge radius on machining performance in terms of surface roughness and tool wear...
作者:Y. Ayed , G. Germain , A. Pubill Melsio ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (1-4), pp.1199-1206
摘要:... Hence, the main objective of this study is to investigate the impact of these parameters on tool wear and surface integrity when machining the titanium alloy Ti-6Al-4V. Several nozzle diameters have been therefore employed in order to vary the pressure and the flow rate. A ne...
作者:Dongdong Kong , Yongjie Chen , Ning Li
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.92 (9-12), pp.3647-3657
摘要:This paper presents a new method for tool wear estimation in milling process by utilizing the hidden semi-Markov model (HSMM). HSMM differs greatly from the standard hidden Markov model (HMM) in state duration distribution. The model structure and corresponding parameters of HSMM...
作者:Sabrine Trabelsi , Anne Morel , Guenael Germain ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (5-8), pp.1493-1505
摘要:Titanium alloy is well known for its difficulty to machine, owing to the important “tool wear” phenomenon. Machining assistance is an interesting solution to lengthen the tool lifetime. In this study, we focused on the effect of cryogenic assistance—during machining of ...

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