haku: @journal_id 949 / yhteensä: 746
viite: 18 / 746
| Tekijä: | Kumar, S. A. Ravindra, H. V. Srinivasa, Y. G. |
| Otsikko: | In-process tool wear monitoring through time series modelling and pattern recognition (Ersatzteile; Replacement Management; Werkzeuge; Statistische Methode) |
| Lehti: | International Journal of Production Research
1997 : MAR, VOL. 35:3, p. 739-751 |
| Asiasana: | |
| Kieli: | eng |
| Tiivistelmä: | In modern machining, automatic in-process monitoring of the condition of cutting tool is an important capability of a machine tool. Although a variety of tool wear sensing techniques has been developed, a reliable in-process monitoring method has not evolved so far. This paper describes an in-process technique for monitoring the cutting tool condition in a turning process. An attempt has been made to extract maximum information from force/vibration signals during machining. Statistical methods are used to extract parameters which represent the state of the cutting process. |
SCIMA