Through a set of electro-hydraulic digital valve as the core of the fuzzy control system to provide an appropriate amount of cooling fluid, the hard turning process temperature can be controlled at any set temperature. The use of the signal acquisition system based on virtual instrument, acquisition acoustic emission signals, vibration signals and temperature signals during the hard turning process. The temperature signal is processed by wavelet transform ,after vibration and acoustic emission signals be processed by wavelet packet decomposition and energy method, it is found that through providing appropriate cooling fluid can control temperatures in the processing and decrease the amplitude of vibration and acoustic emission signal, it also means that we can improve the quality of processing, and prolong the life of tool.

This paper introduces a kind of electric hot milling method for T10A tool steel and analyses its feasibility. Collect temperature signals and vibration signals in the machining process by a set of signal acquisition system. Afterwards, process these signals by using wavelet transform and wavelet packet transform, compare and analyze them in different working conditions. The results of the study indicate that through comparison between dry milling and electric hot milling, the latter can be more effectively milling tool steel, and improve the cutting tool durability.

This paper aims to collect the acoustic emission (AE), the vibration and the temperature signals produced in the hard dry milling of the die steel by using a signal collecting system based on multi-sensor and virtual instrument. Then the signals are processed by the wavelet transform and the wavelet packet transform. So we could pick up some regular pattern which could reflect the characteristic of the machining process from the results. The cutting parameters are set with single factor method and the experiment primarily focuses on researching the effect of changing the cutting parameters on the three signals mentioned forward. Through the experiment, some conclusions could be drawn as follow. In the process of the die steel’s hard dry milling, the spindle speed has a great effect on the AE signals. The temperature is mainly involved with the spindle speed and the depth of cut. The vibration signals have any clear pattern when the cutting parameter changes, but the energy of the vibration signals concentrate mostly on the first frequency band. Furthermore, the process of the hard milling is more stable.