Experiment & Research On Ultra-precision Grinding Process Of Medical Piezoelectric Ceramics Slice

Since the Mile brothers discovered the piezoelectricity in 1880, the equipments of piezoelectricity have already been used in the sonar, ultrasonic, and sensor technique etc. With the development of science, the higher level has been requested in the fields of aviation and medical instrument. Especially on the medical ultrasonic sensor technique, Piezoelectron ceramics (PZT) as the core parts, because it has very strong and steady piezoelectric effect, PZT has been more important than before.Though piezoelectricity material has predominant performance than others materials, but it has distinct disadvantage, that's brittleness. At the same time processing is very difficultly, don't like the common material so easy. If we need use the excellent performance of piezoelectron ceramics, we must make it into some shape and dimension. So the research of machining technique for piezoelectron ceramics, especially the precision, ultra-precision machining technique has very important use value and prodigious realism significance.In this text: using handtailor ultra-thin diamond saw flake grinding wheel, a series of experiment in the ultra-precision grinding machine to the piece of piezoelectron ceramics. Using the data analysis method of orthogonal test--- intuitionistic analytical method. Through analysis surface roughness and the abrasion of grinding wheel drew the following conclusion.:â‘ The change of grinding parameter direct influence superficial quality, choose the reasonable grinding parameter may obtain the high grade quality machining surface ..â‘¡From analysis the used grinding wheel of experiment knows: The variation of the grinding parameter has little affection on the grinding wheel abrasion, which is mainly determined by the crystal parameter of material and grinding time.â‘¢Using the experimental result inferred the piezoelectron ceramics grinding surface roughness forecast model, and conducted the simulation research. Passed through analysis the simulation data and the experiment data, conform the accuracy of the forecast model.