Grinding surface roughness predicting method and device under minimal lubrication of nanoparticle jet flow

Abstract

The invention relates to a grinding surface roughness predicting method and device under minimal lubrication of a nanoparticle jet flow. The device comprises a sensor lever, wherein a contact needle which is contacted with the surface of a grinding wheel is arranged at the left end of the sensor lever, and the right end of the sensor lever is connected with an inductive displacement sensor. The supporting point of the sensor lever is hinged with a measuring device body. The inductive displacement sensor is connected with an alternating current power supply. The data output end of the inductive displacement sensor is connected with a filter amplifier which is respectively connected with a calculator and an oscilloscope. The calculator is further connected with a memory. The shape of the grinding wheel is represented by a matrix, and the model precision predicted is high according to the surface shape creating mechanism of a grinding and machining piece, so that not only is measurement convenient, but also the device integrated rate is high and the utilization rate is high. The measuring precision is high and the reliability is good. The grinding surface roughness predicting method and device have actual guiding significance.

Description

technical field [0001] The invention relates to a method for evaluating the surface quality of workpieces in grinding processing, in particular to a method and device for predicting surface roughness of nano particle jet micro-lubricating grinding surfaces. Background technique [0002] At present, the grinding process uses a large amount of lubricants, also known as cast grinding, which is very harmful to the environment and workers' health. Due to the requirements of environmental protection, the waste liquid of lubricant must be treated and discharged after reaching the standard. Waste liquid treatment costs a lot, as high as 54% of the cost of lubricant, so people have to re-evaluate lubricant. Germany has conducted a survey on automobile manufacturers, and the result is that the tool cost only accounts for 2%-4% of the processing cost; but the cost related to lubricants accounts for 7%-17% of the cost, which is 3% of the tool cost. -5 times. Energy consumption in mach...

AI Technical Summary

Problems solved by technology

The surface roughness prediction models established above are all established under the conditions of a large number of assumptions, without considering that the abrasive grains on the surface of the grinding wheel are randomly distributed, and the abrasive grains are not all involved in the cutting work as assumed by the previous model. The model also does not consider the influence of grinding fluid, so the prediction accuracy of the surface roughness model is difficult to meet the actual needs of production

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