Aiming at the difficulties in detecting radial circular run-out error of coarse-grained super-abrasive wheels, a new detection method for wheels' circular run-out error is proposed, which is based on the organic combination of a slider component and a laser displacement sensor. This method can remove mechanical disturbances on the probes of traditional instruments from high hardness abrasive and rough surface topography of wheels, and avoid optical interference on the laser sensor from heterogeneous material and steep slope grains on the wheels' surface, which help realize the actual, stability, high efficiency, high precision detection for radial circular run-out error of coarse-grained super-abrasive wheels. A precision dressing experiment, aimed at electroplated CBN wheel whose grain size is 60/70, is carried out on CNC cylindrical grinding machine. This experiment adopted the cycle test program of quantitative dressing, wheel measurement, regular grinding, and specimen workpiece inspection, at the same time, the whole changes process of the wheel run-out error, grinding power, grinding surface quality, and wheel surface topography, are kept on track. The results showed that, the electroplated CBN grinding wheel has a good overall grinding effect, which makes wheel require little or no dress, when the initial run-out error of wheel is about 10-20 μm; when the maximum removal amount of the abrasive wheel surface highest area grains is within 1/5 of grains average diameter, the desired grinding wheel surface can be obtained by precise dressing; when the maximum removal amount of the abrasive wheel surface highest area grains is within 1/4 of grains average diameter, the better grinding effect cannot be achieved even the dressed wheel run-out error is well, which has no more grinding ability.
FENG Keming
,
SHI Chaoyu
,
ZHU Jianhui
,
ZHAO Jinzhui
. Experimental Research of Dressing Amount Control and Quality Evaluation on Monolayer Abrasive Grinding Wheel[J]. Journal of Mechanical Engineering, 2018
, 54(13)
: 225
-232
.
DOI: 10.3901/JME.2018.13.225
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