Optimization of laser sharpening parameters for diamond grinding wheel based on CNN

To optimize laser sharpening parameters for bronze diamond grinding wheels, the laser sharpening test was carried out on the bronze diamond grinding wheel using the orthogonal test method.The convolutional neural network (CNN) is used to identify the diamond abrasive grains at the pixel level. The protruding height of abrasive grains is obtained by extracting the area information of abrasive grains. Two laser sharpening quality evaluation indicators, the protruding height score and the optimal interval ratio, are obtained by using the statistical distribution law. The quality of the grinding wheel laser sharpening effect obtained by the test is evaluated by the evaluation index proposed and the range method is performed. The results show that the average power is the biggest factor affecting the quality of trimming. The optimal trimming process parameters are as follows: the average power is 35 W; the repetition frequency is 100 kHz; the rotational speed is 300 r/min; the scanning speed is 1.0 mm/min

Local atomic structure studies of Zr55Cu35Al10 alloy around T g

Abstract As a result of examining the structure of Zr55Cu35Al10 alloy around the glass transition temperature (T g ) using the classical molecular dynamics simulations, it was proven that the atomic bonds in the interconnecting zones (i-zones) became loose with the small amount of energy absorption, and it became free volumes easily when the temperature approached T g . Instead of i-zones, when clusters were largely separated by free volume networks, the solid amorphous structure was converted into supercooled liquid state, resulting in a sharp strength reduce and the great plasticity change from a limited plastic deformation to superplasticity

Media 1: Direct observation of keyhole characteristics in deep penetration laser welding with a 10 kW fiber laser

Originally published in Optics Express on 26 August 2013 (oe-21-17-19997

Media 3: Direct observation of keyhole characteristics in deep penetration laser welding with a 10 kW fiber laser

Originally published in Optics Express on 26 August 2013 (oe-21-17-19997

Media 2: Direct observation of keyhole characteristics in deep penetration laser welding with a 10 kW fiber laser

Originally published in Optics Express on 26 August 2013 (oe-21-17-19997

Media 4: Direct observation of keyhole characteristics in deep penetration laser welding with a 10 kW fiber laser

Originally published in Optics Express on 26 August 2013 (oe-21-17-19997

Development of CAM system for automatic compound dressing of superabrasive grinding wheels

In order to integrate various processes in composite dressing method more systematically and improve dressing efficiency of forming grinding wheel, a CAM system was developed by combining self-developed laser and mechanical composite dressing equipment. According to different grinding wheel section shapes, the system can automatically plan dressing trajectory under multi-process and multi-dressing strategy, calculate planar three-axis linkage dressing tool path, automatically generate machining code, and design visual interface to simulate machining process. The dressing experiment of bronze bonded diamond grinding wheel was completed. The results show that the system can generate laser rough repair, semi-finishing repair and mechanical finishing machining program without collision and overcutting, and greatly improve the programming efficiency of composite dressing method. After dressing, the grinding wheel profile error was within 9.1 µm and the runout error was 6.1 µm

Media 5: Direct observation of keyhole characteristics in deep penetration laser welding with a 10 kW fiber laser

Originally published in Optics Express on 26 August 2013 (oe-21-17-19997