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基于HSV算法的弓片打磨工艺参数优化研究 |
Research on Optimization of Polishing Process Parameters of Bow Piece Based on HSV Algorithm |
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DOI:10.16018/j.cnki.cn32-1650/n.202402006 |
中文关键词: 正交试验 回归模型 HSV算法 工艺参数 |
英文关键词: orthogonal experiment regression model HSV algorithm process parameters |
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中文摘要: |
针对目前机器人打磨弓片存在少打、漏打、打磨不均等导致弓片打磨效果较差、效率较低等问题,通过搭建的机器人打磨平台进行正交试验,然后通过极差分析法、方差分析法确定复合弓片打磨的最优工艺参数为砂带线速度30 m/s、砂带目数240、工件速度40 mm/s;根据最优工艺参数运用多元非线性回归分析法建立表面亮度和磨削厚度的数学回归模型,并对该模型进行试验验证,发现其最大相对误差不超过11. 7%;最后利用机器人打磨测力平台对最优工艺参数下复合弓片打磨过程中的受力进行测试,发现最优打磨力为25 N,此时弓片表面胶层能够被完全清理,表面亮度为0. 44,完全符合生产要求。 |
英文摘要: |
Aiming at the problems of poor polishing effect and low efficiency caused by less punching, missing punching and uneven polishing of bow pieces by robots at present, orthogonal experiments were carried out on the robot polishing platform, and then the optimal technological parameters for polishing composite bow pieces were determined by range analysis and variance analysis as follows: linear speed of abrasive belt 30 m/s, mesh number of abrasive belt 240 and workpiece speed 40 mm/s. According to the optimal process parameters, the mathematical regression model of surface brightness and grinding thickness is established by multivariate nonlinear regression analysis, and the model is verified by experiments. It is found that the maximum relative error is less than 11. 7%. Finally, the stress of the composite bow piece during polishing under the optimal process parameters was tested by using the robot polishing force measuring platform, and it was found that the optimal polishing force was 25 N, at which time the rubber layer on the bow piece surface could be completely cleaned, and the surface brightness was 0. 44, which fully met the production requirements. |
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