Cutting machine is one of the key equipment used in glass fiber&magnesiumcement board automatic production line. There is a problem of incomplete cutting forexisting cutting machine that need artificial secondary cutting. And the problem leads to alow efficient of automatic production line. So, it is necessary to explore a kind of cuttingmachine that can accomplish complete cutting automatically.Firstly, confirming the main cause of incomplete cutting through analyzing thestructural features and working principle of existing cutting machine, which the cause is thecutting tool wear. Then, according to the functional requirements and improving measure ofthe cutting machine, the mechanical structure of cutting machine is reasonably designed.Secondly, according to the wear characteristics of circular saw blade, an imageprocessing algorithms is designed, which is suitable for detecting the wear of circular sawblade. The goal of the algorithm is to detect three wear parameters of circular saw blade.First the single pixel edge of image is extracted by the boundary tracking algorithm; Thenthe line segment of image boundary is extracted through the improved line detectionalgorithm; And based on image characteristics of circular saw blades, the target is located;Finally, the compensation and wear of circular saw blade are solved by segment informationand the least square method. The algorithm omits the vast angle calculation and reduces thetime of detection. Experiments show that the proposed method can fast and accuratelydetects wear rate and compensation quantity of circular saw blade.At last, according to the operating characteristics of piezoelectric actuator of wearcompensating mechanism, a driving scheme is determined. And the control waveform,amplifying circuit and voltage stabilizing circuit of piezoelectric actuator are all designed.Then, in the light of the whole control requirement for cutting machine, the control systemis designed. The control system to industrial computer as the core, and uses the motioncontrol card, data acquisition card and image acquisition card to control the actuators forcutting task. |