Aiming at the lower automation, accuracy and efficiency of the domestic band sawing machine, this paper studies the real-time detection technology based on the sawing load, develops the digital control system of the constant power sawing with the micro-feed performance to improve the load imbalance of the band saw blades in the sawing process. The real-time detection technology based on the micro-deviation of the band saws trajectory is studied. The digitized deviation-correction control system of the band saws trajectory is developed with the fine-tuning performance of the saw stiffness to correct automatically the band saws trajectory. The weight-detection technology based on the scan reconstruction of the surface profile size is researched. The digital control system of the fixed weight sawing is developed to meet that the weight error of the sawed workpiece is fewer than 3%. That can improve the accuracy and efficiency of the band sawing machine and provide the foundation for the realization of the digital control of the band sawing machine.
Research on conditional characteristics vision real-time detection system for conveyor belt longitudinal tear