Gear shaving is a gear finishing operation of high efficiency and high precision. After shaved by shaving cutter of true involute profile, there are the "mid-concave" phenomena around the pitch points of the...Gear shaving is a gear finishing operation of high efficiency and high precision. After shaved by shaving cutter of true involute profile, there are the "mid-concave" phenomena around the pitch points of the work gear tooth flanks inevitably. This problem severely affects the shaving accuracy and gear transmission quality, which hasn’t been resolved thoroughly for a long time. Aiming at the problem, based on shaving mechanism and the analysis on gear tooth profile mid-concave, a new-style shaving cutter with unequal depth gashes is designed and manufactured. As compared with common shaving cutter, its depth of gashes is zero on the pitch points of tooth profiles and gradually gets deeper to max. from pitch points to the tops of teeth or the roots. Because of no depth on the pitch points, there are no cutting edges, that is, no cutting action, so the work gear isn’t cutted around its pitch points and is only pressed during shaving operation. Therefore, the gear tooth errors are decreased greatly. And the experimentations have proved the shaved gear has better surface finish that achieves the expectant effect. In addition, this paper analyses the forming of gash on the basis of slotting principle, and proposes a design method of gash: gash bottom is formed by two involutes which intersect on the pitch point and are concentric with the base circle of involute profile of cutter. Furthermore, the equations of the two involutes are deduced and the solution is introduced. This paper analyses the forming of gash on the basis of slotting principle, and proposes a gash-designing method. And the experiment has proved that the shaved gear has better surface finish that achieves the anticipated effect.展开更多
ToF(Time of Flight)深度相机是获取三维点云数据的重要手段之一,但ToF深度相机受到自身硬件和外部环境的限制,其测量数据存在一定的误差。本文针对ToF深度相机的非系统误差进行研究,通过实验验证了被测目标的颜色、距离和相对运动等因...ToF(Time of Flight)深度相机是获取三维点云数据的重要手段之一,但ToF深度相机受到自身硬件和外部环境的限制,其测量数据存在一定的误差。本文针对ToF深度相机的非系统误差进行研究,通过实验验证了被测目标的颜色、距离和相对运动等因素均会对深度相机获取的数据产生影响,且影响均不相同。本文提出了一种新的测量误差模型对颜色和距离产生的误差进行校正,对于相对运动产生的误差,建立了三维运动模糊函数进行恢复,通过对所建立的校正模型进行数值分析,距离和颜色的残余误差小于4 mm,相对运动所带来的误差小于0.7 mm。本文所做工作改善了ToF深度相机的测量数据的质量,为开展三维点云重建等工作提供了更精准的数据支持。展开更多
文摘Gear shaving is a gear finishing operation of high efficiency and high precision. After shaved by shaving cutter of true involute profile, there are the "mid-concave" phenomena around the pitch points of the work gear tooth flanks inevitably. This problem severely affects the shaving accuracy and gear transmission quality, which hasn’t been resolved thoroughly for a long time. Aiming at the problem, based on shaving mechanism and the analysis on gear tooth profile mid-concave, a new-style shaving cutter with unequal depth gashes is designed and manufactured. As compared with common shaving cutter, its depth of gashes is zero on the pitch points of tooth profiles and gradually gets deeper to max. from pitch points to the tops of teeth or the roots. Because of no depth on the pitch points, there are no cutting edges, that is, no cutting action, so the work gear isn’t cutted around its pitch points and is only pressed during shaving operation. Therefore, the gear tooth errors are decreased greatly. And the experimentations have proved the shaved gear has better surface finish that achieves the expectant effect. In addition, this paper analyses the forming of gash on the basis of slotting principle, and proposes a design method of gash: gash bottom is formed by two involutes which intersect on the pitch point and are concentric with the base circle of involute profile of cutter. Furthermore, the equations of the two involutes are deduced and the solution is introduced. This paper analyses the forming of gash on the basis of slotting principle, and proposes a gash-designing method. And the experiment has proved that the shaved gear has better surface finish that achieves the anticipated effect.
文摘ToF(Time of Flight)深度相机是获取三维点云数据的重要手段之一,但ToF深度相机受到自身硬件和外部环境的限制,其测量数据存在一定的误差。本文针对ToF深度相机的非系统误差进行研究,通过实验验证了被测目标的颜色、距离和相对运动等因素均会对深度相机获取的数据产生影响,且影响均不相同。本文提出了一种新的测量误差模型对颜色和距离产生的误差进行校正,对于相对运动产生的误差,建立了三维运动模糊函数进行恢复,通过对所建立的校正模型进行数值分析,距离和颜色的残余误差小于4 mm,相对运动所带来的误差小于0.7 mm。本文所做工作改善了ToF深度相机的测量数据的质量,为开展三维点云重建等工作提供了更精准的数据支持。
