Objective To introduce a new generating method for the machining of a cylindrical gear with symmetric arcuate tooth trace. Methods Adopting this method, the key problems of mismatch control and manufacturing of symm...Objective To introduce a new generating method for the machining of a cylindrical gear with symmetric arcuate tooth trace. Methods Adopting this method, the key problems of mismatch control and manufacturing of symmetric arcuate tooth trace gears are solved by using suitable cutter tilt and a new generating method with double-edge gear-wheel cutter. The machining principle is analyzed and the mathematical model of generating motion is established. Then the tooth flank equation and differential geometrical parameters are discussed. Results The minim alteration of cutter tilt will make the contact flank area change so as to satisfy the special requirements. It is easy to realize the tip relief of gearing by altering coefficients of every moving axis. Because the tooth has the arc shape, the symmetrical arcuate cylindrical gears have higher overall strength and it is easy to perform the flank grinding for high precision. Conclusion This new generating method has higher productivity. It is easy to get a perfect contact zone and fully give play to the potential bearing capacity of the gears. The symmetrical arcuate cylindrical gears can be used in highly durable and heavy duty gearing applications.展开更多
针对传统工业生产中二维不规则钣金零件的利用率不高、计算时间较长的问题,提出了以能量函数为载体的BL-NFP(Bottom Left-No Fit Polygon)神经网络算法。该算法是将BL(Bottom-Left)定位算法和临界多边形(No-Fit Polygon,NFP)几何特性相...针对传统工业生产中二维不规则钣金零件的利用率不高、计算时间较长的问题,提出了以能量函数为载体的BL-NFP(Bottom Left-No Fit Polygon)神经网络算法。该算法是将BL(Bottom-Left)定位算法和临界多边形(No-Fit Polygon,NFP)几何特性相结合,同时模拟了钣金零件的排样过程。并采取对待排入零件优先进行面积大小核算、再排入待排物体的方式,并利用Matlab对算法的输出数据和前人所列出的数据结果进行了测试对比。结果表明:BL定位算法能够合理地计算出零件的排入位置,NFP能够有效地解决不规则零件排样利用率小的问题,神经网络算法则能够有效地提高求解速度。针对二维不规则钣金零件的排样问题,与传统神经网络算法相比较,采用该算法缩短了钣金零件下料机器计算最优解40%的时间,并提高了约8%的钣金材料利用率。展开更多
文摘Objective To introduce a new generating method for the machining of a cylindrical gear with symmetric arcuate tooth trace. Methods Adopting this method, the key problems of mismatch control and manufacturing of symmetric arcuate tooth trace gears are solved by using suitable cutter tilt and a new generating method with double-edge gear-wheel cutter. The machining principle is analyzed and the mathematical model of generating motion is established. Then the tooth flank equation and differential geometrical parameters are discussed. Results The minim alteration of cutter tilt will make the contact flank area change so as to satisfy the special requirements. It is easy to realize the tip relief of gearing by altering coefficients of every moving axis. Because the tooth has the arc shape, the symmetrical arcuate cylindrical gears have higher overall strength and it is easy to perform the flank grinding for high precision. Conclusion This new generating method has higher productivity. It is easy to get a perfect contact zone and fully give play to the potential bearing capacity of the gears. The symmetrical arcuate cylindrical gears can be used in highly durable and heavy duty gearing applications.
文摘针对传统工业生产中二维不规则钣金零件的利用率不高、计算时间较长的问题,提出了以能量函数为载体的BL-NFP(Bottom Left-No Fit Polygon)神经网络算法。该算法是将BL(Bottom-Left)定位算法和临界多边形(No-Fit Polygon,NFP)几何特性相结合,同时模拟了钣金零件的排样过程。并采取对待排入零件优先进行面积大小核算、再排入待排物体的方式,并利用Matlab对算法的输出数据和前人所列出的数据结果进行了测试对比。结果表明:BL定位算法能够合理地计算出零件的排入位置,NFP能够有效地解决不规则零件排样利用率小的问题,神经网络算法则能够有效地提高求解速度。针对二维不规则钣金零件的排样问题,与传统神经网络算法相比较,采用该算法缩短了钣金零件下料机器计算最优解40%的时间,并提高了约8%的钣金材料利用率。
