...
首页> 外文期刊>MATEC Web of Conferences >Non Machinable Volume Calculation Method for 5-Axis Roughing Based on Faceted Models through Closed Bounded Area Evaluation
【24h】

Non Machinable Volume Calculation Method for 5-Axis Roughing Based on Faceted Models through Closed Bounded Area Evaluation

机译:通过闭合面积评估基于刻面模型的5轴粗加工不可加工体积计算方法

获取原文

摘要

The increase in the volume of rough machining on the CBV area is one of the indicators of increased efficiencyof machining process. Normally, this area is not subject to the rough machining process, so that the volume of the rest of the material is still big. With the addition of CC point and tool orientation to CBV area on a complex surface, the finishing will be faster because the volume of the excess material on this process will be reduced. This paper presents a method for volume calculation of the parts which do not allow further occurrence of the machining process, particulary for rough machining on a complex object. By comparing the total volume of raw materials and machining area volume, the volume of residual material,on which machining process cannot be done,can be determined. The volume of the total machining area has been taken into account for machiningof the CBV and non CBV areas. By using delaunay triangulation for the triangle which includes the machining and CBV areas. The volume will be calculated using Divergence(Gaussian) theorem by focusing on the direction of the normal vector on each triangle. This method can be used as an alternative to selecting tothe rough machining methods which select minimum value of nonmachinable volume so that effectiveness can be achieved in the machining process.
机译:CBV面积上粗加工体积的增加是加工过程效率提高的指标之一。通常,该区域不受粗加工过程的影响,因此材料的其余部分的体积仍然很大。随着CC点和刀具方向在复杂的表面上的CBV区域,整理将更快,因为该过程上的过量材料的体积将减少。本文介绍了不允许进一步发生加工过程的零件的体积计算方法,在复杂物体上进行粗糙加工的分体。通过比较原材料的总体积和加工面积体积,可以确定剩余材料的体积,可以在其上进行加工过程。已经考虑了加工CBV和非CBV区域的总加工区的体积。通过使用DELAUNAINAIN TRIANULATULATULE,包括加工和CBV区域。通过聚焦在每个三角形上的普通向量的方向上使用发散(高斯)定理来计算体积。该方法可以用作选择粗加工方法的替代方案,该粗加工方法选择不可安装的体积的最小值,从而在加工过程中可以实现有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号