首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Machining fixture layout design using ant colony algorithm based continuous optimization method
【24h】

Machining fixture layout design using ant colony algorithm based continuous optimization method

机译:基于蚁群算法的加工夹具布局设计的连续优化方法

获取原文
获取原文并翻译 | 示例
           

摘要

In any machining fixture, the workpiece elastic deformation caused during machining influences the dimensional and form errors of the workpiece. Placing each locator and clamp in an optimal place can minimize the elastic deformation of the workpiece, which in turn minimizes the dimensional and form errors of the workpiece. Design of fixture configuration (layout) is a procedure to establish the workpiece–fixture contact through optimal positioning of clamping and locating elements. In this paper, an ant colony algorithm (ACA) based discrete and continuous optimization methods are applied for optimizing the machining fixture layout so that the workpiece elastic deformation is minimized. The finite element method (FEM) is used for determining the dynamic response of the workpiece caused due to machining and clamping forces. The dynamic response of the workpiece is simulated for all ACA runs. This paper proves that the ACA-based continuous fixture layout optimization method exhibits the better results than that of ACA-based discrete fixture layout optimization method.
机译:在任何加工夹具中,加工过程中引起的工件弹性变形都会影响工件的尺寸和形状误差。将每个定位器和夹具放置在最佳位置可以最大程度地减少工件的弹性变形,从而最大程度地减少工件的尺寸和形状误差。夹具配置(布局)的设计是通过最佳定位夹具和定位元件来建立工件与夹具接触的过程。本文采用基于蚁群算法(ACA)的离散和连续优化方法来优化加工夹具的布局,以使工件的弹性变形最小。有限元方法(FEM)用于确定由于机械加工和夹紧力引起的工件动态响应。针对所有ACA运行模拟了工件的动态响应。本文证明,基于ACA的连续夹具布局优化方法比基于ACA的离散夹具布局优化方法具有更好的效果。

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