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ON PREDICTION OF PASSIVE CONTACT FORCES OF WORKPIECE-FIXTURE SYSTEMS

机译:工装夹具系统被动接触力的预测

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摘要

Prediction of passive forces in a frictional workpiece-fixture system is an important problem, since the contact forces have a strong influence on clamp design and on workpiece accuracy during machining. This paper presents a general method for the computation of the contact forces. First, based on the rigid-body kinematics, an indeterminate system of static equilibrium is defined, in which the passive, frictional contact forces cannot be determined arbitrarily as in an actively controlled robotic multi-finger grasp. Then, we define a locally elastic contact model to describe the nonlinear coupling between the contact forces and elastic deformations at the contact point. This model captures the essence of the passive contact. Further, a set of "compatibility" equations are given so that the elastic deformations among all passive contacts in the workpiece-fixture system result in a consistent set of rigid-body displacement of the workpiece in its global system. Finally, combining the locally elastic contact model and the "compatibility" conditions, we transform the force computation problem into a determinate system of nonlinear equations governing all of the elastic deformations at all of the passive contacts. By solving the resulting nonlinear equations with frictional constraints, we can accurately predict all contact forces in the frictional workpiece-fixtures system. This method is illustrated with example cases. The method presented here may also have an application to other passive, indeterminate problems such as power grasps in robotics.
机译:摩擦工件夹具系统中的被动力的预测是一个重要的问题,因为接触力会对夹具设计和加工过程中的工件精度产生重大影响。本文提出了一种计算接触力的通用方法。首先,基于刚体运动学,定义了不确定的静态平衡系统,在该系统中,不能像主动控制的机器人多指抓取中那样任意确定被动的摩擦接触力。然后,我们定义了一个局部弹性接触模型来描述接触力和接触点的弹性变形之间的非线性耦合。该模型捕捉了被动接触的本质。此外,给出了一组“兼容性”方程,以使工件-夹具系统中所有被动触点之间的弹性变形导致工件在其整体系统中的一致的刚体位移组。最后,结合局部弹性接触模型和“相容性”条件,我们将力计算问题转换为控制所有被动接触的所有弹性变形的非线性方程式的确定系统。通过求解带有摩擦约束的非线性方程,我们可以准确地预测摩擦夹具系统中的所有接触力。通过示例案例说明了此方法。此处介绍的方法还可以应用于其他被动的,不确定的问题,例如机器人技术中的功率控制。

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