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Model and algorithm based on accurate realization of dwell time in magnetorheological finishing

机译:基于磁流变精加工停留时间精确实现的模型和算法

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摘要

Classically, a dwell-time map is created with a method such as deconvolution or numerical optimization, with the input being a surface error map and influence function. This dwell-time map is the numerical optimum for minimizing residual form error, but it takes no account of machine dynamics limitations. The map is then reinterpreted as machine speeds and accelerations or decelerations in a separate operation. In this paper we consider combining the two methods in a single optimization by the use of a constrained nonlinear optimization model, which regards both the two-norm of the surface residual error and the dwell-time gradient as an objective function. This enables machine dynamic limitations to be properly considered within the scope of the optimization, reducing both residual surface error and polishing times. Further simulations are introduced to demonstrate the feasibility of the model, and the velocity map is reinterpreted from the dwell time, meeting the requirement of velocity and the limitations of accelerations or decelerations. Indeed, the model and algorithm can also apply to other computer-controlled subaperture methods.
机译:经典地,使用诸如去卷积或数值优化之类的方法来创建停留时间图,其中输入是表面误差图和影响函数。该停留时间图是使残留形状误差最小化的最佳数值,但它没有考虑机械动力学限制。然后在单独的操作中将地图重新​​解释为机器速度和加速度或减速度。在本文中,我们考虑通过使用约束非线性优化模型将两种方法组合在单个优化中,该模型将表面残差的两个范数和停留时间梯度都视为目标函数。这样可以在优化范围内适当考虑机器动态限制,从而减少残留的表面误差和抛光时间。引入了进一步的仿真以证明该模型的可行性,并且根据停留时间重新解释了速度图,从而满足了速度要求以及加减速的限制。实际上,该模型和算法也可以应用于其他计算机控制的子孔径方法。

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