Design optimisation of cutting parameters for a class of radially-compliant spindles via virtual prototyping tools

G. Berselli, M. Pellicciari, G. Bigi, R. Razzoli
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引用次数: 2

Abstract

Robotic deburring (RD) still requires long and delicate physical tests to tune the process-parameters, thus drastically reducing the robotic cell productivity. Henceforth, engineering methods and tools are needed to optimise the RD application within a virtual environment, replicating the real behaviour of the robot tooling under different process conditions, namely unpredictable variety of burr size/shape and limited accuracy of the robot motions. To this purpose, the spindle compliance, which plays a fundamental role, is unfortunately not evaluated by state-of-the-art simulation tools. The present paper proposes a virtual prototype (VP) of a radially-compliant spindle, suitable to assess and optimise the deburring efficiency in different case scenarios. A multi-body model of the spindle, integrated with the process behavioural model, predicts process forces and optimal deburring parameters, delivering the contour maps of the envisaged deburring error as function of feed rate and tool compliance. An industrial case-study is provided.
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利用虚拟样机工具对一类径向柔性主轴的切削参数进行了优化设计
机器人去毛刺(RD)仍然需要长时间和精细的物理测试来调整工艺参数,从而大大降低了机器人细胞的生产率。因此,需要工程方法和工具来优化虚拟环境中的研发应用,复制机器人工具在不同工艺条件下的真实行为,即毛刺尺寸/形状的不可预测变化和机器人运动的有限精度。为此,主轴顺应性,发挥了基本的作用,不幸的是,没有评估的最先进的仿真工具。本文提出了一种径向柔性主轴的虚拟样机(VP),适用于评估和优化不同情况下的去毛刺效率。主轴的多体模型与过程行为模型相结合,预测过程力和最佳去毛刺参数,提供设想的去毛刺误差的等高线图,作为进给速度和刀具顺应性的函数。提供了一个工业案例研究。
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