双级微型铣床的逆运动学模型和轨迹生成

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING Journal of Manufacturing Processes Pub Date : 2024-11-09 DOI:10.1016/j.jmapro.2024.10.057
Yifei Hu , Xiaoliang Jin , Xin Jiang , Zhiming Zheng
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引用次数: 0

摘要

多轴微加工中心因其高自由度而专为精密微型零件而设计,在运动规划方面面临着实现高精度和高速度的重大挑战。本文介绍了一种新型双级九轴微型铣床的轨迹生成算法,该铣床由一个笛卡尔三轴平台和一个高带宽六自由度磁悬浮工作台组成。为应对运动学冗余这一固有挑战,开发了逆运动学模型,以确定与所需刀具位置和方向相对应的各轴位置。进给速率是通过考虑所有九个轴的运动学约束来确定的。利用 B-样条曲线拟合机床坐标系中的刀具路径,制定并解决两个线性优化问题,以获得进给率曲线。最后,利用反馈方法计算插补点,从而获得位置指令。所提出的方法优于使用雅各布矩阵的摩尔-彭罗斯伪逆的传统方法,周期时间最多可减少 44.55%,轮廓误差最多可减少 15.64%,显示出显著的效率和精度改进。
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Inverse kinematics model and trajectory generation of a dual-stage micro milling machine
Multiaxis micromachining centers, designed for precision in miniature parts due to their high degrees of freedom, face significant challenges in motion planning to achieve high accuracy and speed. This paper presents a trajectory generation algorithm for a novel dual-stage 9-axis micro milling machine, comprising a Cartesian 3-axis stage and a high-bandwidth 6-degree-of-freedom magnetically levitated table. To address the inherent challenge of kinematic redundancy, the inverse kinematics model is developed to determine the position of each axis corresponding to the desired tool position and orientation. The feedrate is determined by considering the kinematics constraints of all nine axes. With the tool paths in the machine coordinate system fitted using B-spline curves, two linear optimization problems are formulated and solved to obtain the feedrate profile. Finally, interpolation points are calculated using a feedback method to obtain the position commands. The proposed method outperforms traditional methods using the Moore Penrose pseudoinverse of the Jacobian matrix, reducing cycle time by up to 44.55 % and contour error by up to 15.64 %, demonstrating significant efficiency and accuracy improvements.
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来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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