Abstract

In modern intelligent manufacturing, when using industrial robots to complete precision machining of lithium battery heat dissipation housing materials such as assembly, grinding, polishing, and deburring, it is not only necessary to track the position of the robot’s end effector, but also to consider the contact force generated when the actuator contacts the working environment. This project takes the research on position and force control in robot automatic polishing process as the starting point. Due to the uncertainty and high degree of nonlinearity in the control process, machine vision is introduced into the process of robotic precision machining systems, combining visual inspection systems and feedback control systems to achieve grinding trajectory planning, verify the feasibility of the control scheme, and develop a robotic lithium battery housing material processing experimental platform to meet the requirements for precision machining of the free surface of the lithium battery heat dissipation workpiece, The surface roughness parameters of the lithium battery heat dissipation workpiece after precision machining by the robot should meet the requirements of the arithmetic mean deviation of the contour.

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