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Kinematic Optimization of Robot Trajectories for Thermal Spray Coating Application

机译:热喷涂应用机器人轨迹的运动学优化

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摘要

Industrial robots are widely used in the field of thermal spray nowadays. Due to their characteristics of high-accuracy and programmable flexibility, spraying on complex geometrical workpieces can be realized in the equipped spray room. However, in some cases, the robots cannot guarantee the process parameters defined by the robot movement, such as the scanning trajectory, spray angle, relative speed between the torch and the substrate, etc., which have distinct influences on heat and mass transfer during the generation of any thermally sprayed coatings. In this study, an investigation on the robot kinematics was proposed to find the rules of motion in a common case. The results showed that the motion behavior of each axis of robot permits to identify the motion problems in the trajectory. This approach allows to optimize the robot trajectory generation in a limited working envelop. It also minimizes the influence of robot performance to achieve a more constant relative scanning speed which is represented as a key parameter in thermal spraying.
机译:如今,工业机器人已广泛应用于热喷涂领域。由于其高精度和可编程灵活性的特性,可以在配备的喷涂室中对复杂的几何工件进行喷涂。但是,在某些情况下,机器人无法保证由机器人运动定义的过程参数,例如扫描轨迹,喷雾角度,割炬和基材之间的相对速度等,这些参数会对在过程中的热量和质量传递产生明显的影响。任何热喷涂涂层的产生。在这项研究中,提出了对机器人运动学的研究,以找到常见情况下的运动规则。结果表明,机器人各轴的运动行为可以识别轨迹中的运动问题。这种方法可以在有限的工作范围内优化机器人的轨迹生成。它还最大程度地减小了机器人性能的影响,以获得相对恒定的相对扫描速度,该速度表示为热喷涂的关键参数。

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