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Thermal modeling and control in production of intermetallic coatings from layered precursors

机译:由层状前体生产金属间涂层的热建模和控制

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eSuccessful fabrication of intermetallic coatings on surfaces of manufacturing interest involves regulation of the temperature/concentration dynamic distributions that develop in the molten layer during the thermal and reaction process. Modeling the spatio-temporal dynamics of this metallurgical process, however, requires partial differential equations that are cumbersome to solve on-line, as part of a real time reference model to the controller. To this end, we present a computationally parallel and meshless model (i.e., decoupled with the capability to be solved numerically in real time) to decipher the dynamics of the thermal coating process and to permit real time monitoring and control of the resulting coating microstructure. The analytical model is based on kinetic growth theories, lumped energy and mass balances, and convolution expressions of distributed temperature and concentration Green's fields (accounting for the orientation of their gradient and decomposing heat and mass transfer across the coating from substrate conduction). The model is validated with nickel aluminide coatings processed on a robotic plasma arc laboratory station, through in-process infrared thermal sensing and off-line metallographic analysis. A Monte Carlo sample control scheme, that involves on-line parameter identification and model adaptation, is also developed using the model as an in-process observer for successful production of binary metal system coatings that exhibit the desired microstructure geometry and characteristics.
机译:在具有制造意义的表面上成功制造金属间涂层涉及调节在热和反应过程中在熔融层中形成的温度/浓度动态分布。然而,对这种冶金过程的时空动力学进行建模需要作为在线实时参考模型一部分的,需要在线求解的偏微分方程。为此,我们提出了一个计算并行和无网格的模型(即与实时解数值能力解耦)来解密热镀膜过程的动力学,并允许实时监控和控制所得涂层的微观结构。该分析模型基于动力学增长理论,集总的能量和质量平衡以及分布的温度和浓度格林场的卷积表达式(考虑了它们的梯度方向,并分解了从基底传导到整个涂层的热量和质量传递)。通过在过程中的红外热感测和离线金相分析,在机器人等离子弧实验室工作站上处理的铝化镍涂层验证了该模型。还使用该模型作为过程中的观察者来开发涉及在线参数识别和模型调整的蒙特卡洛样品控制方案,以成功生产出具有所需微结构几何形状和特性的二元金属体系涂层。

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