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Online Emissivity Estimation of the Hollow Cathode and the Treated Part in the HC Plasma Nitriding Process

机译:HC等离子体氮化过程中空心阴极和被处理零件的在线发射率估计

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Modeling the thermal process in the Hollow Cathode Anodic Plasma Nitriding (HCAPN) is essential for control. The heat transfer mechanism consists mainly of conduction by gas and radiation. The essential parameter of the heat radiation is the emissivity of the metal surface. It was shown that the emissivity of the commonly used metals (carbon steel, aluminum) is highly temperature dependent and in the case of surface heat-treatment, the modification of the surface structure modify the emissivity also. The goal of the paper is to present an online emissivity estimation method using Extended Kalman Filter, thus a simultaneous state and parameter estimator. For this, an augmented state-space model will be used. The HCAPN setup consist of a hollow cathode and the treated part, in most cases having different materials, thus the algorithm was developed to estimate the emissivity of both materials.
机译:在空心阴极阳极等离子体渗氮(HCAPN)中对热过程进行建模对于控制至关重要。传热机制主要包括气体和辐射的传导。散热的基本参数是金属表面的发射率。结果表明,常用金属(碳钢,铝)的发射率与温度密切相关,在表面热处理的情况下,表面结构的改变也会改变发射率。本文的目的是提出一种使用扩展卡尔曼滤波器的在线发射率估计方法,从而实现状态和参数的同时估计。为此,将使用增强的状态空间模型。 HCAPN装置由一个空心阴极和经过处理的零件组成,在大多数情况下,它们具有不同的材料,因此开发了一种算法来估算两种材料的发射率。

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