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气体氮化过程的设计、控制和原位可视化。

Design, control and in situ visualization of gas nitriding processes.

机构信息

Institute of Mechatronics, Nanotechnology and Vacuum Technique, Koszalin University of Technology, Poland.

出版信息

Sensors (Basel). 2010;10(1):218-40. doi: 10.3390/s100100218. Epub 2009 Dec 28.

DOI:10.3390/s100100218
PMID:22315536
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3270837/
Abstract

The article presents a complex system of design, in situ visualization and control of the commonly used surface treatment process: the gas nitriding process. In the computer design conception, analytical mathematical models and artificial intelligence methods were used. As a result, possibilities were obtained of the poly-optimization and poly-parametric simulations of the course of the process combined with a visualization of the value changes of the process parameters in the function of time, as well as possibilities to predict the properties of nitrided layers. For in situ visualization of the growth of the nitrided layer, computer procedures were developed which make use of the results of the correlations of direct and differential voltage and time runs of the process result sensor (magnetic sensor), with the proper layer growth stage. Computer procedures make it possible to combine, in the duration of the process, the registered voltage and time runs with the models of the process.

摘要

本文提出了一个复杂的设计系统,用于对常用的表面处理工艺:气体氮化工艺进行原位可视化和控制。在计算机设计概念中,使用了分析数学模型和人工智能方法。因此,获得了多优化和多参数模拟过程的可能性,同时结合了过程参数随时间变化的可视化,以及预测氮化层性能的可能性。为了对氮化层的生长进行原位可视化,开发了计算机程序,这些程序利用过程结果传感器(磁传感器)的直接和微分电压以及时间运行的相关结果,与适当的层生长阶段相关联。计算机程序使得在过程的持续时间内,将记录的电压和时间运行与过程模型相结合成为可能。

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引用本文的文献

1
Using Noise and Fluctuations for In Situ Measurements of Nitrogen Diffusion Depth.利用噪声和涨落进行氮扩散深度的原位测量。
Materials (Basel). 2016 Oct 5;9(10):819. doi: 10.3390/ma9100819.