Mathematical Modelling the Low-Pressure Nitriding Process

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This paper discusses the issues of modelling and smart computer support for low-pressure nitriding aimed at achieving more effectively the compatibility between the actual post-treatment properties of a material and the designed properties, which will contribute to improved repeatability of the processes. The principal objective of the experiment was to acquire better understanding of the cause and effect relationship of the low-pressure nitriding processes and to develop the methodology of designing functional and effective processes of low-pressure thermochemical treatment, using effective computational methods. The paper proposes a method of steel classification based on its chemical composition and a model used to forecast the properties of material after low-pressure nitriding, based on the artificial neural networks.

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377-383

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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