Prediction of tool failure in metal hot extrusion process using artificial neural networks

نویسندگان

چکیده

Abstract. The variation of tool performance and nonuniform process parameters in metal forming are some the factors that complicate life modeling analysis such processes. In this work, a brief discussion about machine learning analyzing extrusion as well modeling, an implemented work using to predict failure modes for H13 Steel die used 6063 Aluminum hot is presented. conducted on set steel dies aluminum process. data failed collected from local manufacturer. Using artificial neural network, prediction was modeled. Moreover, model’s accuracy improvement recommendations

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ژورنال

عنوان ژورنال: Materials research proceedings

سال: 2023

ISSN: ['2474-3941', '2474-395X']

DOI: https://doi.org/10.21741/9781644902790-2