Abstract
High-performance failure-critical parts such as aeroengine disks are manufactured in a sequence of processing steps such as solidification, deformation, heat treatment and finishing. The fatigue and failure performance of these parts are often governed by the material and processing state. Uncertainties in the material structure, defects and anomalies play a major role in the uncertainties in performance. This paper includes a hybrid computational framework for integrated materials and process design with achieved through model decomposition based on Bayesian probabilistic formulation. Efficacy of this approach is demonstrated by applying it to the selection of forging parameters for maximizing life of titanium disk with hard alpha anomaly.
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© 2013 TMS (The Minerals, Metals & Materials Society)
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Agarwal, K., Shivpuri, R. (2013). A Computational Framework for Integrated Process Design of High Performance Parts. In: Li, M., Campbell, C., Thornton, K., Holm, E., Gumbsch, P. (eds) Proceedings of the 2nd World Congress on Integrated Computational Materials Engineering (ICME). Springer, Cham. https://doi.org/10.1007/978-3-319-48194-4_22
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DOI: https://doi.org/10.1007/978-3-319-48194-4_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48585-0
Online ISBN: 978-3-319-48194-4
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