Abstract
Predicting flow stress at high strain-rates is a desirable practice for material behavior characterization. Sub-grain size has shown a huge influence in cutting forces and the workpiece surface finish determination during orthogonal cutting process. Hence, a prediction of flow stress as a function of thermomechanical conditions and sub-grain size is of great important which is studied in this work for OFHC copper. The principal thermomechanical conditions being strain, strain-rate and the accompanying temperature rise are characterized in Plane Strain Machining (PSM) and the resulting microstructure, sub-grain size, is quantified. Material maximum flow stress (a constitutive model) as a function of thermomechanical conditions and sub-grain size is predicted considering a saturated state in microstructure using optimization algorithms for reaching the validated temperature rise based on modified Hahn’s model. Evaluated models suggest a major influence of strain-rate and dislocation in temperature rise estimation and flow stress prediction leading to consideration of mechanical failure phenomenon involved in machining-based manufacturing processes.
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Acknowledgements
In this study, we acknowledge the funding support from Colciencias grant code 120474557650 and the 2017 grant from school of engineering at Universidad de los Andes, Bogotá, Colombia.
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Osorio, J.C., Abolghasem, S., Rodriguez, J.P.C. (2018). Determination of Microstructure-Based Constitutive Models Using Temperature Rise Distribution in Plane Strain Machining. In: Li, B., et al. Characterization of Minerals, Metals, and Materials 2018 . TMS 2018. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-319-72484-3_25
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DOI: https://doi.org/10.1007/978-3-319-72484-3_25
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