Abstract
Friction extrusion is a novel manufacturing process for producing high-value materials (e.g. metal wires) from low-cost precursors (e.g. powders) or through recycling of machining wastes (e.g. chips). In the friction extrusion process, the material experiences high temperature and severe plastic deformation before it forms the final product in the form of a wire. The present work is focused on understanding the heat transfer and material flow phenomena in the friction extrusion process. A numerical thermo-fluid model has been developed and validated by experimental measurements. In the model, the experimentally measured mechanical power is used as the heat input to predict the temperature field in the experiment. The processing material is treated as a non-Newtonian fluid with a viscosity that is temperature and strain rate dependent. Select marker particles in the material are followed and their motions observed in the simulation to study material flow patterns. It is found that predictions of the temperature field and marker particle trajectories match reasonably well with experimental measurements. Results of this study suggest that the proposed thermo-fluid model can capture the main features of the thermo-fluid phenomena in the friction extrusion process and can be used to provide reasonable predictions of, the temperature and material flow fields in the friction extrusion process.
Original language | English |
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Pages (from-to) | 187-196 |
Number of pages | 10 |
Journal | Conference Proceedings of the Society for Experimental Mechanics Series |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
Event | 2014 Annual Conference on Experimental and Applied Mechanics, SEM 2014 - Greenville, SC, United States Duration: Jun 2 2014 → Jun 5 2014 |
Funding
Acknowledgment The financial support provided in part by NASA Consortium Agreement NNX10AN36A and by the National Science Foundation through NSF-CMMI-1266043 is gratefully acknowledged.
Keywords
- Friction extrusion process
- Heat transfer
- Numerical simulation
- Particle tracking
- Thermo-fluid modeling