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Engineering

University of New Hampshire

Theses/Dissertations

Texture reconstruction

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Computationally Efficient Representation Of Statistically Described Material Microstructure For Tractable Forming Simulations, Nicholas Landry Jan 2014

Computationally Efficient Representation Of Statistically Described Material Microstructure For Tractable Forming Simulations, Nicholas Landry

Honors Theses and Capstones

The purpose of this project is to reduce a large statistical distribution of metal microstructure orientations to a manageable distribution to be used in metal forming simulations. Microstructure sensitive simulations at the macro-scale are impractical, because with so many state variables associated with material microstructure data, these simulations are extremely computationally expensive.

The goal was to develop a framework to accurately model plastic material response while representing the material microstructure in a more compact form, reducing 106 or more microstructure orientations to a significantly smaller statistical distribution of representative orientations. This will significantly increase the computational efficiency and make the …


Computationally Efficient Representation Of Statistically Described Material Microstructure For Tractable Forming Simulations, Nicholas Landry Jan 2014

Computationally Efficient Representation Of Statistically Described Material Microstructure For Tractable Forming Simulations, Nicholas Landry

Honors Theses and Capstones

The purpose of this project is to reduce a large statistical distribution of metal microstructure orientations to a manageable distribution to be used in metal forming simulations. Microstructure sensitive simulations at the macro-scale are impractical, because with so many state variables associated with material microstructure data, these simulations are extremely computationally expensive.

The goal was to develop a framework to accurately model plastic material response while repre- senting the material microstructure in a more compact form, reducing 106 or more microstructure orientations to a significantly smaller statistical distribution of representative orientations. This will significantly increase the computational efficiency and make …