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CMML

@cmmlpriddy

Computational Mechanics and Materials Laboratory (CMML) | PI is @mwpriddy | located @msstate

ID: 1554502472546144256

linkhttp://cmml.me.msstate.edu calendar_today02-08-2022 16:20:52

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Welcome back! We are looking forward to watching everyone's research progress and excited to see familiar faces! (CMML alum Frank Brinkley featured below with the WAAM system)

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We are excited to spotlight David Failla (David Failla Jr.), Ph.D. Candidate in CMML and a SMART Scholar (SMART Scholarship). His work is a combined experimental and FE modeling investigation into functionally graded AM structures for high-rate loading applications!

We are excited to spotlight David Failla (<a href="/DPFaillajr/">David Failla Jr.</a>), Ph.D. Candidate in CMML and a SMART Scholar (<a href="/SMART_DoD/">SMART Scholarship</a>). His work is a combined experimental and FE modeling investigation into functionally graded AM structures for high-rate loading applications!
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This week, we spotlight Matthew Register (Matt Register), Ph.D. student. His research is on FE modeling of WAAM for process parameter optimization and reducing as-built residual stresses. He has a B.S. in Biomed Eng., so he is also supporting our bio-related FE efforts!

This week, we spotlight Matthew Register (<a href="/mattregister8/">Matt Register</a>), Ph.D. student. His research is on FE modeling of WAAM for process parameter optimization and reducing as-built residual stresses. He has a B.S. in Biomed Eng., so he is also supporting our bio-related FE efforts!
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This week's CMML researcher spotlight features Logan Betts, PhD student in Michael W. Hall School of Mechanical Engineering. Logan is examining a variety of phenomena related to FE modeling of AM, with recent work focusing on simulation speed-up with GPUs.

This week's CMML researcher spotlight features <a href="/LoganBetts/">Logan Betts</a>, PhD student in <a href="/me_msstate/">Michael W. Hall School of Mechanical Engineering</a>. Logan is examining a variety of phenomena related to FE modeling of AM, with recent work focusing on simulation speed-up with GPUs.