In the October 2018 issue of NAFEMS Benchmark magazine, ESRD Chairman Dr. Barna Szabó posed a new “FEA Puzzler”: Can you determine the progression in spring rate as a 3D coil spring is deformed? And, can you verify the accuracy of your solution? Give it your best shot!
ESRD’s Dr. Ricardo Actis attended and presented with technology partner Analytical Processes/Engineered Solutions (AP/ES) at the Engineered Residual Stress Implementation (ERSI) Workshop 2018 in Clearfield, UT. This annual workshop is focused on the development of a damage tolerance methodologies for fatigue crack growth through deep Engineered Residual Stress (ERS) fields.
In recent years, Digital Engineering contributor, NAFEMS instructor and FETraining.net developer Tony Abbey has put together a list of practical engineering simulation case studies, walk-thrus and software overviews for a variety of FEA software tools.
Watch as ESRD reproduces a selected set of his 3D detailed stress analysis case studies, and see how we compare with Digital Engineering’s published results!
This past year, ESRD’s Drs. Barna Szabó and Ricardo Actis collaborated with NAVAIR’s Mr. Dave Rusk on a technical paper titled “Fatigue Life Prediction of Flaw-Tolerant Damaged Rotorcraft Structures”. This paper was presented at the American Helicopter Society Annual Forum 74 in Phoenix, Arizona May 14-17, 2018.
Download the paper and presentation from our Resource Library!
In the May 2018 issue of Digital Engineering, contributing editor Tony Abbey profiled ESRD’s CAE Handbook as part of his “new series of overview articles looking at simulation and optimization software products.” Read more […]
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“Hearty congratulations to management and staff at ESRD on their 25th anniversary. The quality and capability of their software products are excellent. I hope that ESRD successfully continues for many more years with the fundamental principles of mathematical precision, numerical accuracy, and integrity in computational simulation.”
Dr. William OberkampfAuthor of Verification and Validation in Scientific Computing