News from RBF Morph
21 February 2018
Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviourThe study conducted by Sacmi Imola in collaboration with Jönköping University having title “Multidisciplinary shape optimization of ductile iron castings by
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2 February 2018
RBF Morph at DICAr of the University of PaviaWe are pleased to announce that a seminar entitled “Fast Radial Basis Functions for Engineering Applications” will be given by
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10 January 2018
FTGM wins Ansys Hall of Fame 2018 competition using RBF MorphFTGM (Fondazione Toscana Gabriele Monasterio) is the winner of the Ansys Hall of Fame 2018 world competition in Academic Session. Using ANSYS CFD and
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13 December 2017
Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviourA study having title Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviour conducted by Sacmi
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5 December 2017
Evaluation of go-kart aerodynamic efficiency using CFD, RBF mesh morphing and lap time simulationAn article about CFD, RBF mesh morphing and lap time simulation-based analysis method to investigate the effect of aerodynamic drag on
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28 November 2017
New article published in Enginsoft NewsletterRBF Morph published in Enginsoft Newsletter Year 14 n. 3 Autumn 2017 an article on how multi-objective optimizations, combined with experienced
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14 November 2017
RBF Morph at Flexible Engineering WorkshopRBF Morph in collaboration with University of Rome “Tor Vergata”, ANSYS Inc., and Design Methods is organizing the workshop titled
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9 November 2017
Papers given at CAE 2017 are now available to downloadThe presentations given by RBF Morph team at 33th edition of International CAE Conference that was held in Vicenza (Italy) 6-7 November
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17 October 2017
Article: Aircraft & car shape optimization on the RBF4AERO platformIn this paper the solution of industrial aerodynamic shape optimization problems using the optimization methods provided by the RBF4AERO platform, developed
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