Automating the setup and execution of simulation and analysis problems has been a goal of both practitioners and software vendors since almost the beginning of the mechanical CAE software industry. After a long period of gestation and gradual progress, new solutions that benefit analysts, engineers and designers alike are coming to market at an ever-accelerating pace. Continue reading →
This article was first published by Noesis Solutions and can be downloaded here.
Engineers from Cybernet Systems took electric motor technology to higher quality and performance levels. Using Optimus from Noesis Solutions they optimized the design of an electric motor with interior permanent magnets (IPM) for maximum drive torque and minimum noise and vibration. Optimus enabled them to orchestrate ANSYS magnetic/structural simulations in exploring the design space and optimizing the motor design. The results of the multi-objective optimization were impressive: drive torque went up by 7% while lowering cogging torque by 35% and acoustic radiation by almost 6 dB. The approach opens up new opportunities for IPM synchronous electric motors used in (hybrid) electric vehicles, compressors and appliances. Continue reading →
Optimization was a theme running throughout the 2015 Automotive Simulation World Congress organized by ANSYS last week in Detroit. We attended sessions on topology, structural, aerodynamic, adjoint, multi-objective and multidisciplinary optimization that ranged across all the conference tracks—Powertrain, Body & Interior, Chassis, Electrification & Electronics. Continue reading →
Executive summary—Improving the aerodynamic design of an industrial glider flying at Mach 0.08 was the goal of this project: “RBF-based aerodynamic optimization of an industrial glider,” Emiliano Costa, D’Appolonia SpA, Rome, Italy; Marco E. Biancolini, Corrado Groth, University of Rome Tor Vergata, Rome, Italy; Ubaldo Cella, Design Methods (www.designmethods.aero), Messina, Italy; Gregor Veble, Matej Andrejasic, Pipistrel d.o.o., Ajdovščina, Slovenia.
The original design exhibited performance-degrading separation in the wing-fuselage junction region at high incidence angles. Using a numerical optimization approach designed to be affordable even with limited HPC resources, the separation was significantly reduced by updating the local geometry of fuselage and fairing while maintaining the wing airfoil unchanged. Shape variations were applied to the glider’s baseline configuration through a mesh morphing technique founded on the mathematical framework of radial basis functions (RBFs). Computational outputs were obtained using a combination of ANSYS DesignXplorer, ANSYS Fluent and RBF Morph software working in the ANSYS Workbench environment. Continue reading →
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