Designers of autonomous vehicles, drones & robots face key safety and reliability challenges when integrating machine vision & complex sensors. Engineering simulation tools can form part of a complete control loop for autonomous systems, helping to replicate the real world performance of sensors in a consistent and repeatable virtual test environment and leading engineers to solve issues before they become a problem in real life.
Learn how FEA played an important role in the redesign of Monash Motorsport’s wheel centres for their F-SAE cars – reducing the mass from 906g to 731g for each wheel centre from the 2019 to new 2020 design.
In February 2014, Curtin Motorsport Team’s Frame & Body Technical Lead Nisarg Thakrar and Chassis Thesis Project Lead John Christensen conducted torsional stiffness validation testing on the team’s 2012 chassis. The purpose of this physical testing was to determine the chassis’ actual torsion stiffness value and to validate the results predicted through FEA simulations performed…