Robots Dynamics & Performance Assessment: Coupled MBD & FEA Simulation-Based Design
FEA & CFD Based Simulation Design Analysis Virtual prototyping MultiObjective Optimization
Robot designers can increase the performance of their products by using Coupled FEA and MBD software such as Ansys, Abaqus, Simpack and MSC Adams multibody simulation (MBS) software to simulate the transient dynamic behavior of the complete robot mechanism and control algorithm.
Also our engineers use System modeling software with FEA and MBD software to go far beyond kinematic modeling to provide a complete working prototype of the robot and task that it is performing, including handling, manufacturing or anything that can be done in real life. This approach enable us to understand the effects of component deformation, contacts, friction, gear backlash, vibration, etc in design step. so we can calculate the robot trajectory with a much higher level of accuracy.
MDB makes it possible to accurately simulate and diagnose the dynamic performance of the robot under any operating scenario prior to building a prototype, making it possible to increase robot performance by evaluating many different design configurations and control algorithms while getting the robot to market earlier by reducing the amount of physical testing that needs to be performed.
ADAMS SIMULATIONS HELP CURIOSITY ROVER MAKE PERFECT TOUCHDOWN ON MARS
JPL Engineers dealt with complexities involving Martian gravity, atmosphere, surface slope, and landing velocities that could not be duplicated exactly here on Earth, and relied on the simulations to gain the insight they needed to feel confident in the execution of the mission. The series of Adams simulations took place in parallel with design – but it was insight from the simulations that helped guide the design to maturity, and to prevent any failures resulting from potentially harsh loading conditions during the mission.
Adams was used to predict the loads on components and sub-assemblies and these loads in turn were used as input to structural analysis that optimized the design to provide the strength to withstand mission loads while minimizing size and weight. The philosophy of the modeling was not to try and predict every event to 100% accuracy but rather to determine the bounding limit design loads that could be expected on every component.