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Resonance has always been a serious source of noise, mechanical wear and dynamic instability, particularly in large complex drivetrains that need to go through unpredictable duty cycles. Many modeling techniques have been developed over the years to help engineers to identify the net resonances of their systems so that appropriate steps may be taken to attenuate them without adding inefficiencies into the design.

This webinar will introduce the use of advanced symbolic and numeric techniques to identify the vibrational behavior of drivetrain models that have been developed in MapleSim and analyzed in Maple.

Dr. Sam Dao, Application Engineer, Maplesoft
Dr. Dao received his PhD degree in Mechatronics from the Dept. of Mechanical and Mechatronics Engineering at the University of Waterloo. He is currently an Application Engineer at Maplesoft. Originally part of Dr. John McPhee's research team, Dr. Dao has been involved in many research projects including multiple robot networking, hybrid electric vehicle modeling, and battery modeling.

Dr. Mahamudul Hasan, Computational Engineer, CENTA ANTRIEBE Kirschey GmbH
Dr. Hasan received his MSc in Computational Engineering and his PhD degree in Mechanical Engineering both from Ruhr University Bochum in Germany. He is currently working as a Computational Engineer at CENTA ANTRIEBE Kirschey GmbH. He is experienced in the areas of Vibration Simulation; Coupling Dynamics with Engine and Finite Element Analysis.