Designing products experiencing dynamic loads is a challenge faced by practicing engineers in a wide spectrum of industries. This ranges from appliances through large wind turbines to offshore oil rigs. It is important to design systems deterministically. At the same time, product needs to get to market on time with quality and reliability and within target product costs.
This webinar focuses on the optimal use of simulation and experimentation in modal analysis. Modal analysis is a system identification method that can be used to determine the natural frequencies, damping and mode shapes of a physical system, be it a gas turbine, wind turbine, automotive wheel, bridge, offshore structures. Modal Analysis can be performed on a virtual prototype and physical prototype. The tools and methods of modal analysis vary depending on whether it is done on a virtual or physical prototype.
Matthew Ladzinski, NAFEMS North America
Mr. Dhanushkodi,.D.M, TechPassion Technologies Pvt. Ltd
Dhanushkodi is the CEO and CoFounder of TechPassion, an ISO certified engineering product company building next generation tools for bridging simulation and testing. TechPassion has a product, VMAP built from several years of research in the area of system identification, dynamics and controls.
Dhanushkodi earned a B.Tech in Mechanical Engineering from Indian Institute of Technology, Madras. He did his graduate studies at the Massachusetts Institute of Technology and earned Masters in Mechanical Engineering. His graduate thesis involved the design and development of high speed positioning systems with applications in semiconductor and machine tool industry. His bachelors thesis led to the development of a custom built finite element software for analyzing rotating machinery using the cyclic symmetry. This led to a journal publication in the "Advances in Engineering Software". He worked as a Research Engineer at the General Electric Global Research Center before founding TechPassion Inc. At GE, he worked on research projects and product development programs in industries spanning automotive, locomotive, and medical imaging. He, along with his colleagues at MIT has developed a methodology of system identification of precision machines using Modal analysis.