Matt Polo
About Matt Polo
Matt Polo is a CFD Analysis Engineer specializing in 1D and 3D thermal fluid simulations, currently employed at Navistar Inc since 2014. He holds a Master's and Bachelor's degree in Mechanical Engineering from the University of Illinois at Urbana-Champaign, where he also worked as a Research Assistant.
Work at Navistar
Matt Polo has been employed at Navistar Inc as a CFD Analysis Engineer since 2014. In this role, he specializes in 1D and 3D thermal fluid simulations. His responsibilities include conducting full vehicle CFD analyses to develop and validate cooling pack components, such as heat exchangers, fans, and shrouds. Polo's work aims to meet specific program requirements and improve the efficiency of thermal management systems.
Education and Expertise
Matt Polo earned both his Master of Science and Bachelor of Science degrees in Mechanical Engineering from the University of Illinois at Urbana-Champaign, completing his studies from 2005 to 2010. His academic background provides a strong foundation for his expertise in computational fluid dynamics (CFD) and thermal simulations, which he applies in his current engineering role.
Background
Before joining Navistar, Matt Polo gained experience as a Product Development Engineer, Sr. at Navistar from 2011 to 2014. He also worked as a Mechanical Engineering Intern at Motorola in 2009 for three months. Additionally, he served as a Research Assistant in the Propellant Combustion Lab at the University of Illinois at Urbana-Champaign from 2009 to 2010, where he contributed to research initiatives.
Achievements
In his role as a CFD Analysis Engineer, Matt Polo has developed solid/fluid co-simulation modeling within CFD to analyze exhaust gas temperature loss and ground plane maximum temperature. He has also created a statistical reporting methodology to quantify the impact of test and simulation variations, which has led to cost savings by reducing the need for physical tests. Furthermore, he built a database to assess the statistical variability of critical input parameters, enhancing the accuracy of simulations.