With tighter customer requirements and new challenges in an ever-changing industrial landscape, many foundries have had to utilize new technologies in creative ways to improve their process quality, cost, and efficiency to compete in the global economy.
Properly filtering iron castings involves utilizing the most optimally engineered filter print and gating system designs to ensure delivery of the cleanest and least turbulent metal to the mold cavity. In 2017, the author co-wrote an AFS paper that documented qualitative analyses of filter print designs entitled “Evaluating Iron Filter Print Designs – 30 Years Later”1. That paper utilized the most advanced fluid flow technology to assess filter print designs, and to recommend best practice application techniques and methodology to the iron foundry industry. A follow-on study was undertaken to couple quantitative analyses with the qualitative analyses to ensure that the best filter print designs were being recommended. Results from the quantitative analyses shown in this paper support the recommendations from 2017 and provide further insight on best practice filter print designs.
Presenter Tony Midea
Midea has worked more than 25 years with FOSECO using computer simulation to develop feeding system material thermal data, optimize products and to assist foundries with product applications and computer simulations. He also has six years working with NASA doing propulsion system integration for the High Speed Civil Transport and the Two-Stage-to-Orbit vehicles; and seven years working for McDonnell Douglas as Propulsion Systems performance manager for the F-15E product line, and senior engineer for the F-18, AV8B and T45 projects, as well as several “black” projects.
Midea obtained his M. S. in Aeronautical and Astronautical Engineering at the University of Illinois, and his B. S. in Aeronautical and Astronautical Engineering from The Ohio State University.
His AFS involvement includes:
Past-Chairman of Engineering Division Executive Committee (1A/B)
Past-Chairman of Process Modeling Committee (1F)
This AFS Members Only Webinar will begin at 1 p.m. CT.