Open AccessEnergy Saving Melting and Revert Reduction Technology (Energy-SMARRT): Surface/Near Surface Indication - Characterization of Surface Anomalies from Magnetic Particle and Liquid Penetrant Indications
Author(s) -
James J. Griffin
Publication year - 2014
Language(s) - English
Resource type - Reports
DOI - 10.2172/1123477
Subject(s) - scrap , process engineering , rework , materials science , casting , characterization (materials science) , work (physics) , yield (engineering) , truck , efficient energy use , mechanical engineering , surface energy , reduction (mathematics) , nuclear engineering , environmental science , composite material , automotive engineering , computer science , metallurgy , engineering , nanotechnology , electrical engineering , mathematics , embedded system , geometry
The systematic study and characterization of surface indications has never been conducted. Producers and users of castings do not have any data on which they can reliably communicate the nature of these indications or their effect on the performance of parts. Clearly, the ultimate intent of any work in this area is to eliminate indications that do in fact degrade properties. However, it may be impractical physically and/or financially to eliminate all surface imperfections. This project focused on the ones that actually degrade properties. The initial work was to identify those that degrade properties. Accurate numerical simulations of casting service performance allow designers to use the geometric flexibility of castings and the superior properties of steel to produce lighter weight and more energy efficient components for transportation systems (cars and trucks), construction, and mining. Accurate simulations increase the net melting energy efficiency by improving casting yield and reducing rework and scrap. Conservatively assuming a 10% improvement in yield, approximately 1.33 x 1012 BTU/year can be saved with this technology. In addition, CO2 emissions will be reduced by approximately 117,050 tons per year