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FEATURE A D V A N C E D M A T E R I A L S & P R O C E S S E S | S E P T E M B E R 2 0 1 9 6 0 (continued from page 10) Figure 5 is a plot at the 0.5 mm location (shown in Fig. 4) for carbon in the austenite ma- trix, carbon in carbide form, and the total amount of carbon. Although there is still carbon in carbide form, the amount of carbide is reduced. Knowing the location and distribution of pos- sible carbide formation, the component can be designed to significantly reduce the possibility of carbide formation. Figure 6 shows the same ring with a 0.5 x 0.5 mm chamfer. The chamfer reduc- es carbon build-up at the corner and significantly reduces the risk of carbide formation. Figure 7 shows the three carbon variables at the surface for the 0.5 mm chamfer model. While there is still car- bon locked up in carbide formon the surface of the ring, the amount is small andwill likely be removed by the final grinding operation. ~HTPro For more information: Justin Sims, DANTE Solutions Inc., 7261 Engle Rd. Ste. 105, Cleveland, OH 44130-3479, 440.234.8477, justin.sims@dante-solutions.com. References 1. Z. Li, A.M. Freborg, and B.L. Ferguson, Ap- plications of Modeling to Heat Treat Processes, Heat Treating Progress, p 28-33, May/June 2008. 2. Z. Li, A.M. Freborg, and B.L. Ferguson, Effective Design of Heat Treat Processes Using Computer Simulations, Proc. 24th ASM Heat Treating Soc. Conf., 2007. Fig. 7 — Plot of carbon as carbon in the austenite matrix (free carbon), carbon in carbide form (carbide) and the total amount of carbon (free carbon + carbide) at the flat section of the 0.5 x 0.5 mm chamfer on the OD surface of the ring. 3. S.N. Lingamanaik and B.K. Chen, The Effects of Carburising and Quenching Process on the Formation of Residual Stresses in Automotive Gears, Comput. Matls. Sci., Vol 62, p 99-104, 2012. 4. B.L. Ferguson, Z. Li, and A.M. Freborg, Modeling Heat Treatment of Steel Parts, Comput. Matls. Sci., Vol 34, p 274-281, 2005. 5. Li, Zhichao, et al., Press Quench Process Design for a Bevel Gear using Computer Modeling, Proc. 23rd IFHTSE Congress, 2016. 12