@article{(Open Science Index):https://publications.waset.org/pdf/10010132,
	  title     = {Production of Spherical Cementite within Bainitic Matrix Microstructures in High Carbon Powder Metallurgy Steels},
	  author    = {O. Altuntaş and  A. Güral},
	  country	= {},
	  institution	= {},
	  abstract     = {The hardness-microstructure relationships of spherical cementite in bainitic matrix obtained by a different heat treatment cycles carried out to high carbon powder metallurgy (P/M) steel were investigated. For this purpose, 1.5 wt.% natural graphite powder admixed in atomized iron powders and the mixed powders were compacted under 700 MPa at room temperature and then sintered at 1150 °C under a protective argon gas atmosphere. The densities of the green and sintered samples were measured via the Archimedes method. A density of 7.4 g/cm3 was obtained after sintering and a density of 94% was achieved. The sintered specimens having primary cementite plus lamellar pearlitic structures were fully quenched from 950 °C temperature and then over-tempered at 705 °C temperature for 60 minutes to produce spherical-fine cementite particles in the ferritic matrix. After by this treatment, these samples annealed at 735 °C temperature for 3 minutes were austempered at 300 °C salt bath for a period of 1 to 5 hours. As a result of this process, it could be able to produced spherical cementite particle in the bainitic matrix. This microstructure was designed to improve wear and toughness of P/M steels. The microstructures were characterized and analyzed by SEM and micro and macro hardness.
},
	    journal   = {International Journal of Materials and Metallurgical Engineering},
	  volume    = {13},
	  number    = {3},
	  year      = {2019},
	  pages     = {136 - 139},
	  ee        = {https://publications.waset.org/pdf/10010132},
	  url   	= {https://publications.waset.org/vol/147},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 147, 2019},
	}