2012 7th International Forum on Strategic Technology (IFOST) 2012
DOI: 10.1109/ifost.2012.6357727
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Changing of structure and mechanical properties of P6M5 steel for nitriding and carbonitriding in electrolyte plasma

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Cited by 3 publications
(3 citation statements)
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“…The measurement results, Figure 7, indicate that after electrolytic plasma hardening, the microhardness more than doubled: on average, from HV 231 to HV 640 kgf/mm2. When converting the hardness, the average value of the hardness of the hardened surface of the tip by the method of electrolytic plasma hardening corresponds to 54-60 HRC, which significantly exceeds the hardness of 255-260 HB of steel in the as-delivered condition [25].…”
Section: Fig 5 Cyclic Electrolytic-plasma Hardeningmentioning
confidence: 99%
“…The measurement results, Figure 7, indicate that after electrolytic plasma hardening, the microhardness more than doubled: on average, from HV 231 to HV 640 kgf/mm2. When converting the hardness, the average value of the hardness of the hardened surface of the tip by the method of electrolytic plasma hardening corresponds to 54-60 HRC, which significantly exceeds the hardness of 255-260 HB of steel in the as-delivered condition [25].…”
Section: Fig 5 Cyclic Electrolytic-plasma Hardeningmentioning
confidence: 99%
“…[9] Achieving optimum surface properties with high energy density, minimal energy, and time consumption of electrolytic plasma treatments (EPT) is extremely important from an economic and environmental point of view. [12][13][14][15][16] Today, methods such as Taguchi, [17][18][19][20] response surface method (RSM), [21,22] and artificial neural network (ANN) [23] are used for optimization and estimation in coating and tribology.This study investigates the microstructural evolution of Ti-6Al-4V under EPT thermal as a pioneer study. Moreover, a methodology of surface hardening Ti-6Al-4V alloy with graded microstructure and performance was conducted by applying the EPT thermal cycles.…”
mentioning
confidence: 99%
“…[9] Achieving optimum surface properties with high energy density, minimal energy, and time consumption of electrolytic plasma treatments (EPT) is extremely important from an economic and environmental point of view. [12][13][14][15][16] Today, methods such as Taguchi, [17][18][19][20] response surface method (RSM), [21,22] and artificial neural network (ANN) [23] are used for optimization and estimation in coating and tribology.…”
mentioning
confidence: 99%