Experimental investigation of heat treated alloy for hardness using multiple linear regression model

M. Maruthi Rao, NVVS Sudheer
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Abstract

Quenching media, temperature and time plays vital role to improve the mechanical properties of metal and alloys.  Tap water blend with cow urine different compositions hot metal at different temperature interval and quenched the blend and find the hardness values Al 2585 alloy. Cow urine contains different ingredients to enhance the mechanical properties of the meal and alloy. Ingredients like sodium and silicon some other elements present homogeneously improve properties like tensile strength, yield strength and hardness. Sodium refine the micro structure and silicon interlocking the grain boundaries of the metal. The model defined the relationship existing between the two variables of % of blend and temperature of specimen and hardness value, the dependent variables.  This was correlated with existing theories are the relationship between Hardness and two variables. A analytical model was developed for the fore casting of hardness, it was proved and certified to be a positive valuation tool for estimating the hardness on the heat treatment process.
热处理合金硬度的多元线性回归模型试验研究
淬火介质、温度和时间对提高金属和合金的力学性能起着至关重要的作用。用自来水与牛尿混合不同成分的铁水,在不同的温度间隔下对混合物进行淬火,得到硬度值为a2585的合金。牛尿中含有不同的成分,以提高粉和合金的机械性能。像钠和硅这样的成分和其他一些元素均匀地提高了抗拉强度、屈服强度和硬度等性能。钠细化了金属的微观结构,硅使金属的晶界连锁。该模型定义了共混率和试样温度两个变量与因变量硬度值之间的关系。这与现有理论相关的是硬度与两个变量的关系。建立了铸件硬度预估的分析模型,并对硬度预估在热处理过程中起到了积极的评价作用。
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