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Modeling and Microstructural Analysis of Induction Hardened Parts

机译:感应淬火零件的建模和微结构分析

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In the present article, an effective procedure of response surface methodology (RSM) is utilized to find the optimal values of process parameters for induction hardening of AISI 1040 steel under three different conditions of the material to predict total case depth. The three material conditions are untreated as-received (rolled), normalized, and tempered. Various process parameters, such as feed rate, current, dwell time, and gap between the workpiece and induction coil are experimentally explored. The experimental results show that the proposed mathematical models can predict the total case depth within the limits of the factors being investigated. The optimal values of process parameters have been verified by confirmation experiments. After ascertaining the optimal sample (corresponding to the best setting of induction hardening process parameters), tensile strength tests were performed so that the comparison could be done between the optimal induction hardened material and material without subjecting to induction hardening. It was concluded that the tempered is the most favorable raw material for making shafts, axles, or other automobile components during induction hardening process as almost finely distributed martensite was observed during scanning electron microscope (SEM) analysis.
机译:在本文中,采用了有效的响应表面方法(RSM)程序来找到用于AISI 1040钢在三种不同材料条件下进行感应淬火的工艺参数的最佳值,以预测总壳体深度。三种材料条件未经处理(轧制),正火和回火。实验研究了各种工艺参数,例如进给速度,电流,停留时间以及工件与感应线圈之间的间隙。实验结果表明,所提出的数学模型可以在所研究因素的范围内预测整个案例的深度。过程参数的最佳值已通过确认实验得到验证。在确定最佳样品(对应于感应淬火工艺参数的最佳设置)之后,进行抗张强度测试,以便可以在最佳感应淬火材料与不进行感应淬火的材料之间进行比较。结论是,回火是在感应淬火过程中制造轴,轴或其他汽车零部件的最有利原材料,因为在扫描电子显微镜(SEM)分析中观察到几乎均匀分布的马氏体。

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