Logistical Creep Strain Prediction as Applied to Creep and Rupture of AISI 310S Austenitic Superalloy Stainless Steel: Modelling in Microsoft Office Excel and Simulation in Scilab Online Free Software

Authors

  • A. Kanni Raj
  • K. Uma Sudan

Keywords:

AISI 310S stainless steel, Larson-Miller parameter master curve, Microsoft Excel, Monkman-Grant plot, Logistical creep strain prediction, Scilab

Abstract

Engines, machines, and structures that are at elevated temperature application demand exotic and advanced materials. Superalloys and austenitic stainless steels are today’s existing materials that are designed for application in high-temperature components. Creep is a major problem with hot parts. The phenomenon of creep is time-dependent plastic flow, at a load lower than the yield strength of the materials. Modeling creep is essential in the material world because the creep test is extremely time-consuming. Logistical creep strain prediction is a robust model that predicts creep curve, creep rate, and anything relevant to assessing the creep of materials employed in hot industrial components. Using available short-term creep data, the constants or inputs of model equations are obtained with the help of Microsoft Office Excel. Then, the creep of AISI 310S stainless steel is predicted with the help of Scilab Online Software. Model output is accurate proving the robustness of the logistical creep strain prediction method.

Published

2022-04-15

Issue

Section

Articles