Modeling High Carbon and High Nickel Steel: Effect of Heat Treatment Time

Abstract

In order to understand the effect of heat treatment on the mechanical properties such as the yield strength (5 (02%)), ultimate stress (Su), deformation (d (%)), reduction in area of cross section (RA(%)) and Charpy v-notch test (CVN) values, a neural network analysis approach was undertaken to analyze the data obtained on 10% nickel steel. Initially the neural network was trained using the experimental data collected from 121 data sets from 10 different steel samples that were heat treated at temperatures in the range 950 - 1,050 degrees F, and for up to 1200 minutes. There was insufficient data to run the neural network analysis using the neural mode of analysis. The network analysis was made using the genetic mode over a very small heat treatment range (up to 600 min). The predicted values were then added as additional input to retrain the neural network. By repeating the above procedure three times, final neural network analysis was carried out to predict the properties of steel as a function of heat treatment time (1200 min.). There was not enough data on the CVN values to perform any mode of neural network analysis. The final predictions on the mechanical properties results conclude that the heat treatment at a given temperature (in the range 950 - 1050 degrees F) for up to 300 minutes has some effect on the 5 (02%), Su, d (%), and RA(%) values. However, prolonged heat treatment above 300 minutes and up to 1200 minutes has no significant effect.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA465559

Entities

People

  • A. S. Rao

Organizations

  • Naval Surface Warfare Center Carderock Division

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Programs
  • Data Sets
  • Experimental Data
  • Heat Treatment
  • Materials
  • Mechanical Properties
  • Neural Networks
  • Nickel
  • Nickel Steels
  • Steel
  • Surface Warfare
  • Tensile Strength
  • Training
  • Yield Strength

Readers

  • Mathematics or Statistics
  • Metallurgy
  • Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks
  • Biotechnology