Abstract

The monitoring and control of residual stresses and microstructure are of paramount importance for the steel industry. Residual stress annihilation is needed during the entire lifetime of steels. In this paper, we presented a stress monitoring and annihilation method, based on a force sensor for stress monitoring and an induction heater for localized heat treatment and corresponding stress annihilation. The heat treatment results indicated an at least 90% reduction of localized stresses, allowing for the implementation of the method in steel production and manufacturing to improve steel quality and perform faultless steel production and manufacturing.

Highlights

  • Localized stresses in steels are due to dislocations, precipitations, and inhomogeneities in their micro-structure [1]

  • The surface and sub-surface residual stresses type II can be determined in laboratory conditions using X-ray Diffraction in the Bragg-Brentano set-up (XRD-BB for short) [4]

  • Surface and bulk differential permeability have been correlated with residual stresses determined by XRD-BB and ND, respectively, in References [6,7]

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Summary

Introduction

Localized stresses in steels are due to dislocations, precipitations, and inhomogeneities in their micro-structure [1]. The force is dependent on the permeability of the under-test steel, and on the localized residual stresses, as determined by thesteel, MASC technique. Fast and localized increase of the steel heat treatment, on the other hand, may offer the necessary heat distribution for stress annihilation temperature can be variable frequency–variable power heatingcan [13].beThe effect without affecting theachieved rest of theby steel. Our motivation combination of stress monitoring, usingusing our MDL based based force sensor sensor as a feedback control unit, with a commercially available induction heating device, to achieve as a feedback control unit, with a commercially available induction heating device, to achieve smart smart localized stress annihilation in steels.

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