Reduces the material waste from 1% to 0,25% and the energy consumption by approximately 25%.

Project: ZDZW

Publisher: IKERLAN, ERRE

Technology: Digital twin, RNNs

Industry: Induction heat treatments

INTRODUCTION

Digital twins are virtual representations used to simulate and control the complex physical processes like an induction hardening in iron-based alloys. These processes involve multiple physics aspects. While traditional modeling methods use time consuming numerical methods on powerful servers, employing recurrent neural networks simplifies and speeds up the modeling process. By leveraging digital twins and RNNs, the production process can be digitized and monitored in real-time, leading to faster analysis and improved decision-making, ultimately enhancing production efficiency.

FEATURES/BENEFITS

  • Features:
    • Real time 
    •  Unitary
    •  In depth 
    • Non destructive

  • Benefits
    • Automatic Unitary inspection
    • Automatic in-depth hardness estimation 
    • Real-time non-destructive inspection 
    • Early process failures detection

TECHNICAL INFORMATION

  • It is an in-line, automatic and unitary inspection tool 
  • It is a non-destructive inspection to have an in-depth hardness profile

RESOURCES

USE CASE

SERVICES LINKED

PUBLISHERS