Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts

Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts

Information

Authors: Robert Goldstein, Dr. Valentin Nemkov, Dr. Lynn Ferguson, Dr. Zhichao Li
Location/Venue: MS&T 2016

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Introduction

  • Induction hardening involves multiple phenomena, including: electromagnetic, thermal, metallurgical, stress and deformation
  • State of the art method is developed to couple these physics together
  • Flux software (electromagnetic and thermal capabilities) is coupled with DANTE (thermal, stress, distortion and applied load capabilities)
  • Case chosen for study is a full-float axle, dimensions typical for axles manufactured and hardened by induction heating
Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 1

Mutually Coupled Phenomena in Induction Heating Process

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 2 - Mutually Coupled Phenomena in Induction Heating Process

Axle Dimensions Used in Model

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 3 - Axle Dimensions Used in Model

Axles can be broken into 3 main regions: Radius and Flange, Shaft, and Spline

Table: Case Depths to 40 HRC
Shaft:Radius:Run-out:
5.36 mm2.7 mmto end of radius

2-Turn Coil Design

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 4 - 2-Turn Coil Design

Figure 1 shows an example of a fully assembled axle coil. Figure 2 illustrates a Flux 2D model showing mesh (left) and temperature (right) at the end of dwell.

Due to Symmetry, Single Tooth of Spline is Modeled in DANTE

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 5 - Due to Symmetry, Single Tooth of Spline is Modeled in DANTE

Finite element meshing in DANTE is displayed

Power Density in 3 Regions (Flux 2D)

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 6 - Power Density in 3 Regions (Flux 2D)

Power densities are extracted from Flux 2D and imported to DANTE

Temperature Validation Between Flux and DANTE

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 7 - Temperature Validation Between Flux and DANTE

DANTE Simulation of Scanning Process

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 8 - DANTE Simulation of Scanning Process

Stresses and Dimensional Movement after Hardening

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 9 - Stresses and Dimensional Movement after Hardening

Effect of Tempering on Residual Stresses

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 10 - Effect of Tempering on Residual Stresses

Simulation of Torsional Loads

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 11 - Simulation of Torsional Loads

Dante Simulation of Torsional Loads

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 12 - Dante Simulation of Torsional Loads

Failure Prediction

Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 13 - Failure Prediction

Conclusions

  • Electromagnetic modeling by Flux and thermal-stress modeling by DANTE were successfully coupled
  • High surface compression and high tensile stresses in core were predicted in model
  • The largest tensile stresses occur at the base of the shaft and at the spline
  • Total axial growth is 2.3 mm and radial shrinkage in shaft is 4μm. The authors have shown other papers that the axial growth and stress profiles are strongly influenced by the quenching severity.
  • Virtual Loads were applied to the axle that simulate torsional testing equipment used in industry. Failure mode predictions are similar to what has been found while testing real components, showing that the residual stresses from the heat treating process have a strong influence on the component performance.
  • Additional work needs to be done to incorporate residual stresses from manufacturing operations prior to the induction heat treating process to improve the accuracy of the predictions.
Fluxtrol | Integrated Computational Development of Induction Heat Treatment Process for Automotive Axle Shafts Figure 14 - Conclusions
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