Study on Microstructure Evolution and Process Optimization of Spiral Bevel Gear in Near-Net Shape Forging

Spiral bevel gears are critical components in automotive and aerospace transmission systems. Traditional machining methods face challenges such as low efficiency and material waste. Near-net shape forging technology significantly improves material utilization while enhancing mechanical properties through optimized fiber flow. This study investigates the microstructure evolution of 20CrMnTiH steel spiral bevel gears during multi-stage forging processes and establishes an optimized parameter combination using finite element analysis and response surface methodology.

1. High-Temperature Deformation Behavior of 20CrMnTiH Steel

The flow stress characteristics were determined through isothermal compression tests at 900-1100°C with strain rates of 0.01-5s-1. The constitutive relationship was established using Arrhenius-type equations:

$$Z = \dot{\epsilon} \exp\left(\frac{Q}{RT}\right)$$

$$ \sigma = \frac{1}{\alpha} \ln\left\{\left(\frac{Z}{A}\right)^{1/n} + \left[\left(\frac{Z}{A}\right)^{2/n} + 1\right]^{1/2}\right\} $$

Key material parameters were identified through regression analysis:

Parameter Value
Activation Energy Q (kJ/mol) 440.547
Stress multiplier α 0.009698
Material constant A 4.174×1018
Stress exponent n 7.3786

2. Forging Process Design for Spiral Bevel Gears

The manufacturing sequence includes four stages: upsetting, punching, ring rolling, and gear forming. Critical process parameters were determined through volume conservation:

$$ V_{billet} = (V_{forging} + V_{flash})(1 + \delta) $$

Process Stage Key Parameters
Upsetting Height reduction: 68%
Punching Flash thickness: 7-10mm
Ring Rolling Feed speed: 0.8-1.2mm/s
Gear Forming Mold speed: 150-250mm/s

3. Microstructure Evolution Analysis

Finite element modeling revealed distinct dynamic recrystallization (DRX) patterns:

$$ X_{DRX} = 1 – \exp\left[-k_d\left(\frac{\epsilon – \epsilon_c}{\epsilon_p}\right)^{n_d}\right] $$

Grain size evolution follows:

$$ d = \left(A_d Z^{-m}\right)^{1/q} $$

Process Stage Average Grain Size (μm) DRX Percentage
Initial Billet 45.2 0%
After Upsetting 28.7 63%
After Rolling 19.9 81%
Final Gear 11.8 93%

4. Parameter Optimization Using RSM

A central composite design with four key parameters was implemented:

Factor Range
Height-Diameter Ratio 1.5-2.7
Billet Temperature (°C) 950-1100
Strike Speed (mm/s) 150-250
Friction Factor 0.1-0.5

The response surface models for grain characteristics were established:

$$ Y_1 = 782.8 – 20.11X_1 – 1.34X_2 + 0.55X_3 + 2.98X_4 + \ldots $$

$$ Y_2 = 4.67 – 0.28X_1 – 0.035X_2 + 0.16X_3 + 0.12X_4 + \ldots $$

Optimization results showed:

Optimal Parameter Value
Height-Diameter Ratio 2.34
Billet Temperature 1025°C
Strike Speed 206mm/s
Friction Factor 0.2

5. Experimental Validation

Metallographic analysis confirmed the simulation accuracy:

Position Simulated (μm) Experimental (μm) Error
Tooth Tip 14.57 15.87 8.2%
Tooth Root 11.22 12.15 7.6%
Gear Center 7.45 8.11 8.1%

The optimized spiral bevel gears achieved grain refinement of 28.9% compared with initial parameters, demonstrating significant improvement in microstructure uniformity.

Conclusion

This study establishes a comprehensive methodology for controlling microstructure evolution in spiral bevel gear forging. The integration of thermal-mechanical simulation and response surface optimization provides an effective approach for manufacturing high-performance transmission components. Future work should focus on mold structure optimization and advanced numerical methods to further improve prediction accuracy.

Scroll to Top