Research on Continuous Cold Extrusion Process and Die Technology for Spur Gear

This paper systematically investigates the continuous cold extrusion process and mold optimization technology for manufacturing spur gears in heavy-duty mechanical transmission systems. A comprehensive technical framework is developed through finite element simulation, Kriging modeling, and genetic algorithm optimization, providing theoretical guidance for industrial production of high-precision gears.

1. Process Design and Numerical Simulation

Three cold extrusion schemes were developed for manufacturing sun gears with external spur teeth and internal splines:

Scheme Process Flow Key Characteristics
Scheme 1 Simultaneous extrusion of internal/external teeth → External tooth sizing High process integration but severe plastic deformation
Scheme 2 Continuous external tooth extrusion → Combined sizing/internal tooth forming Medium material utilization with dimensional instability
Scheme 3 Continuous external tooth extrusion → External tooth sizing → Internal tooth machining Optimal solution with 92.6% material utilization

The constitutive equations for plastic deformation were established using rigid-plastic finite element theory:

$$ \sigma_{ij,j} = 0 $$
$$ \epsilon_{ij} = \frac{1}{2}(u_{i,j} + u_{j,i}) $$
$$ \sigma = H\int d\epsilon $$

2. Die Cavity Parameter Optimization

Key parameters of continuous extrusion die cavity were optimized through single-factor analysis:

Effect of Die Entrance Angle (α) on Forming Quality
α (°) Max Load (ton) Crown Depression (mm) Tooth Tip Collapse (mm)
40 321 7.0 1.5
55 273 5.2 1.1
60 268 5.0 1.0

The optimal parameters were determined as α=55° and split thickness b=1mm, reducing forming load by 15% while maintaining dimensional accuracy.

3. Combined Die Structure Optimization

A Kriging-GA hybrid optimization strategy was developed for three-layer combined dies:

$$ y(x) = f^T(x)\beta + Z(x) $$
$$ \text{Cov}[Z(x_i),Z(x_j)] = \sigma_z^2 R_{ij}(\theta,x_i,x_j) $$

Latin Hypercube Sampling generated 30 design points for six key parameters:

Optimization Results for Combined Die
Parameter Optimal Value
D1 (mm) 88.35
N2 1.7872
λ2 0.0025
Max Stress (MPa) 1368

The optimized structure reduced maximum equivalent stress by 41.7% compared with initial design, effectively preventing longitudinal cracking.

4. Production Verification

Key process parameters for spur gear manufacturing:

$$ \text{Billet Preparation: } \varnothing_{\text{ext}}=102.4^{+0.2}_{-0.1}\text{mm}, \varnothing_{\text{int}}=50^{+0.16}_{-0}\text{mm} $$
$$ \text{Annealing: } T_{\text{max}}=780^\circ \text{C}, t_{\text{hold}}=3\text{h}, \text{Hardness} \leq 135\text{HB} $$
$$ \text{Lubrication: } \mu=0.12, \tau=0.25\sigma_y $$

5. Conclusion

This research establishes a complete technical system for spur gear cold extrusion manufacturing:

1. Continuous extrusion process improves production efficiency by 40%
2. Kriging-GA optimization reduces die stress concentration by 35-42%
3. Water-based polymer lubrication decreases processing steps by 60%

The developed methodology provides theoretical guidance and practical references for precision forming of medium-modulus spur gears in automotive applications.

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