Research on Dimensional Accuracy of Large Die Castings for New Energy Vehicles

Abstract: The automotive industry’s pursuit of lightweight, efficient vehicles drives the adoption of integrated die casting technology. This study presents a comprehensive control strategy addressing die casting process optimization, heat-treatment-free materials, calibration tooling, process management, and press parameter tuning. The methodology significantly enhances dimensional accuracy in large-scale die castings, providing valuable insights for advancing manufacturing capabilities in electric vehicles.

Introduction

Global carbon neutrality initiatives accelerate the shift toward new energy vehicles. Integrated die casting emerges as a transformative technology, replacing traditional welding with single-piece structural components. Industry leaders like Tesla and NIO demonstrate its viability for critical assemblies including rear underbodies and front compartments. This research focuses on dimensional control methodologies for aluminum alloy rear underbodies, addressing the core challenge: maintaining precision in geometrically complex, meter-scale castings.

Die Casting Process Fundamentals

Definition: High Pressure Die Casting (HPDC) injects molten/semi-solid metal into dies under extreme pressure (20-120 MPa) and velocity (20-100 m/s). The process leverages rapid heat transfer under sustained pressure, expressed as:

$$ \frac{\partial T}{\partial t} = \alpha \nabla^2 T $$

where \( T \) = temperature, \( t \) = time, \( \alpha \) = thermal diffusivity. This enables fine-grained, dimensionally stable microstructures.

Integrated vs. Conventional Die Casting:

Parameter Conventional Die Casting Integrated Die Casting
Materials ADC12, A380 (T6 heat-treatable) C611, SF36 (Heat-treatment-free)
Mold Complexity Moderate High (Requires multiphysics simulation)
Clamping Force <4,500 tons >6,000 tons
Process Control Empirical formulas Real-time monitoring (vacuum, thermal)
Typical Applications Motor housings Rear underbodies, front compartments

Integrated Rear Underbody Manufacturing

The production workflow comprises four critical stages:

  1. Blank Die Casting: Molten alloy (700-740°C) injected under optimized parameters:
    $$ P_{injection} = k \cdot \frac{\mu \cdot v^2 \cdot A}{2g} $$
    where \( P \) = pressure, \( \mu \) = viscosity, \( v \) = velocity, \( A \) = cross-section area, \( g \) = gravitational constant.
  2. Trimming/De-gating: Removal of overflow material and feeding systems.
  3. Blank Calibration: Geometric correction using fixture tooling with RPS (Reference Point System) constraints.
  4. Dimensional Verification: Blue light scanning for full-field deviation analysis.

Dimensional Accuracy Control Strategy

Material Selection: Heat-treatment-free alloys prevent distortion from thermal expansion. Key compositions and properties:

Alloy YS (MPa) UTS (MPa) Elongation (%) Composition Highlights
C611 105 220 10 Si 2-7%, Mg 0.4-0.8%
SF36 120 180 10 Si 9.5-11.5%, Mn 0.5-0.8%

Calibration Tooling: Fixtures enforce dimensional stability through 6-DOF constraint:
$$ \sum F_z = 0 \text{ (A1-A4)}; \quad \sum F_x, F_y = 0 \text{ (B-pin)}; \quad \sum M_y = 0 \text{ (C-pin)} $$

Process Control:

  • Blue light scanning at all manufacturing stages
  • Key characteristic monitoring via dedicated fixtures
  • Statistical process control (SPC) for critical dimensions

Press Parameter Optimization:

Parameter Setting Range Influence on Dimensional Accuracy
Injection Pressure 30-90 MPa Dictates flow completeness
Intensification Pressure 50-300 MPa Reduces shrinkage porosity
Slow Shot Velocity 0.1-0.5 m/s Prevents turbulence
Fast Shot Velocity 3-6 m/s Determines fill time \( t_{fill} = \frac{V_{cavity}}{Q_{flow}} \)
Die Temperature 180-220°C Controls solidification gradient

Comparative Analysis

Statistical evaluation of dimensional improvements (9 measurement points):

Sample Mean Deviation (mm) Standard Deviation (mm)
Pre-improvement 9.52 1.83
Post-improvement 8.30 0.13

Hypothesis testing confirms significance (α=0.05):
$$ H_0: \mu_{pre} – \mu_{post} = 0 \quad \text{vs} \quad H_1: \mu_{pre} – \mu_{post} > 0 $$
$$ t = 2.00, \quad p = 0.032 < 0.05 \quad (\text{Reject } H_0) $$
Lower confidence limit for difference: 0.153 mm > 0

Conclusion

Integrated die casting revolutionizes electric vehicle manufacturing by enabling single-piece rear underbodies. Precision control requires synergistic optimization of heat-treatment-free alloys (C611/SF36), calibration tooling with kinematic constraints, multi-stage blue light scanning, and rigorous press parameter tuning. Statistical validation confirms dimensional deviations reduced by 86% in standard deviation. Future advancements will expand die casting applications to full vehicle skeletons exceeding 20,000 cm² projected area.

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