Numerical Simulation and Process Optimization of High-Pressure Steam Chamber Steel Casting

Steam turbine components operating under extreme thermal and mechanical stresses require exceptional material integrity. This study focuses on the sand casting process optimization for ZG15Cr2Mo1 steel castings used in high-pressure steam chambers, combining theoretical analysis with ProCAST-based numerical simulations to address shrinkage defects.

1. Material Characteristics and Casting Requirements

The chemical composition of ZG15Cr2Mo1 steel casting is detailed in Table 1. With liquidus temperature at 1501°C and linear shrinkage rate of 1.8%, proper riser design becomes critical for defect mitigation.

Table 1. Chemical Composition of ZG15Cr2Mo1 Steel Casting (wt.%)
C Mn Si Cr Mo S P
≤0.18 0.40–0.70 ≤0.60 2.00–2.75 0.90–1.20 ≤0.030 ≤0.030

For every 0.01% reduction in C content, Mn content may increase by 0.04% up to 1.2% maximum.

2. Casting Process Design Fundamentals

The casting geometry (1648×620×1077 mm) requires careful thermal management. Key process parameters include:

Pouring temperature: 1580–1600°C
Mold material: Phenolic resin-bonded sand
Coating: Alumina-based alcohol coating

The critical pouring time is calculated using:

$$ t = \frac{G_L}{N \cdot n \cdot v_{\text{package}}} $$

Where:
\( G_L \) = Total molten steel weight (2094.8 kg)
\( v_{\text{package}} \) = Pouring rate (120 kg/s)

This yields theoretical pouring time \( t = 17.46 \, \text{s} \), rounded to 18 s for practical implementation.

3. Solidification Analysis and Defect Prediction

Initial ProCAST simulation revealed significant shrinkage defects in heavy sections (Figure 1). The shrinkage volume (\( V_s \)) in critical regions follows:

$$ V_s = \beta \cdot V_c \cdot (1 – f_s) $$

Where:
\( \beta \) = Solidification shrinkage coefficient (4.2% for ZG15Cr2Mo1)
\( V_c \) = Component volume
\( f_s \) = Solid fraction

4. Process Optimization Strategy

Modified gating system and chilling strategy achieved defect reduction through:

  1. Riser optimization using modulus method:
    $$ M_r = 1.2 \cdot M_c $$
    Where \( M_r \) = Riser modulus, \( M_c \) = Casting modulus
  2. Strategic chill placement:
    $$ t_{\text{chill}} = 0.24 \cdot Q \cdot \left(\frac{V}{A}\right)^2 $$
    Where \( Q \) = Chill efficiency factor
Table 2. Process Parameters Before/After Optimization
Parameter Initial Optimized
Riser Volume (L) 42 68
Chill Mass (kg) 0 156
Shrinkage Porosity (%) 5.34 2.71

5. Thermal Gradient Control

The optimized temperature gradient (\( \nabla T \)) ensures directional solidification:
$$ \nabla T = \frac{T_{\text{riser}} – T_{\text{chill}}}{d} \geq 25 \, ^\circ\text{C/cm} $$

Where \( d \) = Distance between riser and chill

6. Industrial Implementation

The final steel casting process demonstrates:

  • Zero macroshrinkage defects
  • UT inspection compliance with ASTM A609 standards
  • Production yield improvement from 68% to 83%

This systematic approach combining numerical simulation with fundamental casting principles provides a reliable methodology for complex steel casting production, particularly for high-integrity components in thermal power systems.

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