Solidification simulation and mold digital twin reduce mold trial times and shorten development lead time. Projects without simulation before mold making increase mold modification work by 41%. This article describes simulation input parameters, output indicators and application workflow for aluminum casting mold development.
Simulation input parameters: 3D mold and casting geometry, H13 mold thermal conductivity, A356 alloy thermophysical data, initial mold temperature, cooling water flow rate and filling velocity.
Main simulation output: melt filling sequence, solidification time field, temperature distribution, hot spot location, shrinkage porosity prediction, air trapping risk and thermal stress distribution.
Filling simulation focus: check flow front stability, identify turbulence and air entrapment position, optimize gating and vent layout.
Solidification simulation focus: verify sequential solidification, judge whether riser can feed hot spots, predict shrinkage risk index.
Thermal stress simulation: calculate mold thermal stress and casting residual stress, predict thermal crack and part warpage trend.
Digital twin model continuously imports on-site sensor temperature data during mold trial, calibrates simulation model to match real production state, improving prediction accuracy from 87% to 94%.
Simulation optimization iteration before machining: adjust cooling channel layout, riser size and vent position in virtual model, avoid physical mold rework.
Simulation report delivered together with mold design drawing, including hot spot cloud chart, filling animation screenshot and optimization suggestion list.
Simulation limitation: cannot fully predict random factors such as oxide residue accumulation and gasket aging, still rely on on-site mold maintenance.
Q1: What are the key outputs of casting solidification simulation? A1: Hot spot distribution, solidification sequence, shrinkage risk prediction and temperature field data. Q2: What benefit does mold digital twin bring to casting production? A2: Combine real sensor data to calibrate simulation model and improve defect prediction accuracy. Q3: Can simulation replace mold trial completely? A3: Simulation reduces modification frequency but cannot fully replace physical mold trial run.
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