MAGMASOFT

Key features

Autonomous Engineering™

A unique feature that uses Virtual Design of Experiments (DoE) and optimization algorithms to automatically run multiple simulations with varied parameters. It autonomously searches for the optimal and most robust process conditions (gating, temperature, etc.) to achieve desired quality and cost objectives.

Comprehensive Process Simulation

Allows engineers to simulate the entire casting process, including mold filling, solidification, and cooling, providing a full look inside the die. This predictive capability eliminates the need for many expensive physical trial-and-error cycles.

Multi-Physics & Multi-Process Support

Accurately models different physical phenomena (fluid dynamics, heat transfer, stress/strain) and supports a wide range of casting techniques, including High-Pressure Die Casting (HPDC), Sand Casting, Investment Casting, and Continuous Casting. Ensures accuracy and applicability across the entire foundry industry.

Prediction of Casting Defects

Reliably forecasts critical casting defects such as porosity, shrinkage, air entrapment (misruns), hot spots, and distortion (warpage). Allows for proactive design correction before tooling is cut.

Extensive Material & Process Database

Contains a vast, constantly updated library of thermo-physical data and process parameters for virtually all casting materials (iron, steel, non-ferrous alloys). Provides the necessary reliable input for precise and accurate simulations.

MAGMAstress (Stress & Distortion Analysis)

A dedicated module to simulate residual stresses, micro- and macro-deformations, and hot/cold crack formation that occur during cooling and heat treatment. Crucial for designing structurally sound components that meet performance specifications.

Parametric Solid Modeling & CAD Integration

Includes a geometry modeler for quickly creating runners and feeders, and supports import from major CAD formats (STEP, IGES, CATIA, NX, etc.). Facilitates easy manipulation of casting system components for optimization runs.