Physics-driven LPBF
optimal parameter selection
Turn thousands of parameter experiment evaluations into a single click. Enter your alloy composition, let our Physics‑Driven LPBF optimizer run, and receive the optimum LPBF print parameters—all without costly print trials.
The Precision Pipeline
Our systematic approach transitions from chemical composition to validated process parameters through layered physical simulations.
Define your material
User inputs chemical composition or selects a standard alloy.
Simulate solidification
Performs Scheil solidification calculation for solidus/liquidus temperatures.
Compute thermal field
Physical model calculates transient temperature distribution and melt pool geometry.
Optimise window
Algorithms suggest optimal laser power, scan speed, hatch spacing, and layer thickness.
Apply parameters
Export parameter sets or feed them into your print setup directly.
Scientific Integrity in Additive Manufacturing
Stop relying on "best-guess" heuristics. LPBFopt bridges the gap between material science and machine execution with absolute precision.
Physics-native
Built on first-principles models, not heuristics. Transparent and explainable. Our models account for laser-matter interaction, Marangoni convection, and phase transformations.
Cloud-native
Runs entirely in the cloud, no heavy hardware or IT barriers. High-performance computing (HPC) power accessible via any web browser, enabling rapid iteration cycles.
All-parameters
Comprehensive optimization across all key parameters for multiple alloys. We don't just optimize power; we balance hatch distance, scan strategy, and recoating speed.
Customer Tailor
Calibrated for specific customer 3D printers for high precision. We integrate machine-specific optical train data and powder bed characteristics for digital twin accuracy.
Ready to eliminate trial and error?
Join top-tier research institutions and aerospace manufacturers using LPBFopt to stabilize their additive manufacturing workflows.