AI-Enabled AdditiveM Overview:

Discover the next evolution in metal additive manufacturing with AI-Enabled AdditiveM, your advanced tool for optimizing powder bed fusion (PBF) processes. By integrating a neural network trained on extensive thermal and mechanical data, this cutting-edge feature empowers users to make pre-predictions of key metrics such as average thermal history, cooling rates, and residual stresses before running detailed simulations. This functionality reduces costly trial-and-error cycles, accelerates design iteration, and enhances process control for both research and industrial applications.

Key Features of AI Integration

1. Pre-Simulation Predictions: Predict critical parameters like mean thermal history and residual stresses based on laser power, scan speed, and other print parameters before running detailed simulations.

2. Enhanced Decision-Making: Leverage AI to assess multiple configurations and reduce experimental efforts by identifying optimal process windows early in the design phase.

3. Streamlined Workflow: Seamlessly integrated into the AdditiveM interface, the AI tab provides instant insights through trained neural networks, enabling efficient and accurate process planning.