Fluid Machine Learning

Dive deep into Fluid Mechanics with over 29 hours of advanced engineering insights and hands-on CFD applications.

Accurate fluid level measurement in dynamic environments can be assessed using a Support Vector Machine (SVM) approach. SVM is a supervised learning model that analyzes and recognizes patterns. It is a signal classification technique which has far greater accuracy than conventional signal averaging methods.

Design with CST, Analyze with XFOIL, and Optimize with Deep Reinforcement Learning

Accurate fluid level measurement in dynamic environments can be assessed using a Support Vector Machine (SVM) approach. SVM is a supervised learning model that analyzes and recognizes patterns. It is a signal classification technique which has far greater accuracy than conventional signal averaging methods.

The software developer Altair is pleased to announce the availability of Flow Simulator 2021.1.0 is the single, unified fluid system design tool/platform for GE Aviation’s Thermal System design, Combustion, Lube/fuel systems, and externals teams. It is rooted in decades of practical usage and experience, with aerospace-quality level validation and verification.

Seismic Interpretation for Hydrocarbon prospect maturation, Risk analysis, Attribute, AVO, DHI for Oil & Gas Exploration

Model Physical Systems using ONLY DATA

Altair is pleased to add GE’s Flow Simulator software to the Altair Partner Alliance (APA) and to announce the availability of version V18R1.1. Flow Simulator is an integrated flow, heat transfer, and combustion design software that enables mixed fidelity simulations to optimize machine and systems design.