Neural Concept | Rotating Machinery Aero/Thermodynamics

NC SHAPE APPLICATION IN ROTATING MACHINERY

The design and optimization of turbo machineries is one of the most studied and challenging topics in Engineering.

Shape has proven unparalleled competence in this domain. It meets the requirements of precision and reliability while expanding the range of possibilities for current practices, to obtain improved designs at a much lower cost.

PREDICTION OF NUMEROUS INPUT PARAMETERS' EFFECT

Detailed performance maps in a few seconds.

With a trained Shape model, you can predict the effect of hundreds of variations of input parameters such as mass‑flow rate and rotation speed, in only a few seconds.

Reduced Mass-flow

FLEXIBLE
INTEGRATION INTO ADVANCED MODELING PLATFORMS

Integrated into the OMNIS Framework.

The Shape technology is integrated and coupled into the OMNIS platform, which offers all the predictive and optimization capabilities of Shape, directly integrated into an advanced modeling platform for Turbomachines.

Ask a Specialist

INDEPENDENCE FROM PARAMETRIZATION

Enter a world of freedom by gathering data from innumerable parametrizations.

If your company is using multiple representations of blade geometries and you want a model that is independent from the parametrization, Shape is made for you.

PREDICTION CORRESPONDING TO MERIDONIAL AND BLADE-TO-BLADE VIEWS

Shape is able to predict pressure and velocity fields on interactively defined 2D slices corresponding to meridional and blade-to-blade views.

Predict slices over blade-to-blade and meridional views

related resources

Blog

Download

Name

Company name

Company email

Thank you!

Our manager will contact You shortly.

Download

Email

Thank you!

The design and optimization of turbo machineries is one of the most studied and challenging topics in Engineering.

3D Convolutional Neural Network — A Guide for Engineers

From Concept to Reality: The Development of an AI-Designed Car

Challenges in Generative Design for Automotive (EV) Industry

Digital Thread: Deep Learning Applications in Engineering

Iterative Design Process: A Guide & The Role of Deep Learning

Machine Learning Based Optimization - Methods & Use Cases for Design Engineers

How Is AI Used in Mechanical Engineering?

Generative Design & The Role of AI Engineering - Applied Use Cases

Artificial Intelligence in Car Manufacturing

What Is Artificial Intelligence Engineering?

CAE Tools Used in Automotive Industry

Applications of AI in Aerospace and Defence Design: Intelligent Aerospace

Topology Optimization VS Generative Design

AI-powered CFD Tool Based on Decades of Wind Tunnel Data

How to feed an AI-powered predictive tool?

Leveraging Engineering Data to Speed-up Design Cycles

Building a successful market expansion: new collaboration between Neural Concept & CYBERNET (Japan)

Neural Concept featured in the top 100 most promising AI startups

Will AI replace engineers?

Neural Concept goes to USA: exhibitor at SAE WCX

Neural Concept raises a $9.1m Series A to scale Engineering Intelligence within industrial organizations

Mubea using Neural Concept Shape for the Design of Innovative Lightweight Components

Optimo Medical AG Accelerates Patient-specific Surgery Planning By 100 Times, thanks to Neural Concept

How Many Simulations Do You Need To Train Your Predictive Model?

Data Collection and Generation for AI Models

NCS on Hydrodynamic Applications

Multi Objective Optimization of a Car's Side View Mirror Design

DEBOSH: Deep Bayesian Shape Optimization

How is AI Digitalizing the Automotive Industry?

Integrating Geometric Deep-Learning models into Paraview

Long-term Collaboration between Plastic Omnium and Neural Concept

Renewed Collaboration between Airbus and Neural Concept

Sketch2Mesh: From Sketches to Generation and Edition of 3D Shapes

Foil Optimization with Geodesic Convolutional Neural Network

With additional funding raised and a new advisory board, Neural Concept is getting ready for a strong 2021

Speed Bicycle: Our optimized aero-bike broke two world records

Volumetric Field Predictions: A Benchmark using Neural Concept Shape

SenseFly, AirShaper and Neural Concept Designing the Ultimate Drone

Satellites: A Smarter Design for the Thermal Constraints

F1 Aerodynamics — Shape Predictions & Optimization With Neural Concept Shape

From CAD to Decision Metrics and Optimal Design in Real-time

Deep Learning for Simulation in HPC

Future Perspectives and Current Applications of Deep Learning-based Engineering

When CAE meets Deep Learning: Personal Experience sharing on a Game Changer for Engineering Processes

PSA Groupe using NCS to Optimize the Performance of Next Generation Vehicles

Design Optimization of Heat Exchangers

A Novel Approach to Turbulence Model Development using Neural Concept Shape

E-Drive Housing Designs Optimized using Neural Concept Shape

Modelling Facial Geometry using Compositional VAEs

Geodesic Convolutional Shape Optimization: Optimize Complex Shapes Fast

The Neural Concept Team is joining CNB and HTGF Families

The Neural Concept Team is Growing!

Neural Concept is in the Top 5% of the Startups rated by EarlyMetrics

Meet us at the Major Machine Learning Conferences of 2019

DSM Additive Manufacturing Event

A New World Record Attempt for our Favourite Aero-Bike

NeuralSampler: Euclidean Point Cloud Auto-Encoder and SamplerA

2 World Records Broken: Thanks in Part to our Cutting Edge Technology

Congratulations François

Neural Concept and Airbus Presenting their Collaboration

SP80 will be using Neural Concept Shape

Artificial Intelligence meets Aerodynamics – the Ultimate Drone

Deep Neural Network in Simulations

In-graph Training Loop

10 Swiss Engineering Startups to Watch in 2020

On Deep Learning and Multi-objective Shape Optimization

Top 100 Swiss Startup Award

NUMECA uses Neural Concept’s Deep Learning Platform to Study the Nature of Turbulence

Neural Concept SA and EPFL CVLab at NeurIPS 2020: “MeshSDF: Differentiable Iso-Surface Extraction.”

Training Deep Learning Models Efficiently on the Cloud