DIMAXER Combustion Simulation Software | CFD Simulation & Optimization for Gas Turbines, Boilers

Industry Challenges

Complex physical phenomena

Combustion involves coupled multi-physics processes including turbulence, multiphase flow, chemical reactions, heat transfer and radiation. Accurate calculation of these interactions is difficult, leading to large deviations between design predictions and actual performance

High experimental costs

Physical testing requires manufacturing multiple prototypes and repeated trials. Especially in aerospace (e.g. rocket engines) and automotive (internal combustion engines), test equipment, fuel and time costs are extremely high

Stringent environmental regulations

Global emission limits (NOx, CO2, soot, etc.) are becoming increasingly stringent. Enterprises must invest heavily to develop low-emission technologies, raising design complexity and costs

Trade-off between performance and efficiency

While pursuing high performance (e.g. power output of gas turbines or thrust of rocket engines), fuel efficiency and system stability must be balanced, imposing demanding requirements on design

Reliability under extreme operating conditions

Solid/liquid rocket engines, aero-engines and gas turbines often operate under extreme temperature, pressure and velocity. Designs must guarantee reliability and stability under these harsh conditions

Low efficiency in multidisciplinary collaboration

Data silos and poor collaboration among teams of fluid mechanics, chemistry and thermal engineering fragment the design workflow and extend development cycles

Demand for rapid iteration

Market competition requires fast new product launches, while traditional design and testing workflows struggle to meet rapid iteration requirements

Solution Overview

The combustion simulation solution integrates high-fidelity computational fluid dynamics (CFD), chemical kinetic modeling and high-accuracy multi-physics simulation technologies. It delivers outstanding value for high-performance combustion system design in energy, aerospace, automotive and industrial manufacturing sectors, empowering engineers to make scientific decisions. It significantly cuts reliance on expensive physical prototypes and tests, creating tangible economic and environmental benefits for combustion industry customers and advancing sustainable development and technological innovation.

Solution Advantages

NN-MDFGM Intelligent Combustion Model

The NN-MDFGM model uses neural networks to fit complex combustion laws, completely breaking free from the dimensional limitations and accuracy bottlenecks of traditional lookup-table models. It delivers compressed storage and stable computational efficiency while adapting to strongly coupled working conditions. Built upon massive accumulated high-fidelity flow field data and reduced-order reconstruction, it deeply empowers the implementation of physical AI, offering a brand-new approach for intelligent computation, operating condition prediction and structural optimization of industrial combustion.

High-Fidelity Multi-Physics Simulation

Adopts advanced CFD technologies (LES, RANS) and chemical kinetic models (species transport, FGM, etc.) to accurately simulate turbulence, chemical reactions, heat transfer and multiphase flow interactions during combustion. Supports full-scale modeling from micro-scale chemical reactions to macro flow fields and ensures high credibility of simulation results.

Emission Optimization Modeling

Built-in high-dimensional ANN FGM table generation & lookup models, with extensive chemical reaction databases (GRI-Mech, CRECK models, etc.). Precisely predicts pollutant formation, and develops low-emission combustion systems by optimizing fuel injection, mixing ratio and combustor geometry to meet environmental regulatory requirements.

Extreme Condition Simulation

Supports simulation under extreme conditions such as high temperature, high pressure and high velocity, ensuring performance and safety of rocket engines, gas turbines or aero-engines in harsh environments. The solution also simulates transient processes (ignition, flameout) to deliver comprehensive design insights.

Integrated Collaboration Platform

Provides a unified data management and collaboration platform, enabling multidisciplinary teams to share simulation data and results in real time, breaking down data silos and improving collaboration efficiency.

AI & Machine Learning Assistance

Combined with AI and machine learning technologies, it greatly accelerates combustion simulation speed. AI reduced-order modeling extracts key modes from massive simulation datasets to further boost design efficiency.

Support for Rapid Iteration

With automated optimization tools and parametric design, engineers can quickly test multiple design schemes to find the optimal balance of performance, efficiency and emissions, satisfying market demands for rapid iteration.

Combustion Simulation Solution

Reduce reliance on costly physical prototypes and tests