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| Screenshots of the engineML GUI |
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engineML suite |
| The engineML database and software can be used to store your experimental and model data for improved data exchange between models and engineers. A formal methodology ensures that your models can be automatically and systematically validated against experimental data. |
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| “The engineML database and software establishes a systematic methodology for more rapid and robust model development and design of experiments” |
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| Methodology overview for systematic model and experimental development |
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| Major benefits |
- Data repository for experiments and models
- Improved data collaboration within and between departments
- Valuable experimental data is stored formally in a standardised format
- Experimental data is integrated with model developments
- Systematic model development methodology is established
- User models can be set-up, executed, optimised and visualised through a Graphical User Interface (GUI)
- Models can range from simple empirical relationships to detailed CFD
- Engine performance and calibration
- Emissions analysis etc.
- Can be tailored to fulfil your requirements
- Complete and committed technical support
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| Key features |
- Simple storage database structure
- Human and machine readable with tree-like structure
- Useful today and can be extended easily for tomorrow’s applications
- Stored with detailed description of the content and with associated errors
- Fundamental, research and production engine measurements
- Store point and time dependent data of any type
- Can be used to tore all relevant data such as transient or steady state
- Data visualised using a desktop based Graphical User Interface, GUI
- Data can be viewed as graphs or tables
- Seamless integration where models can be manipulated and executed from the interface
- Tool to convert existing databases into engineML format
- Platform independent
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user stories |
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See how our customers are using this product:
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