To the Horizon of CFD
JMatPro®
JMatPro® is a simulation software which calculates a wide range of materials properties for alloys and is particularly aimed at multi-component alloys used in industrial practice.
HESTORY
The development of JMatPro® started in 1999 and was initially funded by an international consortium of companies and institutions who were looking into extending the use of thermodynamic databases to develop the capability to predict a wide range of physical and mechanical properties for complex alloys.
Sente Software Ltd. was created in 2001 to take responsibility for the long term commercial development of JMatPro®. It now leads the development of the new scientific capabilities in JMatPro® alongside the development of its powerful graphical user interface.
All of our products combine industrial relevance with realistic physical models and user-friendly interfaces.
We have a proven track record for innovation and our products incorporate a thorough validation process.
JMatPro®
JMatPro®
JMatPro® API
JMatPro® API
JMatPro® is a powerful software which calculates a wide range of materials properties and is particularly aimed at multicomponent alloys used in industrial practice. JMatPro® modules are based on the material types shown here.
- Al alloys
- Fe alloys
- Ni alloys
- Mg alloys
- Ti alloys
- Co alloys
- Cu alloys
- Zr alloys
- Solar alloys
JMatPro® API
JMatPro® API
JMatPro® API
The JMatPro® API (Application Programming Interface) can be used to incorporate specific functionality of the JMatPro® software into your own applications. We provide the basic building blocks for you to automate and develop tasks within your own models and to integrate them into your own software.
JMatPro® MPO
JMatPro® API
JMatPro® MPO
The JMatPro® Material Property Optimiser (MPO) is a powerful optimisation tool for the design of multi-component alloys. It builds upon the calculation engine behind JMatPro® by combining it with a multi-objective optimisation method. It allows you to perform calculations aimed at identifying optimal values of decision variables that lead to desired material properties.
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