The leading Advanced Process Modelling environment for the process industries
gPROMS overview
Advanced Process Modelling (APM)
Much more than process simulation
Advanced Process Modelling (APM) is a technology that uses high-accuracy predictive models of process equipment and phenomena to provide high-quality information for decision support in process innovation, design and operation.
The predictive power of an APM model results from the combination of first-principles chemical engineering, physics and chemistry with 'real-life' data such as laboratory, pilot plant or operational measurements.
gPROMS provides facities for all Advanced Process Modelling activities across the process lifecycle, from R&D through process and detailed design to online operation.
Typical applications
gPROMS is used to generate high-quality predictive information for:
gPROMS for modelling reactors
Reactors of all kinds
gPROMS for modelling complex separation
Complex separation
gPROMS for modelling crystallization
Crystallisation processes
gPROMS is the leading Advanced Process Modelling environment for the process industries. It can be applied across many application areas in all process sectors.
gPROMS' process modelling, process simulation and optimisation capabilities are used to generate high-quality information for model-based decision support in process and product design and process operations.
It is applied by major process organisations throughout the world to to provide high-quality information for decision support in product and process innovation, design and operation.
There are also approximately 150 academic institutions worldwide using gPROMS for research and teaching, ensuring that gPROMS is constantly being applied to the most challenging applications in new areas of research.
gPROMS has many major advantages over other modelling systems on the market, resulting from its modelling power and the sophistication of the models possible.
Note : u should use hjsplit /7zip to join three parts of software
here are the links
🔒 Bấm Cảm ơn hoặc Trả lời để xem Link
🔒 Bấm Cảm ơn hoặc Trả lời để xem Link
🔒 Bấm Cảm ơn hoặc Trả lời để xem Link
