The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

Fig. 1. Trade-off between fidelity/accuracy and simulation time for different solutions providing thermo-chemical analysis of composite parts during processing. Photo Credit: Convergent Manufacturing ...

Novel semiconductor technologies are creating complex process flows, which are needed to support the manufacturing of advanced 3D semiconductor structures. It can be helpful to model process flows, ...

The “composites for sustainable mobility” (CosiMo) project was launched in 2018 by Faurecia Clean Mobility (Nanterre, France) to develop a smart thermoplastic composite resin transfer molding (RTM) ...

LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

Labège, 30 may 2023 – ProSim, a provider of software and services for simulation and optimization of industrial processes, has announced the addition of an electrolyzer module in the new version of ...

The oil and gas production explosion is driving the renaissance of the chemical and process industries in North America. With low-cost natural gas comes low-cost feedstock for many chemical compounds, ...