Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.

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.

The use of fiber-reinforced composites in Type 3, 4 and linerless Type 5 pressure vessels is growing, used to store compressed/renewable natural gas (CNG/RNG) and hydrogen as part of the global ...

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, ...

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, ...

Siemens announced a new Additive Manufacturing (AM) Process Simulation solution for predicting distortion during 3D printing. The product is fully integrated into Siemens’ end-to-end Additive ...

In this special guest feature from Scientific Computing World, Gemma Church writes that the aerospace industry is stuck in the past – but it isn’t due to a lack of new simulation and modeling ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

What happens if a financial advisor doesn’t perform a tax directive simulation on a client’s half before they withdraw funds from a retirement vehicle? Emile van der Spuy of Gravitas Tax explains.