Simulation tools in process industries like oil and gas, refining, utilities and chemicals typically lean heavily toward legacy systems and practices. But with energy, pricing and competitive ...

One challenge faced by all control systems integrators (CSIs) is the prospect of testing their software before deployment. CSIs often work remotely, without having the actual equipment to manipulate, ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

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, ...

Sintering process simulation software corrects for shrinkage and distortion of binder jet 3D printed parts during sintering, minimizing trial and error Live Sinter ...

UniSim is a family of simulation software and engineering services designed to improve performance throughout the lifecycle of a processing plant. With UniSim, process manufacturers can design and ...

Mexico’s Federal Electrical Commission needed a safe way to train new operators at its Laguna Verde Nuclear Power Plant in Veracruz, so it developed a stand-alone process simulator that allows ...

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 ...

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, ...

Faced with the necessity of doing more with less—and less-experienced—staff, the power business increasingly is turning to simulators for reliable and efficient real-world training. Training ...

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