We are pleased to announce that pSeven will be presenting at the NAFEMS UK conference on the topic “Automated optimization of fluid flow distribution in hydrogen fuel cells using surrogate-based methods”. The NAFEMS UK Conference is a key event for the engineering simulation community, bringing together industry experts, software developers, and end users to share best practices, real-world applications, and the latest developments in simulation-driven engineering.
This article discusses the automation of the design and optimization of the longitudinal rolling process using QForm and pSeven Desktop. The proposed solution demonstrates high efficiency and can be applied to other hot rolling technologies.
pSeven SAS, an independent provider of advanced software solutions for simulation automation and design optimization, is proud to announce the official launch of the Marketplace — a new hub designed to expand the capabilities of the flagship product pSeven Enterprise and foster collaboration across its growing user community.
Complex engineering workflows often require a seamless transition between automated process execution and interactive results analysis. It is often the case when engineers design complex workflows in one environment, execute them, and then switch to external tools to visualize or refine the results. These interruptions can reduce productivity and disrupt data traceability.
We are excited to announce that pSeven will participate in the upcoming NAFEMS themed day “Contributions of numerical simulation to the development and use of carbon-free energy sources”, which will take place on November 13, 2025, in Paris. This event highlights the critical role of digital tools in decarbonizing energy sources and optimizing complex engineering processes.
This collaboration delivers a seamless integration between Aras Innovator and pSeven Enterprise, empowering engineering organizations to accelerate innovation, eliminate silos, and bring high-value products to market faster.
This article introduces the work of the Center of Advanced Die Engineering and Technology (G-CADET), a comprehensive manufacturing research center at Gifu University, highlighting its efforts to realize the automatic search for molding process conditions and autonomous operation by leveraging big data accumulated through optimization process.
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