By integrating high-speed CFD software into its platform, nTop aims to transform how engineers design high-performance products.
NEW YORK—NTop (stylized as nTop), a developer of computational design software for high-performance engineering, recently acquired Cloudfluid (stylized as cloudfluid), a German company specializing in computational fluid dynamics (CFD) software, the company said in a release.
With the addition of cloudfluid to its technology stack, nTop stated that it “provides the most advanced and complete platform for computational design, revolutionizing how engineers design high-performance products.”
According to nTop, computational fluid dynamics typically involves complex meshing and lengthy run times, making it impractical to use in rapid design iterations. Cloudfluid is reported to address this challenge with its GPU-native solver technology, which accurately predicts fluid flow without the difficulty of creating complex conformal meshes. This, coupled with nTop’s implicit geometry kernel, enables engineers to “iterate on designs in near real-time to create breakthrough products,” the company said.
“We are hyper-focused on building software that helps engineers go from requirements to design as fast as the latest computing processors allow—that’s the power of computational design,” said Brad Rothenberg, CEO of nTop, in the release. “One of the biggest bottlenecks has always been solving the physics—it takes time to mesh and converge on a solution. Cloudfluid solves this by integrating directly with our implicit modeling core, bringing CFD into the iterative computational design loop.”
The integration of cloudfluid’s high-speed CFD with nTop’s computational design platform is reported to expand applications in aerospace, defense, and turbomachinery, where fluid dynamics are crucial. Engineers can now explore complex geometries and optimize designs faster, advancing propulsion, aerodynamics, and thermal management systems, according to nTop.
At the same time, these technologies address machine learning’s data challenges, where curated simulation data is often lacking.
“This integration enhances decision-making, accelerates innovation, and improves manufacturing efficiency by enabling the cost-effective generation of high-quality simulation data for training predictive models in digital twins and design optimization,” the release stated.
In a keynote address at nTop’s Computational Design Summit in June, Bradley Rothenberg will discuss how computational design is transforming engineering and product development and enabling new forms of innovation at unprecedented speeds.