Engineering Excellence: Legasys’ CFD Success with HELYX
At ENGYS, we are constantly inspired by the innovative ways our clients utilize our software to overcome complex engineering challenges. Recently, we had the opportunity to sit down with Alysson Dantas, a Process Engineer at Legasys, to discuss his experience using our CFD software, HELYX. In this interview, Alysson shares insights into his background, the […]
Simulating Conjugate Heat Transfer in CFD
In thermal simulations, most real world cases involve the transfer of heat between different states of matter, such as from solid to liquid. This is known as Conjugate Heat Transfer (CHT). Understanding the complex thermal interactions between these states allows us to enhance the thermal performance of electronics, engines, heat exchangers and much more. However, […]
ENGYS® Releases HELYX® Version 4.1.1
ENGYS is pleased to announce the release of HELYX® version 4.1.1, along with updates to all HELYX add-ons. HELYX 4.1.1 is focused on bug fixes and code refinements to address known issues found in the previous version 4.1.0. For more information, users should refer to the Release Notes provided with the software. To access the latest release, please […]
Harnessing The Power Of AI In CFD Analysis
Artificial Intelligence (AI) has exploded into almost every industry over the last few years and is expected to grow from $86.9 billion in revenue in 2022 to over $407 billion by 2027 [1]. This extraordinary growth may feel like it has sneaked up on us, but the machine learning modelling techniques that lie at the […]
Smoke Control in Subway Tunnels: Revolutionizing Safety through HPC-Based Engineering Design
Subway tunnel fires have historically posed a significant threat to passenger safety, resulting in numerous fatalities and catastrophic consequences worldwide. According to available data, between 1987 and 2003 alone, over 500 people lost their lives in subway tunnel fires across the globe. In New York City, there were 1,006 subway fires on tracks, in stations […]
ENGYS Partners with NAVASTO to Offer New AI-Powered Solutions for CFD Design
ENGYS is proud to announce its strategic partnership with NAVASTO, a cutting-edge provider of AI-powered engineering software solutions. This partnership represents a significant advance in ENGYS’ continuous thrive to improve its diverse portfolio of CFD products and expand its global presence. NAVASTO’s innovative AI-powered solutions have a proven record of success across various industries, from automotive to […]
Urban Microclimate Modelling Using CFD
At ENGYS, we take immense pride in delivering cutting-edge Computational Fluid Dynamics (CFD) solutions that drive success for our valued clients. One such instance involves our long-term partner SoftSim, a Bulgarian wind engineering consultancy, with yearlong experience in urban physics modelling and industrial process automation. Together, we embarked on the venture of developing a comprehensive, […]
ENGYS® Releases HELYX® Version 4.1.0
ENGYS is proud to announce the release of HELYX version 4.1.0. This latest version of their general-purpose CFD software reaffirms ENGYS’ commitment to delivering cutting-edge open-source simulation tools and empowering engineers worldwide to tackle complex fluid dynamics challenges with confidence. What’s New in HELYX 4.1.0: HELYX 4.1.0 features several new capabilities and improvements, including: Accessing HELYX […]
ENGYS releases HELYX and ELEMENTS v4.0.1
ENGYS is thrilled to announce the release of HELYX and ELEMENTS 4.0.1. These cutting-edge software updates mark a significant milestone in the company’s commitment to delivering open-source CFD solutions to its global stakeholders. HELYX and ELEMENTS take a leap forward with the introduction of version 4.0.1. This patch release includes a series of substantial enhancements, addressing known issues from the previous […]
The Continuous Adjoint Method For Optimization Problems
Aerodynamics is a discipline filled with optimization problems. Whether it is drag, lift or downforce, an aerodynamicists’ goal is to maximise the potential performance of an object within a set of constraints. To achieve this, the typical approach is to change an input variable and analyse the effect on the output. However, a more efficient […]