ENGYS releases HELYX v3.3.0 – Open-source CFD for Enterprise
ENGYS is delighted to announce the release v3.3.0 of HELYX, a general-purpose Computational Fluid Dynamics (CFD) software solution for engineering design and optimisation based on ENGYS’ own open-source simulation engine (HELYX-Core). The new release also includes updates for all of HELYX’s add-on solver modules, namely: Adjoint, Coupled, Marine and Hydro. HELYX 3.3.0 offers a wide […]
Simulating Complex Boundary Motion with Generalized Internal Boundaries (GIB)
Simulating complex boundary motion can be crucial when evaluating product performance, and in some cases extremely challenging to perform. Rigid body simulations with large transformations render mesh morphing approaches virtually useless due to the need for continuous smoothing and re-meshing to maintain acceptable cell quality and prevent divergence. Ultimately, engineers are forced to alter their […]
Open-Source CFD Solutions for the Marine Industry
Throughout the marine industry, there are many design and optimization challenges. Many of which can be further understood and solved by leveraging CFD simulation effectively. In a webinar, Paolo Geremia discussed ENGYS’ efforts towards enabling the marine industry to perform complex simulation and analysis tasks with HELYX and HELYX Marine Add-On to:
Surface Optimization with Continuous Adjoint
Engineers routinely seek to improve their designs in order to increase a device’s efficiency, reduce energy losses, and increase performance at a new operating point. This is of course when the right driving forces (business or engineering) exist and design improvements are economically feasible. Oftentimes, the methods we use to improve designs rely on the […]
Enhanced Topology Optimization with Multi-Objective Continuous Adjoint
Topology optimization has proven to be an integral tool in the virtual prototyping process within industry. Engineers leveraging next generation optimization methods, such as continuous adjoint, can quickly gain valuable insight needed to enhance their products. Oftentimes, real designs must satisfy multiple objectives e.g. maximizing mass flow while maximizing swirl for an inlet port of […]
Cloud Computing with HELYX and Penguin Computing On-Demand
Companies using simulation in their design process, often utilize a spectrum of computing resources to meet budgetary and uptime requirements, manage security risks, and remain flexible in order to use only as much compute time as needed. The types of computing paradigms include running on local workstations; local high performance computing (HPC); remote HPC; and […]
Machine Learning for Accelerated Aero-Thermal Design in the Age of Electromobility
Artificial Intelligence (AI) coupled with traditional Compute Aided Engineering (CAE) tools provide the potential of transforming the engineering design process. This is one of the driving forces behind the UPSCALE Project, specifically applied to the future design of electric vehicles. The EU project is a collaboration of several industrial and academic partners, where ENGYS is […]
Automating CFD Analysis Tasks with PYTHON and HELYX
Increase simulation agility, improve team efficiency, and reduce costs by automating computer aided engineering (CAE) tasks. This is especially true for computational fluid dynamics (CFD) analysis tasks, where routine workflows can be systematically analyzed, built into best practices, and refined. These routine tasks are present across industry and can range from:
Simulating Conjugate Heat Transfer Multiphysics With HELYX
In real world flows, we often see combined modes of transport phenomena in which momentum + heat transport occurs simultaneously within and between fluid and solid regions. Systems that involve thermal energy transport within multiple fluid and/or solid regions, and possess energy exchange at the defined interface of the domains, are often called called conjugate […]
Introduction to Meshing with HELYX
Creating a computational mesh is an extremely important step in the overall process of CFD analysis. A “bad” mesh leads to solver instability; poor resolution of important flow features; poor parallel performance of your solver; and in general, inadequate and inefficient use of CFD as a design tool. A “great” mesh enables your CFD solvers […]