Site icon

Newsletter Week 47

Industry News
34

Altair and Wichita State University’s NIAR Sign MoU to Accelerate Aerospace Innovation

Altair and Wichita State University’s National Institute for Aviation Research (NIAR) have signed a MoU to accelerate aerospace innovation. The partnership will emphasize on 

  • Bringing digital twin technology to industry
  • Supporting startups
  • Exploring new applications
PC ENGYS Ltd

Planqc Brings Quantum Computing to Aviation on Behalf of DLR QCI – with TUM, ENGYS and Airbus

The project led by Planqc has been selected by the German Aerospace Center (DLR) Quantum Computing Initiative to bring quantum-computing methods into aviation simulation. In collaboration with ENGYS, Airbus Operations and Technical University of Munich (TUM), the work will target two pilot projects: aerodynamic flow simulation and aeroelasticity prediction. These efforts aim to accelerate aircraft design, improve accuracy and support sustainability by leveraging quantum or quantum-inspired algorithms in traditionally heavy computation areas.

Keysight Completes Acquisition of Synopsys’ Optical Solutions Group and Ansys’ PowerArtist

Keysight Technologies, Inc. has completed the acquisition of both Synopsys, Inc.’ Optical Solutions Group and Ansys, Inc.’ PowerArtist business. 

The acquisitions are expected to strengthen Keysight’s design and engineering software portfolio by adding advanced optical design platforms (such as CODE V, LightTools, and LucidShape) and RTL power analysis technology. With these additions, Keysight aims to boost its system-level multi-physics simulation strength across photonics, optics, RF, analog and digital domains.

Product News
PC Bramble CFD Limited

Smarter Simulations: Introducing Meancalc

Meancalc, by UpstreamCFD, is a run-time control tool for CFD simulations. Upstream CFD is a team of engineers focused on making simulation smarter, and quicker. 

Meancalc is designed to handle two key tasks:

  • Automatically detects when the initial transient has passed
  • Continuously checks for statistical convergence

By working on the go during the simulation run, Meancalc delivers more accurate and reliable CFD results without requiring any additional user input.

SimulationX 2025

SimulationX 2025 marks the first major release since the ESI–Keysight merger, bringing an upgrade to the system-simulation platform. The update introduces enhanced libraries for batteries, heat transfer, and ship energy systems, including detailed battery cell/stack models and two-phase heat-exchanger capabilities. A new FEM import tool (beta) enables users to generate elastic 3D models from reduced FEM data. Usability improvements include customizable multi-view layouts, command-line batch execution, and smoother workflows. The release also strengthens FMU export, allowing license-free and IP-protected model sharing. With its focus on electrification, thermal management, and complex energy systems, this upgrade is particularly aimed at automotive, energy, and marine industries. Overall, SimulationX 2025 expands multi-domain modeling with more realism, flexibility, and efficiency.

PC BETA CAE Systems

BETA CAE Systems has released version v25.1.3 of its SPDRM software

This update brings several enhancements such as improved error visibility in scheduled job executions and faster processing of large print-message volumes. 

Additionally, it fixes known issues including search queries not returning expected results, remote “nogui” task failures in certain database environments, and visibility problems with role-based data values. 

The release also updates documentation (installation guide, API guides) and specifies platform/support requirements for the SPDRM client and server.

Industry Events
PC Cadence Design Systems

Cadence : Accelerated Learning 

Cadence has launched an engaging online training initiative titled “Accelerated Learning,” available through its training portal. The program allows participants to build on what they already know while mastering new concepts at their own pace. Designed for engineers and designers, it provides structured, interactive learning paths that help users upskill quickly and apply their knowledge to real-world design challenges.

With modular courses, hands-on exercises, and guided learning tracks, “Accelerated Learning” bridges the gap between foundational understanding and advanced design expertise—empowering professionals to stay ahead in the rapidly evolving world of electronic design automation (EDA). 

CONVERGE for Battery Systems – Hands-on Training

This course provides a practical introduction to using CONVERGE for battery modeling. Participants will learn how to set up air- and liquid-cooled battery pack simulations to study thermal management using conjugate heat transfer (CHT). The session will also cover different methods for modeling heat generation within battery cells.

In addition, the course will demonstrate how CONVERGE’s SAGE detailed chemistry solver can simulate gas-phase combustion of vent gases and solid-phase thermal runaway reactions. A series of case studies on thermal runaway propagation will be presented to show how CONVERGE can be applied to real-world battery safety and design challenges.

Date: November 18, 2025 

Time: 9:00 AM – 12:00 PM CET

A Comprehensive Introduction to the Simulation Ecosystem for Photonic ICs

Ansys is hosting a webinar, “A Comprehensive Introduction to the Simulation Ecosystem,” which intends to present a clear roadmap for engineers and researchers who want to navigate from device-level physics all the way to system-level validation. 

Key takeaways include:

  • Understanding the end-to-end simulation workflow: material and device physics → compact models → circuit-level simulation → full system validation. 
  • Insights into how photonic integrated circuits (PICs) and other complex components are modelled using multiphysics solvers (FDTD, MODE, HEAT, CHARGE) and then integrated into higher-level system flows. 
  • Learning how simulation tools connect across domains (optical, electrical, thermal) and provide seamless interoperability from component-to-system.

Date: November 20, 2025

Time: 11 AM IST

Company in Focus
PC Bramble CFD Limited

Bramble CFD

In this edition of The Simulation Pulse, we spotlight Bramble CFD, a UK-based firm dedicated to re-shaping how engineers use Computational Fluid Dynamics (CFD). The company’s roots trace back 25 years to the founding team at TotalSim (originally Advantage CFD), who served major motorsport and performance-engineering clients. 

What Bramble CFD Does

Bramble’s core offering is a cloud-native CFD platform that handles the pre-processing, solver execution and post-processing in one streamlined environment—accessible through a standard web browser. 

Key value propositions include:

  • No up-front license or subscription fees: the platform uses open-source solver technology and offers pay-as-you-go pricing for compute cycles. 
  • Productivity gains: Bramble claims up to a five-fold increase in overall CFD workflow speed thanks to automation and built-in methodology. 
  • Data-management and consistency: Simulations, results and methodology are housed in a unified environment to support repeatability and cross-project knowledge sharing. 
  • Industry breadth: While rooted in automotive and motorsport, Bramble also supports applications in naval, building HVAC and cycling aerodynamics.
Technology Focus
PC Ansys Inc.

Seeing Double: How Digital Twins Are Advancing the Defense Industry

Digital twins are becoming a game-changer in the defense world. Think of them as virtual replicas of aircraft, vehicles, or equipment that let engineers test and refine designs long before anything is physically built. For example, instead of waiting months for a prototype drone, a team can use its digital twin to see how it reacts to extreme weather or radar detection — all on a computer screen. This not only speeds up development but also helps defense teams stay ready for fast-evolving threats.

What’s interesting is how these twins continue to work even after the real system is deployed. As sensors feed live data back into the model, engineers can predict failures before they happen or adjust performance on the fly. It’s like giving every critical asset a “virtual co-pilot” that’s always watching, learning and helping teams make smarter decisions — ultimately making missions safer and more reliable.

Exit mobile version