🚀🔋 At AIT Austrian Institute of Technology, exciting progress is being made on the HELENA Project! The team is developing system-level models using their in-house modeling libraries to evaluate the performance of HELENA’s #solidstate #battery technology for both automotive and aeronautic test cases. This cutting-edge work is enabling us to understand how these innovative #batteries perform at the vehicle level through advanced numerical simulations. For the initial system-level modeling, electrical parameters are being extracted from measurement data of coin cells assembled at AIT using components from dry processing. This is a key step toward optimizing the #battery design for high-performance applications in #electricVehicles and #electricAviation. 🌍✈️ We are thrilled to see the collaboration within HELENA advancing state-of-the-art battery technology toward a greener, more #sustainable future!
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Will Quantum technologies change the future of the aerospace industry?
As we soar into the age of zero-emission aircraft, Digitalization Additive Manufacturing, self-healing materials, and much more. We are pleased to share our latest insight paper on the aerospace industry and how advanced simulation technology is becoming the game-changer in revolutionizing the sector to meet technology-specific demands. Our paper delves into the latest trends and innovations in aircraft design, propulsion systems, structural analysis, and sensor integration. #AerospaceInnovation #SimulationTechnology #FutureDemands
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E-Motor Powertrain Simulation and Test - #Simrod With Simrod's E-Motor #powertrain, a #simulation model was crafted for #motion and #acoustics analysis. By comparing test data with the analysis results, we found the #CAE model was too stiff. Using design space exploration to optimize joint representations, we significantly reduced modal frequency errors from 58% to just 3%! More on Simrod: https://bit.ly/3XNqwRJ
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In today’s competitive engineering landscape, managing noise and vibrations is crucial for success in #automotive, #aerospace, and #heavymachinery. 🚗✈️🚜 As demand for quieter systems grows, traditional methods fall short. Vibro-acoustic simulation software enables engineers to address these challenges early in the design process. 📚🔍 Discover the importance of vibro-acoustic modeling and why #VAOne is the go-to tool here: https://bit.ly/4cVLaDa #NVH #Acoustics
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🗓️ Join our Vehicle Simulation practice leader Dr. Alessandro Zanelli on Wednesday, June 12th, at 16:10 CEST for his contribution to the SAE Torino Associazione Nazionale Filiera Industria Automobilistica (ANFIA) 𝑪𝑶2 𝑹𝒆𝒅𝒖𝒄𝒕𝒊𝒐𝒏 𝒇𝒐𝒓 𝑻𝒓𝒂𝒏𝒔𝒑𝒐𝒓𝒕𝒂𝒕𝒊𝒐𝒏 𝑺𝒚𝒔𝒕𝒆𝒎𝒔 𝑪𝒐𝒏𝒇𝒆𝒓𝒆𝒏𝒄𝒆: "𝘕𝘶𝘮𝘦𝘳𝘪𝘤𝘢𝘭 𝘈𝘴𝘴𝘦𝘴𝘴𝘮𝘦𝘯𝘵 𝘰𝘧 𝘍𝘶𝘦𝘭 𝘊𝘰𝘯𝘴𝘶𝘮𝘱𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘛𝘢𝘪𝘭𝘱𝘪𝘱𝘦 𝘌𝘮𝘪𝘴𝘴𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘌𝘭𝘦𝘤𝘵𝘳𝘪𝘧𝘪𝘦𝘥 𝘓𝘰𝘯𝘨 𝘏𝘢𝘶𝘭 𝘏𝘦𝘢𝘷𝘺-𝘋𝘶𝘵𝘺 𝘊𝘰𝘮𝘮𝘦𝘳𝘤𝘪𝘢𝘭 𝘝𝘦𝘩𝘪𝘤𝘭𝘦𝘴". 🚛 The electrification of 𝐡𝐞𝐚𝐯𝐲-𝐝𝐮𝐭𝐲 𝐩𝐨𝐰𝐞𝐫𝐭𝐫𝐚𝐢𝐧𝐬 is a promising solution for reducing CO2 emissions in road transport. In this project, we explored various engine technologies combined with 48𝐕 𝐞𝐥𝐞𝐜𝐭𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧, assessing both fuel efficiency and tailpipe emissions. This was done using a system-level 𝐆𝐓-𝐒𝐔𝐈𝐓𝐄 model that includes gas-exchange and combustion, thermal management, electric components, and aftertreatment devices. 💡 Don't miss this chance to learn more about 𝐦𝐮𝐥𝐭𝐢-𝐩𝐡𝐲𝐬𝐢𝐜𝐬 𝐬𝐲𝐬𝐭𝐞𝐦 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧, register at the link in comments! #Powertrain #gtsuite #Vehicle #VirtualTesting #Innovation #CAE #simulation #GTE #WeAreGT
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Altair announced it will work with Auburn University, Samuel Ginn College of Engineering on a $1.25 million AFWERX Phase II STTR contract. The two organizations will develop analytical models for cyclonic flows, construct computational models, and study the stability of different vortex engines to address the challenges facing public and private sector aerospace organizations. The project team will use Altair FlightStream, part of the Altair HyperWorks platform, to identify optimal conditions within vortex engines: https://bit.ly/3BkhLpl #OnlyForward
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Siemens Simcenter STAR-CCM+ 🏎 Without doubt, physical wind tunnel tests remain a viable tool for any vehicle assessment. It is crucial as the ultimate validation tool late in the development cycle and relevant for early singular prototype assessments. However, with high operating cost on the one hand and the need to assess thousand of aerodynamics variants and conditions on the other, it needs to be complemented by virtual development methods. Computational fluid dynamics (CFD) simulation is the key technology to predict and understand real-world aerodynamics behavior. Based on that engineers can explore many design variants in search for optimum solutions in the most cost-efficient manner. #cfd #cae #aerodynamics #automotive
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Available in full below: #openaccess research from the SAE International Journal of Electrified Vehicles! This article proposes a coupling architecture for remotely validating powertrain assemblies using hardware-in-the-loop (HiL) simulations and machine learning algorithms. The proposed design virtually couples geographically distant test rigs or simulation systems in order to evaluate the components of a powertrain or other complex systems. This architecture allows for the validation of powertrain assemblies or the testing and evaluation of hybrid vehicles, power systems, and control systems without the need for physical prototypes. The goal is to accelerate the development process, reduce costs, and improve the accuracy and fidelity of the virtual coupling compared to direct transmission of signals. "A Coupling Architecture for Remotely Validating Powertrain Assemblies" is written by Adria Ametller, PhD and Chris Brace (University of Bath, UK). Read the full article below or download it from SAE Mobilus®: https://sae.to/4cFtnQP #research #automotiveindustry #electricvehicles
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✈️ Aerospace engineering is a never-ending journey, with each project presenting new challenges and opportunities. ✈️https://lnkd.in/etyfWQaJ With the upcoming features in Simcenter STAR-CCM+ 2410, release on October 30, we’re expanding the toolbox of aerospace engineers to reach new heights: 🛫 More fidelity through introducing the Spalart-Allmaras turbulence model, the go-to reference in the aerospace industry 🛩️ Higher accuracy on the boundray layer with Gamma Transition model compatible with Spalart-Allmaras (2406) 🌪️ More flexibility and application tailored solutions with user-defined source terms for all turbulence transition models 🚀 Advancing supersonic and hypersonic flow predictions through enhanced thermodynamic treatment of the Equilibrium Air equation of state 🌀 Push turbo-engine simulation with smoother and more stable convergence through a new blocked reversed flow boundary condition ⏱️ Go even faster with GPUs without compromising solution accuracy with key algorithmic improvements of the coupled flow and energy solver Whether you’re an aerospace simulation engineer, optimizing a commercial aircraft for subsonic flight or pushing the limits of high-speed aerospace engineering we are here to lift you to new heights. ✈️ Find out more in this comprehensive deep dive blog by Daniele Obiso #simcenter #aerospace #cfd
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🚗🔋 Exciting Learning Experience in EV Simulation! 🔋🚗 Thrilled to share that I recently attended a workshop on the basics of electric vehicle simulation using Ansys. It was a fantastic opportunity to dive deeper into the technical side of EV design and understand the fundamentals of simulation in this space. During the session, I explored the crucial aspects of modeling and simulation in Battery Thermal Management System and Key Components in EVs, and learned about how Ansys tools can be leveraged to optimize design and performance. A big thank you to the organizers for the insightful workshop! This experience has further fueled my passion for electric vehicles and their potential to reshape the future of mobility. #ElectricVehicles #Simulation #Ansys #SustainableMobility #EV
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⚡ E-Motor Powertrain Simulation and Test With #Simrod ⚡ Simrod's E-Motor #powertrain crafted a #simulation model for #motion and #acoustics analysis. The authors found the #CAE model was too stiff by comparing test data with the analysis results. Using design space exploration to optimize joint representations, they significantly reduced modal frequency errors from 58% to just 3%! 🌎Marketing for Your Business: https://lnkd.in/eWTfgS43 Source: Maya HTT
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