Ansys AI

Check out this video to discover how #Ansys #SimAI accelerates design space exploration and optimisation. SimAI gives engineering organizations the confidence to innovate at every stage of the product lifecycle by simplifying simulations and ensuring a secure process. Accelerate your innovations and predict at the speed of AI. Request a live demo at https://ansys.me/3A2lOpt #artificialintelligence #AI #simulation #machinelearning

𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗖𝗵𝗲𝗲𝗿 𝗮𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗲𝗱 𝗼𝗳 𝗔𝗜 This year, Santa's faster than ever! His sleigh manufacturer completely redesigned its aerodynamics. How? Thanks to generative AI, Santa's sleigh provider explored and simulated hundreds of designs in just minutes. The result? A sleigh that's lighter, more aerodynamic, and 10x faster! Ansys AI wishes you a Merry Christmas and a joyful holiday season!

Satellite imagery offers large-scale, consistent, and frequent observations of the Earth’s surface. Invaluable for decision-making in government and commercial applications, organizations are challenged with analyzing the increasing amount of data with a limited number of experts. John Ploschnitznig explains that AI offers a solution to handle this large volume of data - but the AI algorithms require training data to identify desired objects in complex SAR scenes. Ansys RF Channel Modeler will generate synthetic SAR (Synthetic Aperture Radar) data that will help train and validate these new AI algorithms. Coming very soon, Ansys will be offering a complimentary data set of a specific ground-based object detection scenario to explore how well-structured synthetic data can be used. It will enable organizations to demonstrate the effectiveness of their AI/ML detection algorithms. #AIML #SAR

Exceeding the maximum temperature in electronic devices can cause damage and shorten their lifespan. Heat sinks enhance heat dissipation, keeping devices cooler. Utilizing ~250 accurate Conjugate Heat Transfer CFD simulations, we've created an AI model for heat sinks with varying fin sizes and arrangements. This AI predicts temperature and velocity fields in just 10 seconds, with a max temperature error of ~3 K compared to CFD. The AI model allows for rapid, accurate 3D volumetric field predictions, significantly reducing design cycle time by enabling faster design space exploration and optimization for topology variations in a non-parametric way. #TechTips #HeatManagement #Electronics #AI #CFD #SimAI #artificialingelligence

𝗠𝗮𝘁𝗲𝗿𝗶𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝘀: 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝗠𝗶𝗰𝗿𝗼𝘀𝗰𝗼𝗽𝗶𝗰 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜 Microstructure determines the properties of a material. Understanding how microstructure affects properties plays an important role in disciplines such as chemistry, materials science, and engineering. With pySimAI, we automated a trained SimAI model to rapidly make predictions to capture stress field on the microstructure and the stress-strain curve. Here we predicted 40 uniformly spaced strain steps for an unseen microstructure. The animations compare the SimAI stress prediction with Ansys crystal plasticity simulation. We see great agreement on the two stress-strain curves and the stress field predictions properly captured the grains of high stress. If you want to learn more about the topic, check this free course on Ansys Innovation Space: https://ansys.me/3ZSSYCi Credits: @Jimmy He #artificialingelligence #Microstructure #simulation #Mechanicalengineering

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 + 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻: 𝗧𝗵𝗲 𝗙𝗼𝗿𝗺𝘂𝗹𝗮 𝗳𝗼𝗿 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 Generative AI is transforming industries, and when combined with simulation, the results are game-changing. Engineers are now unlocking new levels of efficiency, sustainability, and collaboration in product design. In this article, we explore: 🔹 How simulation helps optimize product design in industries like aerospace, automotive, and semiconductors 🔹 Ways generative AI accelerates workflows, automates routine tasks, and enhances creativity 🔹 Real-world applications, including ship hull optimization, chip design, and aerodynamics Generative AI isn’t just a tool—it’s a catalyst for smarter, faster innovation. Curious how it can revolutionize your workflows? #GenerativeAI #Simulation #ProductInnovation #Engineering #DigitalTransformation #Aerospace #Automotive #Semiconductors #Sustainability #FutureOfEngineering #Ansys

To build an AI model, engineers rely on high amount of simulation results coming from different sources. For this reason, it is critical to keep track of the data with the right formats and versions, something that Simulation Process and Data Management solution like Minerva does inherently. As they continue to train the AI and run more simulations, more data need to be categorized, organized, converted, and managed so that the AI model can make even better predictions. In this way, Minerva provides continuous support throughout AI training — which is often an ongoing, continuously evolving process. Check out the latest blog to learn more about efficiently managing AI training data and the steps needed to move your data from #Minerva to #SimAI : https://ansys.me/3ZWAzEY @Tom Marnik Ilya Tolchinsky @jennifer procario Maura Callahan, MBA #SPDM #Training #AIModels #predictions #datamanagement #Minerva #SimAI #simulation #ArtificalIntelligence

𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝘁𝗿𝘂𝗲 𝗰𝗼𝘀𝘁 𝗮𝗻𝗱 𝗯𝗲𝗻𝗲𝗳𝗶𝘁 𝗼𝗳 𝗔𝗜 𝗰𝗮𝗻 𝗯𝗲 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁, 𝗲𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗹𝘆 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝘀𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆. 𝗠𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗲𝘅𝗽𝗲𝗻𝘀𝗶𝘃𝗲 𝘁𝗵𝗶𝗻𝗴𝘀 𝗮 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘁𝗲𝗮𝗺 𝗰𝗮𝗻 𝗰𝗿𝗲𝗮𝘁𝗲, and it is important to understand the value that will be derived from them. That value may come in several ways, such as being able to perform analysis faster or earlier in the development flow. The cost side has to be carefully considered, as well. - 𝗪𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗰𝗼𝗺𝗲 𝗳𝗿𝗼𝗺? - 𝗛𝗼𝘄 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗶𝘀 𝗶𝘁? - 𝗛𝗼𝘄 𝗺𝘂𝗰𝗵 𝘁𝗶𝗺𝗲 𝗼𝗿 𝗲𝗳𝗳𝗼𝗿𝘁 𝗶𝘀 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗿𝗲𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹? - 𝗛𝗼𝘄 𝘄𝗶𝗹𝗹 𝗶𝘁 𝗯𝗲 𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱? Read the full article to learn more.

...𝗔𝗻𝗱 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗙𝗼𝗿 𝗔𝗹𝗹 Non-specialists and less experienced engineers can gain valuable insights into mixing processes by utilizing apps for simulations. This democratizes access to simulation tools for a wider audience. An all-in-one app streamlines the process by enabling users to generate geometries, predict simulations, and analyze results in a user-friendly interface. The showcased app in the video simplifies geometry generation and evaluates mixing tank performance using SimAI predictions. The model was trained on 30 steady, 3D Fluent simulations of diverse tank designs. This method helps save time and resources when investigating the impact of varied geometries and operational factors on mixing processes. Credits: Mustafa Kaddoura, Ph.D., Senior Application Engineer at Ansys #SimAI #machinelearning #artificialingelligence #simulation #MixingTechnology #Mixing #CFD #apps #simulation #IntelligentEngineering

𝗔𝗱𝘃𝗮𝗻𝗰𝗶𝗻𝗴 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜-𝗣𝗵𝘆𝘀𝗶𝗰𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 AI-based simulation is done in combination with high fidelity simulations, for rapid design exploration and optimization. The typical workflow is the following: 1- Train the AI model using past high fidelity simulations 2- Predict performance extremely fast for similar design alternatives 3- Validate the best designs with high fidelity solvers SimAI, the new Ansys AI platform for simulation is able to generate unparalleled AI model quality thanks to the best-in-class training data coming from Ansys solvers. Learn more about SimAI and Ansys Multiphysics on www.ansys.com #artificialingelligence #SimAI #Mechanicalengineering #simulationsoftware #CAE #Ansys