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How can I increase the value of the horizontal axis (time)?
After training the romAI model, I created a block to compare the results between romAI and Modelica. After running, my result shows max time = 30, while on the help page it shows max time = 500. How can I adjust the max time?
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Accelerating EDEM Material Model Calibration with romAI: A Case Study from Uniaxial Compression Test
Authors: Ambrish Singh and Spyridon Mallios 1.0 Introduction A Discrete Element Method (DEM) simulation can provide critical insights into the behavior of granular media subjected to various environmental, process, and operating conditions. However, prior to modeling process of interest, ensuring that the DEM simulation…
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Active & Reactive Power Control with PSIM-trained Dynamic Reduced Order Models (romAI)
PSIM is a powerful simulation tool for power electronics, known for its fast performance. However, when simulating systems with lots of power converters, the overall simulation time can become significantly long. To address this, we are exploring methods to simulate multiple converters more efficiently, including AI…
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Introduction to AI Powered Engineering - romAI
Welcome to this introductory video on romAI – a cutting-edge solution transforming the way we approach engineering with the power of Artificial Intelligence and Reduced Order Modeling (ROM). Whether you're working in mechanical, aerospace, automotive, or multiphysics domains, romAIoffers a seamless way to harness AI for…
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Leveraging AI for Reduced-Order Modeling of Induction Machine
In this video, we explore how Artificial Intelligence is transforming the modeling and simulation of Induction Machines using Reduced-Order Modeling (ROM) techniques. Traditional high-fidelity simulations can be computationally expensive and time-consuming. By applying AI-powered ROM, engineers can: ✅ Achieve near…
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AltairのAI搭載エンジニアリングソリューションに関するよくある質問5選
エンジニアリング用途向けのAIは、私のノートPCで動きますか？それともクラウドアクセスが必要ですか？ AIを活用したエンジニアリングソリューションはノートPC上でも動作可能ですが、流体解析（CFD）などの負荷の大きいタスクには、クラウド上のハイパフォーマンスコンピューティング（HPC）を使う方が効率的です。 とはいえ、Altairの physicsAI、romAI、HyperWorks プラットフォーム、RapidMiner プラットフォームは、いずれもノートPCから利用できます。必要に応じてクラウドコンピューティングへ簡単に接続できるワークフローも備わっています。…
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romAIを用いたパワーコンバーターのAIサロゲートモデル
このセッションでは、Altair romAI を使用して PSIM パワーコンバーターのサロゲート AI モデルを構築する方法をご紹介します。これらの AI 低次元化モデル（ROM）は、システムのダイナミクスを高精度に捉えつつ、システムシミュレーションをはるかに高速に実行することを可能にします。バッテリー充電アプリケーションにおけるパワーコンバーターのシミュレーションは、しばしば計算コストが高く、バッテリー充電システムの解析に必要な長期間のシミュレーションは、非常に時間のかかるプロセスです。Altair romAI は、リアルタイムよりも高速な結果を生成できるため、設計の評価と改善に集中することができます。…
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Accelerating Induction Motor Modeling with AI-Based Reduced Order Models
📌 Introduction Accurately predicting the performance of induction machines across varying operational conditions is essential for robust electric drive design—especially in automotive and industrial applications. However, full Finite Element Analysis (FEA) simulations, while accurate, can be extremely time-consuming and…
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AI Surrogate Models of Power Converters with Altair romAI | Webinar Recording
This session shows how to build surrogate AI models of PSIM power converters using Altair romAI. These AI reduced-order models (ROMs) can be used to run system simulations much faster, while still capturing system dynamics with high accuracy. Power converters in battery charging applications are often computationally…
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Transient Dynamics in Grid Interface Converters using romAI & PSIM
Problem Statement The increment of renewable energy sources has introduced issues that concern the integration of them in the electric grid without influencing its stability. This new challenge on the way to electrification has created a need for capturing transient phenomena in a short - time simulation. The further…
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New Sessions added to the Power Conversion Series and other upcoming Community Events
Hi Everyone, Exciting Update! We added 2 more sessions to our ongoing Community Power Conversion and Motor Drive Chat Series. It is technical series where we will showcase the new capabilities of Altair’s power electronics and power conversion design tools. This monthly series is designed to showcase the latest…
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Training a neural network with PSIM data using romAI
Artificial Intelligence is being increasingly applied in engineering to streamline processes while maintaining precision. As we move towards to electrification, it's crucial to find efficient solutions for simulating multiple voltage converters. Artificial intelligence can help us achieve this by significantly reducing…
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Altair Twin Activate 2025 - 新機能紹介ウェビナー動画・資料
1Dシミュレーションツール Altair Twin Activate 2025では、動的サロゲートモデルromAIの新しいモデルや、新しいコード生成ターゲット、Modelica Standard Libraryのv4.0.0対応など機能が大幅に改善しております。 資料のダウンロードはこちらです。 https://us.v-cdn.net/6038102/uploads/ERSYRM1RYBM7/twin-activate-2025-e6-96-b0-e6-a9-9f-e8-83-bd-e7-b4-b9-e4-bb-8b.pdf 主な新機能 ・機能改善 romAI SINDyモデル追加 romAI Directorでの周波数応答表示…
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romAI - Tips & Tricks for Beginners
Altair romAI uses neural networks and systems theory to create Reduced Order Models (ROMs) from existing simulation data or field tests. Even though it is an easy-to-use tool, when I first started using it, I often found myself unable to train ROMs properly. With some research and a little bit of trial and error, I’ve…
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Altair Community Power Conversion & Motor Drives Chat
Introducing Power Conversion & Motor Drives Chat Series Join us for an exciting technical series where we will showcase the new capabilities of Altair’s power electronics and power conversion design tools. This monthly series is designed to showcase the latest capabilities, applications, and workflows for the design…
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5 Frequently Asked Questions about Altair’s AI-Powered Engineering Solutions
1: Can the AI for engineering applications run on my laptop, or do I need cloud access? AI-powered engineering solutions can run on a laptop, though for intensive tasks such as computational fluid dynamics (CFD), using high-performance computing (HPC) in the cloud is more efficient. But yes, Altair's physicsAI, romAI, the…
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Improving Passenger Thermal Comfort using AI
Introduction In the modern technological landscape, digital twin technology is revolutionizing the way we interact with physical objects and systems. A digital twin is a computerized model of an object or system that covers its entire lifecycle, utilizing real-time data for constant updates. This article demonstrates the…
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Multidisciplinary Optimization: Enhancing Efficiency and Performance with Artificial Intelligence (AI)
Organizations commonly incorporate virtual modeling into product development cycles to reduce costly reliance on physical prototyping and expedite time-to-market. With mainstream accessibility to simulation technology, virtual prototyping has become standard practice along with high-performance computing (HPC). Broad…
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Harnessing Test Data in Model-Based Development through AI: Discovering the Path to Efficiency and Accuracy
In the rapidly evolving landscape of artificial intelligence (AI), companies are witnessing a shift away from costly, time-consuming activities like prototyping and testing. Instead, they are turning to simulation to optimize processes and meet requirements through the adoption of virtual models. The aim is to design and…
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Beyond Simulation: Creating & Deploying Digital Twins Starting From Finite Element Analysis
Traditional simulation plays a pivotal role in the design of products, offering numerous benefits that streamline the design process, reduce costs, and enhance product quality. This technology, encompassing a range of computational tools and methods, allows designers and engineers to model, analyze, and predict the…
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romAI & nFX : ドライブトレインCFDシミュレーションにおけるAIの活用
本記事はSpiros-Foivos Malliosによる投稿 romAI & nFX: Leveraging AI on Drivetrain CFD Simulations を和訳したものです。 概要 この記事では、nanoFluidXRのオイル流動シミュレーションのデータをスマートに利用し、運転中のギアボックスの熱挙動を効率的に予測するために、romAITMがどのように役立つかを説明します。熱問題を解決するために、ギアボックスの回転数とオイルの充填量からギアとオイルの熱伝達率(HTC)を推定する動的非線形低次元化モデル(ROM)を作成します。 序論と問題提起 実運用のシナリオでは、ドライブトレインは次のようなさまざまな条件で動作します：…
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romAI & nFX: Leveraging AI on Drivetrain CFD Simulations
Abstract In this article we discuss how romAITM can help to efficiently predict the thermal behavior of gearboxes during operations smartly reusing data from nanoFluidXR oil flow simulations. To solve the thermal problem, a dynamic non-linear Reduced Order Model (ROM) is generated to estimate the Gear-Oil heat transfer…
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Application Of romAI for Stress and Load Prediction From Strains
Introduction: A digital twin is a computerized model of an object or a system that covers its entire lifecycle. It utilizes real-time data for constant updates, and integrates simulation, machine learning, and reasoning algorithms to support decision-making. Sensors are used on physical objects to gather data on crucial…
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How to speed up truck handling simulation using Artificial Intelligence?
You can relate to the condition below if you work on optimizing something in which each iteration takes some good amount of time to solve. Either you find a nap time in such case or just stare down at the ground thinking of universe and making patterns out of random stuff on the floor. I worked on one such case; optimize…
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romAI: generation of a dynamic Reduced-Order Model (ROM) using AI for linear actuators
Abstract In this article, we describe how romAITM can help to generate an efficient and accurate Reduced-Order Model (ROM) of a linear actuator. For the purpose, we start from few transient electromagnetic simulations performed with Altair® Flux®. In the study we also compare 3 different modeling approaches: Look-up tables…
