In the current competitive Product Development landscape, AI and Machine Learning are revolutionizing engineering workflows by delivering unmatched efficiency, precision, and automation. These technologies allow engineering teams to virtually validate design performance before physical prototypes are built—speeding up the process while improving accuracy.

Xitadel, based in Bangalore, India, is at the forefront of this digital transformation, enhancing design exploration with generative AI and accelerating CAE simulation through its cutting-edge platform Xipa®. Powered by machine learning, Xipa streamlines the CAE model-building process with unprecedented speed and reliability.

How Xipa Accelerates CAE Model Building

Xipa is a proprietary Machine Learning system that combines image recognition, object detection, and classification to interpret CAD data and turbocharge finite element (FE) model creation. Here’s how it transforms the workflow:

1. ML-driven Intelligent Feature Recognition
   Applying convolutional neural networks (CNNs), Xipa automatically detects low-level geometric entities essential for connectivity and fastening in CAD models. It leverages a geometric feature library developed through over 20 man-years of training—especially tailored for plastic components.
2. Classification into Feature Families
   Detected features are grouped into families, enabling tailored meshing and processing logic.
3. Automated Mesh Generation
   For each feature family, Xipa applies customized meshing algorithms to rapidly generate high-quality FE meshes—optimized for plastics and sheet metal. These align with both generic industry specifications and client-specific guidelines.
4. Automatic Connection Assembly
   Connections are created automatically, ensuring seamless integration during model building.

Multi-Attribute Mesh Outputs
Xipa generates multiple meshes in parallel—such as Crash, NVH (Noise, Vibration, Harshness), and Durability meshes—tailored to different simulation attributes.

Key Benefits of Xipa

1. Dramatically Reduced Model-Build Times
   Xipa delivers up to ~50% time savings over traditional methods, with customized ML models offering reductions exceeding 80%.
2. Consistency with Modeling Guidelines
   Outputs adhere to user-defined criteria and best practices, ensuring quality and conformity.
3. Capture and Reuse of Organizational Best Practices
   Through ML training, Xipa embeds institutional knowledge and ongoing experience for consistent modeling across teams.
4. “Push‑Button” Automation
   A simple GUI enables near-batch-speed meshing and assembly of complex subsystems—making virtual product development highly accessible and efficient.
5. End-to-End CAE Workflow Support
   Beyond pre-processing, Xipa enhances the full simulation lifecycle—from load case setup and automated deck preparation to AI-driven post-processing and even predictive analytics and Gen AI-based assistance.

Summarily, Xipa significantly accelerates the time traditionally taken for Meshing and Model-Build. Xipa therefore is an enabling technology that is on the critical path for the Digital Transformation of the Model-Build phase of Product Development process.

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