AI & Machine Learning

How I Built a Production-Grade Fluid-Thermal Simulation Platform Using Claude Code

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The article "How I Built a Production-Grade Fluid-Thermal Simulation Platform Using Claude Code" details an engineer's journey in developing a sophisticated fluid-thermal simulation platform using Claude, an advanced language model. The author, who specializes in digital manufacturing at Eaton Research Labs, outlines the process of building this complex tool across five programming languages: Python, JavaScript, GLSL (for WebGL), WGSL (WebGPU shader language), and C++/CUDA for GPU computations.

Key aspects covered in the article include:

System Architecture: The platform is designed as a cloud-native web application that leverages GPU compute resources, making it accessible without local hardware requirements.
SDF CAD Engine: A node-graph based SDF (Signed Distance Function) CAD system was implemented to allow real-time geometry creation and manipulation directly within the app.
Visualization Tools: The platform includes advanced visualization features such as volumetric thermal fields, animated streamlines, and an interactive face picker for assigning boundary conditions in real time using WebGL and WebGPU technologies.
CUDA Porting: A significant part of the development involved porting a complex thermal solver to CUDA, requiring careful management of data contracts across multiple languages.
**Claude

Read the full article at Towards AI - Medium

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How I Built a Production-Grade Fluid-Thermal Simulation Platform Using Claude Code

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