<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multidisciplinary Design Optimization | IDEAS Lab at University of Michigan</title><link>https://www.gokcincinar.com/tag/multidisciplinary-design-optimization/</link><atom:link href="https://www.gokcincinar.com/tag/multidisciplinary-design-optimization/index.xml" rel="self" type="application/rss+xml"/><description>Multidisciplinary Design Optimization</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 31 Jul 2025 00:00:00 +0000</lastBuildDate><image><url>https://www.gokcincinar.com/media/logo.svg</url><title>Multidisciplinary Design Optimization</title><link>https://www.gokcincinar.com/tag/multidisciplinary-design-optimization/</link></image><item><title>OpenAeroStruct LLM Agent</title><link>https://www.gokcincinar.com/software/openaerostruct/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://www.gokcincinar.com/software/openaerostruct/</guid><description>&lt;p>&lt;strong>Overview&lt;/strong>&lt;/p>
&lt;p>OpenAeroStruct LLM Agent is a tool that leverages Large Language Models (LLMs) to automate aircraft wing design and analysis using the OpenAeroStruct framework. It allows users to input design specifications in natural language, and the system automatically handles meshing, analysis, optimization, visualization, and reporting. It currently supports main aerodynamic objectives of lift and drag, and geometric design variables of taper, sweep, dihedral, chord, and twist.&lt;/p>
&lt;p>&lt;strong>Key Features:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>Natural language processing for wing design specifications&lt;/li>
&lt;li>Automated mesh generation and refinement&lt;/li>
&lt;li>Wing optimization based on specified objectives (drag, lift, etc.)&lt;/li>
&lt;li>Automated visualization of results&lt;/li>
&lt;li>Detailed report output&lt;/li>
&lt;/ul></description></item><item><title>Aerodynamic Design and Optimization via a Specialized Agentic Generative AI Framework</title><link>https://www.gokcincinar.com/publication/pp-2025-agenticframework/</link><pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate><guid>https://www.gokcincinar.com/publication/pp-2025-agenticframework/</guid><description/></item></channel></rss>