<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Heat Flux Partitioning | Omid Bidar</title><link>https://omid-bidar.github.io/tags/heat-flux-partitioning/</link><atom:link href="https://omid-bidar.github.io/tags/heat-flux-partitioning/index.xml" rel="self" type="application/rss+xml"/><description>Heat Flux Partitioning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 02 Aug 2026 00:00:00 +0000</lastBuildDate><image><url>https://omid-bidar.github.io/media/icon_hu18016986673377086699.png</url><title>Heat Flux Partitioning</title><link>https://omid-bidar.github.io/tags/heat-flux-partitioning/</link></image><item><title>Towards data-driven boiling models using a mixture-of-experts approach</title><link>https://omid-bidar.github.io/publication/conference-papers/ihtc-18-moe/</link><pubDate>Sun, 02 Aug 2026 00:00:00 +0000</pubDate><guid>https://omid-bidar.github.io/publication/conference-papers/ihtc-18-moe/</guid><description>&lt;p>Paper ID: IHTC18-1050.&lt;/p>
&lt;p>Presented at the 18th International Heat Transfer Conference, 2-7 August 2026, Rio de Janeiro, Brazil.&lt;/p></description></item><item><title>Evaluations of boiling heat flux partitioning and bubble parameter models using a 0-D framework</title><link>https://omid-bidar.github.io/publication/journal-papers/ijhmt-xboil/</link><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><guid>https://omid-bidar.github.io/publication/journal-papers/ijhmt-xboil/</guid><description/></item><item><title>XBOIL</title><link>https://omid-bidar.github.io/code/xboil/</link><pubDate>Wed, 10 Jun 2026 00:00:00 +0000</pubDate><guid>https://omid-bidar.github.io/code/xboil/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>XBOIL is an open-source MATLAB framework for rapidly and systematically evaluating heat flux partitioning formulations and bubble-dynamics sub-models. Its zero-dimensional, point-averaged formulation isolates boiling-model behaviour from turbulence, interfacial transport, mesh and numerical uncertainties associated with full computational fluid dynamics simulations.&lt;/p>
&lt;h2 id="capabilities">Capabilities&lt;/h2>
&lt;ul>
&lt;li>Independently select heat flux partitioning formulations and bubble-parameter sub-models.&lt;/li>
&lt;li>Exhaustively evaluate thousands of model combinations in milliseconds per configuration.&lt;/li>
&lt;li>Compare predictions against pool- and flow-boiling experimental databases.&lt;/li>
&lt;li>Investigate model compatibility, sensitivity and generalisability across operating conditions.&lt;/li>
&lt;li>Extend the modular framework with new closures from the literature.&lt;/li>
&lt;/ul>
&lt;h2 id="related-research">Related research&lt;/h2>
&lt;p>XBOIL was developed for the study &lt;em>Evaluations of boiling heat flux partitioning and bubble parameter models using a 0-D framework&lt;/em>, published in the &lt;em>International Journal of Heat and Mass Transfer&lt;/em>.&lt;/p>
&lt;p>&lt;a href="https://github.com/omid-bidar/XBOIL" target="_blank" rel="noopener">View XBOIL on GitHub&lt;/a>&lt;/p></description></item><item><title>Assessment of Heat Flux Partitioning Approaches for the Prediction of Subcooled Flow Boiling</title><link>https://omid-bidar.github.io/publication/conference-papers/nureth-21/</link><pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate><guid>https://omid-bidar.github.io/publication/conference-papers/nureth-21/</guid><description/></item><item><title>2025 Annual Technical Meeting of CCP-NTH</title><link>https://omid-bidar.github.io/talks/ccp-nth/</link><pubDate>Thu, 19 Jun 2025 00:00:00 +0000</pubDate><guid>https://omid-bidar.github.io/talks/ccp-nth/</guid><description/></item></channel></rss>