Conceptio › Archive › Journal of Thermal Engineering
Journal of Thermal Engineering metadata only

Performance Predictions of Air-Cooled Condensers Having Circular and Elliptic Cross-Sections with Artificial Neural Networks

Fatih Selimefendigil, Hakan Öztop
Journal of Thermal Engineering · Papers
Open Source ↗
artificial-neural-networkcomputational-fluid-dynamics
In this study, mathematical models of air cooled condensers with circular and elliptic cross-sections were developed and performances were evaluated with artificial neural networks. Air velocity, orientation angle and ambient temperature were used as the input to the neural network structure while h
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 932423
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive