Approach towards Pulsating Heat Pipe Performance Prediction using Gradient Boosting and Experimental Iteration

Franke, Friedrich and Illbruck, Marvin and Kober, Markus and Enghardt, Lars and Kazula, Stefan (2026) Approach towards Pulsating Heat Pipe Performance Prediction using Gradient Boosting and Experimental Iteration. GAMM, 2026-03-26, Stuttgart.

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Item URL in elib:

https://elib.dlr.de/223935/

Document Type:

Conference or Workshop Item (Speech)

Title:

Approach towards Pulsating Heat Pipe Performance Prediction using Gradient Boosting and Experimental Iteration

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Franke, Friedrich	friedrich.franke (at) dlr.de	https://orcid.org/0009-0002-8367-1194	UNSPECIFIED
Illbruck, Marvin	marvin.illbruck (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Kober, Markus	Markus.kober (at) dlr.de	https://orcid.org/0000-0003-2297-5936	UNSPECIFIED
Enghardt, Lars	Lars.Enghardt (at) dlr.de	UNSPECIFIED	UNSPECIFIED
Kazula, Stefan	stefan.kazula (at) dlr.de	https://orcid.org/0000-0002-9050-1292	UNSPECIFIED

Date:

26 March 2026

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Accepted

Keywords:

Pulsating Heat Pipe, Bubble Column, Machine Learning, Gradient Boosting

Event Title:

GAMM

Event Location:

Stuttgart

Event Type:

national Conference

Event Date:

26 March 2026

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Aeronautics

HGF - Program Themes:

Clean Propulsion

DLR - Research area:

Aeronautics

DLR - Program:

L CP - Clean Propulsion

DLR - Research theme (Project):

L - Components and Emissions

Location:

Cottbus

Institutes and Institutions:

Institute of Electrified Aero Engines > Component Technologies

Deposited By:

Ragotzky, Sabine

Deposited On:

27 Apr 2026 07:27

Last Modified:

27 Apr 2026 07:27

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