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Foam Density Distribution Analysis in Pre-insulated Pipes Using Non-destructive X-Ray Microscopy

Pakdad Langroudi, Ingo Weidlich*

*Corresponding author for this work

Abstract

Pre-insulated bonded pipes used in district heating systems are engineered for a service life of at least 30 years. The longevity of these systems is primarily influenced by the properties of the polyurethane (PUR) foam insulation. While operational and installation parameters contribute to overall durability, the characterization of the foam layer is critical for service life prediction. According to EN 253, pipe manufacturers are required to maintain a minimum foam density of 55 kg/m3. However, the foaming process leads to a non-uniform density distribution across the pipe cross-section—from the steel carrier pipe to the high-density polyethylene (HDPE) casing. Determining the foam density distribution function enables normalization of measurement data, which is essential for subsequent analysis using spectroscopic techniques such as Laser Induced Breakdown Spectroscopy (LIBS) and Fourier Transform Infrared (FT-IR) Spectroscopy. Traditional methods for density determination, including liquid displacement, and the cut-and-weigh method, are often labor-intensive and prone to inaccuracies. To address these limitations, a methodology has been developed that utilizes nanoscale X-ray microscopy and computer vision techniques to analyze foam density distribution.

Original languageEnglish
Title of host publicationProceedings of the 19th International Symposium on District Heating and Cooling
Subtitle of host publicationThe International Research Conference on Heating and Cooling Networks - Under the Supervision of IEA DHC
EditorsDirk Vanhoudt
Pages163-171
Number of pages9
Volume1700
DOIs
Publication statusPublished - 24 Jan 2026
Event19th International Symposium of District Heating and Cooling, IEA DHC 2025 - Genk, Belgium
Duration: 7 Sept 202510 Sept 2025

Publication series

NameLecture Notes in Networks and Systems
Volume1700
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference19th International Symposium of District Heating and Cooling, IEA DHC 2025
Country/TerritoryBelgium
CityGenk
Period7/09/2510/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 07 - Affordable and Clean Energy
    SDG 07 Affordable and Clean Energy

Keywords

  • Computer vision
  • Data normalization
  • Distribution function
  • Rigid polyurethane foam
  • X-Ray scan

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