Article, 2024

Pyrolysis behaviour of ultrafiltration polymer composite membranes (PSF/ PET): Kinetic, thermodynamic, prediction modelling using artificial neural network and volatile product analysis

FUEL, ISSN 0016-2361, Volume 369, 10.1016/j.fuel.2024.131779

Contributors

Yousef, Samy 0000-0001-8680-3899 (Corresponding author) [1] Eimontas, Justas 0000-0003-2655-0054 [2] Striugas, Nerijus 0000-0002-3594-0903 [2] Mohamed, Alaa [3] Abdelnaby, Mohammed Ali [4] [5]

Affiliations

  1. [1] Kaunas Univ Technol, Fac Mech Engn & Design, Dept Prod Engn, LT-51424 Kaunas, Lithuania
    2. [NORA names: Lithuania; Europe, EU; OECD];
  2. [2] Lithuanian Energy Inst, Lab Combust Proc, Breslaujos 3, LT-44403 Kaunas, Lithuania
    3. [NORA names: Lithuania; Europe, EU; OECD];
  3. [3] Aalborg Univ, Dept Chem & Biosci, Sect Chem Sci & Engn, Niels Bohrs Vej 8, DK-6700 Esbjerg, Denmark
    4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  4. [4] October Univ Modern Sci & Arts MSA, Mechatron Syst Engn Dept, Giza, Egypt
    5. [NORA names: Egypt; Africa];
  5. [5] October Univ Modern Sci & Arts MSA, Mechatron Syst Engn Dept, Giza, Egypt
    6. [NORA names: Egypt; Africa]

Abstract

Abstract not displayed. As this article is not marked as Open Access, it is unclear if we are allowed to show the abstract. Please use the link in the sidebar to view the data provider version of the article including abstract.

Keywords

Artificial neural network, PSF/PET membranes, Pyrolysis, Pyrolysis kinetic behaviour, Ultrafiltration polymer composite memberes

Data Provider: Clarivate

LINKS
-

Matching Records in NORA

SUBJECTS
+

METRICS
+