Studies on the effects of kaolin filler concentrations on the thermal and mechanical performance of furan–lignin foam formulations
Keywords:
Kaolin, Furan–lignin foam, Bio-based foam, Thermal stability, Compressive strengthAbstract
Plant-based furan--lignin foams (FLFs) offer several advantages over petroleum-based foams, including abundant and affordable feedstocks, fire resistance, thermal performance, environmental compatibility, and renewable origin. In this work, rigid plant-derived furan--lignin foams were synthesized by incorporating kaolin filler into the formulation. The effects of kaolin concentration (0, 0.5, 1.0, 1.5, 2.0, and 2.5 g, corresponding to foams KF1--KF6) on the thermal and mechanical properties of the foams were evaluated. Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), density measurement, compressive strength testing, thermogravimetric analysis (TGA), and derivative thermogravimetry (DTG) were used to characterize the kaolin-reinforced furan--lignin bio-based foams. The foams were high-density materials, and KF4, containing 1.5 g of kaolin, showed the best overall performance, with a density of 0.256 gcm3 and a compressive stress of 26.63 MPa. KF4 also exhibited promising thermal stability up to about 588.39 oC and a residue content of 19.48% at 863 oC. SEM analysis showed both open- and closed-cell morphologies, with cell sizes ranging from 40 to 250 \mu\m. The results indicate that optimum kaolin loading can enhance the mechanical efficiency and thermal stability of rigid bio-based foams.
Published
How to Cite
Issue
Section
Copyright (c) 2026 Alaba Joseph Adebayo, Ilemobayo Ifedayo Oguntimehin (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Peter Urane Achimugwu, Mathew Ngugi Kinyanjui, David Mumo Malonza, Analysis of a fractional order climate model due to excessive emission and accumulation of carbon dioxide in the atmosphere , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 4, November 2023
- Richard O. Akinola, Ezekiel O. Omole, Joshua Sunday, Stephen Y. Kutchin, A ninth-order first derivative method for numerical integration , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- R. Latha, K. Lakshminarayanachari, C. Bhaskar, An analytical model for point source pollutants in an urban area with mesoscale wind and wet deposition , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- K. O. Eberendu , J. I. Iheanyichukwu, O. M. Mac-kalunta, C. I. Nwankwo, I. E. Otuokere, J. C. Nnaji, Zn(II) and Fe(II) complexes of 2,4-dinitro-N-[(Z)-[(E)-3-(2-nitrophenyl)prop-2-enylidene] amino] aniline: synthesis, characterization and In Silico SARS-CoV-2 inhibition studies , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Arshad Hameed Hasan, Evaluating feature selection methods in a hybrid Weibull Freund-Cox proportional hazards model for renal cell carcinoma , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 3, August 2025
- El Mehdi Chouit, Mohamed RACHDI, Mostafa BELLAFKIH, Brahim RAOUYANE, Forecasting of the epidemiological situation: Case of COVID-19 in Morocco , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 4, November 2022
- Helen Olaronke Edogbanya, Emmanuel Sabastine, Rosalio G. Artes Jr., Regimar A. Rasid, Dynamical and optimal control analysis of lymphatic filariasis and buruli ulcer co-infection , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- Gabriel James, Anietie Ekong, Etimbuk Abraham, Enobong Oduobuk, Peace Okafor, Analysis of support vector machine and random forest models for predicting the scalability of a broadband network , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- Philemon Uten Emmoh, Christopher Ifeanyi Eke, Timothy Moses, A feature selection and scoring scheme for dimensionality reduction in a machine learning task , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- A. Abdulrahim, M. D Shehu, E Yisa, Z. A. Ishaq, Mathematical Models and Comparative Analysis for Rice and Soya Bean Irrigation Crop Water Needs: A Case Study of Bida Basin Niger State, Nigeria , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
You may also start an advanced similarity search for this article.

