relation: https://khub.utp.edu.my/scholars/20174/
title: Study on Adhesive and Microstructure Properties of Rice Husk Ash-Based Geopolymer Hybrid Alkyd Coating
creator: Abdullah, M.N.
creator: Mustapha, F.
creator: Mustapha, M.
creator: Khan, T.
creator: Sebaey, T.A.
description: Ensuring strong adhesion, especially under varying environmental conditions, is a significant challenge in the field of coating technology. This research aims to enhance alkyd paint adhesive strength by incorporating rice husk ash-based geopolymer (GP-RHA) as a filler. Response Surface Methodology (RSM) technique was employed to systematically study the impact of GP-RHA levels on the adhesive strength of alkyd coatings under dry and wet conditions. The morphology of the coatings was analyzed using SEM-EDX. In dry pull-off test, the incorporation of GP-RHA in alkyd coatings led to an improvement in adhesive strength with the highest recorded adhesive strength of 3.9 MPa at a ratio of 41.67 wt. GP-RHA and 58.33 wt. alkyd paint. However, this higher proportion of GP-RHA resulted in the formation of a larger pore sizes hybrid coating, further causing water infiltration into the coating�s pore structure in wet pull-off test. Outcomes of this research showed the promising potential of GP-RHA filler in alkyd paint formulations to enhance adhesion. These findings offer valuable insights into the development of coatings utilizing agro-waste as a filler to improve its adhesive properties. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.
date: 2024
type: Article
type: PeerReviewed
identifier:   Abdullah, M.N. and Mustapha, F. and Mustapha, M. and Khan, T. and Sebaey, T.A.  (2024) Study on Adhesive and Microstructure Properties of Rice Husk Ash-Based Geopolymer Hybrid Alkyd Coating.  Journal of Natural Fibers, 21 (1).       
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185404965&doi=10.1080%2f15440478.2024.2317427&partnerID=40&md5=898205f248e38176b71f5bb18d49f5b1
relation: 10.1080/15440478.2024.2317427
identifier: 10.1080/15440478.2024.2317427