The objective of this paper was to fabricate advanced geopolymeric coating materials having advanced hybrid inorganic-organic characters (using novel solid state geopolymerization processes), which can effectively protect mild steel substrates from the damaging effects of corrosion. To achieve this objective, different geopolymeric mix designs were formulated using fly ash as an amorphous silicoaluminous source and rice husk as a source of organic components and other raw materials. The developed materials were coated on the substrate via a paint brush technique. In order to understand and correlate coating performance, fabricated hybrid geopolymeric coatings were first tested for adhesive strength and then for water resistance and corrosion resistance properties. A geopolymer-epoxy composite was also prepared using epoxy resin as yet another hybrid organic additive and results indicated the superiority of this composite in terms of adhesion and other studied properties. The microstructures, thickness and elemental composition of different geopolymeric coating compositions were studied using FESEM and EDX spectral analysis. Results revealed that rice husk addition to geopolymeric matrix not only enhanced gelation but also contributed to good adhesion and excellent corrosion protection for the underlying substrate. A geopolymer-epoxy composite on other hand, owing to its high crosslinking structure, performed extremely well for all parameters. Fabricated hybrid geopolymeric coating material find its application as corrosion protective coating for different industries to ensure metal durability and reduction in unwanted maintenance cost.

本文的目的是制造具有先进混合无机-有机特性的先进地质聚合物涂层材料（使用新型固态地质聚合工艺），可以有效地保护低碳钢基材免受腐蚀的破坏作用。为了实现这一目标，使用粉煤灰作为无定形硅铝源和稻壳作为有机成分和其他原材料的来源，配制了不同的地质聚合物混合设计。开发的材料通过油漆刷技术涂覆在基材上。为了了解和关联涂层性能，首先测试制备的混合地质聚合物涂层的粘合强度，然后测试防水和耐腐蚀性能。还使用环氧树脂作为另一种混合有机添加剂制备了地质聚合物-环氧树脂复合材料，结果表明该复合材料在粘附性和其他研究性能方面具有优越性。使用FESEM和EDX光谱分析研究了不同地质聚合物涂层组合物的微观结构、厚度和元素组成。结果表明，将稻壳添加到地质聚合物基质中不仅增强了凝胶化，而且还有助于对底层基材进行良好的粘附和出色的腐蚀保护。另一方面，地质聚合物-环氧树脂复合材料由于其高交联结构，在所有参数下都表现得非常好。