Date Approved
7-25-2023
Embargo Period
7-28-2023
Document Type
Thesis
Degree Name
Master of Science in Chemical Engineering
Department
Chemical Engineering
College
Henry M. Rowan College of Engineering
Funder
U.S. Army Research Lab
Advisor
Joseph F. Stanzione III, Ph.D.
Committee Member 1
Emre Kinaci, Ph.D.
Committee Member 2
Giuseppe R. Palmese, Ph.D.
Committee Member 3
Jasmin Z. Vasquez, Ph.D.
Subject(s)
Corrosion and anti-corrosives; Coatings
Disciplines
Chemical Engineering | Engineering
Abstract
Corrosion is a costly phenomenon that is largely responsible for the deterioration of various infrastructures. While there are many corrosion prevention techniques, polymeric coatings are the most cost-effective and frequently used methods for protection of metal surfaces. The most commonly employed polymeric coatings are non-renewable BPA-based epoxide resins. Common curing agents are also the derivatives of hazardous amines such as ethylene di-amine and methylene dianiline. Therefore, there is a growing demand to develop renewable and less-harmful precursors from biomass to replace rapidly depleting petrochemicals. This thesis focuses on the characterization and optimization of anti-corrosive polymeric coating formulations derived from renewable building blocks. Cardanol and vanillyl alcohol were used for epoxy synthesis and furfurylamine as the main precursor for amine synthesis. A polymer blends study was carried out to compare bio-based epoxy-amine systems to petroleum-based systems. Cardanol contains a rigid phenolic ring and a flexible C15 alkyl side chain, giving the material unique properties suitable for flexible polymer synthesis. The highly bio-based epoxy-amine systems exhibited the optimum coatings performance with an improvement in hydrophobicity, flexibility, impact resistance, and adhesion to the substrate, which contributed to an overall improvement in anti-corrosive properties.
Recommended Citation
Salazar, Sarah Anne, "INVESTIGATION OF THE PERFORMANCE OF ANTI-CORROSIVE COATING MATERIALS DERIVED FROM BIO-BASED FEEDSTOCKS" (2023). Theses and Dissertations. 3144.
https://rdw.rowan.edu/etd/3144