Iron nanoparticles decorated on graphitic carbon nitride/ZlF-67 support: An electro catalyst for the oxidation of methanol in fuel cell

Hussein Ali Obaid, R. Ojani
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Abstract

Iron nanoparticles (FeNPs) are the tiniest particle of iron metal with a large surface area and high reactivity. They are non-toxic. FeNPs have excellent dimensional stability and also possess high thermal and electrical conductivity, high surface area, and are highly magnetic. FeNPs can oxidize immediately when exposed to water or air and produces free Fe ions. There are numerous applications of FeNPs but the most promising one includes their role in drug delivery. Considerable attention is being paid to the utilization of computer-based and modeling optimization in fuel cell systems design. One advantage of this method is the positive effect on high cost and design cycle time savings, as well as its improved operation and design. The performance of optimum development depends primarily on the method by which the prototype is developed. It is crucial to identify the important factors and those that can be compromised without having an adverse effect on the design. Modeling is carried out to capture the designer’s interest aspects of the fuel cell system. A mathematical model that represents particular fuel cell system aspects and estimates its characteristics can be in a form of algebraic equations, differential equations, or a process or subroutine based on a computer. The model can involve various alternatives to the design that can be achieved by changing parameters, variables, constraints or conditions. The principle explained in the preceding step contributes to the basis for comparing the various alternatives to design.
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氮化石墨碳/ZlF-67载体上修饰的铁纳米颗粒:燃料电池中甲醇氧化的电催化剂
铁纳米颗粒是金属铁中最小的颗粒,具有较大的表面积和较高的反应活性。它们是无毒的。FeNPs具有优异的尺寸稳定性,还具有高导热性和导电性,高表面积和高磁性。当暴露于水或空气中时,FeNPs会立即氧化并产生游离铁离子。FeNPs有许多应用,但最有前途的应用包括它们在药物传递中的作用。在燃料电池系统设计中,基于计算机和建模的优化技术的应用受到了广泛的关注。该方法的一个优点是对高成本和节省设计周期时间的积极影响,以及改进的操作和设计。最佳开发的性能主要取决于原型开发的方法。确定重要的因素和那些可以妥协而不会对设计产生不利影响的因素是至关重要的。建模是为了捕捉设计者对燃料电池系统感兴趣的方面。表示燃料电池系统的特定方面并估计其特性的数学模型可以是代数方程、微分方程或基于计算机的过程或子程序的形式。该模型可以包含设计的各种替代方案,这些方案可以通过改变参数、变量、约束或条件来实现。在前一步中解释的原则有助于比较设计的各种替代方案的基础。
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