Surip, Siti Norasmah
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Investigating Features and Output Correlation Coefficient of Natural Fiber-Reinforced Poly(lactic acid) Biocomposites Federico, Andreas; Surip, Siti Norasmah; Wan Jaafar, Wan Nor Raihan; Fatriansyah, Jaka Fajar; Pradana, Agrin Febrian
Journal of Materials Exploration and Findings Vol. 1, No. 1
Publisher : UI Scholars Hub

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Polylactic acid (PLA) material has the potential to be applied in various industrial fields, but this material has shortcomings in terms of mechanical properties, especially mechanical strength, due to brittleness nature of PLA. The manufacture of PLA composite material with the addition of natural fibers as a reinforcing phase is one of the methods to increase the impact strength and maintain the biodegradable properties of the material. However, in theory, there are many factors that affect the mechanical properties of composite materials, thus making the mechanical properties of composites more complex than monolithic materials. The mechanical properties of these composite materials can be predicted using deep learning by paying attention to the relationship between factors, and between factors and their mechanical properties. This relationship has an important role in creating a predictive model with good accuracy. Therefore, correlation analysis is an important thing to do. Correlation analysis was applied using Python programming language to determine the relationship between the impact strength of natural fiber-reinforced PLA biocomposites with its feature information: chemical composition, density, dimensions, surface chemical treatment of natural fibers, matrix-reinforcement volume fraction, and the type of processing used to manufacture the material.
The Effect of Heat Treatment and Chemical Treatment on Natural Fibre to The Durability of Wood Plastic Composites – A Review Nasharudin, Nuratiqah Asyiqin Mohd; Sulaiman, Nur Fatihah; Mohammad, Nurul Aziemah; WAN JAAFAR, WAN NOR RAIHAN; Abu, Falah, Dr.; Surip, Siti Norasmah
Journal of Materials Exploration and Findings Vol. 2, No. 2
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The application of WPC is not only limited to indoor applications but has been extended to exterior applications where properties of WPC could compromise during service life. WPC was derived from wood fiber of various sizes to reinforce polymers. Wood fiber has the advantage of a cheaper price, being abundantly available, and ease of processing, however, the critical factor is its hydrophilic nature, where moisture absorption is likely to occur. Thus, treatments for reducing the hydrophilicity of wood fibers are applied. By treatment of wood fiber, the surface impurities were removed, leaving the roughened surface of fibers, thus providing a good surface for fiber-matrix interaction. The purpose of this study is to systematically review the effect of heat treatment and chemical treatment on wood fiber on the durability of WPC. The literature cited was searched in Scopus with related keywords – leading to 4292 articles. Article search was then limited from 2012 to 2021 and led to 443 articles to identify and analyze focusing on the durability of WPC. After fine-tuning, only 30 articles were considered to answer the research question in this study. The finding reveals that the treatment of wood fiber has a significant effect on the durability of WPC. Heat and chemical treatment were observed to improve the interfacial adhesion and resistance to fungal attack and the mechanical and physical properties of WPCs.
Integration of the Ashby Technique and Pahl-Beitz Quantitative Ranking for Railway Axle Material Selection Nafisah, Helya Chafshoh; Fatriansyah, Jaka Fajar; Surip, Siti Norasmah
Journal of Materials Exploration and Findings Vol. 3, No. 1
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Railway axle serves as a vital connection between the train's wheels and its body. However, cyclic loading and high speed can induce fatigue in railway axle, which potentially leads to damage human safety. Therefore, it is important to find materials that have good mechanical properties with the lowest weight and cost. In this paper, a comprehensive method using Ashby chart has been performed to select candidate materials of railway axle. The methods begin with analyzing function by determining the problem, objective function, and constraints. After that, the results obtained are ranked using Pahl and Beitz quantitative weighting method. The results showed that the best five candidate materials for railways axle are Ti-6Al-4V, AISI 4130, EA16 carbon steel, bismaleimide matrix CFRP, and 7000 Al, respectively.