E
Elango Natarajan
Researcher at University of Kuala Lumpur
Publications - 74
Citations - 707
Elango Natarajan is an academic researcher from University of Kuala Lumpur. The author has contributed to research in topics: Computer science & Composite number. The author has an hindex of 10, co-authored 54 publications receiving 357 citations. Previous affiliations of Elango Natarajan include Cairo University & Universiti Teknologi Malaysia.
Papers
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Journal ArticleDOI
Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
TL;DR: The proposed NSMTLBO is reported to outperform other six peer algorithms due to its excellent capability in generating the Pareto-fronts which are more uniformly distributed and resulted higher percentage of non-dominated solutions.
Journal ArticleDOI
Enhanced Multi-Objective Teaching-Learning-Based Optimization for Machining of Delrin
TL;DR: An enhanced multi-objective teaching–learning-based optimization (EMOTLBO) is proposed to solve the multi- objective machining problem, aiming to minimize the SR and maximize the MRR of Delrin simultaneously.
Journal ArticleDOI
Implications on the influence of mica on the mechanical properties of cast hybrid (Al+10%B4C+Mica) metal matrix composite
TL;DR: In this article, the synthesis of Al6061/B4C/Mica hybrid metal matrix composite using stir casting method by mica particles as 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 25, 26, 28, 30, 31, 34, 35, 36
Proceedings ArticleDOI
3-D finite-element analysis of fiber-reinforced soft bending actuator for finger flexion
Ili Najaa Aimi Mohd Nordin,Muhammad Rusydi Muhammad Razif,Ahmad Athif Mohd Faudzil,Elango Natarajan,Kazuhiro Iwata,Koichi Suzumori +5 more
TL;DR: The study is to determine the optimum fiber-reinforced elastic soft actuator model to be employed in an exoskeleton for finger rehabilitation, and the proposed model shows a good presentation of bending motion at applied pressure of 150 kPa.
Journal ArticleDOI
Prediction of surface quality and optimization of process parameters in drilling of Delrin using neural network
TL;DR: The high-temperature polymers like Acetal homopolymer (Delrin) currently have a wide variety of use and are quite often utilized in traditional components to reduce weight, cost or meet a specification as discussed by the authors.