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Muhammad Rizal Muhammad Asyraf,Mohamad Ridzwan Ishak,Mohd Nor Faiz Norrrahim,Abdul Latif Amir,Norizan Mohd Nurazzi,Rushdan Ahmad Ilyas,Mochamad Asrofi,Mazlan Rafidah,Muhammad Rizal Razman 한국섬유공학회 2022 Fibers and polymers Vol.23 No.4
Man-made composites are vastly implemented in various engineering applications, particularly in cross-arm component of latticed transmission tower. However, their practice in this sector has increased pollutant emissions and landfill areas. Thus, scientists and engineers have been driven to look for other ‘greener’ alternative materials that have low-cost and renewable sources. Flax fibers and poly(lactic) acid (PLA) biopolymer have been extensively used to develop vast green composite structural products because of their great mechanical behaviours. A comprehensive understanding of properties of composite materials is essential to evaluate their applicability, especially in structural applications. This manuscript discusses the physic-mechanical properties and processing and manufacturability of flax fiber, PLA biopolymer and their composites. This review also comprehensively discovers the potential of fabric flax fiber-reinforced PLA composites for cross-arm application. The chemical composition, extraction, treatment and fabrications of these fiber and biopolymer are elaborated deeply given that these aspects are essential for the development of green composite cross-arm.
Federated Unscented Kalman Filter Design for Multiple Satellites Formation Flying in LEO
Muhammad Ilyas,JunKyu Lim,Jang Gyu Lee,Chan Gook Park 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
The main focus of this paper is to design a more accurate optimal/suboptimal fault tolerant state estimator for relative dynamic model representing formation flying of two satellites in low earth orbit (LEO). First of all a mathematical model describing the relative dynamic motion of two satellites in formation is derived and next state estimation based on Kalman filter is emphasized. The measurement system comprises of a RADAR sensor installed on the leader satellite which measures the relative position, azimuth and elevation angle of the follower satellite with respect to reference satellite and carrier phase differential GPS (CDGPS) sensor measuring relative position directly. We have adopted nonlinear system and measurement models and used more advanced nonlinear filtering method called Unscented Kalman filter (UKF) in this paper in pursue of better state estimator in a nonlinear environment. Also we are using more than one sensor to measure same state hence this becomes a multisensor data fusion problem. We implement a federated UKF and apply fault detection and isolation (FDI) algorithms to get a fault tolerant filter. A comparison of Unscented Kalman filter and extended Kalman filter has been made to show superior performance of UKF.
Muhammad Ilyas,Seung-Ho Baeg,Sangdeok Park 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
Position and attitude estimation of helmet-mounted imaging devices e.g. camera/lidar is difficult in unstructured indoor environment due to lack of conventional localization systems, e.g. RF, Ultrasonic, UWB and Wi-Fi signals, usually available in modern office-like buildings. In this work, we use single MEMS IMU fitted on foot, which when combined with zero-velocity updates (ZUPT) in Extended Kalman filter estimation framework at every foot step, provides very accurate position estimates, regardless of the user and environment. We also present a novel method to reduce the error drift in ZUPT-only position estimates by employing the pitching motion of the foot during the swing phase. Another small IMU is attached on helmet, which can provide attitude information of imaging device at most at its own. However, for proper mapping applications, both position and attitude information of the imaging device is required at high rate, which is difficult to obtain from helmet IMU alone. To get complete pose information of the imaging device, we make use of the so called, ‘Transfer Alignment’ techniques, borrowed from avionics community. Experimental results show that poses of the imaging device is obtained with sufficient accuracy for mapping application without any extra sensors network aiding.
A Clustering Based Study of Classification Algorithms
Muhammad Husnain Zafar,Muhammad Ilyas 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
A grouping of data objects such that the objects within a group are similar (or related) to one another and different from (or unrelated to) the objects in other groups. Many of clustering algorithm is available to analyze data. This paper intends to study and compare different clustering algorithms. These algorithms include K-Means, Farthest First, DBSCAN, CURE, Chameleon algorithm. All these algorithms are compared on the basis of their pros and cons, similarity measure, their working, functionality and time complexity.
Steam generator performance improvements for integral small modular reactors
Muhammad Ilyas,Fatih Aydogan 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.8
Background: Steam generator (SG) is one of the significant components in the nuclear steam supply system. A variety of SGs have been designed and used in nuclear reactor systems. Every SG has advantages and disadvantages. A brief account of some of the existing SG designs is presented in this study. A high surface to volume ratio of a SG is required in small modular reactors to occupy the least space. In this paper, performance improvement for SGs of integral small modular reactor is proposed. Aims/Methods: For this purpose, cross-grooved microfins have been incorporated on the inner surface of the helical tube to enhance heat transfer. The primary objective of this work is to investigate thermal -hydraulic behavior of the proposed improvements through modeling in RELAP5-3D. Results and Conclusions: The results are compared with helical-coiled SGs being used in IRIS (International Reactor Innovative and Secure). The results show that the tube length reduces up to 11.56% keeping thermal and hydraulic conditions fixed. In the case of fixed size, the steam outlet temperature increases from 590.1 K to 597.0 K and the capability of power transfer from primary to secondary also increases. However, these advantages are associated with some extra pressure drop, which has to be compensated.
Muhammad Idrees Afridi,Muhammad Qasim,Ilyas Khan 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.73 No.9
In the present paper, we study the entropy analysis of boundary layer ow over a slender stretching sheet under the action of a non uniform magnetic field that is acting perpendicular to the ow direction. The effects of viscous dissipation and Joule heating are included in the energy equation. Using similarity transformation technique the momentum and thermal boundary layer equations to a system of nonlinear differential equations. Numerical solutions are obtained using the shooting and fourth-order Runge-Kutta method. The expressions for the entropy generation number and Bejan number are also obtained using a suggested similarity transformation. The main objective of this article is to investigate the effects of different governing parameters such as the magnetic parameter (M2), Prandtl number (Pr), Eckert number (Ec), velocity index parameter (m), wall thickness parameter (ff), temperature difference parameter ( ), entropy generation number (Ns) and Bejan number (Be). All these effects are portrayed graphically and discussed in detail. The analysis reveals that entropy generation reduces with decreasing wall thickness parameter and increasing temperature difference between the stretching sheet and the uid outside the boundary layer. The viscous and magnetic irreversibilities are dominant in the vicinity of the stretching surface.
Muhammad Ilyas,한종훈,임영섭 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.9
A pinch-based approach has been used to calculate optimum values of CO2 capture and storage (CCS)retrofit and compensatory renewable power for the Korean electricity sector. Three cases are proposed. In the first case,KEPCO 2020 power generation forecast data were used to calculate CO2 emissions and a 30% emission reduction target applied. For the second case, nuclear-free KEPCO 2020 forecast was used to calculate emissions along with 30%emissions reduction. In the third case, the emissions reduction target increased from 30% to 54.50% for case-2 scenario,in order to achieve 2005 emissions level. Results show that CCS retrofit and compensatory renewable power for case 3 is 2.6 times higher than case 1 and 1.8 times higher than case 2. According to sensitivity analysis results, CCS retrofit and compensatory renewable power for case 3 is more sensitive to CO2 removal ratio and parasitic energy loss ratio,respectively, as compared to case 1 and case 2.