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Investigating the effect of hot air polishing parameters on surface roughness of fused deposition modeling PLA products: ANOVA and regression analysis

Research Abstract

Fused deposition modeling (FDM) is one of the most additive manufacturing techniques that adopted to produce prototypes and/or final parts, particularly under geometrical complexity restrictions. One of the most challenging aspects of FDM technology is the attainable roughness. In this paper, a hot-air jet was applied simultaneously during the printing process of FDM products to investigate the effect of its factors on surface roughness. Experimentally, a test rig was utilized to evaluate the effect of these factors on surface roughness. Two main factors were addressed: air jet temperature; and nozzle translational velocity over the part surface and investigated their effect on the roughness. Statistically, ANOVA and regression analysis were conducted to study the contribution of the individual factors to the process response and to introduce regression model to predict the resulting surface roughness in terms of different …

Research Authors
M Heshmat, M Adel
Research Date
Research Journal
Progress in Additive Manufacturing
Research Year
2021

Low-Computational-Cost Technique for Modeling Macro Fiber Composite Piezoelectric Actuators Using Finite Element Method

Research Abstract

The large number of interdigitated electrodes (IDEs) in a macro fiber composite (MFC) piezoelectric actuator dictates using a very fine finite element (FE) mesh that requires extremely large computational costs, especially with a large number of actuators. The situation becomes infeasible if repeated finite element simulations are required, as in control tasks. In this paper, an efficient technique is proposed for modeling MFC using a finite element method. The proposed technique replaces the MFC actuator with an equivalent simple monolithic piezoceramic actuator using two electrodes only, which dramatically reduces the computational costs. The proposed technique was proven theoretically since it generates the same electric field, strain, and displacement as the physical MFC. Then, it was validated with the detailed FE model using the actual number of IDEs, as well as with experimental tests using triaxial rosette strain gauges. The computational costs for the simplified model compared with the detailed model were dramatically reduced by about 74% for memory usage, 99% for result file size, and 98.6% for computational time. Furthermore, the experimental results successfully verified the proposed technique with good consistency. To show the effectiveness of the proposed technique, it was used to simulate a morphing wing covered almost entirely by MFCs with low computational cost

Research Authors
Diaa Emad, Mohamed A Fanni, Abdelfatah M Mohamed, Shigeo Yoshida
Research Date
Research Department
Research Journal
Materials
Research Member
Research Pages
4316
Research Publisher
Multidisciplinary Digital Publishing Institute
Research Vol
14
Research Website
https://www.mdpi.com/1996-1944/14/15/4316
Research Year
2021

Enhanced quadratic V/f-based induction motor control of solar water pumping system

Research Abstract

In rural and remote areas, solar photovoltaic energy (PV) water pumping systems (SPWPSs) are being favored over diesel-powered water pumping due to environmental and economic considerations. PV is a clean source of electric energy offering low operational and maintenance cost. However, the direct-coupled SPWPS requires inventive solutions to improve the system’s efficiency under solar power variations while producing the required amount of pumped water concurrently. This paper introduces a new quadratic V/f (Q V/f) control method to drive an induction motor powered directly from a solar PV source using a two-stage power converter without storage batteries. Conventional controllers usually employ linear V/f control, where the reference motor speed is derived from the PV input power and the dc-link voltage error using a simple proportional–integral (PI) controller. The proposed Q V/f-based system is compared with the conventional linear V/f control using a simulation case study under different operating conditions. The proposed controller expectedly enhances the system output power and efficiency, particularly under low levels of solar irradiance. Some alternative controllers rather than the simple PI controller are also investigated in an attempt to improve the system dynamics as well as the water flow output. An experimental prototype system is used to validate the proposed Q V/f under diverse operating conditions.

Research Authors
Neama Yussif, Omar H Sabry, Ayman S Abdel-Khalik, Shehab Ahmed, Abdelfatah M Mohamed
Research Department
Research Journal
Energies
Research Member
Research Pages
104
Research Publisher
Multidisciplinary Digital Publishing Institute
Research Vol
vol. 14 No. 1
Research Year
2020

Improving surface roughness of polylactic acid (PLA) products manufactured by 3D printing using a novel slurry impact technique

Research Abstract

Purpose

Fused deposition modeling (FDM) is one of the most adopted additive manufacturing techniques to produce prototypes and/or final parts regardless of geometrical complexity restrictions. One of the most challenging aspects of this technology is the attainable roughness. The purpose of this study is to evaluate the capability of the slurry impacts to improve the surface roughness of parts fabricated using FDM. Moreover, a regression model for predicting the values of surface roughness was developed.

Design/methodology/approach

The developed technique imposes a silica–water mixture which softens the staircase on the surface and leaves it smoother. The process introduces three main factors: building orientation; layer thickness; and impact angle of the slurry particles. Experimentally, a test rig was used to evaluate the effect of these factors on surface roughness. Statistically, Analysis of variance (ANOVA) and regression analysis were conducted to study the contribution of the individual factors on the roughness.

Findings

The results reveal that the effect of slurry impacts has a good impact on surface roughness, and the three factors have significant effect on surface roughness.

Originality/value

This paper contributes to new knowledge by providing a new technique for enhancing the surface roughness of FDMed products. ANOVA and regression analysis is a useful tool to parametrically study the surface roughness in terms of building and testing factors.

Research Authors
Mahmoud Heshmat, Yasser Abdelrhman
Research Date
Research Journal
Rapid Prototyping Journal
Research Pages
1355-2546
Research Publisher
Emerald Publishing Limited
Research Rank
1
Research Year
2021

Effect of particle size on thermophysical and heat transfer properties of Ag nanofluid in a radiator – an experimental investigation

Research Abstract

In this experimental and statistical investigation, Silver (Ag) nanoparticles with varying particle sizes of 20 nm with the base fluid of EG and DI water are tested to improve the heat transfer properties of the car radiator. The thermophysical properties are tested at temperatures varying from 35 to 75 C. Results showed that small nanoparticles had higher thermophysical properties than large nanoparticles. The heat transfer properties along with friction factor characteristics are measured. A total of 20 nm of Ag has higher thermal transfer properties than other nanofluids; it can be concluded that smaller nanoparticles can improve thermal properties and minimize the radiator size compared to traditional coolants. A systematic optimized RSM-based architecture has been developed to define the quantitative estimate of the specific design parameters influencing nanofluid heat transfer properties and friction factor characteristics. Finally, correlations are developed for experimental Nusselt number and friction factor values by regression analysis.

Research Authors
Ratchagaraja Dhairiyasamy, Bahaa Saleh, Mohan Govindasamy, Ayman A. Aly, Asif Afzal, Yasser Abdelrhman
Research Date
Research Journal
Inorganic and Nano-Metal Chemistry
Research Pages
1-15
Research Publisher
Taylor & Francis Group, LLC
Research Rank
1
Research Year
2021

Design framework for inverter cascode transimpedance amplifier using Gm/ID based PSO applying design equations

Research Authors
Motaz M Elbadry, Mostafa Y Makkey, Mohamed Atef
Research Date
Research Department
Research Journal
AEU-International Journal of Electronics and Communications
Research Year
2021

A Study on Transmission Overhead of Post Quantum Cryptography Algorithms in Internet of Things Networks

Research Abstract

Post-quantum cryptography is an emerging solution to the expected security breach, introduced by quantum computers, to the currently used public key cryptosystems. This paper presents an experimental study on the effect of the overhead associated with the wireless transmission of some of the newly developed post quantum cryptography algorithms through the Internet of Things networks. Experimental results of this work include the energy and time measurements for wireless transmission of chosen sample messages of these new cryptographic algorithms. In addition, recommendations are given for appropriate modules configurations and choice of suitable security algorithm for the Internet of Things networks.

Research Authors
M AbdelHafeez, M Taha, EEM Khaled, M AbdelRaheem
Research Department
Research Journal
2019 31st International Conference on Microelectronics (ICM)
Research Pages
113-117
Research Publisher
IEEE
Research Website
https://ieeexplore.ieee.org/abstract/document/9021842
Research Year
2019

IoT Based Interdigital Capacitance Sensing System for Damage Detection in CFRP-Concrete Structures

Research Abstract

In this paper, we present an Internet of Things framework for structural health monitoring. The proposed system detects the delimitation and debonding in composite concrete structures: more specifically, develop an IoT-Based Non-Destructive Test (NDT) to detect debonding between Carbon Fiber sheets and Concrete slabs. An Inter Digital Capacitance Sensor is designed and fabricated to function as the primary detection element. The sensor is embedded within an IoT node that manages the measurement process, captures the measurement location automatically, and performs essential data filtering operations with an attached graphical interface that allows basic control and early-access to the measured data. The IoT node integrates within the larger framework via wireless WiFi connection throughout which the data is transferred and control functions are administrated. The paper presents the system design details including mathematical modeling for the capacitance sensing element, finite element simulation results, and practical setup measured data.

Research Authors
M AbdelRaheem, M AbdelHafeez, A Nassr
Research Department
Research Journal
IEEE Access
Research Pages
138658 - 138667
Research Publisher
IEEE
Research Vol
9
Research Website
https://ieeexplore.ieee.org/abstract/document/9559920
Research Year
2021

Design of 6 GHz High Efficiency Long Range Wireless Power Transfer System Using Offset Reflectors fed by Conical Horns

Research Abstract

This paper presents a proposed design procedure of a Wireless Power Transfer (WPT) system based on high efficiency offset reflector antennas fed by conical horns. The system's performance evaluation is also demonstrated. The antennas in the transmitter and receiver sides of the proposed WPT system are symmetric. The performance of the system is optimized by calibrating the feeding horns and the offset reflector's dimensions to minimize the path and reflection losses of the proposed WPT system. The results show that correct line of sight alignment of the transmitter and receiver enhances the efficiency of the system. With an operating frequency of 6 GHz and 1 W of power transfer over a distance of 12 m between the transmitter and receiver, the system attains a total transfer efficiency of 62.9 %.

Research Authors
M AbdelHafeez, K Yousef, M AbdelRaheem, EEM Khaled
Research Department
Research Journal
International Conference on Innovative Trends in Computer Engineering
Research Pages
365-370
Research Publisher
IEEE
Research Website
https://ieeexplore.ieee.org/abstract/document/8646558/
Research Year
2019

Capacitance-based Technique for Detection of Reinforcement Bars in Concrete Structures

Research Abstract

This paper presents a non-destructive capacitance-based technique for rebars detection in reinforced concrete structure. The proposed technique depends on capacitance variation between the two electrodes of a co-planar capacitive sensor while scanning across different concrete sections with and without reinforcement bars. A mathematical model is used to provide meaningful interpretation for the effect of different sensor and concrete parameters on the measured capacitance. The finite element model is built and accompanied by a dedicated experimental setup to confirm theoretical estimations. Simulation and experimental results confirmed a detectable capacitance variation while scanning across the reinforced concrete slab in experimental setup for rebars detection.

Research Authors
M AbdelHafeez, AA Nassr, M Abdelraheem
Research Department
Research Journal
IEEE Sensors
Research Pages
7713 - 7724
Research Publisher
IEEE
Research Vol
21
Research Website
https://ieeexplore.ieee.org/abstract/document/9294115/
Research Year
2020
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