Skip to main content

Improvement of motion accuracy and energy consumption of a mechanical feed drive system using a Fourier series-based nonlinear friction model

Research Authors
Abdallah Farrage, Naoki Uchiyama
Research Journal
The International Journal of Advanced Manufacturing Technology
Research Pages
1203-1214
Research Publisher
Springer
Research Vol
99
Research Year
2018

Trajectory Tracking of SCARA Robot with an Adaptive Neuro-Fuzzy Control Scheme

Research Authors
Abdallah Farrage AB Sharkawy, A. S. Ali, M-Emad Soliman, H. A. Mohamed
Research Date
Research Journal
International Journal of Engineering Research-Online
Research Pages
512-520
Research Vol
3
Research Year
2015

Experimental Investigation of an Adaptive Neuro-Fuzzy Control Scheme for Industrial Robots

Research Authors
Abdallah Farrage, Abd el Badie Sharkawy, A. S. Ali, M-Emad S. Soliman, and Hany A. Mohamed
Research Journal
J. Eng. Sci. Fac. Eng. Univ.
Research Pages
703–721
Research Vol
42
Research Year
2014

Task Offloading and Resource Allocation in an RIS-assisted NOMA-based Vehicular Edge Computing

Research Abstract

With the rise of intelligent transportation (ITS), autonomous cars, and on-the-road entertainment and computation, vehicular edge computing (VEC) has become a primary research topic in 6G and beyond communications. On the other hand, reconfigurable intelligent surfaces (RIS) are a major enabling technology that can help in the task offloading domain. This study introduces a novel VEC architecture that incorporates non-orthogonal multiple access (NOMA) and reconfigurable intelligent surfaces (RIS), where vehicles perform binary or partial computation offloading to edge nodes (eNs) for task execution. We construct a vehicle-to-infrastructure (V2I) transmission model by considering vehicular interference and formulating a joint task offloading and resource allocation (JTORA) problem with the goal of reducing total service latency and energy usage. Next, we decompose this problem into task offloading (TO …

Research Authors
Abdul-Baaki Yakubu, Ahmed H Abd El-Malek, Mohammed Abo-Zahhad, Osamu Muta, Maha M Elsabrouty
Research Date
Research Department
Research Journal
IEEE Access
Research Member
Mohammed Abo Zahhad
Research Publisher
IEEE
Research Year
2024

A simulation on field distribution and particle capture characteristics in a multi-wire PHGMS system

Research Abstract

In the development history of high gradient magnetic separation (HGMS), the introduction of pulsating flow was extremely important, it successfully solved the problem of matrix clogging and allowed continuous and stable operation in the industry. However, the current pulsating HGMS (PHGMS) theory remains inadequately understood. In this paper, a 2D simulation model was established in COMSOL Multiphysics to reveal the magnetic field characteristics, flow field distribution, and particle capture dynamics in a PHGMS system. Quantitative comparisons were carried out between single-wire and multi-wire systems in the presence and absence of pulsation flow. The simulation results indicated that due to the coupled effect of neighboring magnetic wires in matrix, the magnetic field strength around an individual magnetic wire would slightly drop while the flow field velocity would increase. The introduction of pulsating flow could increase the peak value of fluid velocity and give particles a chance to move up and down. The analysis of particles travels length and capture probability indicated that the recovery for fine particles might be improved by increasing the strength of pulsating flow. This study provided a novel strategy for the highly efficient recovery of fine, weakly magnetic materials.

Research Authors
Nourhan Ahmed, Yaxiong Jiang, Ai Wang, Zixing Xue & Luzheng Chen
Research Date
Research Journal
Separation Science and Technology
Research Member
Research Publisher
Taylor & Francis
Research Website
https://doi.org/10.1080/01496395.2024.2426013
Research Year
2024

Enhancing PHGMS performance for recovery of ultra-fine ilmenite from tailings

Research Abstract

In southwest China, the Panzhihua area annually produces about 80 million tons of tailings with a TiO2 grade of around 5.0%, which causes serious waste of titanium resources as well as environmental and safety issues. The ilmenite contained in these tailings is ultra-fine in size, so it is difficult to recover under the regular operating conditions of pulsating high gradient magnetic separation (PHGMS). In this study, an SLon-100 PHGMS separator was applied to concentrate an ultra-fine titanium tailing under a wide range of operating conditions. The experimental results indicated that a combination of high pulsating frequency, large pulsating stroke, and low feed velocity was favorable for the highly efficient recovery of ultra-fine ilmenite from the tailings. The TiO2 grade in the optimal concentrate was enhanced from 4.33% to 13.64%, at a recovery of 66.55% and an enrichment ratio of 3.15 through a one-stage PHGMS process. The size analysis of the optimal concentrate showed that the TiO2 recovery in -25+18 µm and -18+10 µm fractions exceeded 70%. To further understand this PHGMS performance, the optimal ultra-fine ilmenite and larger-size ilmenite concentration conditions were compared. This study provides a valuable reference in the PHGMS operation for recovering ultra-fine weakly magnetic minerals, including ilmenite.

Research Authors
Nourhan Ahmed , Xiaowei Li , Zixing Xue , Xiangjun Ren , Huichun Huang , Luzheng Chen
Research Date
Research Journal
Physicochemical Problems of Mineral Processing
Research Member
Research Website
https://doi.org/10.37190/ppmp/189617
Research Year
2024
Subscribe to