About
14
Publications
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Introduction
Mohamed Omar currently works at the Department of Production Engineering and mechanical design, Mansoura University. Mohamed does research in Welding planning, Mechanical Engineering, Industrial Robots and FEA.
Current institution
Education
December 2014 - October 2018
Mansoura University
Field of study
- Mechanical Design & Production Engineering
Publications
Publications (14)
Direct sunlight causes glare and reduces indoor daylight quality, making shading systems essential. This study proposes and validates a perforated shading screen (PSS) to enhance daylighting and energy efficiency. A hybrid approach integrating parametric modeling, machine learning, multi-criteria decision-making (MCDM), and genetic algorithm (GA) i...
In this work, we observe that indoor 3D object detection across varied scene domains encompasses both universal attributes and specific features. Based on this insight, we propose SOFW, a synergistic optimization framework that investigates the feasibility of optimizing 3D object detection tasks concurrently spanning several dataset domains. The co...
Recently, developed data-driven SINDy-based techniques can identify the dynamic model of serial robots without simplifying assumptions nor pre-knowledge of all kinematics and geometric details. However, these techniques cannot handle non-linear friction models, which significantly affects the precision of the dynamic model identification. This stud...
Industrial standard model-based controllers need an accurate dynamic model to perform reliably. The classical technique for dynamics modeling of industrial robots relies on deriving the closed-form dynamic equations and then identifying the inertial parameters on the assumption that all the kinematic and geometric details of the robot are known. Th...
Local feature matching, which aims to establish the matches between image pairs, is a pivotal component of multiple visual applications. While current transformer-based works exhibit remarkable performance, they mechanically alternate self- and cross-attention in a predetermined order without considering their prioritization, culminating in inadequ...
Robot dynamic modeling and parameter identification are essential for many analyses. High-fidelity multi-body dynamics simulators can model the robot’s dynamic behavior, but they can’t identify the robot non-linear dynamic model, which is needed for controller design. This study proposes a three-step machine learning framework for obtaining the dyn...
This study aims to report the progress and latest status of the “selection of welding process” problem in terms of research, developments, and applications. In addition, it introduces guidelines to serve constructing future expert systems for the problem. Therefore, it presents an extensive literature review on the approaches used to model and solv...
This paper develops a multiple criteria decision-making system, named here as FAQT. This system is incorporated into a three-phase framework which can be applied to solve the problem of welding process selection at academic and industrial levels. This system integrates the Fuzzy–AHP–TOPSIS system with the quality tool QFD to enable incorporating ad...
This paper develops a framework to differentiate welding processes, for industrial purposes, according to two families of criteria. It is constructed as a phase-wise decision support system that reviews objects with physical and economic criteria. The first phase excludes the non-functioning processes from the panel, and catching the best candidate...
A two-phase decision support framework is presented and experimented with a case study to find the level of preference of any number of welding processes under a variety of welding circumstances.
Questions
Questions (2)
I'm trying to simulate heat transfer and thermal expansion in welding using COMSOL5.5. I have simulated the moving heat source and got the temperature as shown in Figure1. I have made two studies
Study 1 time dependent
which solves the heat transfer model only and give solution (1)
i want to use this output (temperature for time from 1 to 50 s) as an input for the next study
Study 2 time dependent
which solves the solid mechanics model only to get plastic deformation, thermal expansion and stress also from 1 to 50 s
Hello every one, I'm making a model to simulate heat transfer and thermal deformations at welding with a moving heat source through coupling heat transfer and solid mechanics. when i simulate heat transfer and the moving heat source only, the simulation runs very well but the problem is when i couple it with solid mechanics the moving heat source drifts and doesn't move in a straight forward line (welding direction). also, the moving heat source equation after simulation tells (inconsistent unit)
please, can any one tell me where is the problem? what am i missing? or what should i do to model this situation
