Mohammed Abdulridha Abbas
@en.atu.edu.iq
Aeronautical Engineering Techniques Department/Engineering Technical College-Najaf (ETCN)
Al-Furat Al-Awsat Technical University (ATU)/Engineering Technical College-Najaf (ETCN)
EDUCATION
1. Bachelor of Engineering in Dies and Tools Technology, Technical College Engineering-Baghdad, Foundation of Technical Education, Middle Technical University-Baghdad, Iraq, 2005.
2. Master of Engineering-Mechanical Engineering, Production, Osmania University, Hyderabad, Telangana, India, 2012.
3. Master Certificate (Master Diploma) in Computer Aided Tool Engineering, MSME-Tool Room, Central Institute of Tool Design, Hyderabad, Telangana, India, 2012.
4. PhD of Mechanical Engineering, Manufacturing, Universiti Tun Hussein Onn Malaysia (UTHM), Parit Raja, Johor, Malaysia, 2020.
RESEARCH INTERESTS
Non-Traditional Machining, Finite Element Analysis, Optimization techniques
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Abdul Shaker, Abdulridha Mohammed, Ramin Hashemi, Mohd Lajis, and Muhannad Ahmed
Centre for Evaluation in Education and Science (CEON/CEES)
In the Friction Stir Welding (FSW) operation, the role of thermal applied load modeling is no secret to simulate the heat distribution issued from this process. Unfortunately, the previous models implemented in transient mode did not present an accurate model for the moving heat source resulting from FSW operation. The main reason for this issue is attributed to the confidence and deviation ratios, especially with the Gaussian Distribution (GD). Besides, these models did not utilize the constitutive models of yield strength for comparison. Accordingly, the current study aims to present hybrid thermal models adopting 99.75% and 0.25% for confidence and deviation ratios, respectively, where it hybridized the Von Mises criterion with the constitutive models for yield strength to Voce, Hollomon, and Swift. Hence, these models contribute to presenting a comparison study to predict numerically the thermal history and investigate this history experimentally. Therefore, these hybrid models were used with finite element simulation to validate the experimental thermal history of FSW for Al 6061-T6 under 800 rpm, 10 mm/min, and 15 kN for rotational speed, linear velocity, and applied force sequentially. Finally, this validation has proved the dominance of the hybrid model for Von Mises-Voce in predicting the thermal history and peak temperature compared to other hybrid models.
Mohammed Abdulridha Abbas, Ola Mohammed Merzah, Ahmed Dheyaa Jawad, Dhafer Manea Hachim, Ghassan Shaker Abdul Ridha, and Bahaa Abdulhur Hatem
Springer Nature Singapore
M.A. Abbas, M.A. Lajis, D.R. Abbas, O.M. Merzah, M.H. Kadhim, and A.A. Shamran
Materialwissenschaft und Werkstofftechnik Wiley
O. M. Merzah, M. N. Ibrahim, M. A. Abbas, and M. A. Lajis
Lecture Notes in Mechanical Engineering Springer Singapore
M. A. Abbas and M. A. Lajis
Lecture Notes in Mechanical Engineering Springer Singapore
D. R. Abbas, M. A. Lajis, and M. A. Abbas
Lecture Notes in Mechanical Engineering Springer Singapore
Huda M. Sabbar, S. Shamsudin, Mohammed Abdulridha Abbas, Muntadher S. Msebawi, Mohd Sukri Mustapa, Mohd Amri Lajis, Mohammed H. Rady, and Sami Al Alim
Springer Singapore
The AA6061-T6 aluminum alloy is one of the widely spread alloys, used in different fields and most commonly in automotive industries. Due to high demand of this alloy, direct recycling plays a significant role to reduce the energy consumption and greenhouse gas emissions. The progressing of the product technology requires the mechanical properties of this alloy to be enhanced to meet the expressed requirements. Therefore, enhancement of the directly recycled aluminum alloy chips based matrix composite is crucial. This study focuses on the influences of Preheating Temperature (PHT), Preheating Time (PHti), and Volume Fraction (VF) on Wear Mass Loss (WML) property of the newly developed chip-based matrix composite. The result of Analysis of Variance (ANOVA) exhibits the considerable effect of PHT and VF on WML. The P-Value of all parameters was set at 5% significance level. This criterion revealed very strong interactions between PHT × PHti, PHT × VF, and PHT × PHti × VF respectively. The optimum values for PHT, PHti, and VF are 550 °C, 3 h, and 15% which revealed the optimum WML of 0.0014 and desirability of 0.9876. A response optimizer shows that as low as 0.0014 g wear mass loss can be possibly achieved. This optimum reading will deliver the best wear performance for the applications of Aluminum Matrix Composites (AMCs) in the wear demanded working environment.
Mohammed Abdulridha Abbas and Mohd Amri Lajis
Lecture Notes in Mechanical Engineering Springer Singapore
M. A. Abbas, M. A. Lajis, A. D. Jawad, E. A. Rahim, S. Ahmed, and N. A. Jamil
Universiti Malaysia Pahang Publishing
Most past studies did not attempt to improve the numerical model for the electrode removal rate which depends on the experimental results. Furthermore, these studies have not included the damage-sensing for the electrode in Powder Mixed-EDM (PMEDM) medium. Therefore, the current study aims to enhance this model for the copper electrode based on the heat flux for the spark channel. Besides, it focuses on sensing the copper electrode damage depending on the slope relation between eroding velocity and the pulse duration. In both studies, during machining D2 steel, Nano chromium powder in the dielectric liquid is applied. The correlation factor between the Numerical Heat Flux q(r) and the experimental results for the Tool Wear Rate (TWR) attained is 93.06%. The value of this factor improves the mathematical model for TWR instead of the traditional mechanism that adopts the crater volume. Also, the damage-sensing constant (STD) in the copper electrode is very efficient at the minimum value of the peak current (IP), powder concentration (PC) and the maximum level of the pulse duration (Ton). Thus, the statistical confirmation using Response Surface Methodology (RSM) produced a higher value of the composite desirability (96.76%) and error percent equals to (10.3%-1.55%) and (0.18%-2.40%) for TWR and q(r), respectively. On the other hand, the optimum operation values are IP = 10 Amps, Ton = 30 µs, and PC = 2 g/L. These confirmation values are similar to the trials No. (3) and No. (11). Therefore, these values confirm the main purpose in order to obtain the best performance for TWR at the minimum spark heat.
Muntadher S. Msebawi, Jayaprakash Murugesan, Shazarel Shamsudin, Mohammad Hussein Rady, Huda M. Sabbar, Mohammad Sukri Mustapa, Mohd Amri Lajis, and Mohammed Abdulridha Abbas
Trans Tech Publications, Ltd.
Ultimate tensile strength (UTS) becomes a primary concern in direct recycling of metal chips. This study investigates the influences of preheating temperature, preheating time and volume fraction of alumina on the tensile strength performance. The parameters of temperature, time and volume fraction of micro alumina were varied between 450 - 550 oC, 1 - 3 hours and 5 - 15% respectively. The full factorial design with center point analysis was employed to analyse the effect of process variables on the response. A total of 19 experimental runs were performed through the hot extrusion operation. The preheating temperature and volume fraction were identified as the key variables affecting the UTS. An optimum UTS was obtained for the profile extruded at 550 oC, 3 hours duration and 5% volume fraction of alumina.