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Mahdi S. Alajmi
Mahdi S. Alajmi
Professor of Mechanical Engineering College of Technological Studies-PAAET
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Title
Cited by
Cited by
Year
Correlation between mechanical properties with specific wear rate and the coefficient of friction of graphite/epoxy composites
M Alajmi, A Shalwan
Materials 8 (7), 4162-4175, 2015
712015
Mechanical properties of palm fibre reinforced recycled HDPE
B Aldousiri, M Alajmi, A Shalwan
Advances in Materials Science and Engineering 2013, 2013
622013
Prediction and optimization of surface roughness in a turning process using the ANFIS-QPSO method
MS Alajmi, AM Almeshal
Materials 13 (13), 2986, 2020
572020
Predicting the tool wear of a drilling process using novel machine learning XGBoost-SDA
MS Alajmi, AM Almeshal
Materials 13 (21), 4952, 2020
332020
Modeling of cutting force in the turning of aisi 4340 using gaussian process regression algorithm
MS Alajmi, AM Almeshal
Applied Sciences 11 (9), 4055, 2021
322021
Effect of number of blades and blade chord length on the performance of Darrieus wind turbine
TG Abu-El-Yazied, AM Ali, MS Al-Ajmi, IM Hassan
American Journal of Mechanical Engineering and Automation 2 (1), 16-25, 2015
322015
Tribological characteristics of graphite epoxy composites using adhesive wear experiments
M Alajmi, KR Alrashdan, T Alsaeed, A Shalwan
Journal of Materials Research and Technology 9 (6), 13671-13681, 2020
312020
Selection of optimal conditions in the surface grinding process using the quantum based optimisation method
MS Alajmi, FS Alfares, MS Alfares
Journal of Intelligent Manufacturing 30, 1469-1481, 2019
152019
Insulation characteristics of sisal fibre/epoxy composites
A Shalwan, M Alajmi, A Alajmi
International Journal of Polymer Science 2017, 2017
132017
Least squares boosting ensemble and quantum-behaved particle swarm optimization for predicting the surface roughness in face milling process of aluminum material
MS Alajmi, AM Almeshal
Applied Sciences 11 (5), 2126, 2021
112021
Tribological investigation of frictional behaviour of mild steel under canola bio-lubricant conditions
A Shalwan, BF Yousif, FH Alajmi, KR Alrashdana, M Alajmi
Tribology in Industry 42 (3), 481-493, 2020
62020
Correlation between mechanical properties with specific wear rate and the coefficient of friction of graphite/epoxy composites. Materials (Basel) 8: 4162–4175
M Alajmi, A Shalwan
52015
Tribological behavior of mild steel under canola biolubricant conditions
A Shalwan, BF Yousif, FH Alajmi, M Alajmi
Advances in Tribology 2021, 1-13, 2021
42021
Neural network models on the prediction of tool wear in turning process: a comparison study
MS Alajmi, SE Oraby, II Esat
Artificial Intelligence and Applications: IASTED International Conference …, 2005
42005
Effect of aging process in different solutions on kenaf fibre structure and its interfacial adhesion in epoxy composites
A Shalwan, M Alajmi, A Alajmi
International Journal of Polymer Science 2018, 2018
32018
Using infrared thermograph of chip temperature to monitor cutting edge performance
MS Alajmi, SE Oraby
Applied Mechanics and Materials 789, 549-553, 2015
32015
On the influence of the speed-feed interaction on the wear rate and life of multiple coated carbide inserts considering rough turning process
MS Alajmi, SE Oraby
Applied mechanics and materials 575, 431-436, 2014
32014
Thermal and Nanoindentation Behaviours of Layered Silicate Reinforced Recycled GF-12 Nanocomposites
A Shalwan, A Alateyah, B Aldousiri, M Alajmi
Journal of Materials Science Research 5 (10), 2016
22016
Electro-mechanical modelling and load sway simulation of container cranes with hoisting
FS Al-Fares, TG Abu-El Yazied, HR Al-Mubarak, MS Al-Ajmi
Australian Journal of Basic and Applied Sciences 4 (2), 265-273, 2010
12010
Neural-optimizer system for tool wear prediction in turning process
M Alajmi
Brunel University;, 2005
12005
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