Coordination of distance relays with a new flexible time-voltage-current characteristic numerical relay implemented using FPGA N Praneeth, STP Srinivas, Segun E. Ibitoye, Esther T. Akinlabi, Rasheedat M. Mahamood, Tien-Chien Jen Electric Power Systems Research, 2026 This paper delves into determining optimal zone-II settings for distance relays (DS) in coordination with numerical relays equipped with new proposed flexible time-voltage-current characteristics (FTVCC). A comprehensive comparative analysis is conducted, considering the existing standard and fully adjustable characteristic configurations of numerical relays proposed in the past literature on optimal protection coordination problem (OPCP). The study encompasses a thorough investigation of the applicability of the proposed FTVCC utilizing 9 bus, 14 bus, and IEEE 39 bus systems, with results compared across different relay characteristics. The results are achieved using nonlinear programming methodology with OPTI global optimization toolbox. The percentage reduction FTVCC achieved in the objective function is 41.09%, 37.72%, and 77.05% for the 9 bus, 14 bus, and IEEE 39 bus systems, respectively, when compared with the existing characteristics. The test systems are designed in DIGSILENT power factory, and the electromagnetic transient (EMT) simulations are extracted and fed to the FPGA-based FTVCCs through MATLAB Simulink interface in the experimental framework. This ensures that the performance and functionality of the proposed FTVCC are tested and verified under FPGA-validated conditions driven by different fault scenarios, serving as a preliminary semi-hardware verification step prior to full-scale field implementation for future works.
Nature-inspired neural network-based intelligent modeling approaches for micro additive manufacturing system Amit Kumar Ball, Abhaya Kumar Pradhan, Segun Emmanuel Ibitoye, Md Asif Thanedar, Soubhagya Ranjan Mallick, Rasheedat M. Mahamood, Tien-Chien Jen, Esther T. Akinlabi International Journal of Advanced Manufacturing Technology, 2026 In this work, machine learning (ML) models have been developed to predict the feature responses in additive manufacturing to guide the process operation to achieve higher prediction accuracy. Artificial neural network models have been trained with the help of nature-inspired metaheuristic algorithms. This work also demonstrates the power of nature-inspired algorithms for learning the complex non-linearity present inside the data set. Importantly, the proposed models serve as a foundation for Digital Twin enabled AM process optimization under uncertainty, enhancing real-time monitoring and predictive analytics in additive manufacturing systems. Several prediction models were established among the laser power, scanning speed and track width, track depth, track height, and contact angle on the formation of a single track. The performance of various models in terms of their prediction accuracy, adaptability and relevance were further evaluated by comparing each of the models outcome. The experimental data has been collected from the literature. The result shows that the iFANN gives a better performance for predicting the track width, depth, height, and contact angle. The metaheuristic algorithm-guided neural network models perform extremely well for predicting the track height and contact angle compared to the traditional regression model. The iFANN model achieved minimized RMSE prediction value with only 30 generations, which traditional backpropagation model fails to achieve the same accuracy even with higher number of generations.
Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech-Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain Segun E. Ibitoye, Amit K. Ball, Raul V. Rodriguez, Olalekan A. Olayemi, Peplluis Esteva, Peter O. Omoniyi, Isaac K. Adegun, Rasheedat M. Mahamood, Esther T. Akinlabi Sustainable Development, 2026 Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with circular economy goals. Key findings highlight the transformative role of digital tools in waste classification, forecasting, and real‐time monitoring. Long Short‐Term Memory models achieved up to 94% accuracy in biogas prediction, while XGBoost demonstrated 98.5% accuracy in solid waste generation forecasting. Deep learning systems have reached classification accuracies of 83.11% across 28 recyclable categories and mean average precision scores up to 63% in complex waste detection. Despite promising advances, challenges such as data quality, regulatory hurdles, and system interoperability persist. This article contributes both a conceptual and practical blueprint for stakeholders, positioning smart waste valorization as a strategic opportunity to drive innovation.
Fused deposition modeling component quality enhancement by experimental investigation and ANN prediction Noah E. El-Zathry, Tarek El-Attar, Ibrahim Sabry, Rasheedat M. Mahamood, Stephen Akinlabi, Wai Lok Woo, Esther Akinlabi, Ahmed El-Assal International Journal on Interactive Design and Manufacturing, 2026 Fused Deposition Modeling (FDM) is a widely adopted additive manufacturing process in which surface roughness (SR) critically influences the performance and appearance of printed components. This study presents an Artificial Neural Network (ANN) model to predict and optimize SR based on three key process parameters: extrusion temperature, layer height, and printing speed. A full factorial design of 64 experiments was conducted using PLA material, and the resulting data were used to train a 3-10-1 ANN architecture in MATLAB R2021a. The model was trained using the Levenberg–Marquardt algorithm with a 70:15:15 split for training, validation, and testing. The ANN achieved a high correlation coefficient (R² >0.99) and a maximum prediction error of 1.23%, confirming its robustness and accuracy. Analysis showed that layer height had the greatest impact on SR due to the staircase effect, while extrusion temperature and printing speed had secondary effects. Optimal surface roughness was achieved at an extrusion temperature of 210 °C, layer height of 0.1 mm, and printing speed of 40 mm/s, consistently improving surface quality across horizontal, vertical, and inclined orientations. These settings minimize surface roughness by balancing thermal adhesion, layer resolution, and deposition accuracy across varied geometries. The developed ANN model offers a reliable, data-driven tool for process optimization in FDM, enabling improved print quality and reduced trial-and-error in industrial applications. Graphical abstract
Comparative study of FSW and TIG welding of AA3003 aluminium flange joints under varying tool geometries and rotational speeds Ibrahim Sabry, Noah E. El-Zathry, Rasheedat M. Mahamood, Stephen Akinlabi, Wai Lok Woo Welding in the World, 2026 Flange joints are widely used in pipelines, heat exchangers, and pressure-retaining aluminium structures, yet their behaviour under friction stir welding (FSW) remains insufficiently explored in the literature. This study addresses this gap by evaluating the combined effects of tool geometry and rotational speed on the microstructural and mechanical performance of FSW AA3003 flange joints, with Tungsten Inert Gas (TIG) welding used as a benchmark. The conical-pin tool produced superior weld quality, generating refined stir-zone grains (7.26 µm), higher hardness (46 HV₀.₂), and the highest tensile strength (185 MPa) owing to enhanced material flow and dynamic recrystallisation. The cylindrical pin yielded slightly lower properties (44 HV₀.₂, 165 MPa), while TIG welds exhibited coarse dendritic structures and reduced strength. Hydrostatic testing further demonstrated the sealing advantage of FSW, with conical-pin welds remaining leak-tight up to 32 bar, compared with failure at 23–25 bar in TIG joints. These results establish optimised FSW, particularly with conical-pin geometry, as a high-integrity, energy-efficient, and sustainable joining method for aluminium flange assemblies.
Safety Considerations in Deployment of Robotic Systems – A Systematic Review Adedire D. Adesiji, Segun E. Ibitoye, Rasheedat M. Mahamood, Olalekan A. Olayemi, Peter O. Omoniyi, Tien‐Chien Jen, Esther T. Akinlabi Journal of Field Robotics, 2026 An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems, concentrating exclusively on peer‐reviewed articles. A search method was developed to collect relevant articles, using keywords such as safety, fault, risk evaluation, safety evaluation, risk assessment, and ergonomics, among others. The keyword “robot” was utilized to bias the search results, which helped to narrow down collected articles to papers directly related to robotics. The risk assessment process includes recognizing machine shortcomings, recognizing threats, evaluating risk, and articulating a standardized computerized risk strategy. Mathematical analysis plays a crucial role in assessing the technical and social behavior of robots in different applications. Generally, injury associated with robots arises from errors during risk assessment. The Risk Ranking Number (HRN) is employed to quantify the degree of safety, incorporating factors like the possibility of occurrence and magnitude of potential hazard. In robot design, the main attention should be on minimizing/eradicating physical hazards and optimizing control mechanisms. Algorithms like force limitation and obstacle avoidance can minimize injury risk, especially during robot–human interactions. The review underscores the critical importance of establishing comprehensive risk assessment frameworks and utilizing safety models, algorithms, and functions as crucial tools to safeguard the integrity and security of robotic systems.
Parametric optimisation of ultrasonic vibration-assisted friction stir welding for AA2060 Al-Li alloy Noah E. El-Zathry, Rasheedat M. Mahamood, Stephen Akinlabi, Wai Lok Woo, Vivek Patel International Journal of Advanced Manufacturing Technology, 2025 Ultrasonic Vibration–Assisted Friction Stir Welding (UVaFSW) represents a next-generation solid-state joining technology designed to overcome the limitations of conventional friction stir welding by integrating ultrasonic energy to promote refined microstructures and superior joint integrity. This study presents a systematic optimisation and metallurgical investigation of UVaFSW applied to aerospace-grade AA2060-T8E30 Al–Li alloy, linking process design, microstructural evolution, and mechanical performance through Response Surface Methodology (RSM). A Central Composite Design was employed to model the effects of tool rotational speed (TRS), traverse speed (TTS), axial force (AF), tilt angle (TA), and ultrasonic vibration amplitude (Amplitude, µm) on ultimate tensile strength (UTS), elongation (EL), and hardness (HV). The optimised parameters (TRS = 1200 rpm, TTS = 2 mm s⁻¹, AF = 6 kN, TA = 2°, Amplitude = 15 μm) yielded UTS = 449.8 MPa, EL = 12.9%, and HV = 129.1, achieving ~ 90% joint efficiency with R² > 94%. Metallurgical characterisation revealed that an intermediate-amplitude (15 μm) deformation induced intense dynamic recrystallisation, refined grains to ≈ 4.6 μm, and homogenised the S′–Al₂CuMg and Al₆(Mn, Fe) precipitates, simultaneously enhancing strength and ductility. This work establishes a quantitative link between ultrasonic amplitude, microstructural evolution, and mechanical optimisation in Al–Li alloy UVaFSW, demonstrating its potential to produce defect-free, high-efficiency joints for sustainable aerospace manufacturing.
Comparative evaluation of conventional friction stir welding and ultrasonic vibration-assisted friction stir welding techniques Noah E. El-Zathry, Rasheedat M. Mahamood, Wai Lok Woo, Sarah Green, Stephen A. Akinlabi, et al. Journal of Advanced Joining Processes, 2025 • Ultrasonic vibration-assisted FSW (UVaFSW) improved joint strength and ductility of AA2060-T8, with UTS increasing by up to 31.8 % and elongation reaching 11 %. • UVaFSW refined grain structure and enhanced precipitate uniformity, leading to improved microstructural homogeneity and weld quality. • UVaFSW eliminated surface defects and produced defect-free joints under high-speed conditions (4 mm/s, 6 kN), which were prone to flaws in FSW. Enhancing joint strength in aluminium alloys remains a critical challenge for industrial applications. Friction stir welding (FSW) is a solid-state welding process that offers superior weld quality compared to fusion methods. However, further advancements are needed, particularly for high-performance alloys like third-generation Al-Li. To address this, ultrasonic vibration-assisted FSW (UVaFSW) has been explored as a potential enhancement. This study compares the mechanical and microstructural properties of AA2060-T8-E30 joints produced by FSW and UVaFSW. Key process parameters, including tool traverse speed and ultrasonic vibration amplitude (7.5 µm and 22.5 µm), were varied to assess their influence on weld quality. Mechanical performance was evaluated through tensile testing and Vickers microhardness, while microstructural characteristics were examined using optical microscopy and SEM. The results demonstrated that UVaFSW significantly improved material flow, reduced asymmetry in the thermo-mechanically affected zone (TMAZ), and refined the grain structure. Consequently, the ultimate tensile strength increased by 16.6 % and 31.8 % at 7.5 µm and 22.5 µm amplitudes, respectively, and elongation reached 11 %, nearly three times that of FSW. Furthermore, UVaFSW produced finer grains and more uniform precipitate distribution. Therefore, UVaFSW emerges as a promising technique for enhancing weld quality in advanced Al-Li alloys for demanding engineering applications.
Optimization of Rice Straw Properties via Torrefaction for Solid Fuel Applications Segun E. Ibitoye, Chanchal Loha, Rasheedat M. Mahamood, Olalekan A. Olayemi, Meraj Alam, Tien-Chien Jen, Monday J. Abdullahi, Esther T. Akinlabi Bioenergy Research, 2025 This study investigated the potential of biochar produced via torrefaction of rice straw as a sustainable alternative to coal and coke in iron and steel production. The effects of process parameters, temperature (200–300 °C), residence time (20–60 min), and heating rate (10–30 °C/min) on torrefaction yield were evaluated. Following optimization, the biochar was characterized through ultimate, proximate, SEM, BET, EDS, and TG analyses, and its properties were compared to those of coal. The results indicated that the solid, Liquid, and syngas yields ranged from 44.67–96.43, 1.50–22.39, and 2.07–36.79%, respectively. The optimized process parameters achieved a solid yield of approximately 64% at an optimal temperature of 270 °C. The moisture, ash, volatile, and fixed contents of the biochar ranged from 7.43–8.80, 5.76–6.87, 21.75–28.26, and 56.83–63.82%, respectively. Among the optimized samples, O3 exhibited superior combustion performance, with a fixed carbon content of 63.82%, and morphological properties comparable to bituminous coal. The HHV (19.88 MJ/kg) of the optimized biochar falls within the upper range of lignite and approaches the lower range of bituminous coal. The optimized biochar showed a significantly higher BET surface area (58.845–59.572 m2/g) than lignite and anthracite (0.187–1.498 m2/g). Its BJH-specific surface area (47.423–48.194 m2/g) also far exceeds that of coal (0.178–1.985 m2/g), indicating superior adsorption capacity. Additionally, the total pore volume of the biochar (0.1366–0.1407 cm3/g) and average pore diameter (4.457–4.765 nm) surpass those of coal, supporting enhanced mass transfer and surface interactions.
Concentrations, sources, and health risks of potentially toxic elements in milled maize Jamiu Adetayo Adeniran, Jeleel Adekunle Adebisi, Segun Isaac Talabi, Taiwo Yahaya, Ismaila Idowu Ahmed, Rasheedat Modupe Mahamood, Mariam Kehinde Sulaiman, Lawrence Aderemi Olatunji, Jamiu Kolawole Odusote, Suleiman Abdulkareem Human and Ecological Risk Assessment, 2023
Impact of process parameters of laser welding on the mechanical properties of TI6AL4V a review Journal of Chemical Technology and Metallurgy, 2021
Role of additive manufacturing in the era of Industry 4.0 Rasheedat Modupe Mahamood, Tien C. Jen, Stephen A. Akinlabi, Sunir Hassan, Kamar. O. Abdulrahman, Esther T. Akinlabi Additive Manufacturing A Tool for Industrial Revolution 4 0, 2021
Laser metal deposition of titanium composites: A review Esther T. Akinlabi, Ganiyat A. Soliu, R. M. Mahamood, Stephen A. Akinlabi, S. Hassan, M. Y. Shatalov, Evgenii Murashkin, O. S. Fatoba Lecture Notes in Mechanical Engineering, 2020
Wear Resistance Behaviour of Laser Additive Manufacture Materials: An Overview Rasheedat M. Mahamood, Yasuhiro Okamoto, Martin Ruthandi Maina, Stephen A. Akinlabi, Sisa Pityana, Monnamme Tlotleng, Esther T. Akinlabi 2019 International Conference on Engineering Science and Industrial Applications Icesi 2019, 2019
Laser Metal Deposition of Titanium Alloy (Ti6Al4V): A Review Esther T. Akinlabi, Yasuhiro Okamoto, Martin Ruthandi Maina, Stephen A. Akinlabi, Sisa Pityana, Monnamme Tlotleng, Ganiyat A. Soliu, Rasheedat M. Mahamood 2019 International Conference on Engineering Science and Industrial Applications Icesi 2019, 2019
Additive manufacturing/3d printing technology: A review Department of Mechanical Engineering, University of Ilorin, Nigeria, R. M. Mahamood, S. A. Akinlabi, Department of Mechanical Engineering Science, University of Johannesburg, Auckland Park Kingsway Campus, South Africa, M. Shatalov, Thwane University of Technology, Pretoria, South Africa, E. V. Murashkin, Ishlinsky Institute of Problems in Mechanics, Russian Academy of Science, E. T. Akinlabi, Department of Mechanical Engineering Science, University of Johannesburg, Auckland Park Kingsway Campus, South Africa Annals of Dunarea De Jos University of Galati Fascicle Xii Welding Equipment and Technology, 2019
Influence of laser power on the microhardness and wear resistance properties of laser metal deposited 17-4 PH stainless steel Department of Mechanical Engineering Science, University of Johannesburg, South Africa, A. Adeyemi, E. T. Akinlabi, Department of Mechanical Engineering Science, University of Johannesburg, South Africa, R. M. Mahamood, Department of Mechanical Engineering Science, University of Johannesburg, South Africa Annals of Dunarea De Jos University of Galati Fascicle Xii Welding Equipment and Technology, 2018
Microstructural evolution of laser metal deposited 17-4 PH SS-tungsten composite with varying volume percent tungsten Department of Mechanical Engineering Science, University of Johannesburg, South Africa, A. A. Adeyemi, E. T. Akinlabi, Department of Mechanical Engineering Science, University of Johannesburg, South Africa, R. M. Mahamood, Department of Mechanical Engineering Science, University of Johannesburg, South Africa Annals of Dunarea De Jos University of Galati Fascicle Xii Welding Equipment and Technology, 2018
Effect of scanning speed and gas flow rate on surface roughness of LMD titanium-alloy Lecture Notes in Engineering and Computer Science, 2016
Properties of titanium alloy manufactured by laser metal deposition process Titanium Alloys Types Properties and Research Insights, 2016
Laser power and scanning speed influence on intermetallic and wear behaviour of Laser metal deposited titanium alloy composite Lecture Notes in Engineering and Computer Science, 2016
A review of laser additive manufacturing of titanium and its alloys Titanium Alloys Types Properties and Research Insights, 2016
Microstructure and mechanical behaviour of laser metal deposited titanium alloy Lasers in Engineering, 2016
Laser metal deposition of Ti6Al4V/TiC composites using optimized process parameters Lasers in Engineering, 2016
Effect of processing parameter on wear resistance property of laser material deposited titanium-alloy composite Journal of Optoelectronics and Advanced Materials, 2015
Functionally graded material produced using laser metal deposition process Additive Manufacturing Am Emerging Technologies Applications and Economic Implications, 2015
The role of transverse speed on deposition height and material efficiency in laser deposited titanium alloy Lecture Notes in Engineering and Computer Science, 2013
Gas flow rate and powder flow rate effect on properties of laser metal deposited Ti6Al4V Lecture Notes in Engineering and Computer Science, 2013
Laser metal deposition of Ti6Al4V: A study on the effect of laser power on microstructure and microhardness Lecture Notes in Engineering and Computer Science, 2013
Improving the performance of adaptive PDPID control of two-link flexible robotic manipulator with ILC Engineering Letters, 2012
Adaptive PDPID with iterative learning for two-link flexible manipulator Lecture Notes in Engineering and Computer Science, 2012
Direct adaptive hybrid Pd-Pid controller for two-link flexible robotic manipulator Lecture Notes in Engineering and Computer Science, 2012
Effect of laser power on material efficiency, layer height and width of laser metal deposited Ti6Al4V Lecture Notes in Engineering and Computer Science, 2012
Functionally graded material: An overview Lecture Notes in Engineering and Computer Science, 2012
Hybrid PD/PID controller design for two-link flexible manipulators Ascc 2011 8th Asian Control Conference Final Program and Proceedings, 2011
Coordination of distance relays with a new flexible time-voltage-current characteristic numerical relay implemented using FPGA N Praneeth, STP Srinivas, SE Ibitoye, ET Akinlabi, RM Mahamood, ... Electric Power Systems Research 258, 113050 , 2026 2026
Experimental Investigation of the tensile and fatigue behaviour of 3D-Printed recycled PLA parts AC Igwe, RM Mahamood, NC Igwe, M Birkett, F Mwema, ET Akinlabi Advances in Materials and Processing Technologies, 1-19 , 2026 2026
Nature-inspired neural network-based intelligent modeling approaches for micro additive manufacturing system AK Ball, AK Pradhan, SE Ibitoye, MA Thanedar, SR Mallick, ... The International Journal of Advanced Manufacturing Technology 143 (7), 4413 … , 2026 2026
Smart waste, smarter world: exploring waste types, trends, and tech‐driven valorization through artificial intelligence, internet of things, and blockchain SE Ibitoye, AK Ball, RV Rodriguez, OA Olayemi, P Esteva, PO Omoniyi, ... Sustainable Development 34, 132-153 , 2026 2026 Citations: 7
Performance optimization of friction stir welded flanges: insights from a hybrid Grey-Taguchi method I Sabry, NE El-Zathry, RM Mahamood, S Akinlabi, WL Woo, M ElWakil Welding in the World 70 (3), 949-968 , 2026 2026 Citations: 16
Fused deposition modeling component quality enhancement by experimental investigation and ANN prediction NE El-Zathry, T El-Attar, I Sabry, RM Mahamood, S Akinlabi, WL Woo, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 20 (2 … , 2026 2026 Citations: 6
Thermodynamic modeling of non-equiatomic TiVNbCrAl-based lightweight refractory high-entropy alloys (LWRHEAs) for hydrogen storage applications AO Aluko, TC Jen, S Pityana, FM Mwema, R Mahamood, ET Akinlabi Energy Storage and Saving , 2026 2026 Citations: 1
Comparative study of FSW and TIG welding of AA3003 aluminium flange joints under varying tool geometries and rotational speeds I Sabry, NE El-Zathry, RM Mahamood, S Akinlabi, WL Woo Welding in the World, 1-18 , 2026 2026 Citations: 7
Safety considerations in deployment of robotic systems–a systematic review AD Adesiji, SE Ibitoye, RM Mahamood, OA Olayemi, PO Omoniyi, TC Jen, ... Journal of field robotics 43 (1), 5-33 , 2026 2026 Citations: 9
Parametric optimisation of ultrasonic vibration-assisted friction stir welding for AA2060 Al-Li alloy NE El-Zathry, RM Mahamood, S Akinlabi, WL Woo, V Patel The International Journal of Advanced Manufacturing Technology 141 (9), 5625 … , 2025 2025 Citations: 1
Comparative evaluation of conventional friction stir welding and ultrasonic vibration-assisted friction stir welding techniques NE El-Zathry, RM Mahamood, WL Woo, S Green, S Akinlabi, ... Journal of Advanced Joining Processes 12, 100330 , 2025 2025
Comparative evaluation of conventional friction stir welding and ultrasonic vibration-assisted friction stir welding techniques NE El-Zathry, RM Mahamood, WL Woo, S Green, S Akinlabi, ... Journal of Advanced Joining Processes 12, 100330 , 2025 2025 Citations: 9
Effect of Surface Roughness on Microstructure, Microhardness and Wear Properties of Fused Filament Fabricated 316L Stainless Steel AC Igwe, RM Mahamood, F Mwema, M Birkett, ET Akinlabi ASME International Mechanical Engineering Congress and Exposition 89404 … , 2025 2025 Citations: 1
Introduction to Solid-State Additive Manufacturing PO Omoniyi, TC Jen, RM Mahamood Metal Additive Manufacturing: Methods, Materials and Applications, 209-218 , 2025 2025
Hybrid friction stir welding: The Role of ultrasonic vibration and tool rotation in enhancing the joint properties NE El-Zathry, RM Mahamood, S Akinlabi, WL Woo, V Patel The International Conference on Applied Mechanics and Mechanical Engineering … , 2025 2025 Citations: 2
Optimization of rice straw properties via torrefaction for solid fuel applications SE Ibitoye, C Loha, RM Mahamood, OA Olayemi, M Alam, TC Jen, ... Bioenergy research 18 (1), 95 , 2025 2025 Citations: 5
Energy potential of biochar from slow pyrolysis of mixed tree leaves in a pilot-scale fixed-bed reactor SE Ibitoye, M Alam, OA Olayemi, ET Akinlabi, I Sarkar, RM Mahamood, ... International journal of renewable energy development 14 (5), 992-1006 , 2025 2025
Enhancing friction stir-based techniques with machine learning: a comprehensive review NE El-Zathry, S Akinlabi, WL Woo, V Patel, RM Mahamood, I Sabry Machine Learning: Science and Technology 6 (2), 021001 , 2025 2025 Citations: 18
Design and construction of low-cost biomass pyrolysis reactor for research and teaching in universities and colleges SE Ibitoye, RM Mahamood, OA Olayemi, TC Jen, PO Omoniyi, C Loha, ... Biomass Conversion and Biorefinery 15 (12), 18887-18903 , 2025 2025 Citations: 7
Structural simulation of Ti–Ha–CaCO 3 biocomposites using finite element analysis (FEA) for biomechanical stability of hip implant HK Ibrahim, MS Abolarin, AS Abdulrahman, PO Omoniyi, RM Mahamood, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (6 … , 2025 2025 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Functionally Graded Materials R Mahamood, E Akinlabi Metallurgy and Materials Engineering. Springer International Publishing, Cham , 2017 2017 Citations: 1094
Laser metal deposition of functionally graded Ti6Al4V/TiC RM Mahamood, ET Akinlabi Materials & Design 84, 402-410 , 2015 2015 Citations: 351
Scanning velocity influence on microstructure, microhardness and wear resistance performance of laser deposited Ti6Al4V/TiC composite RM Mahamood, ET Akinlabi, M Shukla, S Pityana Materials & design 50, 656-666 , 2013 2013 Citations: 310
An overview of biomass solid fuels: Biomass sources, processing methods, and morphological and microstructural properties SE Ibitoye, RM Mahamood, TC Jen, C Loha, ET Akinlabi Journal of Bioresources and Bioproducts 8 (4), 333-360 , 2023 2023 Citations: 198
Laser metal deposition process of metals, alloys, and composite materials RM Mahamood Springer , 2017 2017 Citations: 158
Densification of agro-residues for sustainable energy generation: an overview SE Ibitoye, TC Jen, RM Mahamood, ET Akinlabi Bioresources and bioprocessing 8 (1), 75 , 2021 2021 Citations: 126
Revolutionary additive manufacturing: An overview RM Mahamood, ET Akinlabi, M Shukla, S Pityana Lasers in Engineering , 2014 2014 Citations: 120
Effect of laser power and powder flow rate on the wear resistance behaviour of laser metal deposited TiC/Ti6Al4 V composites RM Mahamood, ET Akinlabi Materials Today: Proceedings 2 (4-5), 2679-2686 , 2015 2015 Citations: 106
Powder bed based laser additive manufacturing process of stainless steel: A review A Adeyemi, ET Akinlabi, RM Mahamood Materials Today: Proceedings 5 (9), 18510-18517 , 2018 2018 Citations: 100
An overview of biochar production techniques and application in iron and steel industries SE Ibitoye, C Loha, RM Mahamood, TC Jen, M Alam, I Sarkar, P Das, ... Bioresources and bioprocessing 11 (1), 65 , 2024 2024 Citations: 84
Laser metal deposition of Ti6Al4V: a study on the effect of laser power on microstructure and microhardness RM Mahamood, ET Akinlabi, M Shukla, S Pityana 2013 Citations: 83
Solid-state welding: friction and friction stir welding processes ET Akinlabi, RM Mahamood Springer , 2020 2020 Citations: 77
Additive manufacturing: the future of manufacturing A Adekanye, RM Mahamood, ET Akinlabi, MG Owolabi 2017 Citations: 69
Processing parameters influence on wear resistance behaviour of friction stir processed Al‐TiC composites ET Akinlabi, RM Mahamood, SA Akinlabi, E Ogunmuyiwa Advances in Materials Science and Engineering 2014 (1), 724590 , 2014 2014 Citations: 68
Scanning speed and powder flow rate influence on the properties of laser metal deposition of titanium alloy RM Mahamood, ET Akinlabi The International Journal of Advanced Manufacturing Technology 91 (5), 2419-2426 , 2017 2017 Citations: 65
Effect of Laser Power on Surface Finish during Laser Metal Deposition Process RM Mahamood, ET Akinlabi Proceedings of the World Congress on Engineering and Computer Science 2 , 2014 2014 Citations: 64
Advances in 3D printing materials processing-environmental impacts and alleviation measures J Nyika, FM Mwema, RM Mahamood, ET Akinlabi, TC Jen Advances in Materials and Processing Technologies 8 (sup3), 1275-1285 , 2022 2022 Citations: 62
Processing parameters optimization for material deposition efficiency in laser metal deposited titanium alloy RM Mahamood, ET Akinlabi Lasers in Manufacturing and Materials Processing 3 (1), 9-21 , 2016 2016 Citations: 61
Friction stir-based techniques: an overview NE El-Zathry, S Akinlabi, WL Woo, V Patel, RM Mahamood Welding in the World 69 (2), 327-361 , 2025 2025 Citations: 58
Characterizing the effect of laser power density on microstructure, microhardness, and surface finish of laser deposited titanium alloy RM Mahamood, ET Akinlabi, M Shukla, S Pityana Journal of Manufacturing Science and Engineering 135 (6), 064502 , 2013 2013 Citations: 58