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Conference Presentations by Md Shafikul Islam

Research paper thumbnail of Optimization of Thermoelectric Cooler-Based Atmospheric Water Generation: Insights from Indoor Experiments

Proceedings of the IISE Annual Conference & Expo 2025 , 2025

Atmospheric Water Generation (AWG) is a sustainable method for extracting moisture from the air t... more Atmospheric Water Generation (AWG) is a sustainable method for extracting moisture from the air to produce potable water. This study evaluates the performance of a thermoelectric cooler (TEC) for AWG under controlled laboratory conditions. Experiments were conducted across a voltage range of 3V to 14V, with a 12V DC fan incorporated to enhance heat dissipation on the hot side. Water collection rates were assessed at intervals of 15 minutes, 30 minutes, 1 hour, and 2 hours. Results identified 9V as the optimal voltage for 1-hour operation and 10V for 2-hour operation, yielding the highest water collection efficiency. Voltages above 11V reduced performance due to excessive heat transfer from the hot side, limiting condensation. Additionally, periodic cleaning of the cold surface had minimal effect on water yield, while using a funnel minimized evaporation losses. These findings highlight the potential of TEC-based AWG systems for sustainable water harvesting and emphasize the importance of optimizing operational parameters for improved efficiency.

Research paper thumbnail of Machine Learning-Based Optimization of Surface Temperature in TPMS Geometries for Atmospheric Water Generation Systems

Proceedings of the IISE Annual Conference & Expo 2025, 2025

Atmospheric Water Generation (AWG) systems provide a sustainable solution to global water scarcit... more Atmospheric Water Generation (AWG) systems provide a sustainable solution to global water scarcity by extracting moisture from the air. The goal of this study is to improve the performance of AWG systems by using machine learning to investigate a triply periodic minimal surface (TPMS) geometry, namely Schwarz. TPMS geometries are designed with high surface-area-to-volume ratios to condensation rates, as the top surface temperature plays a crucial role in driving water generation through condensation from atmospheric moisture. Data for this analysis is generated through structural and thermal simulations using nTop software. The top surface temperature is selected as the target variable, while surface parameters such as lattice thickness, cell size, cell density, surface area, surface area-to-volume ratio, and solid volume are used as input factors. Machine learning models, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Tree, are employed due to the continuous nature of the data. Model performance is evaluated using metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). Among the models, the Decision Tree showed superior performance, outperforming SVM and KNN. For the Schwarz structure, both linear and non-linear relationships were observed between certain input parameters and the target variable. This study provides valuable insights into optimizing AWG performance and establishes a foundation for future work to enhance the efficiency of these geometries.

Research paper thumbnail of Design and Simulation Study of H Type Darrieus Vertical Axis Wind Turbine (VAWT) Using Fixed Flap Technique

International Conference on Mechanical, Industrial and Materials Engineering 2022 (ICMIME2022), 2022

To design a vertical axis wind turbine (VAWT) that will be operational in a comparatively low win... more To design a vertical axis wind turbine (VAWT) that will be operational in a comparatively low wind speed range, including a high coefficient of power and coefficient of thrust is the prime objective of this research work. In addition, the size of the tower is wanted to be optimized as much as possible, resulting in a smaller operational space with no yaw mechanism and less vibration. The ideal maximum efficiency, called the Betz limit, of the turbine is 59.4%. Here, a designed turbine is simulated to approach the limit. The airfoil blade profile NACA 5312 is selected, and a fixed flap at 80% of the chord length is introduced. The simulation result has been found to have an incremental value for the respective coefficient. The coefficient of lift Cl value has been doubled by the flap inclusion technique, resulting in a 35% reduction in the coefficient of drag Cd. The simulation of the blade coefficient of lift and drag is done by ANSYS Fluent, and the turbine simulation is done by Qblade DMST. The optimum design parameters are extracted and interpreted in different low wind speed conditions.

Papers by Md Shafikul Islam

Research paper thumbnail of 4D printing technology, modern era: A short review

International Journal of Energy Technology, 2020

The advancement in 3D printing has led to the rapid growth of 4D printing technology. Adding time... more The advancement in 3D printing has led to the rapid growth of 4D printing technology. Adding time, as the fourth dimension, this technology ushered the potential of a massive evolution in fields of biomedical technologies, space applications, deployable structures, manufacturing industries, and so forth. This technology performs ingenious design, using smart materials to create advanced forms of the 3-D printed specimen. Improvements in Computer-aided design, additive manufacturing process, and material science engineering have ultimately favored the growth of 4-D printing innovation and revealed an effective method to gather complex 3-D structures. Contrast to all these developments, novel material is still a challenging sector. However, this short review illustrates the basic of 4D printing, summarizes the stimuli responsive materials properties, which have prominent role in the field of 4D technology. In addition, the practical applications are depicted and the potential prospect of this technology is put forward.

Research paper thumbnail of Optimization of Thermoelectric Cooler-Based Atmospheric Water Generation: Insights from Indoor Experiments

Proceedings of the IISE Annual Conference & Expo 2025 , 2025

Atmospheric Water Generation (AWG) is a sustainable method for extracting moisture from the air t... more Atmospheric Water Generation (AWG) is a sustainable method for extracting moisture from the air to produce potable water. This study evaluates the performance of a thermoelectric cooler (TEC) for AWG under controlled laboratory conditions. Experiments were conducted across a voltage range of 3V to 14V, with a 12V DC fan incorporated to enhance heat dissipation on the hot side. Water collection rates were assessed at intervals of 15 minutes, 30 minutes, 1 hour, and 2 hours. Results identified 9V as the optimal voltage for 1-hour operation and 10V for 2-hour operation, yielding the highest water collection efficiency. Voltages above 11V reduced performance due to excessive heat transfer from the hot side, limiting condensation. Additionally, periodic cleaning of the cold surface had minimal effect on water yield, while using a funnel minimized evaporation losses. These findings highlight the potential of TEC-based AWG systems for sustainable water harvesting and emphasize the importance of optimizing operational parameters for improved efficiency.

Research paper thumbnail of Machine Learning-Based Optimization of Surface Temperature in TPMS Geometries for Atmospheric Water Generation Systems

Proceedings of the IISE Annual Conference & Expo 2025, 2025

Atmospheric Water Generation (AWG) systems provide a sustainable solution to global water scarcit... more Atmospheric Water Generation (AWG) systems provide a sustainable solution to global water scarcity by extracting moisture from the air. The goal of this study is to improve the performance of AWG systems by using machine learning to investigate a triply periodic minimal surface (TPMS) geometry, namely Schwarz. TPMS geometries are designed with high surface-area-to-volume ratios to condensation rates, as the top surface temperature plays a crucial role in driving water generation through condensation from atmospheric moisture. Data for this analysis is generated through structural and thermal simulations using nTop software. The top surface temperature is selected as the target variable, while surface parameters such as lattice thickness, cell size, cell density, surface area, surface area-to-volume ratio, and solid volume are used as input factors. Machine learning models, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Tree, are employed due to the continuous nature of the data. Model performance is evaluated using metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). Among the models, the Decision Tree showed superior performance, outperforming SVM and KNN. For the Schwarz structure, both linear and non-linear relationships were observed between certain input parameters and the target variable. This study provides valuable insights into optimizing AWG performance and establishes a foundation for future work to enhance the efficiency of these geometries.

Research paper thumbnail of Design and Simulation Study of H Type Darrieus Vertical Axis Wind Turbine (VAWT) Using Fixed Flap Technique

International Conference on Mechanical, Industrial and Materials Engineering 2022 (ICMIME2022), 2022

To design a vertical axis wind turbine (VAWT) that will be operational in a comparatively low win... more To design a vertical axis wind turbine (VAWT) that will be operational in a comparatively low wind speed range, including a high coefficient of power and coefficient of thrust is the prime objective of this research work. In addition, the size of the tower is wanted to be optimized as much as possible, resulting in a smaller operational space with no yaw mechanism and less vibration. The ideal maximum efficiency, called the Betz limit, of the turbine is 59.4%. Here, a designed turbine is simulated to approach the limit. The airfoil blade profile NACA 5312 is selected, and a fixed flap at 80% of the chord length is introduced. The simulation result has been found to have an incremental value for the respective coefficient. The coefficient of lift Cl value has been doubled by the flap inclusion technique, resulting in a 35% reduction in the coefficient of drag Cd. The simulation of the blade coefficient of lift and drag is done by ANSYS Fluent, and the turbine simulation is done by Qblade DMST. The optimum design parameters are extracted and interpreted in different low wind speed conditions.

Research paper thumbnail of 4D printing technology, modern era: A short review

International Journal of Energy Technology, 2020

The advancement in 3D printing has led to the rapid growth of 4D printing technology. Adding time... more The advancement in 3D printing has led to the rapid growth of 4D printing technology. Adding time, as the fourth dimension, this technology ushered the potential of a massive evolution in fields of biomedical technologies, space applications, deployable structures, manufacturing industries, and so forth. This technology performs ingenious design, using smart materials to create advanced forms of the 3-D printed specimen. Improvements in Computer-aided design, additive manufacturing process, and material science engineering have ultimately favored the growth of 4-D printing innovation and revealed an effective method to gather complex 3-D structures. Contrast to all these developments, novel material is still a challenging sector. However, this short review illustrates the basic of 4D printing, summarizes the stimuli responsive materials properties, which have prominent role in the field of 4D technology. In addition, the practical applications are depicted and the potential prospect of this technology is put forward.