NUST Institutions Library Catalogue Search for 'an:"109151"'

Cognitive Healthcare using Technology Integration/

By Talha, Muhammad. . 75 p. ; 30 cm..

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Thermo-Mechanical Analysis of High-Strength High-Temperature Glass Fiber Reinforced 3D Printed Composites /

By Talha, Muhammad . . 59p. , 3D printing has revolutionized the way products are designed and manufactured. Composite materials are considered the materials of the future because of their excellent material and mechanical properties and excellent strength-to-weight ratio. Composite 3D printing combines the best of both worlds. 3D-printed composite parts have excellent Mechanical and Material properties and design freedom at the same time. On the contrary, composite 3D printing is fairly a new technology and it is still under development. Research is being carried out; new materials are being developed to take the full potential of composite 3D printing. As we know Composite Materials are a replacement for our traditional metals, as they provide the same if not better performance and are lightweight at the same time. A research gap still exists, considering the performance of 3Dprinted composite parts at elevated temperatures. This research focuses on Thermo-Mechanical Analysis of High-Strength High-Temperature glass-fiber reinforced 3D printing composites. Markforged Onyx served as the polymer matrix base and High-Strength HighTemperature Fiberglass was used as the fiber reinforcement for our composite design. This research explores the influence of High-Strength High-Temperature fiberglass (HSHT FG) volume fraction (Vf) and the temperature on the performance of composite test specimens, The 3-point bending test is carried out following ASTM D-790 standard at 40℃, 60℃, and 80℃. Ansys Composite PrepPost is used to model the composite laminates and Ansys Workbench is used for simulations. Both the experimental and simulation results indicate an increase in Flexural Strength and stiffness with the increase in HSHT FG volume fraction and a decrease in both with the increase in temperature. The results also indicate that the increase in HSHT Fiberglass volume fraction in 3D-printed composite specimens induces plastic behavior. Composite parts become less elastic and more elastic with the increase in HSHT FG volume fraction. 30cm.

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Experimental Investigation of Active Flapping for Energy Harvesting: A Comparative Analysis between Circular and C-type Cylinders /

By Talha, Muhammad . . 68p. , The demand for renewable energy resources is increasing day by day. The most efficient sources of energy include hydroelectricity and nuclear power plants. The focus is to develop a sustainable system with minimum cost investment. This study evaluates the generation of electricity through active flapping of the piezoelectric flag that generates electricity through turbulence in the moving fluid. This research compares electricity generation when a circular/solid and C-shaped cylinder is placed at 90 degrees to the moving fluid. The study experiments with different gap widths and velocities of the moving fluid to find the ideal setup. The gap width between the cylinders and the flapping flag varies between 2.0D ≤ Dx ≤ 4.0D. Also, the moving fluid velocity varies from 0.136m/s ≤ v ≤ 0.3m/s. The experiment shows that a C-type cylinder gives more power than a circular cylinder. The study strengthens the development of renewable energy applications by offering comprehensive details on the best configuration for piezoelectric-based energy harvesters in fluid flow parameters. 30cm.

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Thermo-Economic Evaluation of an Organic Rankine Cycle powered Vapor Compression chiller for cooling air conditioning of SMME. /

By Talha, Muhammad . . 97P. , The worldwide need for energy as well as environmental challenges have promoted the creation of sustainable power solutions. Various working fluid combinations are utilized for an Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) to deliver cooling applications. The selection of an appropriate working fluid significantly impacts system performance, efficiency, and environmental impact. In this study we evaluates possible working fluids to optimize the ORC-VCC system. Firstly, the Artificial Neural Network (ANN) derived models for exergy destruction (𝐸𝑑𝑡𝑜𝑡), and the heat exchanger total heat transfer capacity (𝑈𝐴𝑡𝑜𝑡). Later on, the multi-objective optimization was conducted using the acquired models for 𝐸𝑑𝑡𝑜𝑡 and 𝑈𝐴𝑡𝑜𝑡 using the Genetic Algorithm (GA) followed by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).The optimization result showcase Decane ORC- R600a VCC as the optimal choice for ORC-VCC system, resulting in values of 𝐸𝑑𝑡𝑜𝑡 and 𝑈𝐴𝑡𝑜𝑡 resulting in value of 24.50 kW and 6.71 kW/K, respectively. From the extended analysis and optimization, the cooling capacity was found to be 41.8 kW. Meanwhile, the total cost per unit was estimated to be approximately $78710 and the payback period is 9.7 years. The research data shows how viable it is to implement biogas-driven ORC-VCC systems when providing air conditioning capabilities. 30CM.

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