Engineering Technology Department Theses and Dissertations

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https://hdl.handle.net/1805/26267
Information about the Purdue School of Engineering and Technology Graduate Degree Programs available at IUPUI can be found at: http://www.engr.iupui.edu/academics.shtml

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Browsing Engineering Technology Department Theses and Dissertations by Author "Agarwal, Mangilal"

Now showing 1 - 4 of 4
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    Cellulose Nano Fibers Infused Polylactic Acid Using the Process of Twin Screw Melt Extrusion for 3d Printing Applications
    (2023-05) Bhaganagar, Siddharth; Dalir, Hamid; Agarwal, Mangilal; Zhang, Jing
    In this thesis, cellulose nanofiber (CNF) reinforced polylactic acid (PLA) filaments were produced for 3D printing applications using melt extrusion. The use of CNF reinforcement has the potential to improve the mechanical properties of PLA, making it a more suitable material for various 3D printing applications. To produce the nanocomposites, a master batch with a high concentration of CNFs was premixed with PLA, and then diluted to final concentrations of 1, 3, and 5 wt% during the extrusion process. The dilution was carried out to assess the effects of varying CNF concentrations on the morphology and mechanical properties of the composites. The results showed that the addition of 3 wt.% CNF significantly enhanced the mechanical properties of the PLA composites. Specifically, the tensile strength increased by 77.7%, the compressive strength increased by 62.7%, and the flexural strength increased by 60.2%. These findings demonstrate that the melt extrusion of CNF reinforced PLA filaments is a viable approach for producing nanocomposites with improved mechanical properties for 3D printing applications. In conclusion, the study highlights the potential of CNF reinforcement in improving the mechanical properties of PLA for 3D printing applications. The results can provide valuable information for researchers and industries in the field of 3D printing and materials science, as well as support the development of more advanced and sustainable 3D printing materials.
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    Design, Analysis and Implementation of the Power Train of an Electric Race Car
    (2024-05) Bhargava, Ayush; Dalir, Hamid; Tovar, Andres; Agarwal, Mangilal
    The automotive industry has witnessed a significant transformation in recent years, largely driven by the emergence of electric powertrains. These systems offer a cleaner and more efficient alternative to traditional internal combustion engines, marking a pivotal shift towards sustainability in the transportation sector. At the heart of electric vehicles (EVs) lies the powertrain, a complex assembly of components tasked with converting electrical energy into mechanical power to propel the vehicle. In the context of electric race cars, the design and optimization of the powertrain are of utmost importance to achieve high performance on the track. The powertrain typically consists of four major components: the motor, inverter, battery, and gearbox. Each of these components plays a critical role in ensuring the efficient conversion and utilization of electrical energy to drive the vehicle forward. The process of designing an electric race car powertrain begins with a thorough understanding and explanation of each component's function and contribution to overall performance. This foundational understanding serves as the basis for subsequent analysis and optimization efforts. Central to the design process is the selection and configuration of the motor and battery, two key components that heavily influence the vehicle's performance characteristics. To facilitate this decision-making process, engineers leverage specialized software tools such as OptimumLap, MATLAB, and Simulink. OptimumLap allows engineers to input relevant parameters of the race car, such as its drag coefficient and frontal area, to gain insights into its aerodynamic performance. By conducting simulations on specific race tracks, such as the Adelaide circuit, engineers can generate valuable data representing the vehicle's performance in terms of lap times and speed. MATLAB's Grabit tool is then utilized to extract velocity data from the simulation results, providing crucial input for further analysis. This data is used to create a comprehensive table of values representing the vehicle's velocity profile under different conditions. Finally, engineers develop a Simulink model to simulate the operation of the electric powertrain under various scenarios. This model allows for the extraction of critical performance metrics and parameters, enabling engineers to optimize the motor and battery configuration to meet the specific requirements and constraints of the race car.
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    Rectilinear Performance Model For An Electric Indycar
    (2024-05) Singh, Hemant Brijpal; Dalir, Hamid; Tovar, Andres; Agarwal, Mangilal
    This motorsport thesis explores the complete electrification of an IndyCar by simulations. Initial research was conducted on stock IndyCar specifications, and concurrently, a sequential approach was developed for MATLAB-based simulations to generate comprehensive results. The study aims to integrate extensive insights gained from courses such as Vehicle Dynamics, Aerodynamics, Data Acquisition, and Electric Powertrains, alongside practical experience from racing internships. The goal is to comprehend the impact of this conversion on engineering parameters. The analysis specifically emphasizes the engineering aspects, with a particular focus on the longitudinal dynamics of the vehicle through quarter-mile simulations.
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    Vibrating Plate Design: Exploring Dynamic Requirements
    (2024-05) Ahire, Meehir Mohan; Dalir, Hamid; Agarwal, Mangilal; Tover, Andres
    This study encompasses the design and dynamic analysis of a previously used compact, portable vibrating plate machine. Utilizing Siemens NX 2021 for the precise modeling of the machine's components, the design prioritized simplicity and functionality, resulting in a 450 mm x 450 mm aluminum alloy structure, suitable for a wide range of research applications. A detailed modal analysis, conducted to ascertain the system's natural frequencies, revealed six predominant modes, ensuring operational frequencies of 110 Hz to 130 Hz were strategically avoided to mitigate resonance risks. Complementing this, harmonic response analysis evaluated the system's behavior under an applied cyclic load, confirming the suitability of the chosen actuator, model VL181206-160H, which provides optimal vibrational force without overstressing the machine. The findings affirm the machine's capability to perform efficiently within the target frequency range, with the design and selected actuator offering a robust solution for consistent and safe vibrational analysis, essential for field and laboratory applications.