Mechanical Engineering Posters and Presentations

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  Low-Temperature Laboratory Instrumentation for Investigating Ice Crystal Aggregate Formation in the Atmosphere

  Victor Ojo, Imteaz Osmani, and Hallie Boyer Chelmo

  This study addresses the challenge of achieving controlled low temperatures to investigate and provide information on the precise conditions that promote homogenous (≤-38oC) and heterogenous (≥ -38oC) atmospheric ice crystal formation and aggregation, which disrupt aerospace industries and military activity. I present a preliminary design of a novel temperature control setup for generating levitated ice crystal aggregates within a Dual Balance Electrodynamic Trap (DBET). This preliminary design is called the replica low temperature electrodynamic balance (R-LTDBET). The design integrates chilled-coolant-conveying copper tubes encircling the hollow-square-shaped DBET’s external wall to precisely control its inner chamber temperature while incorporating real-time temperature sensing, control, and data analysis as the levitated microdroplets are frozen and aggregated within the R-LTDBET. Currently capable of cooling the R-LTDBET’s inner chamber to -9.0oC, this setup will be impl emented on the actual LT-DBET design for further testing and to generate experimental data that can provide valuable insight to aerospace engineers and atmospheric scientists designing hypersonic vehicles and developing precise cloud models which are poorly constrained in global atmospheric models. Future works aim to achieve lower temperatures, which enhances experimental insights into ice crystal structure and sticking potential.

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  Experimental Investigation of Levitated Microdroplets for Understanding Chain Crystal Aggregates Observed in Atmospheric Clouds

  Imteaz Osmani, Victor Ojo, and Hallie Boyer Chelmo

  This study talks about atmospheric ice crystal aggregation in the atmosphere and the process of generating ice crystal aggregate in a research lab using a dual-balance electrodynamic trap.

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  Thoughts of Chat GPT about Interaction Between Hypersonic Vehicles and Ice Crystal

  Imteaz Osmani

  This poster demonstrates the knowledge of ChatGPT regarding a contemporary research topic. The artificial intelligence was asked a set of questionnaires to narrow down a contemporary research idea. This poster also answers the question whether artificial intelligence can be used for developing a research idea or not. Lastly, this poster won the 3rd prize in the CHAT GPT poster contest category in CARS 2023 event.

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  Investigating Liquid Droplets and Ice Crystals in the Atmosphere and Their Potential Damage to Hypersonic Vehicles

  Imteaz Osmani and Hallie Boyer Chelmo

  Ice crystal aggregates found in stratospheric clouds are detrimental to hypersonic flights. This poster demonstrates a method for generating ice crystals in the lab without physical touch using electrodynamic balance and shares a plan in upcoming years for investigating ice crystal interaction with shock waves.

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  OpenFOAM Dakota interface

  Anjali Sandip

  Traditionally, multi-physics/phase simulation software programs lack tools for uncertainty quantification and optimization. More recently, there is a growing body of research that has integrated these tools into multi-physics/phase simulation software programs [1-4]. Building on this methodology, the study integrated open-source software programs, OpenFOAM [5] for multi-physics/phase simulations and DAKOTA [6] for optimization and uncertainty quantification. Furthermore, the coupled software was successfully applied to benchmarks. The overarching goal was to develop an open-source framework for multi-physics/phase simulations, optimization and uncertainty quantification. The applications of this open-source framework span several industries ranging from aerospace and energy to healthcare and manufacturing.

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  Influence of stress triaxiality on fracture ductility for stereo lithography

  Anjali Sandip and Ravi Kiran Yellavajjala

  Stress triaxiality is one of the most important factors that controls fracture ductility. The objective of this study was to investigate the influence of stress triaxiality on fracture ductility for specimens’ printed using stereolithography (SL). Dog bone shape specimens were printed using Formlabs® Form 2 Desktop SLA 3D printer. The specimens were built layer by layer with the help of this 3D printer. Each layer of liquid photopolymer is solidified through a computer-controlled ultraviolet (UV) light source with a laser spot size of 140 𝜇m. A photopolymer resin supplied by the manufacturer which comprised of a proprietary mix of Methacrylated oligomers, Methacrylated monomer, photo initiators and trace amount of pigments and additives was used for printing the specimens. The length of the specimens was 92.06 mm and the width of the specimens in the gage length portion was 6 mm. Uniaxial tensile tests were conducted on 3D printed specimens. Numerical simulations of the uniaxial tensile tests were performed using the commercial finite element code, ABAQUS. Material properties of 3D printed specimens were calibrated using Abaqus/Isight. The stress triaxiality distribution in the critical cross section at a displacement corresponding to fracture displacement was evaluated. The maximum and average stress triaxialities at the critical cross section was recorded. Triaxiality versus equivalent strain to fracture was plotted for the tested specimens. The results indicate a strong dependence of fracture ductility on stress triaxiality for the 3D printed specimens investigated in this study.