Author: Matt Collinge

The 2023 MDSGC Student Research Symposium was held on Monday, July 31, beginning at 8 a.m. EDT. The venue was the Mt. Washington Conference Center in Baltimore, MD. For GPS navigation, aim for “Johns Hopkins At Mt. Washington, Smith Avenue, Baltimore, MD” (link) and park in the nearby visitor parking lot/garage. Here is an image from Google showing the relative locations of parking and the conference venue:

This year’s symposium showcased presentations by student interns and researchers working at sites across Maryland. The cohort of presenters represent diverse institutions, including: Capitol Technology University, Hagerstown Community College, Johns Hopkins University, Morgan State University, NASA, Towson University, University of Maryland Baltimore County, University of Maryland College Park, and University of Maryland Eastern Shore. We congratulate our students on a successful summer and look forward to seeing more of their work in the future!

The program follows.

2023 MDSGC Student Research Symposium Program

Session 1, 9:00 – 10:50 a.m.

The focus of this project lies on developing a satellite simulation to train spaceflight operation students attending Capitol Tech University, closely emulating real-life scenarios. The simulation replicates a segment of satellite EO-1, where solar array wings are controlled by the SA Drive and SA Deployment. Operating as an interconnected network, the system comprises multiple languages in Galaxy. Initiating one command sets off a cascade of interrelated procedures, utilizing database mnemonics to establish a continuous information exchange loop that is systematically updated on the display page. Throughout orbital cycles, testing involves tackling challenges related to debugging and error configuration. The simulation’s success grants invaluable hands-on experience in satellite operations, significantly advancing our comprehension of solar array behavior and energy management in space.

Mobile robotics is used in a variety of applications in our present age. NASA uses mobile robots for space science and earth science related observations and data collection. I worked on using two mobile robotic platforms during my summer internship at University of Maryland Eastern Shore (UMES), Sphero RVR and Sphero BOLT, and learned to program them using Scratch and Python to follow predefined trajectories while collecting data from sensors that are integrated with the robots. I also installed a soft gripper which was activated using an Arduino Nano-based Programmable Air module on the RVR. Effective communication was established between the RVR and the Programmable Air module to carry out simple pick and place operations.  I also programmed the BOLT to follow the Sphero RVR as it moved on a circular trajectory using a infrared red signal. 

During the internship at the US Naval Academy, while participating as a teaching assistant in the “SHYP” (Summer Heroes Youth program) and “Set Sail” programs, the concepts learned from creating a sea perch for marine engine propulsion, with the inspiration of the amphibious helicopter and the sea plane were applied. The project consists of two parts: a device for floating, and a part for flying. The two small prototypes were made with playful materials that could be found at home and/or bought online. For the circuitry, the Arduino Uno was connected to the servo motors, which were programmed using Python, and rotate the propellers for thrust. The sea perch kit used to build the floating device has three motors, a preprogrammed controller, a 12-volt battery, a tether for connecting the controller to the motors, and a charger. Overall, even though the teaching programs kept me busy, I had a fun time experimenting with simple materials and getting hands-on experience with propellers and motors.

“Get a summer job”, his parents told him. This left me looking for a wide variety of ways to spend my summer. Little did I know this wouldn’t be a summer to forget. Not long after searching for a job to occupy my time, I found two amazing programs offered by the Maryland Space Grant Consortium. This was my golden ticket to an eventful summer that had a deeper meaning to me and my career goals. This led me to be working in two separate summer programs, I had the opportunity to introduce middle schoolers to STEM projects and create a data retrieving unit for a sounding rocket payload.

During my time at Morgan State University I worked on assembling the avionics system and testing various components like my thermocouples, pressure transducer, and pi-camera. I tested the thermocouples by using hot and cold water and I also tested my pressure transducers by pushing air through it using a compressor. I used python to give me readings from the different tests I ran on each component.

Miniature robots apparently still have their uses even in this day and age. These days whenever you think of an autonomous robotic helper we expect them to be somewhat large in size and capable of doing a lot of tasks simultaneously. Though like every great innovation starting in the minor leagues can lead a major impact. Kilobots for example are one of those miniature robots. They have their limits but the experience of experimentation can lead to grand developments.

The project with the Roman Space Telescope’s Deployable Aperture Cover focused on bonded tabs to a non flight collar boom using Non Destructive Inspection.

Analyses of XRD spectra are standard in materials characterization and help resolve structural and phase information. We aim to create a workflow that models XRD spectra in the open-source aflow++ framework and generate a publicly accessible bank of XRD data to enable rapid identification of material compounds.

A passive brain-computer interface (BCI) is a system which collects brain dynamics to assess the mental workload of an individual while they are performing a task. Such systems can be used to support human health, safety, and cognitive-motor performance while conducting long-term space habitation in future Artemis missions. However, passive BCI requires an accurate method for the classification of mental workload using a short duration segment of brain activity. Therefore, we seek to develop a computational model for the offline classification of three different states of workload. An electroencephalography (EEG) device is used to assess the mental workload of participants completing a complex action sequence to solve a puzzle with a teammate. The collected EEG data was preprocessed and segmented into 10-second components. Features were extracted by transforming the EEG signal into a complex network by means of the visibility graph (VG) algorithm. Then, the VGs of multiple EEG channels were assembled into a multiplex temporal network (MTN). The structural properties of the MTNs were measured and fed to six different supervised-learning classifiers. Additional features were also computed with the spectral power of six frequency ranges. Classification of mental workload was performed individually for each subject’s data. Results show that a support vector machine classifier achieved a 98% mean testing accuracy when tasked with the prediction of mental workload using 10 seconds of EEG data. All other classifiers studied achieved at least a 92% mean testing accuracy in classification. The results suggest that the computational model presented here has the potential to enable the use of pBCI technology in future Artemis missions.

• • • Baryonic Tully Fisher Relation for Galaxies with Supernova Distances — Shannon Markward, Aaron Torster (Towson)
    • ALPHA Observatory Campaign 7 Data Analysis — Meredith Embrey (UMCP/CTU)
    • Preliminary Trials With GoPiGo3 and LIMO Robots in Virtual and Physical Realm — Andrew Duck, Urjit Chakraborty, Lucas Marschoun (UMES)

Group Photos, 10:50-11:10 a.m.

Poster Session, 11:10 a.m. – 12:00 p.m.

Baryonic Tully Fisher Relation for Galaxies with Supernova Distances — Shannon Markward, Aaron Torster (Towson University)

The Baryonic Tully-Fisher Relation (BTFR) is an empirical correlation between the baryonic mass of a spiral galaxy and its rotational velocity. As the equation for baryonic mass is dependent on the luminosity of a galaxy, it is also true to state that it is an empirical correlation between distance and the mass of the galaxy. By using the BTFR, we avoid using so-called “standard candles,” such as Type Ia supernovae or Cepheid variable stars, which are limited to use in relatively nearby galaxies. The BTFR provides an alternate approach for measuring distance that is then applicable to a much larger sample. We present an update on the data collection and analysis pipeline for an ongoing project of the Undergraduate ALFALFA Team (UAT), for which the primary science objective is to generate a well-defined BTFR. We used the Green Bank Telescope (GBT) to observe and measure the HI 21-cm emission line profiles of 200 galaxies in our observing sample with accurately known distances from the Democratic Samples of Supernovae (Stahl et al. 2021). Here, we will focus on the observing sample and show: (1) progress to date on obtaining the HI 21-cm measurements; (2) preliminary outcomes of our newly developed analysis tools; and (3) statistical analysis of sample signal-to-noise, including non-detections. (Click image for full size.)

ALPHA Observatory Campaign 7 Data Analysis — Meredith Embrey (UMCP/CTU)

The ALPHA Observatory Campaign 7 analyzed 1 Terabyte of data from ALPHA’s first run not just focused on asteroids but also variable stars and exoplanets. The images of all objects are run through multiple scripts to determine the eligibility to be submitted. Asteroids are checked for quality and accuracy, while exoplanet and variable star data are also graphed into a light curve to determine the transit period. This is ALPHA’s first run observing exoplanets, and even observed a pending exoplanet. (Click image for full size.)

Preliminary Trials with GoPiGo3 and LIMO Robots in Virtual and Physical Realm — Andrew Duck (UMBC/UMES), Urjit Chakraborty (UMES), Lucas Marschoun (UMES)

This poster outlines the summer project work carried out by student volunteers and a UMES undergraduate related to the LIMO, GoPiGo3 and Moorebot Scout, mobile robotic platforms, in both online virtual environments and the real world.  The preliminary efforts were devoted to line following applications using PID controls on the GoPiGo3 and basic AI integration in coordination with the Moorebot Scout.  The project team also explored the use of Lidar technology and programming in python with both the GoPiGo3 and the LIMO robots. (Click image for full size.)

Lunch, 12:00 – 1:00 p.m.

Session 2, 1:00 – 2:00 p.m.

This summer at the University of Maryland Eastern Shore under the guidance of my mentors, I explored how agriculture and technology can be integrated to optimize the cultivation of food and collect data. Inspired by developments in research on the viability of different environments in space for growing food, we designed an experiment to test the viability of growing microgreens and kale on the surface of the moon using a simulant of lunar regolith, and we used sensors equipped to a Raspberry Pi microcontroller to measure data about the different treatments we set up. I also explored programming a 3-axis Cartesian robot (FarmBot) to seed, photograph, and irrigate on a raised bed of peanut plants using both manually written code and primitive AI coding capabilities introduced recently in the software. I also got exposed to working with an autonomous ground robot equipped with a Nitrogen-Phosphorus-Potassium (NPK) sensor that is under development in the UMES laboratory with a team of students. I assisted the graduate student in the lab on getting the NPK sensor calibrated properly and logging the data at respective waypoints of an autonomous mission map.

The Centrifugal Mirror Fusion Experiment (CMFX) aims to harness the potential of azimuthal rotation to enhance plasma confinement within a magnetic mirror. The rotation is imposed by applying a high voltage from a capacitor bank to a central electrode, creating a radial electric field that helps stabilize and heat the plasma. Understanding the interactions between the plasma, the capacitor bank, and other external circuit elements is challenging. This work simulates the created plasma as a capacitor in parallel with a resistor. However, the values of these elements were not immediately known. The entire electrical circuit was entered into the LTspice simulation software to find these values. The parameter values of the circuit elements were varied systematically until the simulated plasma current and voltage, measured in the experiment, were qualitatively and quantitatively similar. The results are being compared with theoretical predictions of plasma capacitance and resistance. They are an essential tool for the design of a scaled centrifugal mirror as a fusion energy reactor. Details of the circuit, simulations, and methodology are presented.  

This work is supported by ARPA-E Grant No. DE-AR0001270, and by NASA Grant No. 80NSSC20M0049 as part of the Maryland Space Grant Consortium program. 

Abstract TBA.

This project investigates how land use influences water quality in the urban environment—specifically, Herring Run.  I examined data for the watershed spanning 28 years, looking for patterns and change over time.  I based my analysis on water quality observations recorded by the U.S. Geological Survey and the Maryland Department of the Environment.  For context, I also included precipitation data from the National Oceanographic and Atmospheric Administration.  Following methods published by the U.S. Army Corps of Engineers, I analyzed satellite imagery in Q-GIS™, which I downloaded from the Multi-Resolution Land Characteristics Consortium.   To gain field experience, I collected water quality observations from multiple locations along Herring Run on two separate visits, using a HANNAH™ portable meter.  Finally, I drafted a report and created a presentation summarizing my research.   

The presentation will describe the process of nose design for the rocket, going over best nose cone shapes and a quick demonstration of early 2D CFD (computational fluid dynamics) software results on an early nose cone design. There will be a brief overview of my time at NASA RockOn. It will then go over the design and partial completion of the propulsion tanks for the rocket, with a final look of how a virtual reality headset was used to view the nearly final design in VR.

MDSGC offers our sincere congratulations to our student presenters, a huge thanks to our internship mentors, collaborators, and supporting staff, and our hope that all attendees enjoyed and learned from these presentations!

The 2022 MDSGC Student Research Symposium was held in person on Friday, July 29, beginning at 8 a.m. EDT. The venue was the Mt. Washington Conference Center in Baltimore, MD. For GPS navigation, aim for “Johns Hopkins At Mt. Washington, Smith Avenue, Baltimore, MD” (link) and park in the nearby visitor parking lot/garage. Here is an image from Google showing the relative locations of parking and the conference venue:

This year’s symposium showcased presentations by student interns and researchers working at sites across Maryland. The cohort of presenters represent diverse institutions, including: Capitol Technology University, Hagerstown Community College, Johns Hopkins University, Morgan State University, NASA, Towson University, University of Maryland Baltimore County, University of Maryland College Park, and University of Maryland Eastern Shore. We congratulate our students on a successful summer and look forward to seeing more of their work in the future!

The program follows.

2022 MDSGC Student Research Symposium Program

Session 1, 9:00 – 10:30 a.m.

The rocketry team at Morgan State University (MSU) is currently designing a single-stage liquid-propellant rocket (LPR) to achieve an apogee of 50,000 feet. Due to the complexity of an LPR, each component of the rocket will have specifications that must be followed to meet the desired apogee when launched. One critical component of the rocket is the avionics bay since it is responsible for collecting the necessary data, such as the apogee, temperature, pressure, velocity, and ensuing communications with the deployment sensors for easy recovery after launch. Hence, this paper focuses on the avionics bay design of MSU’s LPR and the integration of the DAQ Hat instrumentations. Furthermore, this task entails programming the selected Raspberry Pi 4B model to obtain the readings from the temperature and pressure sensors connected to MCC DAQ Hat devices and logging the data into multiple SD cards for redundancy. Lastly, when the correct code is uploaded and all the connections are correctly done, testing each component individually can proceed to ensure they are operating properly. A high-resolution camera will be connected to the Raspberry Pi flight computer to record the rocket flight, which can be installed into the system. All the subsystems will be integrated into the payload system. Overall, the team achieved both design and integration of the necessary components of the avionics bay of MSU’s LPR. 

Sea level rise and land subsidence have been widely recognized as major drivers of geomorphic and ecological change in the Chesapeake Bay area. The Relative Sea Level Rise (RSLR) in the Baltimore Inner Harbor is the combination of absolute sea level rise (ASLR) due to global warming, and land subsidence (LS) due to tectonic downward movement. In this study, two sets of data were analyzed: the NOAA tide gauge in Inner Harbor which has actively monitored the changes in sea level since 1902 for 118 years and the GPS station BACO, 10 miles north of the Inner Harbor tide gauge station, which has recorded land surface elevation change from 2008 to 2019. A piecewise trend of the RSLR is summarized based on the linear trend before 1992 in the twentieth century and the quadratic trend since 1992. The 11-year BACO GPS data indicate a land subsidence rate of 1.90 mm/yr in trend. We estimate a uniform ASLR of 1.1 mm/yr by removing LS rate of 1.90 mm/yr from a RSLR of 3.0 mm/yr during 1902-1992 and its acceleration of 0.1422 mm/yr^2 after 1992. Results suggest that Baltimore should implement more flood prevention plans specifically in Inner Harbor as it is in the coastal area and is heavily affected by the land subsidence issue.

This presentation highlights the experience at the United States Naval Academy. The goal was to create an experiment that would be recreated by K-16 participants as well as assist the STEM team in outreach. The experiment created focused on corrosion prevention. The outreach the STEM department performed included Summer Heroes Youth Program in June and STEM Educator Training in July.

The Centrifugal Mirror Fusion Experiment is a magnetized plasma experiment in a mirror configuration. Using MRI magnets and an ultra high vacuum (UHV) chamber, the experiment will confine high temperature plasma at fusion conditions to produce energy from fusion products. The ultimate goal of the experiment is enabling the commercial availability of compact thermonuclear fusion reactors. The team has designed the Gas Mixing System for the Centrifugal Mirror Fusion Experiment (CMFX) to control the concentration of the helium, hydrogen, and later in the project, deuterium mixture . The system shall deliver the mixture to the HPV chamber. Using a gas puff valve, a mixture with a number density up to n=10^ 19 m^ -3 will dispense into the HPV chamber in 1-1000th millisecond. The Gas Mixing System will operate weeks on end without having to resupply the system with gas as each puff would dispense 0.0002% of the occupying pressure in the system’s volume.

Throughout the internship during the summer of 2022 at the University of Maryland Eastern Shore(UMES), a variety of technologies related to automation and soft robotics were explored. Ongoing efforts reported in recent technical articles published by researchers at several universities and research laboratories were studied. Pick and place tasks using commercially available soft grippers attached to industrial robotic arms installed in the UMES robotics laboratory were implemented. Also, a Raspberry Pi-based small robotic device, popularly known as GoPiGo was programmed to perform simple line following application and pick and place operations using a novel soft gripper put together in the laboratory using 3D printed flexible filaments. Finally, trials were conducted using “ Programmable Air” an Arduino Nano microprocessor-based soft robot controller that can blow and suck the air out of inflatable elastomer shapes cured on 3-D printed molds with appropriately designed pneumatic channels. Soft components were molded using elastomers based on MIT’s Inflatibit soft robots, integrated with IRobot Create 2 ( the base platform for the Roomba vacuuming robot) platform and controlled using a Raspberry Pi and “Programmable Air”. Some refinements will be necessary before the task assigned for the set-up is properly completed. During the internship, opportunities were provided to participate in aerial imaging missions using a drone, programming a 3-axis Cartesian robot (FarmBot) to seed and irrigate on a raised bed and work with other robotic devices such as a robotic boat and ground robot that are under development in the UMES laboratory with a team of students.

Air pollution is a global health concern and has led to millions of premature deaths. In overpopulated cities, pollutants such as CO, NO2, O3, PM2.5, PM10, and SO2 have disastrous effects on human health and exacerbate respiratory illnesses. COVID-19-related lockdowns and restrictions have played a major role in air quality and human health. The cities observed in this study are Kolkata, Milan, Los Angeles, São Paulo, Shanghai, and Sydney. The biggest contributors to air pollution in Los Angeles and Sydney were natural wildfires that increased concentrations of PM2.5. In Kolkata trash burning, diesel engines, and coal combustion led PM2.5 and NO2 to increase during the winter months. Milan’s topography promoted PM2.5 concentrations by casting a thick and protective fog over the area during the winter months. The deforestation of the rainforests in Brazil promoted PM2.5 by causing droughts in São Paulo, which made the city very dusty and worsened the air quality. Shanghai is the most populated city in this study, and rapid socio-economic development, vehicle, and factory emissions, and also a heavy reliance on coal-powered heating lead to heightened Particulate Matter and Ozone levels. By analyzing the effects of the COVID-19 pandemics on air quality, the scope for environmental restoration is seen as people and governments learn what contributes to air quality, and how humans can manipulate it. The findings from this study, and other contemporary ones, could aid in efforts towards combating climate change and sustaining human life.

This project attempts to combine several behaviors seen in nature through animals that form large groups and potentially can show how patterns can develop in any large groups of creatures.  Utilizing efforts of past biologists and roboticists, the research conducted with the kilobots hopes to unlock as many secrets of the animal world as possible by studying the behavioral patterns formed in nature and understanding how to replicate and improve upon those processes.

• • • Space Junk: The Debris Strikes Back — Madelyn Pollack (UMBC/NASA)
    • Thermo-Acoustic Refrigeration — Sean Beahn (TU)
    • Mg II Emission from Low Mass Galaxies at Half the Age of the Universe: Implications for Reionization — Ying Qin (JHU)
    • Commissioning and Integration of the Asteroid Large aperture PHotometry exoplAnet transit (ALPHA) Observatory — Julianna Reese (UMCP/CTU)
    • Magnetic Perpetual Motion? — Daniel Roland (TU)
    • Gecko Inspired Dry Adhesive Tape — Khalil Bethea (MSU/UMES)
    • Thermodynamics Aboard the S.S. John W. Brown — Aaliyah St. Jules (TU)
    • Lunar Rover Wheel Testing — Evan Lewis (CTU/UMCP) & Ali Arnaout (UMBC/UMCP)

Group Photos, 10:30-10:45 a.m.

Poster Session, 10:45 a.m. – 12:00 p.m.

Space Junk: The Debris Strikes Back — Madelyn Pollack (UMBC/NASA)

Space junk, orbital debris, space trash. No matter what term is used to describe these man-made orbiting objects no longer capable of performing their assigned functions, they cause a constant danger to active missions in the near-Earth environment. This presentation will introduce the relationship between orbital debris events and public opinion of spaceflight in the U.S. (Click image for full size.)

Thermo-Acoustic Refrigeration — Sean Beahn & Jasmine Patel (TU)

We report on the design and construction of a thermos-acoustic tube, in which a standing wave creates higher pressures (and hence temperatures) at the nodes than at the center. A layered plastic “stack” enables sound waves to pass through easily, but impedes the flow of heat. Hence a temperature gradient develops along the stack. We present some preliminary results, and discuss how a more advanced version of this demonstration allows the James Webb telescope to reach the ultra-low temperatures necessary for astronomical observations deep in the infrared band. (Click image for full size.)

Mg II Emission from Low Mass Galaxies at Half the Age of the Universe: Implications for Reionization — Ying Qin (JHU)

Galaxies today are surrounded by ionized gas, whereas, more than 12 billion years ago, the Universe was filled with neutral gas. This transition from the neutral state to the ionized state is known as cosmic reionization and is believed to be caused by energetic photons which leaked from galaxies. However, galaxies come in a variety of masses, and it remains to be known the masses of the galaxies that reionize the Universe. In this project, we stack 30 galaxies below 10^9 Msun 8 billion years ago and measure the Mg II, O II, and O III emission fluxes from the stacked spectrum. We find the observed Mg II line flux is ~10% of the intrinsic flux predicted by models. This number can be used to calculate the contribution of low mass galaxies to reionization together with the known numbers of these galaxies during the epoch of cosmic reionization. (Click image for full size.)

Commissioning and Integration of the Asteroid Large aperture PHotometry exoplAnet transit (ALPHA) Observatory — Julianna Reese (UMCP/CTU)

The purpose of this project was to commission an observatory at Capitol Technology University (CTU) to track, identify, and perform orbit determinations on near-Earth objects (NEOs) such as asteroids and comets. Over the commissioning process, the observatory dome, cameras, and telescope were assembled and configured to move synchronously. The associated software was configured with them to automatically make observations according to designed plans, making the process of collecting data simpler and more accurate than if done manually. Additionally, observations could be monitored and control administered remotely via AnyDesk. Each component was calibrated to ensure proper tracking, alignment, guiding, and focus.

       Upon completion of commissioning activities, various observations were made, including 17 unique NEOs. The sensitivity of the system allows objects as faint as 17th magnitude to be detected. Each set of data was processed to account for noise and to identify and track the object(s) captured, then submitted in a report to the Minor Planet Center (MPC). After making several successful reports, the MPC awarded the ALPHA Observatory its own code, W58. (Click image for full size.)

Magnetic Perpetual Motion? — Daniel Roland & Aaliyah St. Jules (TU)

We investigate both theoretically and experimentally the possibility of a magnetic “perpetual motion machine” originally described by the medieval physician Pierre de Maricourt and later popularized by the Jesuit scholar Jean Taisner. A permanent magnet pulls an iron ball up a ramp, only for it to fall through a hole, return to the bottom of the ramp, and repeat. Due to losses by friction and demagnetization, the motion cannot be perpetual. But we investigate whether even a single loop is possible in principle. We derive and experimentally confirm an empirical force law and use this to obtain intriguing preliminary results. (Click image for full size.)

Gecko Inspired Dry Adhesive Tape — Khalil Bethea (MSU/UMES)

Normal adhesive tape people use in day-to-day life can only be used a few times before adhesion wears off and can also leave behind unwanted residue. Velcro tape is a technology that serves the same purpose as adhesive tape, but it requires a mating surface. This new form of tape can bypass these drawbacks and requirements by imitating the physical attributes of a gecko’s foot. Geckos can stick to surfaces using a physical concept called Van der Waals Forces because on their feet are very tiny hair-like structures. These “hairs” stick to surfaces because of very small attractive forces at the atomic level. This behavior can be imitated by creating thin pieces of plastic with microscopic hairlike structures similar to the foot of a gecko. (Click image for full size.)

Thermodynamics Aboard the S.S. John W. Brown — Aaliyah St. Jules, Jasmine Patel, Sean Beahn, & Daniel Roland (TU)

We explore the uses of steam engine indicators to characterize the performance of different engines aboard the Liberty Ship S.S. John W. Brown, one of the only two reciprocating-engine steamships still surviving from World War II. We first use a historical indicator (a steam-driven analog device) to reproduce a pressure-volume diagram for a small water pump. We then replicate this diagram using modern laboratory equipment and a PASCO interface. Finally, we repeat this for both cylinders of a small marine steam engine. In all cases we use our diagram to calculate engine power, and to diagnose its overall “health”. (Click image for full size.)

Lunar Rover Wheel Testing — Evan Lewis (CTU/UMCP) & Ali Arnaout (UMBC/UMCP)

The goal was to design a testing apparatus capable of testing the wheel that will be used by a lunar rover project, collecting data such as soil (lunar regolith) pressure created by the wheel, rolling resistance of the wheel, and soil displacement created by the wheel. (Click image for full size.)

Vibration-Induced Elasto-hydro-dynamic Adhesion of Thin Elastic Sheet — Isaac Omodia (UMES/Harvard), Kausik S. Das (UMES), & L. Mahadevan (Harvard)

When a thin elastic sheet is vibrated close to a wall, it leads to an adhesive effect first described by Weston-Dawkes et al. Here we quantify and describe the adhesive force as a function of the vibration frequency, vibration amplitude and the size of the elastic sheet. We show that the adhesion force increases with increasing frequency, amplitude and radius of the thin elastic sheet. (Click image for full size.)

Lunch, 12:00 – 12:55 p.m.

Session 2, 12:55 – 2:00 p.m.

The expansion of space innovation and exploration is possible through diverse partnerships and with the support of the Office of International and Interagency Relations (OIIR) at NASA. This summer a graduate student from rural North Carolina had the opportunity to witness diplomacy in action and apply classroom lessons to meaningful work. Follow her journey as she dives into a new field of interest and confirms her commitment to public service. 

This presentation will describe the experiences had by an MDSGC intern at the United States Naval Academy. Over the course of the summer, the interns helped with the USNA STEM center’s outreach programs, including SeaPerch, SET (Stem Education Training) Sail, and SHYP (Summer Heroes Youth Program). Michael focused his project on creating an educational bridge building kit while going through the engineering design process.

Two important elements for a liquid rocket are the nose cone and propellant tanks. One purpose of this project is to analyze the nose cone shape, length, and material selections. OpenRocket simulation and MiniTab analysis are used to seek a relationship between the nose cone factors and the altitude reached in flight. The analyzed data shows which factors have a significant impact on the altitude, providing a statistics-based recommendation among the shape, length, and material. The collected and examined data only offers insight into the critical factor; it does not suggest a particular shape, length, or material. The second purpose of this work is the 3D model progression of the propellant tanks created using OnShape computer-aided design. Overall, the results of this project will be used for Morgan State University’s Liquid Propellant Rocket (LPR).

During the internship in the summer of 2022 at the University of Maryland Eastern Shore(UMES), a variety of robotics and automation technologies including soft robotics were explored. Ongoing efforts reported in the latest technical articles published by researchers at several universities and research laboratories were studied. Recent articles published by the AIRSPACES project team were also studied. Pick and place tasks using commercially available soft grippers attached to industrial robotic arms installed in the UMES robotics laboratory were implemented. Simple flexible automation tasks were also implemented using the six-degree of freedom industrial robot and a four-degree of freedom SCARA robot equipped with a vision system in the laboratory. Preliminary trials were also conducted with “ Programmable Air” an Arduino Nano microprocessor-based soft robot controller that can inflate and deflate elastomer shapes cured on 3-D printed molds with appropriately designed pneumatic channels. During the internship opportunities were provided to participate in aerial imaging missions using a drone, programming a 3-axis Cartesian robot (FarmBot) to seed and irrigate on a raised bed and work with other robotic devices such as a robotic boat and ground robot that are under development in the UMES laboratory with a team of students. Significant effort was devoted to attaching, calibrating, and programming several water quality sensors on a robotic boat and conducting field trials with the set-up in a UMES pond. Valuable experience was gained in working with the Arduino microprocessor board to record the geo-located sensor data and navigating the boat autonomously using PIXHAWK open source autopilot.

I use a modified Turtlebot3 robot to draw pictures using Bézier curves. I briefly describe our robot’s physical design. I discuss my program which converts images to paths using Bézier curves. I use a carrot tracking algorithm with a PID controller to follow the paths produced. I present the robot’s drawings and discuss the results.

The history of physics is a history of discoveries,  which are not properly understood at the time of discovery!  Deeper understanding develops over decades:  with the happy result that fundamental physics is, today, almost entirely simple, easily understandable, high-school algebra.

MDSGC offers our sincere congratulations to our student presenters, a huge thanks to our internship mentors, collaborators, and supporting staff, and our hope that all attendees enjoyed and learned from these presentations!