Otter Skull Fossil
Siamogale melilutra is a newly discovered fossil otter species from Southwestern China dated to about 6 million years old. At over 100 lbs, it is one of the largest otter species known to science. An international team of scientists, including Dr. Denise Su at the Cleveland Museum of Natural History, recovered many specimens of this new species, including a complete cranium. The cranium was flattened through the fossilization process and required digital reconstruction, which took months. Through a collaboration with think[box], the reconstructed cranium was 3D printed. This 3D print of the cranium facilitated comparative analyses with other otter species (both extant and fossil). Dr. Su collaborated with think[box] to improve the resolution of the printed cranium for future research on the functional morphology of the otter.
This compact wood-burning camping stove uses fuel that is readily available in forests - sticks, twigs, and other combustible material. By using renewable and readily-available fuel, this stove eliminates packaging and trash associated with canned fuel.
RVS Rubber Solutions
According to the U.S. Environmental Protection Agency (EPA), about 100 million pounds of tire components discarded during the manufacturing process are dumped in landfills nationally each year because the body ply—the tire’s largest component—can’t be effectively recycled. But RVS Rubber Solutions, a student startup based at Case Western Reserve University, believes it has come up with a solution to this environmental hazard - thanks to a new technology called Resonant Vibrational Separation (RVS) which extracts the rubber and steel in a cost-effective and environmentally friendly way.
Cast Glass Artwork
Cleveland Institute of Art glass student, Mark Rubelowsky, turned laser cut plywood into a cast glass masterpiece. Using the think[box] laser cutters, he created a multi-layered wood mold lakeside. He used this mold to make a negative out of rubber, which he then used to cast a wax positive identical to the wooden mold. A plaster and silica mold was built around the wax positive, and the wax was steamed out to empty the mold. Then, Mark filled the plaster mold with glass powder and cullet, and fired the piece.
Wireless Low-Power Low-Cost IMU
Inertial Measurement Units (IMUs) are self-contained systems that measure linear and angular motion, typically using a triad of gyroscopes and a triad of accelerometers. IMU's are used in robotics, structural health monitoring, autonomous vehicles, and more. This self-contained IMU prototype uses the MPU9250 sensor package, which uses magnetic field and temperature data to compensate for the drift problems typically seen in gyroscopes and accelerometers. Data is packetized by a 32-bit ARM Cortex-M4 microcontroller and transmitted to a desktop computer using the XBee protocol. Compared to commercially-available IMU's, this prototype is low-cost (under $100), low-power (less than 330 mW including the wireless transmitter), and miniature. Research is underway on novel approaches to further minimize sensor drift and improve accuracy.
The Reflexion Edge is a portable, affordable, and fast concussion screening solution. This prototype was displayed at CES 2017 where over 160 news articles and social media posts reported on it. It is capable of monitoring a host of neurocognitive and psychomotor functions including depth perception, peripheral awareness, balance, complex reaction time, and memory. A user stands in front of the device and interacts with light patterns that appears on the device by touching the integrated touch screens. Data is collected during a thirty second trial that is performed weekly. Deviations from a developed trend line are used to spot potential concussions and pull athletes from play.
Hedgemon, LLC is a biomimicry start-up developing hedgehog-inspired impact protection technology for concussion prevention.
CrystalE - Energy Harvesting Sensor Network
This innovation in hassle-free building sensor networks will allow facilities to implement HVAC and other sensor networks without the up-front cost of wired sensor networks and yet without the recurring cost of batteries conventionally used in these types of systems. A mechanical energy harvester powers an ASIC sensor, both designed by Dr. Phillip Feng's research group. The information and power is fed to an existing ultra low-power 200 microwatt transmitter. The resulting system is cheaper and longer-lasting than competitive products on the market today.
The goal of this design project was to design and build a steerable hovercraft capable of transporting a 200 pound person at speeds of 10 mph or greater.
Tubercle Blades for Wind Turbine Efficiency
Researchers added tubercles to the leading edge of wind turbine blades for a 4.8% increase in lift-to-drag ratio. This increase in performance is expected to translate into increased energy output versus conventional blades. After successful computer simulations, the researchers used the ShopBot CNC table router to machine a fiberglass mold out of machinable wax, which was then used to cast the turbine blades. These prototypes were then tested in a wind tunnel facility to verify the increased performance predicted by the computer simulations.