February Edition: Five of the Newest Purdue Technologies Available to License

The Purdue Research Foundation Office of Technology Commercialization updates the innovations on its Available Technologies page on a regular basis. Over the course of a month, the hundreds of innovations already on the page are joined by dozens of others; all are available for licensing and other commercialization activities.

These are five of the newest technologies listed on the OTC website. To learn more, contact otcip@prf.org and include the tracking code in the subject line.

High-Resolution Microfluidic Channel Fabrication via Additive Manufacturing. 2021-LI-69399

Researchers at Purdue University have developed a method using additive manufacturing to construct sub-100 μm microfluidic channels. By using a support liquid with low viscosity, the challenges associated with removing excess material from the channels are minimized, which reduces cost and improves scalability. This technology has applications in biotechnology, drug discovery and delivery, and more throughout the life science space.

Hybrid 3D-Printed Runway and Floor Mats. 2022-ZAVA-69900

Researchers at Purdue University have developed lightweight 3D printed panels consisting of a carbon-fiber reinforced metal composite, allowing them to have high stiffness while remaining lightweight. It offers improved longevity and mechanical properties over conventional AM2 panels. Applications include rapid deployment of structures or runways for defense, public health and natural disaster response.

Method for Improving Accuracy of Temperature Measurement. 2022-ALCA-69680

Researchers at Purdue University have developed an improved temperature measurement method that eliminates conduction errors within thermocouple probes. It consists of two-wire thermocouple probes with different thermocouple diameters. The thermocouple readings combined with conjugate heat transfer simulations deliver the actual temperature free of conduction error.

Online Forest Management Portal. 2022-CARP-69648

Researchers at Purdue University have developed a method to determine the location, structural characteristics, and health of each tree in a forest and easily access the information. Forest management groups or lumber companies can accurately estimate stocking, timber fiber, biomass and carbon sequestration levels of the trees in the forest of interest. Users can easily view, query, upload and manage the data analysis provided by the portal.

SmartAdapt: Multi-branch Object Detection Framework for Videos on Mobiles. 2022-CHAT-69905

Researchers at Purdue University have developed SmartAdapt, a video object detection framework. It can be easily integrated into existing object detection solutions previously thought to be too computationally expensive for mobile computing to allow them to perform well on mobile hardware. Applications of this technology include mobile computer vision, autonomous vehicles and object recognition/tracking.