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High-Sensitivity Non-Destructive Evaluation/Testing Method for the Detection of Defects in Structures using the Geometric Phase of Acoustic Waves
This novel, highly sensitive non-destructive testing method analyzes the spacial behavior of acoustic waves to detect cracks and defects in objects and structures, with applications across many industries. This method’s sensitivity allows it to detect even slight flaws and defects, and to identify cracks through topographical complexities like...
Published: 4/23/2024
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Inventor(s): Tribikram Kundu, Pierre Deymier, Keith Runge, Guangdong Zhang
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Industrial & Manufacturing, Technology Classifications > Engineering & Physical Sciences
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Nonlinear Ultrasonic Techniques for In-Situ Process Monitoring of AM Components
This technology is a method to detect defect formation in additively manufactured metal parts through the building process. It will provide real-time process monitoring and process control in a non-invasive and non-destructive fashion. This method can be used with various types of manufacturing. Currently, it can be used with laser and e-beam powder...
Published: 2/1/2024
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Inventor(s): Tribikram Kundu, Umar Amjad, Krishna Muralidharan, Susana Castillo, Anna Hayes, Barrett Potter, Jr., Hamad Alnuaimi
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Industrial & Manufacturing, Technology Classifications > Materials > Processing
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Converting Ordinary Structures to Smart Structures that Recognize Tap Patterns and Signatures Using Guided Acoustic Waves
This invention is a device and software to recognize a tap pattern from the connected sensors to perform a specific function.
Background:
In the age of automation, the demand for increased security measures has greatly increased. This technology aims to provide a secure form of touch sensitive security. For example, users can tap on the door to access...
Published: 4/3/2023
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Inventor(s): Tribikram Kundu, Seyed Amir Hosseini Sabzevari
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Transportation & Automotive > Autonomous/Intelligent Vehicle Compone
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