Los Alamos, NM, United States of America

Vivek R Dave'


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 158(Granted Patents)


Company Filing History:


Years Active: 2005

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1 patent (USPTO):Explore Patents

Title: Innovations in Welding Quality: The Contributions of Vivek R. Dave

Introduction: Vivek R. Dave, based in Los Alamos, New Mexico, is an accomplished inventor with a notable patent enhancing the quality assessment of weld joints. His innovative approach combines acoustical data analysis with advanced neural network technology to provide accurate evaluations of welding processes.

Latest Patents: Vivek holds a patent for a "Method and apparatus for in-process sensing of manufacturing quality." This invention presents a systematic method for assessing the quality of weld joints during the friction welding process. By utilizing acoustical data captured from the weld joint and implementing a trained neural network, Vivek's invention offers a reliable means of determining weld quality. The apparatus described in the patent includes acoustical sensors housed within a unit designed to be mounted on friction welding devices, ensuring effective data collection without contact with the weld joint.

Career Highlights: Vivek is part of the team at the United States Department of Energy, where his work focuses on advancing technology in welding and manufacturing quality control. His patented method represents a significant leap forward in integrating smart technology with traditional manufacturing processes.

Collaborations: In his professional endeavors, Vivek collaborates with notable colleagues, including Daniel A. Hartman and Mark J. Cola. Together, they contribute to the advancement of innovative methodologies in the field of welding and manufacturing.

Conclusion: Vivek R. Dave's innovative work stands at the intersection of engineering and technology, demonstrating how modern solutions can be applied to enhance manufacturing quality. His patent not only reflects his ingenuity but also signifies the potential for further advancements in the quality assessment of welding processes.

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