The Woodlands, TX, United States of America

Jayesh Jain

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):

Title: Innovations by Jayesh Jain in Additive Manufacturing

Introduction

Jayesh Jain is an accomplished inventor based in The Woodlands, Texas. He has made significant contributions to the field of additive manufacturing, holding a total of four patents. His work focuses on enhancing the efficiency and effectiveness of additive manufacturing processes.

Latest Patents

Jayesh Jain's latest patents include a method for identifying candidate objects for additive manufacturing. This innovative approach involves aggregating data and filtering it to eliminate unsuitable objects. The method utilizes machine learning to identify objects that are suitable for additive manufacturing, ultimately generating these objects through the additive manufacturing process. Another notable patent involves methods for laser calibration in additive manufacturing systems. This method calibrates a laser by processing a test pattern while varying laser power and scan speed. The thermal energy emitted from the meltpool is measured, allowing for the calculation and adjustment of laser power based on the relationship between volumetric energy density and thermal emissions.

Career Highlights

Jayesh Jain is currently employed at Baker Hughes Oilfield Operations LLC, where he applies his expertise in additive manufacturing. His innovative contributions have positioned him as a key figure in the advancement of this technology.

Collaborations

Throughout his career, Jayesh has collaborated with notable colleagues, including John A. Bomidi and Konrad T. Izbinski. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Jayesh Jain's innovative work in additive manufacturing demonstrates his commitment to advancing technology in this field. His patents reflect a deep understanding of the complexities involved in manufacturing processes, making him a valuable contributor to the industry.

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