Somerville, MA, United States of America

Kevin Cedrone

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Kevin Cedrone: Innovator in 3D Printing Technology

Introduction

Kevin Cedrone is an accomplished inventor based in Somerville, MA (US). He has made significant contributions to the field of 3D printing, particularly in predicting material properties and part quality through innovative systems and methods.

Latest Patents

Cedrone holds a patent for "Systems and methods for using wire printing process data to predict material properties and part quality." This patent discloses systems and methods that utilize printing process data to forecast quality measures for three-dimensional (3D) printed objects and the properties of the materials used in these objects. The technology involves resistive or Joule printing, where a computer is connected to a 3D printing apparatus that stores printing parameters. The apparatus can take measurements during a print job and record these measurements in memory. It also captures printing states before, during, and after the printing process. By analyzing a combination of printing states, parameters, and measurements, often through a machine learning algorithm, the system can predict material properties and quality measures.

Career Highlights

Kevin Cedrone is currently employed at Relativity Space, Inc., where he continues to push the boundaries of 3D printing technology. His work focuses on enhancing the quality and reliability of 3D printed materials, which is crucial for various applications in manufacturing and engineering.

Collaborations

Cedrone collaborates with talented individuals in his field, including Duncan McCallum and Salvador Barriga. Their combined expertise contributes to the innovative projects at Relativity Space, Inc.

Conclusion

Kevin Cedrone is a notable inventor whose work in 3D printing technology is paving the way for advancements in material quality prediction. His contributions are essential for the future of manufacturing and engineering.

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