Concord, CA, United States of America

Calvin Fu


Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Location History:

  • Richmond Hill, CA (2013)
  • Concord, CA (2015)

Company Filing History:


Years Active: 2013-2015

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2 patents (USPTO):Explore Patents

Title: Innovations of Calvin Fu in Moving Web Manufacturing

Introduction

Calvin Fu is an accomplished inventor based in Concord, CA (US). He has made significant contributions to the field of moving web manufacturing, holding a total of 2 patents. His innovative approaches have advanced the efficiency and effectiveness of manufacturing processes.

Latest Patents

Calvin Fu's latest patents include a method of modeling the coloring process in moving web manufacturing. This patent outlines a method and apparatus for modeling a coloring process through dye response gain adaptation using measured sheet color spectrum. It also details dye response shape adaptation using the measured color spectrum of the production sheet. The adaptation of colorant response utilizes the measured sheet color spectrum value at the maximum light absorbance of the dye. Additionally, he has developed a method and apparatus for reel building and roll runnability in moving web manufacturing. This invention focuses on controlling an actuator in the manufacturing process, involving the measurement of actuator profiles and generating nominal response models.

Career Highlights

Calvin Fu works at Metso Automation Inc., where he applies his expertise in moving web manufacturing. His work has been instrumental in developing innovative solutions that enhance manufacturing processes.

Collaborations

Calvin collaborates with talented coworkers, including Seyhan Nuyan and Antti Heikkinen. Their combined efforts contribute to the advancement of technology in their field.

Conclusion

Calvin Fu's contributions to moving web manufacturing through his patents and collaborative efforts highlight his role as a key innovator in the industry. His work continues to influence the future of manufacturing processes.

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