This inventor holds 2 USPTO granted patents. Top assignee: Ford Motor Company Limited. Active years: 2019-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2021
Title: Jon Guske: Innovator in Machine Calibration Technologies
Introduction
Jon Guske is an accomplished inventor based in New Baltimore, MI (US). He has made significant contributions to the field of machine calibration, holding a total of 2 patents. His innovative methods focus on enhancing the accuracy and efficiency of machine operations under varying thermal conditions.
Latest Patents
Jon Guske's latest patents include a "Method and system for calibrating and operating a machine." This patent outlines a method that involves logging offset data of a machine over a period of operational time with varying thermal conditions. The process includes comparing the logged offset data against a thermal model, estimating offsets for the machine, and adjusting these offsets during operation. Another notable patent is the "Method for generating CNC machine offset based on thermal model." This method describes how to process a workpiece in a machine by determining and adjusting offsets during production operations, ensuring precision through a thorough calibration routine.
Career Highlights
Jon Guske is currently employed at Ford Motor Company Limited, where he applies his expertise in machine calibration technologies. His work contributes to the advancement of manufacturing processes, particularly in the automotive industry.
Collaborations
Throughout his career, Jon has collaborated with talented individuals such as Chandra Sekhar Jalluri and Himanshu Rajoria. These collaborations have fostered innovation and enhanced the development of new technologies in machine calibration.
Conclusion
Jon Guske is a notable inventor whose work in machine calibration has led to significant advancements in the field. His patents reflect a commitment to improving operational efficiency and accuracy in manufacturing processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
