This inventor holds 1 USPTO granted patent. Top assignee: Usx Corporation. Active years: 2000.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2000
Title: Michael Howard Best: Innovator in Coal Density Prediction
Introduction
Michael Howard Best is an accomplished inventor based in Monroeville, PA (US). He has made significant contributions to the field of coal density prediction through his innovative methods. His work focuses on improving the accuracy of bulk density measurements, which is crucial for various applications in the coal industry.
Latest Patents
Michael Howard Best holds a patent for a method titled "Prediction of bulk density of particulates with a correlation based on." This patent describes a process for predicting the bulk density of coal after it is dropped from a known height into a container. The method involves obtaining multiple coal samples, measuring their bulk density and moisture content, and establishing a correlation to predict the bulk density after the drop. This innovative approach enhances the understanding of coal behavior during handling and processing.
Career Highlights
Throughout his career, Michael has been associated with Usx Corporation, where he has applied his expertise in coal density prediction. His work has contributed to advancements in the efficiency and safety of coal handling processes. With a focus on practical applications, he has made a lasting impact in his field.
Collaborations
Michael has collaborated with various professionals, including his coworker David Michael Rohaus. These partnerships have fostered innovation and the sharing of ideas, further enhancing the development of new technologies in coal density measurement.
Conclusion
Michael Howard Best is a notable inventor whose work in predicting coal bulk density has paved the way for advancements in the coal industry. His innovative methods and dedication to improving measurement accuracy demonstrate his commitment to enhancing industrial processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile