Years Active: 2025
Title: Innovations by Cheng Hu in Industrial Mill Monitoring
Introduction
Cheng Hu is an accomplished inventor based in Richmond, CA. He has made significant contributions to the field of industrial mill monitoring, particularly through his innovative patent. His work focuses on improving the efficiency and accuracy of monitoring liner wear in industrial mills.
Latest Patents
Cheng Hu holds a patent for a method of monitoring both liner wear and charge impact in an industrial mill. This method utilizes a sensor mounted on an elongated element that is deployed through a shell into the liner of the mill. The elongated element wears at the same rate as the liner under the conditions within the shell. Liner wear is determined by measuring the reduction in length of the elongated element through the travel time of an ultrasound wave. Additionally, the location and strength of charge impact are assessed by analyzing the amplitude of vibrations caused by the charge impact. Notably, the measurement of liner wear can be enhanced by employing shear ultrasound waves instead of conventional longitudinal ultrasound waves. The mill monitoring apparatus includes a means for acquiring both ultrasonic and audible sound waves using the same digitizer, a means for determining the angular position of the monitoring apparatus, and a means for supplying electric power to the apparatus.
Career Highlights
Cheng Hu's career is marked by his dedication to advancing technology in industrial applications. His innovative approach to monitoring liner wear has the potential to significantly improve operational efficiency in industrial mills.
Collaborations
Cheng has collaborated with notable coworkers, including Zhigang Sun and Kuo-Ting Wu, to further enhance his research and development efforts in this field.
Conclusion
Cheng Hu's contributions to the field of industrial mill monitoring exemplify the impact of innovative thinking on practical applications. His patent demonstrates a significant advancement in monitoring technology, which can lead to improved efficiency and safety in industrial operations.