Ting Chen

Title: Innovations by Inventor Ting Chen

Introduction

Ting Chen is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of data mining and production quality prediction in aluminum alloy casting. His innovative approach combines advanced sensor technology with data analysis to enhance manufacturing processes.

Latest Patents

Ting Chen holds a patent for a "Data mining-based method for real-time production quality prediction of aluminum alloy casting, electronic device, and computer-readable storage medium." This patent outlines a method that includes several key steps: first, installing sensors on a casting mold based on mold flow analysis results. These sensors consist of at least one temperature sensor, at least one pressure sensor, at least one contact sensor, and a multi-functional gas sensor. During the casting production, the method involves real-time collection of temperatures, pressures, and contact times of the aluminum liquid at various locations of the casting mold. Additionally, it gathers data on pressure, composition, humidity, and temperature of gas in the mold cavity. This information is then used to construct an aluminum alloy casting process parameter set, which is input into a production quality prediction model. This model assesses whether the production quality meets the required standards by analyzing the relationship between historical casting process parameters and casting quality data.

Career Highlights

Ting Chen is affiliated with Hangzhou City University, where he contributes to research and development in his field. His work focuses on integrating technology with manufacturing processes to improve efficiency and quality.

Collaborations

Ting Chen collaborates with colleagues such as Weipeng Liu and Tao Peng, who contribute to his research initiatives and projects.

Conclusion

Ting Chen's innovative methods in data mining and production quality prediction represent a significant advancement in the field of aluminum alloy casting. His contributions are paving the way for more efficient manufacturing processes and improved product quality.