• Individual Die Load Analysis Using a Standard Tonnage Monitor 

  In this research, a new method is developed to draw conclusions on individual die loads, their fluctuation and significance on process variation. Different from existing tonnage monitors, using the sum of four sensor measurements, this research is fo

• S-P3 System: Sensor-based Prognostics and Predictive Process Control for Hot Deformation Processes 

  This presentation discusses Tonnage based Forging Process Monitoring and Imaging based Surface Quality Improvement in Steel Mills.

• Automatic Feature Extraction for Monitoring of Multiple Operation Forging Processes March 2009 

  The objective of this research is to develop a new multiscale feature extraction method for monitoring and diagnosis of individual die operation conditions for multiple operation forging processes.

• Automatic Feature Extraction for Monitoring of Multiple Operation Forging Processes 

  The objective of this research is to develop an effective monitoring and diagnosis system through automatic sequential control charts generation for different processes and adaptive learning from production data for continuous improvement.

• Smart Sensing of Forging Operation via Tonnage Signature Analysis 

  In this research project funded by FIERF, the research team including Professor Judy Jin and her students from the University of Michigan and Dr. Andreas Sterzing, Mr. Jürgen Steger, and Mr. Tim Lehnert from IWU of Fraunhofer Institute, has conducted