This Small Business Technology Transfer Research (STTR) Project will develop an imaging system with intelligence so that it can be used as an intelligent advisor for process design and control. Integrating the inspection system with an inference engine provides the intelligence in the imaging… More

This Small Business Innovation Research (SBIR) Phase I project aims to apply advanced signal processing methodologies such as Principal Component Analysis (PCA) to forging processes. This project will address the need of the forging industry with PCA-based control charts for in-line applications.… More

The Small Business Innovation Research (SBIR) Phase II project will develop an advanced tonnage signal processing system for the forging industry. This system will utilize advanced signal processing methods and statistical control techniques to distinguish between normal (in-control) and abnormal… More

The Small Business Technology Transfer Research (STTR) Phase II project will develop an inference engine for an intelligent imaging system that can detect and eliminate surface defects in hot rolling operations. These defects account for roughly 50% of steel rejects. The proposed product is an… More

This Small Business Innovation Research (SBIR) Phase I project seeks to verify the feasibility of an imaging based monitoring system for the piercing process used in the manufacturing of seamless steel tubes. Piercing is the core process of seamless tubes manufacturing, the process that puts a hole… More

The current practice of continuous casting, the primary steel making process in the U.S., has room to improve, in order to achieve better efficiency and energy savings. Each year, millions of tons of metal are scrapped, and multiple trillion BTUs of energy are wasted. A study funded by the… More

Dimension control is very important in manufacturing. Poor dimension control leads to surface defects, incorrect cross-section weight distribution, and final product straightness. There exist only primitive tools for dimensional measurement after each rolling stand; even though the end of- line… More

Dimension control is very important in manufacturing. Poor dimension control leads to surface defects, incorrect cross-section weight distribution and final product straightness. The existing practices in the hot manufacturing processes are prone to inaccuracy and potentially compromising worker… More

This Small Business Innovation Research Phase I project proposes to develop the Data-fusion Predictive Control for the Flaws in the Bulk of the Continuously Cast Products ("DPC") in which (a) various sensors are used to acquire surface conditions of the cast products in a steel mill, (b) a… More

The current practice in the continuous casters, the primary steel making process in the US, has room to improve for better efficiency and energy savings. Each year, millions of tons of metal are scrapped and energy in multiple trillion BTUs is wasted, due to process limits. New sensors and advanced… More

This Small Business Innovation Research Phase II project proposes to develop an imaging based monitoring system for the piercing process used in the manufacturing of seamless steel tubes based on the feasibility proven in Phase I. Piercing is the core process of the near net-shape manufacturing… More