In-line free-form surface inspection

In-Process Quality Improvement (IPQI)

IPQI project's goal is to develop, implement, demonstrate, and pilot in the industry, a systematic closed-loop quality improvement methodology with in-process adaptive monitoring capable of self-recovery from 6-sigma quality defects. As a part of this project I developed the STAS methodology , which enables the prediction of whole part deviation of a free-form surface based on partial measurement of the surface. Partial measurements reduce the time needed for the inspection of a given part and enable the effective in-line application of a 3D-Optical scanner.

In-Process Quality Improvement (IPQI)

IPQI project's goal is to develop, implement, demonstrate, and pilot in the industry, a systematic closed-loop quality improvement methodology with in-process adaptive monitoring capable of self-recovery from 6-sigma quality defects. As a part of this project I developed the STAS methodology , which enables the prediction of whole part deviation of a free-form surface based on partial measurement of the surface. Partial measurements reduce the time needed for the inspection of a given part and enable the effective in-line application of a 3D-Optical scanner.

Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner

Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner