A statistical approach to real-time quality control

Modern manufacturing processes characterized by short series, complex part geometry and high refinement values often demonstrate conditions when traditional quality control (QC) methods do not work properly. This paper presents a prototype system for real-time QC where the developed methods and applications are integrated and post-process quality control is applied only as a complement and for reference measurements. All activities are supervised and fed with information from a developed active data acquisition system. The proposed concept contributes to bridging the gap between traditional post-process control and realtime QC of machining processes.