Contributions Regarding the Improvement of Turning Processes Using Statistical Process Control Method

Abstract

This paper aims documentary research of theoretical and experimental statistical process control in industrial engineering. The most effective means to reduce process variations against the customer requirements is to implement a quality management system based on statistical process control tools. Cutting regime changes in turning processes are based on careful monitoring of vibration. As soon as it is found in the milling excessive noise or vibration the measure to which it resort is to reduce one or more parameters (speed, feed and depth of cut) to remove the effect. Finally, the measure has a negative impact on performance.