Standardized Position Axial Deviation Model for Dimension Variation Control in CNC Manufacturing

The majority of the current manufacturing industries employ statistical process control (SPC) to monitor the production of components. ( In CATC manufacturing process control is vendor specific which limits the performance of SPC in adjusting the process deviation. The authors have conceptualized a standardized CAx chain that starts from design to process to production until measurement in CNC manufacturing. This paper aims to use the standardized information models of CAx chain and proposes a methodology for compensating the positional deviation of CNC machine tool for dimensional variation of manufactured components. The seamless information flow in CAx chain is used to establish a link between measured results and the geometric and process information of components. This link becomes the basis for developing a Standardized Position Axial Deviation model (SPaDe). SPaDe uses homogenous transformation matrixes for evaluating the angular and linear deviation for the placement coordinates of component features and together with an optimization algorithm to minimize the positional errors for the. axial deviation of the machine tool. SPaDe offers standardized feedback by providing compensated placement coordinates of features in the CAx chain.. A prototype system based on SPaDe is presented to minimize the positional location errors of prismatic components.