Establishing the Energy Profile for Geometric Variations of a Planar Surface

The focus of this paper is to establish energy requirements for controlling different geometric variations of a planar surface. Two test parts with 6 different planar surfaces are machined on a Prolight CNC machine. The energy consumed is gathered through Kistler piezoelectric force dynamometer, a voltage amplifier and data acquisition system. The point cloud data of the machined surface, obtained through a 3D scanner (NextEngine) is used to compute flatness zones, using MinMax algorithm. The resulting tolerance zone values and energy data observed in the machining process are then used to establish the energy profile of geometric tolerances for flatness.