Error Source Diagnostics Using a Turning Process Simulator

Abstract

To improve productivity and quality in machining, it is necessary to understand the interactions among machine tool components and the cutting process. This paper presents a model that characterizes interactions among the subsystems of a computer numerically controlled (CNC) lathe. The model is combined with a cutting force model to obtain a comprehensive turning simulator that simulates the cutting forces and part dimensions. A series of calibration experiments are proposed and implemented for process simulation. The simulation results are good when compared with experimental measurements. The interactions among the subunits of a CNC lathe and the cutting process are found to be potentially important.

Analysis–synthesis of dimensional deviation of the machining feature for discrete-part manufacturing processes

“…All kinds of error models have been established and corresponding measures to compensate local deviation have been utilized. A substantial body of literature can be found on the modeling and compensation of geometric errors [4][5][6][7][8][9], thermal errors [10][11][12][13], fixture-induced errors [14][15][16][17], and force-induced errors [18][19][20]. These techniques address the links between product dimensional quality and local process error sources in a single machining operation.…”

“…(19), the nonlinear programming procedure is coded and solved in Matlabs 2007a using the function (fmincon) to yield the contact deformation magnitude values DD(1). The specific form is expressed as follows: DDð1Þ ¼ ½1:000 0:350 À 0:100 0:000 0:000 0:000 0:000 0:000 0:000 :278 0:193 À 0:4940:847 0:124 0:298 0:000 0:000 0:000 2:817 À 0:880 0:526 1:536 0:278 0:489 T…”

Analytical Model of Dimensional Variation in Auto-Laydown Robot for Space Solar Module

“…The error modeling and compensation of local variation is an established field. A substantial body of literature can be found on the modeling and compensation of machine geometric errors [4][5][6][7][8]; thermal errors [9][10][11][12]; fixture-induced errors [13][14][15][16]; and forceinduced errors [17][18][19]. These techniques address the links between product dimensional quality and local process error sources in a single operation [20][21][22][23][24].…”