A Literature Review on Prediction Methods for Forced Responses and Associated Surface Form/Location Errors in Milling.

During milling operations, regenerative and periodic forces are generated from the interactions of cutting tools and workpieces. While the regenerative forces can be preempted by proper choice of process parameters, the periodic forces cannot. The latter induce forced responses which leave behind imprints on machined parts causing, for example, tolerance concerns. Fortunately, the responses and thus the imprints can be mitigated by proper choice of parameters. In the published literature, the imprints seem to be predominantly named according to the type of analytical treatment of the problem. They are mostly called (surface) form error (SFE) when deemed to result from static deflections at instants of periodic forces while they are mostly called surface location error (SLE) when deemed to result from dynamic responses to the periodic forces. Both SFE and SLE are referred to as periodic force induced surface error (PFISE) here. This work presents a comprehensive literature review of the available PFISE modeling methods, including concise generic explanations of the analytical formulations and the solution algorithms. The review contains more than 340 literature references which also cover data-driven methods for which measurements/images of machined surface are used to generate point cloud of surface topography from which patterns of PFISE can be identified or empirical/black box models of surface errors (which include PFISE) can be calibrated. The results of PFISE modeling is usually applied in error compensation algorithms and, hence, works on such applications are also reviewed. This literature review unveils the trends of over 6 decades and still continuing research and recommends avenues to further the research in the future. [ABSTRACT FROM AUTHOR]