Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance

Bibliographic Details
Main Author: Iyer, Vipin V.
Language:English
Published: University of Cincinnati / OhioLINK 2014
Subjects:
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406881376
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14068813762021-08-03T06:26:42Z Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance Iyer, Vipin V. Mechanics face milling simulation design of experiments Face milling using a three or five axis machining center is one of the most common forms of metal manufacturing processes in the world. The simplicity of the process and the accuracy of the part it produces makes it the default machining process to use for a roughing cut and finishing a surface. This research focuses on theoretically simulating a surface cut by the intermittent cutting action of a multi-point face mill cutting tool by partitioning the surface into grids. The points on the surface of each grid that have the lowest depth of cut value represent the imprint of the cutting tool on the finished surface. Machine tool geometric errors are typically present in any milling machine in a cold start condition and tend to progressively get worse over time. This finished surface is virtually generated while taking into account machine tool geometric errors from each of the machining center’s slides as well as the spindle errors by virtual modeling of the machining process. The finished surface is then virtually inspected to determine flatness error, a form tolerance, which is one of the metrics for part accuracy. A statistical treatment of error combinations is used to determine which machine tool geometric error components of a particular slide have a significant and practical impact on part accuracy defined by the flatness error. This could help improve accuracy during machining since the operator can avoid setting the slides of the machining center to locations that have higher calculated error values for these significant error terms. The study of the effect of these machine tool geometric errors of each machine slide on flatness error can be used to determine parameters of error compensation to help improve part accuracy at end of machine life. Selective error compensation might be cheaper at the end of machine life than complete machine overhaul. 2014-10-13 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406881376 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406881376 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Mechanics
face milling
simulation
design of experiments
spellingShingle Mechanics
face milling
simulation
design of experiments
Iyer, Vipin V.
Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
author Iyer, Vipin V.
author_facet Iyer, Vipin V.
author_sort Iyer, Vipin V.
title Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
title_short Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
title_full Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
title_fullStr Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
title_full_unstemmed Face Milling Simulation to Correlate and Predict The Effects of Machine Tool Geometric Errors on Part Flatness Tolerance
title_sort face milling simulation to correlate and predict the effects of machine tool geometric errors on part flatness tolerance
publisher University of Cincinnati / OhioLINK
publishDate 2014
url http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406881376
work_keys_str_mv AT iyervipinv facemillingsimulationtocorrelateandpredicttheeffectsofmachinetoolgeometricerrorsonpartflatnesstolerance
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