The Evaluation of Analytical Models for Orthogonal Cutting Process

DOI

10.2991/eame-15.2015.141How to use a DOI?

Keywords

orthogonal cutting; analytical model; empirical model; cutting forces; chip thickness

Abstract

In Macro Mechanics view, Machining involves extremely localized and nonlinear physical phenomena that occur over a wide range of temperatures, pressures, and strains. The complexity of the system has hindered progress in predictive modeling of machining processes. Many different types of models ranging from theoretical to empirical have been developed, but the wide variety of the models makes performance assessment difficult. The goal of the present project is to assess the ability of available machining models to predict the outputs of machining processes. The approach involves calibration of the analytical models based upon data typically available on the shop floor and comparison of the outputs of the models and experiments. The experiments of the assessment of machining model (AMM) project that accomplished by (NIST) have been used. By comparing the cutting forces and chip thickness measured experimentally with the prediction of various theories it is appeared that empirical model existing in the standard charts presents the best prediction for the horizontal cutting force, however the result of hybrid models are acceptable too. The best prediction of vertical thrust force is obtained using Lee & Schaffer, while regarding the chip thickness, the best result belongs to Merchant & Ernst model.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - M.R. Vaziri Sereshk
AU  - P. Heydarizadeh
AU  - S.M. Mostafavi
PY  - 2015/07
DA  - 2015/07
TI  - The Evaluation of Analytical Models for Orthogonal Cutting Process
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 496
EP  - 499
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.141
DO  - 10.2991/eame-15.2015.141
ID  - VaziriSereshk2015/07
ER  -