Analysis of the Effect of Feed on Chip Size Ratio and Cutting Forces in Face Milling for Various Cutting Speeds

Face milling is one of the most common machining processes used for the production of high quality flat surfaces. Another important feature of the process is the high material removal rate that can be achieved, or in the case of milling performed at one pass, the high surface rate. Surface rate is increased by increasing feed and cutting speed; both are bound by technological limitations and are limited to rather small variations, especially cutting speed. In finishing face milling, if feed per tooth is increased, subsequently the shape of the chip cross section is altered. This results in the change of the loads of the cutting edges, which influences the cutting forces and process efficiency. In this study, an experimental investigation is carried out in order to determine the influence of feed on chip size ratio. For this purpose, five different values of feed, at two different cutting speeds are tested for face milling. It is concluded that an increase in feed from 0.1 to 1.6 mm results in eight-fold increase of cutting force Fc while surface rate proportionally increases 16 times and specific cutting force only 0.5 times.

[1]  J. Kundrák,et al.  COMPARATIVE STUDY OF MATERIAL REMOVAL IN HARD MACHINING OF BORE HOLES , 2014 .

[2]  Jan Sieniawski,et al.  Evaluation of the Cutting Force Components and the Surface Roughness in the Milling Process of Micro- and Nanocrystalline Titanium , 2016 .

[3]  V. Dimitriou,et al.  A Study of Explicit Numerical Simulations in Orthogonal Metal Cutting , 2017 .

[4]  Robert Kowalczyk,et al.  Precision Milling of Hardened Steel with CBN Tools , 2013 .

[5]  Wassila Bouzid,et al.  Roughness modeling in up-face milling , 2005 .

[7]  Valdas Eidukynas,et al.  The Numerical Analysis of Cutting Forces in High Feed Face Milling, Assuming the Milling Tool Geometry , 2016 .

[8]  M. Estrems,et al.  A study of back cutting surface finish from tool errors and machine tool deviations during face milling , 2008 .

[9]  Andrew Y. C. Nee,et al.  Theoretical modelling and simulation of cutting forces in face milling with cutter runout , 1999 .

[10]  J. V. Abellán,et al.  Study of face milling of hardened AISI D3 steel with a special design of carbide tools , 2009 .

[11]  B. Karpuschewski,et al.  Improvement of Dynamic Properties in Milling by Integrated Stepped Cutting , 2007 .

[12]  Jianfeng Li,et al.  Three Dimensional Finite Element Simulation of Cutting Forces and Cutting Temperature in Hard Milling of AISI H13 Steel , 2017 .

[13]  Mustafa Gölcü,et al.  Modeling of cutting forces as function of cutting parameters for face milling of satellite 6 using an artificial neural network , 2007 .

[14]  P. Asokan,et al.  SURFACE ROUGHNESS PREDICTION USING HYBRID NEURAL NETWORKS , 2007 .

[15]  János Kundrák,et al.  3D Roughness Parameters of Surfaces Face Milled by Special Tools , 2016 .

[16]  Mohammadjafar Hadad,et al.  Modeling and analysis of a novel approach in machining and structuring of flat surfaces using face milling process , 2016 .

[17]  N. Suresh Kumar Reddy,et al.  Selection of optimum tool geometry and cutting conditions using a surface roughness prediction model for end milling , 2005 .

[18]  Illés Dudás,et al.  3D topography for environmentally friendly machined surfaces , 2005 .

[19]  B. Karpuschewski,et al.  A New Strategy in Face Milling - Inverse Cutting Technology , 2017 .

[20]  M. Vrábel,et al.  Comparison of Milling Strategies when Machining Freeform Surfaces , 2016 .

[21]  Matthew A. Davies,et al.  Recent advances in modelling of metal machining processes , 2013 .

[22]  Wit Grzesik,et al.  Analysis of mechanical characteristics of face milling process of Ti6AI4V alloy using experimental and simulation data , 2016 .

[23]  B. Illés,et al.  New Challenges for Quality Assurance of Manufacturing Processes in Industry 4.0 , 2017 .

[24]  V. I. Guzeev,et al.  A study of the influence of processing parameters and tool wear on elastic displacements of the technological system under face milling , 2017, The International Journal of Advanced Manufacturing Technology.

[25]  N. Baskar,et al.  Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time , 2012, Expert Syst. Appl..

[26]  I. Korkut,et al.  The influence of feed rate and cutting speed on the cutting forces, surface roughness and tool–chip contact length during face milling , 2007 .

[27]  D. Yu. Pimenov Mathematical modeling of power spent in face milling taking into consideration tool wear , 2015 .

[28]  Y. Wong,et al.  An Approach to Theoretical Modeling and Simulation of Face Milling Forces , 2000 .

[29]  Paul G. Maropoulos,et al.  A geometrical model for surface roughness prediction when face milling Al 7075-T7351 with square insert tools , 2015 .

[30]  J. Kundrák,et al.  The effect of the shape of chip cross section on cutting force and roughness when increasing feed in face milling , 2017 .