Mechanistic modelling for predicting cutting forces in machining considering effect of tool nose radius on chip formation and tool wear land

Abstract Tool wear during machining has been seen to result in changes in tool geometry, which adversely affect the performance characteristic of the process. Various force models have been proposed to compensate for the tool wear and thus enhance the process performance. The study undertaken proposes a mechanistic model to predict the cutting forces based on three-dimensional cutting operations. The model has been developed for predicting forces due to chip formation and due to worn-out cutting tool including cutting tool nose radius. The force that has been predicted due to chip formation is a function of chip flow angle and equivalent cutting edge geometry. The prediction of force due to worn-out cutting tool is based on the actual chip-tool contact area and the rubbing force. The total force estimated has been further optimised to get accuracy in the model. Optimisation process is achieved by using a technique of order preference by similarity to the ideal solution. Results of the proposed force model have been experimentally validated as well as found to be in good agreement with the results of the force models proposed by Huang and Liang [39] and Chinchanikar and Choudhury [21]. Further, a regression equation has been developed in order to check the adequacy of the proposed model. The modelling approach proposed may be readily extended to other machining operations such as drilling and milling.

[1]  Jun Wang,et al.  Development of a Chip Flow Model for Turning Operations , 2001 .

[2]  E. Armarego,et al.  The Machining of Metals , 1969 .

[3]  Alain D'acunto,et al.  Effect of Cutting Edge Geometry on Chip Flow Direction – Analytical Modelling and Experimental Validation ☆ , 2017 .

[4]  Wit Grzesik,et al.  Advanced Machining Processes of Metallic Materials: Theory, Modelling and Applications , 2008 .

[5]  Jun Wang,et al.  Development of a general tool model for turning operations based on a variable flow stress theory , 1995 .

[6]  G. Boothroyd,et al.  EFFECT OF TOOL FLANK WEAR ON THE TEMPERATURES GENERATED DURING METAL CUTTING , 1968 .

[7]  Li Zheng,et al.  On the prediction of chip flow angle in non-free oblique machining , 2004 .

[8]  E. G. Thomsen,et al.  The Role of Friction in Metal Cutting , 1960 .

[9]  Steven Y. Liang,et al.  Modeling of Cutting Forces Under Hard Turning Conditions Considering Tool Wear Effect , 2005 .

[10]  Chuanzhen Huang,et al.  The Effect of Tool Flank Wear on the Orthogonal Cutting Process and its Practical Implications , 2003 .

[11]  S. K. Choudhury,et al.  Cutting force modeling considering tool wear effect during turning of hardened AISI 4340 alloy steel using multi-layer TiCN/Al2O3/TiN-coated carbide tools , 2016 .

[12]  Kejia Zhuang,et al.  An analytical model for the prediction of force distribution of round insert considering edge effect and size effect , 2018 .

[13]  Mohamed A. Elbestawi,et al.  HIGH STRAIN RATE SHEAR EVALUATION AND CHARACTERIZATION OF AISI D2 TOOL STEEL IN ITS HARDENED STATE , 2001 .

[14]  Grzegorz Krolczyk,et al.  Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling , 2018 .

[15]  G. V. Stabler.  The Fundamental Geometry of Cutting Tools , 1951 .

[16]  Shiv Gopal Kapoor,et al.  A Slip-Line Field for Ploughing During Orthogonal Cutting , 1997, Manufacturing Science and Engineering: Volume 2.

[17]  Li Zheng,et al.  An improved chip flow model considering cutting geometry variations based on the equivalent cutting edge method , 2003 .

[18]  P. Mathew,et al.  Allowing for End Cutting Edge Effects in Predicting Forces in Bar Turning with Oblique Machining Conditions , 1986 .

[19]  Richard E. DeVor,et al.  A NEW MECHANISTIC MODEL FOR PREDICTING WORN TOOL CUTTING FORCES , 2001 .

[20]  Grzegorz Krolczyk,et al.  Investigation on the edge forces in ball end milling of inclined surfaces , 2016 .

[21]  Szymon Wojciechowski,et al.  Mechanical and technological aspects of micro ball end milling with various tool inclinations , 2017 .

[22]  Sounak Kumar Choudhury,et al.  Predictive modeling for flank wear progression of coated carbide tool in turning hardened steel under practical machining conditions , 2015 .

[23]  Daniel J. Waldorf.  Shearing, ploughing, and wear in orthogonal machining , 1996 .

[24]  P.L.B. Oxley,et al.  Prediction of Chip Flow Direction and Cutting Forces in Oblique Machining with Nose Radius Tools , 1995 .

[25]  Richard E. DeVor,et al.  A worn tool force model for three-dimensional cutting operations , 2000 .

[26]  Tao Xiong,et al.  An analytical force mode applied to three-dimensional turning based on a predictive machining theory , 2018 .

[27]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.