Modeling of process forces with respect to technology parameters and tool wear in milling Ti6Al4V

The usage and importance of titanium materials is increasing worldwide. Titanium is particularly suitable for use in turbines and lightweight construction due to its high heat resistance and low density. However, its low thermal conductivity results in machining problems and short tool life due to the associated high mechanical and thermal tool loads. Knowledge about the mechanical tool load during the milling process is of vital importance to process design and modeling. This paper presents multivariate regression method to model the process forces involved in the titanium milling process with respect to various technology parameters. In particular, the resulting tool wear and its relationships with these process forces is analyzed.

[1]  Yusuf Altintas,et al.  Unified cutting force model for turning, boring, drilling and milling operations , 2012 .

[2]  S. Spiewak,et al.  An Improved Model of the Chip Thickness in Milling , 1995 .

[3]  Max Kronenberg,et al.  Grundzüge der Zerspanungslehre : eine Einführung in die Theorie der spanabhebenden Formung und ihre Anwendung in der Praxis , 1927 .

[4]  Eberhard Abele,et al.  Analysis of the Tool Deflection in End Milling of Titanium , 2016 .

[5]  M. Dargusch,et al.  Characteristics of cutting forces and chip formation in machining of titanium alloys , 2009 .

[6]  Mohammed Nouari,et al.  Effect of the third-body particles on the tool–chip contact and tool-wear behaviour during dry cutting of aeronautical titanium alloys , 2007 .

[7]  Frederick Winslow Taylor,et al.  On The Art Of Cutting Metals.pdf , 2017 .

[8]  Diana-Andreea Coroni,et al.  Prediction of Cutting Forces at 2D Titanium Machining , 2014 .

[9]  Karali Patra,et al.  Modeling Cutting Force in Micro-Milling of Ti-6Al-4 V Titanium Alloy☆ , 2015 .

[10]  Qi Wang,et al.  Prediction of cutting forces in helical milling process , 2012 .

[11]  Henk Nijmeijer,et al.  Prediction of regenerative chatter by modelling and analysis of high-speed milling , 2003 .

[12]  Richard E. DeVor,et al.  MECHANISTIC MODEL FOR THE PREDICTION OF THE FORCE SYSTEM IN FACE MILLING OPERATIONS. , 1984 .

[13]  Kornel Ehmann,et al.  Machining Process Modeling: A Review , 1997 .

[14]  Oliver Rott,et al.  A comparison of analytical cutting force models , 2006 .

[15]  Sein Leung Soo,et al.  High performance cutting of advanced aerospace alloys and composite materials , 2015 .

[16]  Samy E. Oraby,et al.  Development of models for tool wear force relationships in metal cutting , 1991 .

[17]  L. N. López de Lacalle,et al.  Advanced cutting conditions for the milling of aeronautical alloys , 2000 .

[18]  Guillaume Fromentin,et al.  From large-scale to micromachining: A review of force prediction models , 2013 .

[19]  A.J.P. Sabberwal,et al.  Cutting forces in down milling , 1962 .

[20]  Wenfeng Ding,et al.  Tool wear in milling Ti40 burn-resistant titanium alloy using pneumatic mist jet impinging cooling , 2016 .

[21]  Abdel E. Bayoumi,et al.  Tool wear modeling through an analytic mechanistic model of milling processes , 1992 .

[22]  Jon Rigelsford,et al.  Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design , 2004 .

[23]  Paolo C. Priarone,et al.  POLITECNICO DI TORINO Repository ISTITUZIONALE High performance cutting of gamma titanium aluminides : Influence of lubricoolant strategy on tool wear and surface integrity / , 2022 .

[24]  Shih-Chieh Lin,et al.  Force-based model for tool wear monitoring in face milling , 1995 .

[25]  Wan Ahmad Najmi Wan Mohamed,et al.  Comparison of A Prototype PEM Fuel Cell Powertrain Power Demand and Hydrogen Consumption Based on Inertia Dynamometer and On-Road Tests☆ , 2015 .

[26]  F. W. Taylor.  The Art of Cutting Metals , 1907 .

[27]  Mark Hardy,et al.  Modern Machining of Advanced Aerospace Alloys - Enabler for Quality and Performance , 2012 .

[28]  Matthew S. Dargusch,et al.  An investigation of cutting forces and cutting temperatures during laser-assisted machining of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy , 2012 .

[29]  Yanjun Cui,et al.  Tool wear monitoring for milling by tracking cutting force model coefficients , 2008 .

[30]  Shih-Chieh Lin,et al.  Tool wear monitoring in face milling using force signals , 1996 .

[31]  Basim A. Khidhir,et al.  FEM to predict the effect of feed rate on surface roughness with cutting force during face milling of titanium alloy , 2013 .