The article presents results of both experimental and FEM model-based investigations on
chatter phenomena that occur in the end milling process. On the basis of chatter symptoms
observed during machining, the mechanism of its occurrence has been identified. Then, a
FEM model has been built to indicate machine tool elements responsible for loss of stability.
Afterwards, experimental modal analysis has been conducted in order to validate the
FEM model. Finally, on the basis of the validated model, the structural changes have been
proposed and applied in the real object resulting in increased stability.
REFERENCES(48)
1.
Altintas Y., 2012, Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design, Cambridge University Press.
Berczynski S., Lachowicz M., Pajor M., 2001, An improved method of approximating frequency characteristics in the problem of modal analysis and its applications, WIT Transactions on Modelling and Simulation, 30.
Cao H., Lei Y., He Z., 2013, Chatter identification in end milling process using wavelet packets and Hilbert-Huang transform, International Journal of Machine Tools and Manufacture, 69, 11-19.
Chlebus E., Dybala B., 1999, Modelling and calculation of properties of sliding guideways, International Journal of Machine Tools and Manufacture, 39, 12, 1823-1839.
Chodźko M., 2015, The search for weak elements affecting the vibrostability of the system consisting of the machine tool and the cutting process, based on symptoms observed during operation, Problemy Eksploatacji, 1, 5-23.
Chodźko M., Pajor M., 2016. Static and dynamic properties examination of R1000 milling machine prototype, Advances in Manufacturing Science and Technology, 40, 4.
Dolata M., 2015, Model of roller screw and its experimental verification (in Polish), PhD Thessis, West Pomeranian University of Technology Szczecin, Szczecin.
Dombovari Z., Barton D.A.W., Wilson R.E., Stepan G., 2011, On the global dynamics of chatter in the orthogonal cutting model, International Journal of Non-Linear Mechanics, 46, 1, 330-338.
Dunaj P., Chodźko M., 2017, Experimental investigation on dynamic properties of turning machine, Advances in Manufacturing Science and Technology, 41, 1, 21-29.
Ebrahimi M., Whalley R., 2000, Analysis, modelling and simulation of stiffness in machine tool drives, Computers and Industrial Engineering, 38, 1, 93-105.
Erkorkmaz K., Altintas Y., 2001, High speed CNC system design. Part II: modelling and identification of feed drives, International Journal of Machine Tools and Manufacture, 41, 10, 1487-1509.
Faassen R.P.H., van de Wouw N., Oosterling J.A.J., Nijmeijer H., 2003, Prediction of regenerative chatter by modelling and analysis of high-speed milling, International Journal of Machine Tools and Manufacture, 43, 14, 1437-1446.
Gradišek J., Kalveram M., Insperger T., Weinert K., St´ep´an G., Govekar E., Grabec I., 2005, On stability prediction for milling, International Journal of Machine Tools and Manufacture, 45, 7-8, 769-781.
Gutowski P., Leus M., 2012, The effect of longitudinal tangential vibrations on friction and driving forces in sliding motion, Tribology International, 55, 108-118.
Hayasaka T., Atsushi I., Shamoto E., 2017, Generalized design method of highly-varied-helix end mills for suppression of regenerative chatter in peripheral milling, Precision Engineering, 48, 45-59.
Jafarzadeh E., Movahhedy R.M., 2017, Numerical simulation of interaction of mode-coupling and regenerative chatter in machining, Journal of Manufacturing Processes, 27, 252-260.
Jasiewicz M., Powałka B., 2018a, Identification of a lathe spindle dynamics using extended inverse receptance coupling, ASME Journal of Dynamic Systems, Measurment and Control, 140, 12, 121015.
Jastrzębski D., 2008, Application of the hybrid finite elements method in modelling of static properties of machine tools load-carrying subsystems, Advances in Manufacturing Science and Technology, 32, 2, 5-20.
Jastrzębski D., Dolata M., 2015, Modelling the carrying system of the machine tool under the condition of variable configurations of its motion units, Advances in Manufacturing Science and Technology, 39, 3.
Liu C., Zhu L., Ni C., 2018, Chatter detection in milling process based on VMD and Energy entropy, Mechanical Systems and Signal Processing, 105, 169-182.
Marchelek K., Pajor M., Powałka B., 2002, Vibrostability of the milling process described by the time-variable parameter model, Modal Analysis, 8, 4, 467-479.
Pulikowski D., Lackner F., Scheuerlein Ch., Meinel D., Savary F., Tommasini D., Pajor M., 2017, Testing mechanical behavior of Nb3Sn Rutherford cable during coil winding, IEEE Transactions on Applied Superconductivity, 27, 4, 1-5.
Rusinek R., Lajmert P., Kecik K., Kruszynski B., Warminski J., 2015, Chatter identification methods on the basis of time series measured during titanium superalloy milling, International Journal of Mechanical Sciences, 99, 196-207.
Rusinek R., Wiercigroch M., Wahi P., 2014, Modelling of frictional chatter in metal cutting, International Journal of Mechanical Sciences, 89, 167-176.
Suzuki N., Ishiguro R., Kojima T., 2016, Design of irregular pitch end mills to attain robust suppression of regenerative chatter, CIRP Annals-Manufacturing Technology, 65, 1, 129-132.
Tansel I.N., Wang X., Chen P., Yenilmez A., Ozcelik B., 2006, Transformations in machining. Part 2. Evaluation of machining quality and detection of chatter in turning by using s-transformation, International Journal of Machine Tools and Manufacture, 46, 1, 43-50.
Tlusty J., Polacek M., 1963, The stability of machine tools against self-excited vibrations in machining, International Research in Production Engineering, ASME, 465-474.
Wiercigroch M., Krivtsov A.M., 2001, Frictional chatter in orthogonal metal cutting, Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 359, 1781, 713-738.
Wittbrodt E., Adamiec-Wójcik I., Wojciech S., 2007, Dynamics of Flexible Multibody Systems: Rigid Finite Element Method, Springer Science & Business Media.
Yao Z., Mei D., Chen Z., 2010, On-line chatter detection and identification based on wavelet and support vector machine, Journal of Materials Processing Technology, 210, 5, 713-719.
Zaeh M., Siedl D., 2007, A new method for simulation of machining performance by integrating finite element and multi-body simulation for machine tools, CIRP Annals-Manufacturing Technology, 56, 1, 383-386.
Zhang J., Zhang H., Du C., Zhao W., 2016, Research on the dynamics of ball screw feed system with high acceleration, International Journal of Machine Tools and Manufacture, 111, 9-16.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.