Numerical Simulation Studies on the Process of Machining of Shafts with Low Rigidity

• Autorzy: Świć A. , Gola A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a computer program developed for the determination of the basic dynamic characteristics of the process of machining, numerical simulations of the dynamic system of the process of machining, and graphic presentations of the numerical simulations performed. Results of simulations of the runs of time and frequency characteristics of the process of machining with variable machining parameters are presented. High goodness-of-fit of the model with the actual process of turning was achieved.

Słowa kluczowe

EN

turning; shaft with low rigidity; numerical simulation studies

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2016
• Tom: Vol. 12, no 2
• Strony: 42--53
• Opis fizyczny: Bibliogr. 12 poz., fig., tab.

Twórcy

autor

Świć A.

• Institute of Technological Systems of Information, Lublin University of Technology, Nadbystrzycka Street 36, 20-618 Lublin, Poland

autor

Gola A.

• Department of Enterprise Organization, Lublin University of Technology, Nadbystrzycka Street 38, 20-618 Lublin, Poland

Bibliografia

• [1] Abakumov A., Taranenko V., Zubrzycki J.: Modeling of characteristics of dynamic system of turning process for axial-symmetric shafts. V-th International Congress “Mechanical Engineering Technologies ‘06” (MT’’06). Varna, Bulgaria, 2006, Procedings, Section III, p. 76–78.
• [2] Cardi A. A., Firpi H. A., Bement M. T., Liang S. Y.: Workpiece dynamic analysis and prediction during chatter of turning process. Mechanical Systems and Signal Processing, 22, 2008, p. 1481–1494.
• [3] Gola A., Montusiewicz J., Świć A.: Computer Aided FMS machine tools sub-system selection using the Evolutionary System of Multicriteria Analysis. Applied Computer Science, 7 (1), 2011, p. 18–29.
• [4] Gola A., Świć A.: Computer aided FMS machine tools subsystem selection – conception of methodology. Applied Computer Science, 5 (1) 2009, p. 27–38.
• [5] Rathcev S., Liu S., Huang W., Becker A. A.: Milling error prediction and compensation in machining of low-rigidity parts. International Journal of Machine Tools and Manufacture, 15(44), 2004, p. 1629–1641.
• [6] Świć A., Gola A.: Economic Analysis of Casing Parts Production in a Flexible Manufacturing System. Actual Problems of Economics, 141(3), 2013, p. 526–533.
• [7] Świć A., Mazurek L.: Modeling the reliability and efficiency of flexible synchronous production line. Eksploatacja i Niezawodność – Maintenance and Reliability 2011, 4 (52), p. 41–48.
• [8] Świć A., Taranenko W.: Adaptive control of machining accuracy of axial-symmetrical low-rigidity parts in elastic-deformable state. Eksploatacja i Niezawodnosc – Maintenance and Reliability 14(3), 2012, p. 215–221.
• [9] Świć A., Wołos D., Zubrzycki J., Opielak M., Gola A., Taranenko V.: Accuracy Control in the Machining of Low Rigidity Shafts. Applied Mechanics and Materials, 613, 2014, pp. 357–367.
• [10] Świć A., Taranenko V., Abakumov A., Taranenko G., Wołos D.: Modelowanie i sterowanie obróbką ubytkową osiowosymetrycznych części o małej sztywności, Wyd. Politechniki Lubelskiej, Lublin 2015.
• [11] Świć A.: Technologia obróbki wałów o małej sztywności. Wydawnictwo Politechniki Lubelskiej, Lublin 2009.
• [12] Wu D. W., Liu C. R.: An analitical model of Cutting dynamics. Part 2. Verification Trans., ASME, 107B, 1985, p. 112.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę