Control of Cutting Tool Vibration in CNC using Damping Pad

  • Suraj H Kumbhar University of Pune
  • Dr. S S. Goilkar
Keywords: Neoprene, LabVIEW, ANOVA

Abstract

Machining is a complex process in which many variables can deleterious the desired results. Among them, cutting tool vibration is the most critical phenomenon which influences dimensional precision of the components machined, functional behavior of the machine tools and life of the cutting tool. In a machining operation, the cutting tool vibrations are mainly influenced by cutting parameters like cutting speed, depth of cut and tool feed rate. In this work, the cutting tool vibrations are controlled using a damping pad made of Neoprene. Experiments were conducted on CNC where the tool holder is supported with and without damping pad. The cutting tool vibration signals were collected through a data acquisition system supported by LabVIEW software. To increase the buoyancy and reliability of the experiments, a full factorial experimental design was used. Experimental data collected were tested with analysis of variance (ANOVA) to understand the influences of the cutting parameters. Empirical models have been developed using analysis of variance (ANOVA). Experimental studies and data analysis have been performed to validate the proposed damping system. The onsite tests show that the proposed system reduces the vibration of cutting tool to a greater extend.

References

[1] Al-Habaibeh A. and Gindy N. “A new approach for systematic design of condition monitoring systems for milling operation”. Journal of Material Processing Technology, 2000; 107: 243-251. [2] Chelladurai C.W.G. Cox GM, “Experimental Designs”. Wiley, 1962; New York. [3] Choudhury S.K., Goudimenko N.N. and Kudinov V.A. “On-Line control of machine tool vibration in turning”. International Journal of Machine Tools & Manufacturing, 1996; 37 (6): 801-811. [4] S. S. ABUTHAKEER, P. V. MOHANRAM, G. MOHANKUMAR /International Journal of Lean Thinking Volume 2, Issue 1 (June 2011) 22. [5] Dimla D.E., “Sensors signals for tool-wear monitoring in metal cutting operations - A Review of methods”. International Journal of Machine tools and Manufacture, 2000; 40: 1073–1098. [6] Frankowiak M., Grosvenor R. and Prickett P,”A review of the evolution of microcontroller-based machine and process monitoring”. International Journal of Machine Tools & Manufacturing, 2005; 45: 578-582. [7] Jemielniak K. “Commercial tool condition monitoring systems”. International Journal of Advanced Manufacturing Technology, 1999, 15 (4): 711–721. [8] Johnson C.D., “Design of Passive Damping Systems”. Journal of Mechanical Design. 1995, 117: 171-177. [9] Julie Z.Z. and Joseph C.C. “Tool condition monitoring in an end-milling operation based on the vibration signal collected through a microcontroller-based data acquisition system”. International Journal of Advanced Manufacturing Technology, 2008; 39: 118-128. [10] Kakade S., Vijayaraghavan L. and Krishnamurthy R. “Monitoring of tool status using intelligent acoustic emission sensing and decision based neural network”. IEEE: 1995, 25–29. [11] Kirby E.D. and Chen J.C. “Development of a fuzzy-net based surface roughness prediction system in turning operations”. International Journal of Computer & Industrial Engineering, 2007, 53: 30–42. [12] Kurada S. and Bradley C. “A review of machine vision sensors for tool condition monitoring”. Computers in Industry, 1997; 34: 55–72. [13] Luke H.H. and Joseph C.C. “A Multiple Regression Model to predict Inprocess surface roughness in turning operation via Accelerometer”. Journal of Industrial Technology, (Internet” (www.nait.org). 2001; 17 (2): 2-7. [14] Selvam M.S. “Tool vibration and its influence on surface roughness in turning”. Wear, 1975; 35: 149-157. [15] Taskesen A. “Computer aided nonlinear analysis of machine tool vibrations and developed computer software. Mathematical and computation Applications”, 2005; 3: 377-385. [16] Xiaoli Li. “A brief review: acoustic emission method for tool wears monitoring during turning”. International Journal of Machine tools and Manufacture, 2002; 42:157–165.
Published
2018-03-22
How to Cite
Kumbhar, S., & Goilkar, D. S. (2018). Control of Cutting Tool Vibration in CNC using Damping Pad. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 2(2). Retrieved from http://asianssr.org/index.php/ajct/article/view/152
Section
Article

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