In-situ worn geometry effect over the surface roughness propagation during micro milling process
DOI:
https://doi.org/10.15282/jmmst.v4i1.3836Keywords:
Tool wear, surface roughness, micro-milling, High precision machining, real time monitoringAbstract
High-precision miniaturized components for micro-machining operations has an increasingly demand for numerous developing sectors such as medical instrumentations, electronics components, computer manufacturing, aerospace and automotive engineering. Micro-milling has known as a flexible micro machining process and the most familiar micro mechanical machining method. Due to overcome a few difficulties in micro fabrication, micro milling is picked as an alternative way as it has potential and imperative for high accuracy machining. However, micro tools have low tool life as it is unpredictably and wear quickly. Furthermore, it also has tendency to break easily due to its micro size dimension. The study observe the behaviour of micro milling worn geometry during machining and includes a non-conventional method to measure surface roughness resulted by micro milling process in machining of mild steel AISI1045. The workpiece is prepared by using CNC milling machine with facing and slotting process. Then, the mild steel AISI1045 will undergo a machining process by a 1 mm size end mill diameter with different set of parameters which are spindle speed, feed rate, radial depth and axial depth. Lastly, for the results, the surface roughness of the machined surface will be observed and the condition of tool and the measurement of wear for the tool will be investigated.
References
F. Castaño, R. E. Haber, and R. M. D. Toro, “Characterization of tool-workpiece contact during the micromachining of conductive materials,” Mechanical Systems and Signal Processing, vol. 83, pp. 489–505, 2017.
R. K. Mittal, R. K. Singh, S. S. Kulkarni, P. Kumar, and H. Barshilia, “Characterization of anti-abrasion and anti-friction coatings on micromachining response in high speed micromilling of Ti-6Al-4V,” Journal of Manufacturing Processes, vol. 34, pp. 303–312, 2018.
H. S. Yoon and K. F. Ehmann, “Dynamics and stability of micro-cutting operations,” International Journal of Mechanical Sciences, vol. 115-116, pp. 81–92, 2016.
B. Ghoshal and B. Bhattacharyya, “Vibration assisted electrochemical micromachining of high aspect ratio micro features,” Precision Engineering, vol. 42, pp. 231–241, 2015.
R. Onler, E. Korkmaz, K. Kate, R. E. Chinn, S. V. Atre, and O. B. Ozdoganlar, “Green micromachining of ceramics using tungsten carbide micro-endmills,” Journal of Materials Processing Technology, vol. 267, pp. 268–279, 2019.
B. Cuka and D.-W. Kim, “Fuzzy logic based tool condition monitoring for end-milling,” Robotics and Computer-Integrated Manufacturing, vol. 47, pp. 22–36, 2017.
R. Liu, A. Kothuru, and S. Zhang, “Calibration-based tool condition monitoring for repetitive machining operations,” Journal of Manufacturing Systems, vol. 54, pp. 285–293, 2020.
S. Swain, I. Panigrahi, A. K. Sahoo, and A. Panda, “Adaptive tool condition monitoring system: A brief review,” Materials Today: Proceedings, 2019.
M. Hassan, A. Sadek, A. Damir, M. Attia, and V. Thomson, “A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining,” CIRP Annals, vol. 67, no. 1, pp. 41–44, 2018.
J. Ratava, M. Lohtander, and J. Varis, “Tool condition monitoring in interrupted cutting with acceleration sensors,” Robotics and Computer-Integrated Manufacturing, vol. 47, pp. 70–75, 2017.
S. Chen, R. Feng, C. Zhang, and Y. Zhang, “Surface roughness measurement method based on multi-parameter modeling learning,” Measurement, vol. 129, pp. 664–676, 2018
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Journal of Modern Manufacturing Systems and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
