Wireless Vibration Monitoring System for Milling Process


  • Muhamad Rausyan Fikri Department of Information Systems, Faculty of Engineering and Technology, Sampoerna University, Pancoran, Jakarta 12780, Indonesia
  • Kushendarsyah Saptaji Department of Mechanical Engineering, Faculty of Engineering and Technology, Sampoerna University, Pancoran, Jakarta 12780, Indonesia
  • Fijai Naja Azmi Department of Mechanical Engineering, Faculty of Engineering and Technology, Sampoerna University, Pancoran, Jakarta 12780, Indonesia




milling process, monitoring system, vibration sensor, wireless sensor


The implementation of industrial revolution 4.0 in manufacturing industries is necessary to adapt to the rapid changes of technologies. The milling process is one of the common manufacturing processes applied in the industries to produce engineering products. The vibration that occurs in the milling process can disturb the continuity of the process. The wired vibration monitoring system implemented in the manufacturing process needs to be replaced with the wireless monitoring system. Hence wireless vibration monitoring system is developed to solve the problem with wired monitoring systems where tucked cable and high cost are the main challenges of the wired monitoring system. The wireless monitoring system setup is built using three components: sensor node, monitoring node, and base station. Milling experiments with various depths of cut, feed rate, and spindle speed were conducted to examine the performance of the wireless monitoring system. The results indicate the wireless system shows similar data recorded by the wired system. The wireless vibration monitoring system can identify the effect of milling parameters such as depth of cut, feed rate, and spindle speed on the vibrations level. The effect of cut depth is more significant than spindle speed and feed rate in the defined parameters.


Download data is not yet available.


Shreve, D.H., Introduction to Vibration Technology, Proceedings, Predictive Maintenance Technology Conference, Annual Meeting, 1994.

Dawson, B., Vibration Condition Monitoring Techniques for Rotating Machinery. The shock and vibration, Digest, 8(12), 3, 1976.

Heng, A., Rotating Machinery Prognostics: State of the Art, Challenges, and Opportunities, Mechanical Systems and Signal Processing, 23(3), pp. 724-739, 2009.

Purschwitz, M. A., Personal Protective Equipment and Safety Engineering of Machinery, Agricultural Medicine. Springer, New York, NY, pp, 53-69, 2006.

Ma, L., Howard, I., Pang, M., Wang, Z. & Jianxiu, S., Experimental Investigation of Cutting Vibration during Micro-End-Milling of the Straight Groove, Micromachines, 11, 494, May 2020.

Pejryd, L. & Eynian, M., Minimization of Chatter in Machining by the Use of Mobile Platform Technologies, Proc. 5th Int. Swedish Prod. Symp. SPS12, pp. 179-189, Jan. 2012.

Yue, C., Gao, H., Liu, X., Liang, S. Y. & Wang, L., A Review of Chatter Vibration Research in Milling, Chinese J. Aeronaut., 32(2), pp. 215-242, 2019.

Chuangwen, X., Jianming, D., Yuzhen, C., Huaiyuan, L., Zhicheng, L. S. & Jing, X., The Relationships Between Cutting Parameters, Tool Wear, Cutting Force and Vibration, Adv. Mech. Eng., 10, 168781401775043, Jan. (2018).

Zagrski, I. & Kulisz, M., Effect of Technological Parameters on Vibration Acceleration in Milling and Vibration Prediction with Artificial Neural Networks, MATEC Web Conf., 252, 2019.

Saptaji, K., Afiqah, S. N., & Ramdan, R. D., A Review on Measurement Methods for Machining Induced Residual Stress, Indonesian Journal of Computing, Engineering and Design (IJoCED), 1(2), 106, 2019. DOI: 10.35806/ijoced.v1i2.64

Saptaji, K., Triawan, F., Sai, T. K., & Gebremariam, A., Deburring Method of Aluminum Mould Produced by Milling Process for Microfluidic Device Fabrication, Indonesian Journal of Science and Technology, 6(1), 123-140, 2021. DOI: 10.17509/ijost.v6i1.31852

Li, D., Cao, H. & Chen, X., Fuzzy Control of Milling Chatter with Piezoelectric Actuators Embedded to the Tool Holder, Mech. Syst. Signal Process., 148, 107190, 2021.

Sonief, A.A., Fauzan, A.N., Azlan, F., & Bashori, M.A., Chatter Vibration Comparison between Normal Helix Angle and Variable Helix Angle in End Milling Process Based on Spectrum Analysis, Jurnal Rekayasa Mesin, 11(3), pp. 531-536, 2020. DOI: 10.21776/ub.jrm.2020.011.03.25

David, K., Sagris, D., Stergianni, E., Tsiafis, C. & Tsiafis, I., Experimental Analysis of the Effect of Vibration Phenomena on Workpiece Topomorphy due to Cutter Runout in End-Milling Process, Machines, 6, 27, Jul. (2018).

Shaik, J.H. & S.J, Optimal Selection of Operating Parameters in end Milling of Al-6061 Work Materials Using Multi-Objective Approach, Mech. Adv. Mater. Mod. Process., 3(1), 5, 2017.

Rahman, M.A., Ali, M.Y. & Khairuddin, A.S., Effects on Vibration and Surface Roughness in High-Speed Micro End-Milling of Inconel 718 with Minimum Quantity Lubrication, IOP Conf. Ser. Mater. Sci. Eng., 184, 12037, 2017.

Tran, M.Q. & Liu, M.K., Chatter Identification in End Milling Process Based on Cutting Force Signal Processing, IOP Conf. Ser. Mater. Sci. Eng., 654, 12001, 2019.

Ince, M. A. & Asiltk, ?., Effects of Cutting Tool Parameters on Vibration, MATEC Web Conf., 77, 2016.

Bhogal, S.S., Sindhu, C., Dhami, S.S. & Pabla, B.S. Minimization of Surface Roughness and Tool Vibration in CNC Milling Operation, J. Optim., 2015, 192030, 2015.

Mahmood, Z. (Ed.), The Internet of Things in the Industrial Sector Security and Device Connectivity, Smart Environments, an Industry 4.0., Springer, 2019.

Skilton, M. & Felix, H., The 4th Industrial Revolution: Responding to the Impact of Artificial Intelligence on Business. Springer, 2017.

Soh, P.J., Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends. IEEE Microwave Magazine, 16(4), pp. 55-70, 2015.

Shahriar, S., Rahaman, I., Karim, A.B., Hasan, M.M., Chowdhury, F., & Sarker, M., Bridging Internet of Things and Wireless Sensor Networks: Applications and Challenges, Indonesian Journal of Computing, Engineering and Design (IJoCED), 2(1), 13, 2020. DOI: 10.35806/ijoced.v2i1.99.

Kushendarsyah, S. & Sathyan, S., Orthogonal Microcutting of Thin Workpieces, Journal of Manufacturing Science and Engineering, 135(3), 031004, 2013. DOI: 10.1115/1.4023710.

Hilmani, A., Maizate, A., & Hassouni, L., Designing and Managing a Smart Parking System Using Wireless Sensor Networks, Journal of Sensor and Actuator Networks, 7(2), 24, 2018. DOI: 10.3390/jsan7020024.

Wagh, S.S., More, A. & Kharote, P.R., Performance Evaluation of IEEE 802.15.4 Protocol under Coexistence of WiFi 802.11b, Procedia Comput. Sci., 57, pp. 745-751, 2015.

Olasupo, T.O., Otero, C.E., Otero, L.D., Olasupo, K.O. & Kostanic, I., Path Loss Models for Low-Power, Low-Data Rate Sensor Nodes for Smart Car Parking Systems, IEEE Trans. Intell. Transp. Syst., 19, pp. 1774-1783, 2018.

Shuaib, K., Alnuaimi, M., Boulmalf, M., Jawhar, I., Sallabi, F. & Lakas, A., Performance Evaluation of IEEE 802.15.4: Experimental and Simulation Results, J. Commun., 2, pp, 29-37, 2007.

Moehring, H.C, Werkle, K. & Maier, W., Process Monitoring with a Cyber-Physical Cutting Tool, Procedia CIRP, 93, pp.1466?1471, 2020. DOI: 10.1016/j.procir.2020.03.034.

Ahmad, M.I., Saif, Y. & Yusof, Y., A Case Study: Monitoring and Inspection Based on IoT for Milling Process. Int J Adv Manuf Technol 118, pp. 1305-1315, 2022. DOI: 10.1007/s00170-021-07970-y.

Azmi, F. N., Saptaji, K. & Fikri, M. R., Construction of Vibration Monitoring System Based on Wireless Sensor Network (WSN) for Machining Process, IOP Conference Series: Materials Science and Engineering, 1098(6), 062094, 2021. DOI: 10.1088/1757-899x/1098/ 6/062094




How to Cite

Fikri, M. R., Saptaji, K. ., & Azmi, F. N. (2022). Wireless Vibration Monitoring System for Milling Process. Journal of ICT Research and Applications, 16(1), 38-55. https://doi.org/10.5614/itbj.ict.res.appl.2022.16.1.3