Analysis of Influence of Spindle Speed and Feeding Speed to Tool Wear and Surface Roughness

Authors

  • D.L Zariatin

DOI:

https://doi.org/10.22219/jemmme.v1i1.4480

Abstract

One of the problem in metal cutting is tool wear. Its close relation to the expected tool life and quality of product, make tool wear become object of investigation. Eventough tool manufacturers always give recommendation on machining parameter, but they don't share the information on tool wear estimation. Some theory on tool wear has been proposed, but still need verification thru experimental works to determine parameters and constants of tool life typical to machine tool condition and machining process. In this research, experimental work and analysis of the influence of spindle speed (n, rpm), feeding speed (Vf, mm/min) and depth of cut (ap, mm)to surface roughness and tool wear on milling process using carbide ballnose with diameter of 10 mm on Al-7075 had been conducted. From the experiment, it can be concluded that tool wear has influence on surface roughness of product. Tool wear could be minimized by choosing optimum spindle speed and feeding speed.

Downloads

Download data is not yet available.

References

S. Rawangwong, J. Chatthong, R. Burapa and W. Boonchouytan, "An Investigation of Optimum Cutting Conditions in Face Milling Semi-Solid AA 7075 Using Carbide Tool," International Journal of Innovation, Management and Technology, vol. 36, 2012.

R. Kumar, S. Kumar and S. Das, "Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite," Internation Journal Advance Manufacturing Technology, vol. 50, no. 5, pp. 459-469, 2010.

N. Agarwal, "Surface Roughness Modeling with Machining Parameters (Speed, Feed & Depth of Cut) in CNC Milling," MIT INternational Journal of Mechanical Engineering, vol. 2, no. 1, pp. 55-61, 2012.

A. M. Khorasani, M. R. S. Yazdi and M. S. Safizadeh, "Tool life prediciton in face milling machining of 7075 by using artificial neural networks (ANN) and Taguchi Design of Experiment (DOE)," IACSIT International Journal of Engineering and Technology, vol. 3, no. 1, pp. 30-35, 2011.

H. Oktem, T. Erzurumlu and M. Col, "A study of the Taguchi optimization method for surface roughness in finish milling of mold surfaces," International Journal of Advance Manufacturing Technology, vol. 28, pp. 694-700, 2006.

A. Ansyori, "Pengaruh Kecepatan Potong dan Makan terhadap Umur Pahat pada Pemesinan Freis Paduan Magnesium," Jurnal Mechanical, vol. 6, no. 1, 2015.

Daniel, "Optimasi Parameter Pemesinan Proses CNC Freis terhadap Hasil Kekasaran Permukaan dan Keausan Pahat Menggunakan Metode Taguchi," Tugas Sarjana JurusanTeknik Mesin Universitas Diponegoro, 2009, 2009.

F. Klocke, Manufacturing Processes 1, Springer Heidelberg Dordrecht London New York: Springer, 2011.

V. Marinov, Manufacturing Process for Metal Product, Kendall Hunt Publishing, 2010.

A. Widiyatmoko, "Pengembangan Perangkat Pembelajaran IPA Fisika Dengan Pendekatan Physics-edutainment Berbantuan CD Pembelajaran Interaktif," Journal of Primary Education, vol. 1, 2012.

M. Prayito, "Pengembangan Perangkat Pembelajaran Matematika Humanistik Berbasis Konstruktivisme Berbantuan E-Learning Materi Segitiga Kelas VII," AKSIOMA, vol. 2, no. 2, 2012.

Downloads

Published

2017-07-17

How to Cite

Zariatin, D. (2017). Analysis of Influence of Spindle Speed and Feeding Speed to Tool Wear and Surface Roughness. Journal of Energy, Mechanical, Material, and Manufacturing Engineering, 1(1). https://doi.org/10.22219/jemmme.v1i1.4480

Issue

Vol. 1 No. 1 (2016)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.