Taguchi Design of Experiment in the Optimization of Tool Life in Turning Process of Duplex Stainless Steel DSS

Abstract:

The paper presents the contribution in methodology of production processes of difficulty to cut materials particularly in optimization method of Duplex Stainless Steels (DSS). In this work, Design of Experiment (DOE) is used to examine turning experimental data. The DOE, based on the Taguchi method with orthogonal array L₉ and signal-to-noise ratio are used. The optimal values of the technological cutting parameters with coated carbide tool point are searched. ANOVA analysis was performed to determine the signification of machining parameters. The significance of various cutting parameters on tool life have been proven. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

• Periodical: Applied Mechanics and Materials (Volumes 809-810)
• Pages: 189-194
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.809-810.189
• Online since: November 2015
• Authors: Grzegorz Królczyk*, Andrzej Metelski, W. Radoslaw Maruda, Stanisław Legutko
• Keywords: ANOVA, Duplex Stainless Steel, Optimization, Taguchi Method, Tool Life

References

[1] G.M. Krolczyk, S. Legutko, Experimental analysis by measurement of surface roughness variations in turning process of duplex stainless steel, Metrology and Measurement Systems. XXI, 4 (2014) 759–770.

DOI: 10.2478/mms-2014-0060

[2] G.M. Krolczyk, P. Nieslony, S. Legutko, Determination of tool life and research wear during duplex stainless steel turning, Archives of Civil and Mechanical Engineering. 15, 2 (2015) 347 – 354.

DOI: 10.1016/j.acme.2014.05.001

[3] T. Galeta, G. Simunovic, M. Mazurek, Impact of strengthening fluids on roughness of 3D printed models, Metalurgija. 54, 1 (2015) 231-234.

[4] J. Novak-Marcincin, J. Torok, L. Novakova-Marcincinova, J. Barna, M. Janak, Use of alternative scanning devices for creation of 3D models of machine parts, Tehnicki Vjesnik. 21, 1 (2014) 177-181.

DOI: 10.1109/coginfocom.2012.6421957

[5] I. Gajdos, J. Slota, Influence of printing conditions on structure in FDM prototypes, Tehnicki Vjesnik. 20, 2 (2013) 231-236.

[6] J. Jozwik, P. Piesko, G. Krajewski, Evaluation of QC10 ball bar diagnostics method for CNC machine, Eksploatacja i Niezawodnosc – Maintenance and Reliability. 47, 3 (2010) 10-20.

[7] A. Glowacz, Diagnostics of direct current machine based on analysis of acoustic signals with the use of symlet wavelet transform and modified classifier based on words, Eksploatacja i Niezawodnosc-Maintenance and Reliability. 16, 4 (2014) 554-558.

[8] A. Glowacz, A. Glowacz, P. Korohoda, Recognition of monochrome thermal images of synchronous motor with the application of binarization and nearest mean classifier, Archives of Metallurgy and Materials. 59, 1 (2014) 31-34.

DOI: 10.2478/amm-2014-0005

[9] R.D. Koyee, R. Eisseler, S. Schmauder, Application of Taguchi coupled Fuzzy Multi Attribute Decision Making (FMADM) for optimizing surface quality in turning austenitic and duplex stainless steels, Measurement. 58 (2014) 375-386.

DOI: 10.1016/j.measurement.2014.09.015

[10] R.D. Koyee, U. Heisel, R. Eisseler, S. Schmauder, Modeling and optimization of turning duplex stainless steels, Journal of Manufacturing Processes. 16, 4 (2014) 451-467.

DOI: 10.1016/j.jmapro.2014.05.004

[11] M. Thiyagu, L. Karunamoorthy, N. Arunkumar, Experimental Studies in Machining Duplex Stainless Steel using Response Surface Methodology, International Journal of Mechanical & Mechatronics Engineering. 14, 3 (2014) 48-61.

[12] G. Taguchi, S. Konishi, Taguchi Methods, orthogonal arrays and linear graphs, tools for quality American supplier institute, American Suplier Institute. 1987, 8 - 35.

[13] R.K. Roy, Design of experiments using the Taguchi approach: 16 steps to product and process improvement, John Wiley & Sons, (2001).

[14] D. Fratilia, C. Caizar, Application of Taguchi method to selection of optimal lubrication and cutting conditions in face miling of AIMg3, Journal of Cleaner Production. 19 (2011) 640 – 645.

DOI: 10.1016/j.jclepro.2010.12.007

[15] M. Saricaya, A. Gullu, Taguchi design and response surface methodology based analysis of machining parameters in CNC turning under MQL, Journal of Cleaner Production. 65 (2014) 604 – 616.

DOI: 10.1016/j.jclepro.2013.08.040

[16] A. Cicek, T. Kivak, G. Samtas, Application of Taguchi method for surface roughness and roundness terror in drilling of AISI 316 stainless steel, Journal of Mechanical Engineering. 58, 3 (2012) 165 -174.

DOI: 10.5545/sv-jme.2011.167

[17] R.K. Roy, A primer on the Taguchi method, Society of Manufacturing Engineers, (2010).