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SETSCI - Volume 1 (2017)
ISMSIT2017 - International Symposium on Multidisciplinary Studies and Innovative Technologies, Tokat, Turkey, Dec 02, 2017

Optimization of Surface Roughness in Turning of 1.2344 Hot Work Tool Steel (ISMSIT2017_81)
Barış Özlü1*, Mahir Akgün2, Hasan Basri Ulaş3, Halil Demir4
1Aksaray University, Aksaray, Turkey
2Aksaray University, Aksaray, Turkey
3Gazi University, Ankara, Turkey
4Karabük University, Karabük, Turkey
* Corresponding author: barisozlu@aksaray.edu.tr
Published Date: 2017-12-08   |   Page (s): 354-357   |    426     16

ABSTRACT In the present study, the effects of cutting parameters on surface roughness were investigated in order to determine the optimum machining conditions for the hot work tool steel (155 HB), which is an important part of the mold industry. For this purpose, the machining tests were conducted on 1.2344 steel using a CNC turning center under dry cutting conditions. The experimental design was performed according to Taguchi's L9 orthogonal array at three different levels which are cutting speeds (140, 180 and 220 m/min), feed rate (0.1, 0.15 and 0.2 mm/rev), and depth of cut (0.4, 0.8 and 1.2 mm). The effects of cutting parameters on surface roughness were determined through variance analysis (ANOVA). According to the obtained results, it was determined that the most effective parameter for the surface roughness is cutting speed (55.4%).  
KEYWORDS Hot work tool steel, surface roughness, Anova
REFERENCES [1] Arola, D., and Williams, C.L., “Estimating The Fatigue Stress Concentration Factor of Machined Surfaces”, International Journal of Fatigue, Volume:24, pp:923–930, 2002.

[2] Dagnal, H., “Exploring Surface Texture”, Rank Taylor Habson Limited, England, 1986.

[3] Wang, M.Y., and Chang H.Y., “Experimental Study of Surface Roughness in Slot End Milling”, International Journal of Machine Tools & Manufacture, Volume:44, pp:51–7, 2004.

[4] Suresh, P.V.S., Venkateswara Rao P., and Deshmukh S.G., “A Genetic Algorithmic Approach For Optimization of Surface Roughness Prediction Model”, International Journal of Machine Tools & Manufacture, Volume:42, pp:675–680, 2002.

[5] Ng E.G., Aspinwall D.K., Brazil D., Monaghan J., “Modelling of Temperature and Forces When Orthogonally Machining Hardened Steel”, International Journal of Machine Tools & Manufacture, Volume:39, pp:885–903, 1999.

[6] Shatla M., Kerk C., Altan T., “Process Modeling in Machining. Part I: Determination of Flow Stress Data”, International Journal of Machine Tools & Manufacture, Volume:41, PP:1511–1534, 2001.

[7] Çiftçi İ., “AISI 304 Ostenitik Paslanmaz Çeliğin Kaplanmış Sementit Karbür Kesici Takımla İşlenmesi Esnasında Oluşan Takım Aşınması”, Teknoloji, 7 (3), pp:489-495, 2004.

[8] Coldwell H., Woods R., Paul M., Koshy P., Dewes R., Aspinwall D., “Rapid Machining of Hardened AISI H13 and D2 Moulds, Dies and Press Tools”, Journal of Materials Processing Technology, Volume:135, pp:301–311, 2003.

[9] Taktak S., “Some Mechanical Properties of Borided AISI H13 and 304 Steels”, Materials and Design, Volume:28, pp:1836–1843, 2007.

[10] Zeyveli M., Demir H., Ulaş H. B., Güllü A., “Orvar Supreme Sicak İş Takim Çeliğinin İşlenebilirliğinin İncelenmesi”, 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), 2009.

[11] Zeyveli M., Demir H., “AISI H13 Sicak İş Takim Çeliğinin İşlenmesinde Yüzey Pürüzlülüğünün Deneysel İncelenmesi”, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Sayı25 (1-2), Sayfa: 251-261, 2009.

[12] ISO 3685, “Tool-life testing with single-point turning tools”, Sayfa :1- 12, 1993 .

[13] ISO 4288, “Geometrical Product Specifications (GPS) -Surface texture: Profile method-Rules and procedures for the assessment of surface texture”, Sayfa1-8, 1996.

[14] Taguchi, G., Chowdhury, S., Wu, Y., “Taguchi's Quality Engineering Handbook”, John Wiley & Sons, Inc., New Jersey, USA, 2005.

[15] Turgut E. and Dikici A., “Optimization of design parameters of Coaxial heat exchanger with Taguchi method”, 6th International Advanced Technologies Symposium (IATS’11), pp:278-281, 2011.

[16] Mandal N., Doloi B., Mondal B., Das R., “Optimization of flank wear using Zirconia Toughened Alumina (ZTA) cutting tool: Taguchi method and Regression analysis”, Measurement, volume:44, pp: 2149- 2155, 2011.

[17] Turgut E. and Dikici A., “Optimization of design parameters of Coaxial heat exchanger with Taguchi method”, 6th International Advanced Technologies Symposium (IATS’11), pp:278-281, 2011.

[18] Şirin E., Şirin Ş., Turgut Y., Korkut İ., “AISI D2 Soğuk İş Takım Çeliğinin Frezelenmesinde Yüzey Pürüzlülüğünün Taguchi Metodu İle Optimizasyonu”, Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 3, 132-144, 2015.

[19] Zeyveli M., Demir H., Ulaş H.B., Güllü A., “Orvar Supreme Sıcak İş Takım Çeliğinin İşlenebilirliğinin İncelenmesi”, 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), Karabük, Türkiye, 2009.

[20] Demir H., Ulaş H.B., Zeyveli M., “STAVAX ESR Çeliğinin Yüzey Pürüzlülüğü Ve Kesme Kuvvetleri Açısından Değerlendirilmesi”, 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09), Karabük, Türkiye, 2009.

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