INVESTIGATION OF THE EFFECTS OF TOOL WEAR ON TEMPERATURE AND SURFACE ROUGHNESS VALUE IN THE DIN 1.2343 MATERIAL MACHINING


Özet Görüntüleme: 14 / PDF İndirme: 9

Yazarlar

  • Abidin ŞAHİNOĞLU Çankırı Karatekin University, Department of Mechanical and Metal Technologies, Çankırı, Türkiye

Anahtar Kelimeler:

DIN 1.2343, hard turning, tool wear, surface roughness

Özet

Turning of materials above 45 HRC Hardness is defined as hard turning. After the workpiece material
is hardened by heat treatment, abrasion resistance increases according to the place of use. But
hardening materials are very difficult for machining. Hard turning is also a finish turning process.
Therefore, it must have very good surface quality. Good surface quality and low tool wear are
desirable during the hard turning. Thus, the reduces frictional losses. In this experimental study, the
material of DIN 1.2343 is machined with a hard metal insert. Wear of the tools formed during
machining; temperature, sound intensity and surface roughness values were investigated. Accordingly
experimental result, the amount of wear increases, the sound intensity increases, the surface roughness
value deteriorates and the temperature increases.

Referanslar

Newman, S. T., Nassehi, A., Imani-Asrai, R. & Dhokia, V. Energy efficient process planning for

CNC machining. CIRP J. Manuf. Sci. Technol. (2012). doi:10.1016/j.cirpj.2012.03.007

Mori, M., Fujishima, M., Inamasu, Y. & Oda, Y. A study on energy efficiency improvement for

machine tools. CIRP Ann. - Manuf. Technol. (2011). doi:10.1016/j.cirp.2011.03.099

Kant, G. & Sangwan, K. S. Prediction and optimization of machining parameters for minimizing

power consumption and surface roughness in machining. J. Clean. Prod. (2014).

doi:10.1016/j.jclepro.2014.07.073

Zhao, G. Y., Liu, Z. Y., He, Y., Cao, H. J. & Guo, Y. B. Energy consumption in machining:

Classification, prediction, and reduction strategy. Energy (2017). doi:10.1016/j.energy.2017.05.110

Zhou, L. et al. Energy consumption model and energy efficiency of machine tools: A

comprehensive literature review. Journal of Cleaner Production (2016).

doi:10.1016/j.jclepro.2015.05.093

Balogun, V. A. & Mativenga, P. T. Modelling of direct energy requirements in mechanical

machining processes. J. Clean. Prod. (2013). doi:10.1016/j.jclepro.2012.10.015

Behrendt, T., Zein, A. & Min, S. Development of an energy consumption monitoring procedure for

machine tools. CIRP Ann. - Manuf. Technol. (2012). doi:10.1016/j.cirp.2012.03.103

Peng, T. & Xu, X. Energy-efficient machining systems: A critical review. International Journal of

Advanced Manufacturing Technology (2014). doi:10.1007/s00170-014-5756-0

Kumar, R. & Chauhan, S. Study on surface roughness measurement for turning of Al 7075/10/SiCp

and Al 7075 hybrid composites by using response surface methodology (RSM) and artificial neural

networking (ANN). Meas. J. Int. Meas. Confed. (2015). doi:10.1016/j.measurement.2015.01.003

Sharma, V. S., Dhiman, S., Sehgal, R. & Sharma, S. K. Estimation of cutting forces and surface

roughness for hard turning using neural networks. J. Intell. Manuf. (2008). doi:10.1007/s10845-

-0097-1

Lalwani, D. I., Mehta, N. K. & Jain, P. K. Experimental investigations of cutting parameters

influence on cutting forces and surface roughness in finish hard turning of MDN250 steel. J. Mater.

Process. Technol. (2008). doi:10.1016/j.jmatprotec.2007.12.018

Nalbant, M., Gökkaya, H. & Sur, G. Application of Taguchi method in the optimization of cutting

parameters for surface roughness in turning. Mater. Des. (2007). doi:10.1016/j.matdes.2006.01.008

Özel, T., Hsu, T. K. & Zeren, E. Effects of cutting edge geometry, workpiece hardness, feed rate

and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel. Int.

J. Adv. Manuf. Technol. (2005). doi:10.1007/s00170-003-1878-5

Hessainia, Z., Belbah, A., Yallese, M. A., Mabrouki, T. & Rigal, J. F. On the prediction of surface

roughness in the hard turning based on cutting parameters and tool vibrations. Meas. J. Int. Meas.

Confed. (2013). doi:10.1016/j.measurement.2012.12.016

Yayınlanmış

15.12.2019

Nasıl Atıf Yapılır

ŞAHİNOĞLU, A. (2019). INVESTIGATION OF THE EFFECTS OF TOOL WEAR ON TEMPERATURE AND SURFACE ROUGHNESS VALUE IN THE DIN 1.2343 MATERIAL MACHINING. Euroasia Journal of Mathematics, Engineering, Natural & Medical Sciences, 6(7), 28–32. Geliş tarihi gönderen https://euroasiajournal.org/index.php/ejas/article/view/464

Sayı

Bölüm

Makaleler