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On-line wear characterization of TiN- and CrN-coated DIN115CrV3 steel for cutting tools application

Oteyaka M. O., Yildirim M. M., Cakan C.

Archives of Materials Science and Engineering

2014

Vol. 65, nr 1

24--31

Purpose: This study compares the material removal performance of hardened steels DIN 115CrV3 coated with TiN and CrN using PVD method. Design/methodology/approach: New on-line monitoring wear system, thermal imager, and weight loss method were used to analyze to quantify and compare with uncoated tools. Findings: The results of abrasive wear experiments showed that weight loss increased with an increase in load applied for all tools. The microstructure and chemical analysis of each of the three tools showed some traces of abrasion and galling of Manganium from the workpiece. During abrasion test, thermal imager showed lower heating on the CrN coated tools. On-line wear analysis results show that at the low cutting speed (18 m/min), TiN-coated tools performed a higher wear resistance compared to rivals while at higher cutting speed CrN slightly show superior efficiency. The microstructure analysis of the tools confirmed fracture and galling on each of the tools. Research limitations/implications: For future work, ceramic nano-coating on cutting tools can provide better wear resistance than ceramic micro coating. Practical implications: Involve to use cheaper tools with higher mechanical properties. Usually, the cutting tools made from ceramic coating show an adequate level of wear resistance against the workpiece. Those tools ,with the limited processing, can be used for machining soft steels. Originality/value: New on-line method and thermal imager used in this study and for the first time DIN 115CrV3 was evaluated as cutting tools.

Infinite matrices and σ-core

Çoşkun H., Cakan C.

Demonstratio Mathematica

2001

Vol. 34, nr 4

825-830

The object of this paper is to obtain the necessary and sufficient conditions characterizing the class (V, Va)reg of infinite matrices and to determine a class of (V,Va)reg- matrices for which qa(Ax) <: q(x) for all należy do m.