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Author

Necip Camuşcu

Bio: Necip Camuşcu is an academic researcher from Kırıkkale University. The author has contributed to research in topics: Tool steel & Ceramic. The author has an hindex of 5, co-authored 6 publications receiving 452 citations.
Topics: Tool steel, Ceramic, Cermet, Tool wear, Cutting tool

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the effect of three cutting parameters, namely cutting speed, feed rate and depth of cut on two performance measures, flank wear (VB) and surface roughness (Ra), and determined the relationship between the parameters and the performance measures using multiple linear regression.

223 citations

Journal ArticleDOI
TL;DR: In this article, the relationship between vibration and tool wear was investigated during end milling using an acceleration sensor assembled on a machinery analyzer, and the measurements were taken by using an accelerometer and a toolmaker's microscope.
Abstract: In this study, the relationship between vibration and tool wear was investigated during end milling. For this purpose, a series of experiment were conducted in a vertical milling machine. An indexable CBN insert and AISI D3 cold work tool steel hardened to 35 HRC were used as material twin in the experiments. The vibration was measured only in the machining direction, which has more dominant signals than in the other two directions. The measurements were taken by using an acceleration sensor assembled on a machinery analyzer. Tool wear was measured by a toolmaker's microscope. It was observed that there was an increase in vibration amplitude with increasing tool wears. This situation was evident especially by monitoring vibration of displacement type. It was also observed that the first three multiplies of tooth passing frequency (1×, 2×, 3×) gave the best information about the tool wear. Results showed that there was no considerable increase in the vibration amplitude until a flank wear value of 160 μm was reached, above which the vibration amplitude increased significantly.

119 citations

Journal ArticleDOI
TL;DR: In this paper, a thermal analysis model is developed to determine temperature distribution in orthogonal metal cutting using finite elements method, which calculates the temperature distribution as a function of heat generation.

68 citations

Journal ArticleDOI
TL;DR: In this article, the effect of cutting speed in turning nodular cast iron with alumina (Al2O3) based ceramic tools was investigated, and the results showed that tool performance was evaluated with respect to tool wear, surface finish produced and cutting forces generated during turning.

44 citations

Journal ArticleDOI
TL;DR: In this article, high speed end milling of AISI D3 cold-work tool steel hardened to 35 RC was investigated using coated carbide, coated cermet, alumina (Al 2 O 3 ) based mixed ceramic and cubic boron nitride (CBN) cutting tools.

39 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed.
Abstract: Nickel-based superalloy is widely employed in aircraft engines and the hot end components of various types of gas turbines with its high strength, strong corrosion resistance and excellent thermal fatigue properties and thermal stability. However, nickel-based superalloy is one of the extremely difficult-to-cut materials. During the machining process, the interaction between the tool and the workpiece causes the severe plastic deformation in the local area of workpiece, and the intense friction at the tool–workpiece interface. The resulting cutting heat coupled with the serious work hardening leads to a series of flaws, such as excessive tool wear, frequent tool change, short tool life, low productivity, and large amount of power consumption etc., in which the excessive tool wear has become one of the main bottlenecks that constraints the machinability of nickel-based superalloys and its wide range of applications. In this article, attention is mainly focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed. The survey of existing works has revealed several gaps in the aspects of tool self-organizing process based on the non-equilibrium thermodynamics, tool wear considering the tool nose radius, thermal diffusion layer in coated tools, tool life prediction based on the thermal–mechanical coupling, and industrial application of tool wear online monitoring devices. The review aims at providing an insight into the tool wear characteristics in the machining of nickel-based superalloys and shows the great potential for further investigations and innovation in the field of tool wear.

409 citations

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TL;DR: In this paper, the authors used the L9 orthogonal array in a CNC turning machine to optimize turning parameters based on the Taguchi method to minimize surface roughness (Ra and Rz).

408 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method and found the degree of influence for each controllable process factor onto individual quality targets.

321 citations

Journal Article
TL;DR: In this article, the T aguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel, and the results match closely with ANOV A and cutting speed is most influencing parameter.
Abstract: In this paper , T aguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel. A L 18 array , signal-to-noise ratio and analysis of variance (ANOV A) are applied to study performance characteristics of machining parameters (cutting speed, feed, depth of cut and width of cut) with consideration of surface finish and tool life. Chipping and adhesion are observed to be main causes of wear . Results obtained by T aguchi method match closely with ANOV A and cutting speed is most influencing parameter . Multiple regression equations are formulated for estimating predicted values of surface roughness and tool wear

237 citations

Journal ArticleDOI
TL;DR: In this article, the authors present an effort to review some of these works and to understand the key issues related to process performance, including the type of tool material, cutting edge geometry and cutting parameters.
Abstract: Hard turning is gaining grounds for machining hardened steels as it has several benefits over grinding. There are several issues, which should be understood and dealt with, to achieve successful performance of the process. Researchers have worked upon several aspects related to hard turning. The present work is an effort to review some of these works and to understand the key issues related to process performance. The review shows that the type of tool material, cutting edge geometry and cutting parameters affect the process efficiencies in terms of tool forces, surface integrities integrity, and white layer. Adequate machine rigidity is a must essential to minimize the process inaccuracies. Also moreover, for finish hard turning, where the depth of cut is less than the nose radius of the tool, the forces deviate from the conventional trends as the radial force component is the maximum and axial force component becomes minimum. The present work finally lists down certain areas that can be taken up for further research in hard turning.

234 citations