Results 251 to 260 of about 5,231 (303)
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Flank wear measurement by successive image analysis
Computers in Industry, 2005In this paper, a system based on successive image analysis is proposed for periodic measurement of flank wear in milling. The successive images are captured while the spindle is rotating. The blur of the moving images is minimized by the use of a high-speed camera and low spindle speed during the image capture. A method based on image series to measure
Y S Wong, Geok Soon Hong
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Topography of the flank wear surface
Journal of Materials Processing Technology, 2002Abstract In many applications, topography represents the main external features of a surface. This paper describes the topography of the flank wear surface and also presents the relationship between the maximum flank wear and the topography parameters (roughness parameters) of the flank wear surface during the turning operation.
Francis E H Tay, M A Mannan
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Flank wear of multi-layer coated tool
Wear, 2011Abstract Flank wear analysis on the multi-layer (TiCN/Al 2 O 3 /TiCN) coated carbide inserts has been performed after turning AISI 1045 steel. Using advanced microscope and image processing techniques including wavelet transform, we have obtained the flank wear profiles and analyzed the surface roughness and groove sizes on the coating layers to ...
Kyung-Hee Park, Patrick Kwon
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Analysis of Tool Wear: Part II: Applications of Flank Wear Models
For machining with cemented carbides and ceramics, a quantitative assessment of tool failure at the flank for establishing “limit criterion” is necessary. The arbitrarily chosen flank wear limit for all cutting speeds is not valid at higher cutting speeds because of the earlier appearance of the “inflection point” which is often taken as criterion of ...
A. Bhattacharyya, A. Ghosh, Inyong Ham
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Flank Wear of Multi-Layer Coated Tool and Wear Prediction Using Abrasion Wear Model
In this paper, we have combined experimental and numerical approaches to understand the flank wear and its evolution of the multi-layer (TiCN/Al2O3/TiCN) coated carbide insert after continuous turning of AISI 1045 steels. In addition using advanced microscope techniques such as scanning electron microscope, confocal laser scanning microscope, etc., we ...
Kyung-Hee Park, Patrick Y. Kwon
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The effect of tool flank wear on the orthogonal cutting process and its practical implications
A mechanics of cutting analysis for orthogonal cutting with tool flank wear is presented based on an experimental investigation. It shows that tool flank wear does not statistically affect the basic cutting quantities such as the shear angle and shear ...
Jun Wang
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Flank wear modeling in milling
Journal of Mechanical Working Technology, 1989Abstract This paper proposes a model for the growth of flank wear in milling. It incorporates the predominant mechanisms of wear which are abrasion and diffusion and also accounts for thermal fatigue and the effect of the number of teeth. The results obtained are compared to actual data and are shown to be in good agreement.
T.A. Papazafiriou, M.A. Elbestawi
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3D FEM Simulation of Flank Wear in Turning
AIP Conference Proceedings, 2011This work deals with tool wear simulation. Studying the influence of tool wear on tool life, tool substitution policy and influence on final part quality, surface integrity, cutting forces and power consumption it is important to reduce the global process costs.
ATTANASIO, Aldo +2 more
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Modeling of Flank Wear Using ANFIS
Proceedings of the Fourth International Conference on Engineering & MIS 2018, 2018This paper presents the modeling of Flank Wear of machining hot work tool steel (AISI H11) with ceramic tools. This work determined the effect of various cutting parameters:cutting speed, feed rate, depth of cut and nose radius on Flank Wear. Two models have been proposed, the first model is Taguchi method and the second one is adaptive neuro-fuzzy ...
Khaled Zid +2 more
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Predicting Surface Roughness and Flank Wear in Turning Processes
2020 IEEE International Conference on Prognostics and Health Management (ICPHM), 2020In advanced manufacturing, the tool quality is critical to ensure the product quality, and thus needs to be closely monitored. However, directly measuring the tool quality can be time-consuming and impractical for continuous manufacturing. In this work, leveraging on the Internet of Things (IoT) infrastructure and machine learning techniques, two ...
Nhu Khue Vuong +4 more
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