The Experts below are selected from a list of 39 Experts worldwide ranked by ideXlab platform

Muammer Nalbant - One of the best experts on this subject based on the ideXlab platform.

  • the effects of cutting tool geometry and processing parameters on the surface roughness of aisi 1030 steel
    Materials & Design, 2007
    Co-Authors: Hasan Gokkaya, Muammer Nalbant
    Abstract:

    In this study, we have investigated the effects of different insert radii of cutting tools, different depths of cut and, different feed rates on the surface quality of the workpieces depending on various processing parameters. Properly, the AISI 1030 steel is processed at a digitally Controlled Computerised Numerical Control(CNC) turning lathe without using cooling water with three different insert radii (0.4, 0.8, and 1.2 mm) of cemented carbide cutting tools, coated with three layer coating materials (outermost is TiN) applied by the chemical vapour deposition CVD technique. The effects of five different depths of cut (0.5, 1, 1.5, 2, 2.5 mm) and five different feed rates/advancing steps (0.15, 0.2, 0.25, 0.30, 0.35 mm/rev) on the surface roughness values have been investigated by a turning process while from the cutting parameters the cutting speed is kept constant at (300 m/min). It is seen that the insert radius, feed rate, and depth of cut have different effects on the surface roughness. In the experiments, the minimum average surface roughness has been obtained using the cutting tools of maximum insert radius (1.2 mm). The surface roughness have been improved by 293% when the insert radius (0.4 mm) was increased by 200% (1.2 mm). When the feed rate (0.35 mm/rev) was reduced by 133% (0.15 mm/rev), the surface roughness have been improved by 313%, and by reducing the depth of cut (0.5 mm) by 400% (0.25 mm), an amelioration of 23% has been obtained on the surface roughness.

Hasan Gokkaya - One of the best experts on this subject based on the ideXlab platform.

  • the effects of cutting tool geometry and processing parameters on the surface roughness of aisi 1030 steel
    Materials & Design, 2007
    Co-Authors: Hasan Gokkaya, Muammer Nalbant
    Abstract:

    In this study, we have investigated the effects of different insert radii of cutting tools, different depths of cut and, different feed rates on the surface quality of the workpieces depending on various processing parameters. Properly, the AISI 1030 steel is processed at a digitally Controlled Computerised Numerical Control(CNC) turning lathe without using cooling water with three different insert radii (0.4, 0.8, and 1.2 mm) of cemented carbide cutting tools, coated with three layer coating materials (outermost is TiN) applied by the chemical vapour deposition CVD technique. The effects of five different depths of cut (0.5, 1, 1.5, 2, 2.5 mm) and five different feed rates/advancing steps (0.15, 0.2, 0.25, 0.30, 0.35 mm/rev) on the surface roughness values have been investigated by a turning process while from the cutting parameters the cutting speed is kept constant at (300 m/min). It is seen that the insert radius, feed rate, and depth of cut have different effects on the surface roughness. In the experiments, the minimum average surface roughness has been obtained using the cutting tools of maximum insert radius (1.2 mm). The surface roughness have been improved by 293% when the insert radius (0.4 mm) was increased by 200% (1.2 mm). When the feed rate (0.35 mm/rev) was reduced by 133% (0.15 mm/rev), the surface roughness have been improved by 313%, and by reducing the depth of cut (0.5 mm) by 400% (0.25 mm), an amelioration of 23% has been obtained on the surface roughness.

Tzeng Yih-fong - One of the best experts on this subject based on the ideXlab platform.

  • Parameter design optimisation of Computerised Numerical Control turning tool steels for high dimensional precision and accuracy
    'Elsevier BV', 2014
    Co-Authors: Tzeng Yih-fong
    Abstract:

    [[abstract]]Dimensional precision and accuracy are often the most important quality characteristics demanded in the turning process. In this paper, a set of optimal turning parameters for producing high dimensional precision and accuracy in the Computerised Numerical Control turning process was developed. Taguchi dynamic approach coupled with a proposed ideal function model, was applied to optimise eight Control factors for common tool steels SKD-11 and SKD-61. The Control factors were coolant, cutting speed, feed, depth of cut, coating type, chipbreaker geometry, nose radius and shape of the insert, which were designed in a L18 orthogonal array and carried out in the experiments. The results showed that the factors associated with the cutting tool and feed had the most significant effects on the dimensional variation of the test piece. Once the eight factors were optimised, the dimensional variation of the product was reduced by 45.61% of the initial conditions and the dimensional accuracy of the product could be adjusted to a more ideal final value. Further, the average surface roughness of the optimised product was found to be better than most of the L18 experimental results and from the initial machining conditions. This indicated that the combined optimised process factors not only produced optimised dimensional precision and accuracy, it also resulted in improved surface roughness

  • A hybrid approach to optimise multiple performance characteristics of high-speed Computerised Numerical Control milling tool steels
    'Elsevier BV', 2014
    Co-Authors: Tzeng Yih-fong
    Abstract:

    [[abstract]]The paper presents the application of Taguchi methods coupled with principal component analysis in the process optimisation of the high-speed Computerised Numerical Control (CNC) milling tool steels SKD-11 and SKD-61. A set of optimal process conditions for producing the best dimensional precision and accuracy, surface roughness, and tool wear is developed. The selected Control factors are milling type, cutting speed, feed per tooth, film material, tool material, number of teeth, rake angle, and helix angle, which are designed in a L18 orthogonal array and carried out in the experiments. According to experimental results, the optimal process conditions for the high-speed CNC milling process can be determined as A1 (down-milling), B1 (cutting speed 150 m/min), C2 (feed per tooth 0.04 mm/tooth), D3 (film material TiAlN), E2 (tool material K20), F3 (number of teeth 4), G1 (rake angle 4°), and H1 (helix angle 30°). In addition, the analysis of variance (ANOVA) is also employed to identify the factor A (milling type), factor B (cutting speed), and factor D (film material) as the most important parameters, which account for 68.4% of the process variance. The other factors are found to have relatively weaker impacts on the process design. Furthermore, a confirmation experiment of the optimal process shows that the aforesaid multiple performance characteristics are optimised to achieve the best levels

Nalbant M. - One of the best experts on this subject based on the ideXlab platform.

  • The effects of cutting tool geometry and processing parameters on the surface roughness of AISI 1030 steel
    'Elsevier BV', 2007
    Co-Authors: Gökkaya H., Nalbant M.
    Abstract:

    In this study, we have investigated the effects of different insert radii of cutting tools, different depths of cut and, different feed rates on the surface quality of the workpieces depending on various processing parameters. Properly, the AISI 1030 steel is processed at a digitally Controlled Computerised Numerical Control(CNC) turning lathe without using cooling water with three different insert radii (0.4, 0.8, and 1.2 mm) of cemented carbide cutting tools, coated with three layer coating materials (outermost is TiN) applied by the chemical vapour deposition CVD technique. The effects of five different depths of cut (0.5, 1, 1.5, 2, 2.5 mm) and five different feed rates/advancing steps (0.15, 0.2, 0.25, 0.30, 0.35 mm/rev) on the surface roughness values have been investigated by a turning process while from the cutting parameters the cutting speed is kept constant at (300 m/min). It is seen that the insert radius, feed rate, and depth of cut have different effects on the surface roughness. In the experiments, the minimum average surface roughness has been obtained using the cutting tools of maximum insert radius (1.2 mm). The surface roughness have been improved by 293% when the insert radius (0.4 mm) was increased by 200% (1.2 mm). When the feed rate (0.35 mm/rev) was reduced by 133% (0.15 mm/rev), the surface roughness have been improved by 313%, and by reducing the depth of cut (0.5 mm) by 400% (0.25 mm), an amelioration of 23% has been obtained on the surface roughness. © 2005 Elsevier Ltd. All rights reserved

Gökkaya H. - One of the best experts on this subject based on the ideXlab platform.

  • The effects of cutting tool geometry and processing parameters on the surface roughness of AISI 1030 steel
    'Elsevier BV', 2007
    Co-Authors: Gökkaya H., Nalbant M.
    Abstract:

    In this study, we have investigated the effects of different insert radii of cutting tools, different depths of cut and, different feed rates on the surface quality of the workpieces depending on various processing parameters. Properly, the AISI 1030 steel is processed at a digitally Controlled Computerised Numerical Control(CNC) turning lathe without using cooling water with three different insert radii (0.4, 0.8, and 1.2 mm) of cemented carbide cutting tools, coated with three layer coating materials (outermost is TiN) applied by the chemical vapour deposition CVD technique. The effects of five different depths of cut (0.5, 1, 1.5, 2, 2.5 mm) and five different feed rates/advancing steps (0.15, 0.2, 0.25, 0.30, 0.35 mm/rev) on the surface roughness values have been investigated by a turning process while from the cutting parameters the cutting speed is kept constant at (300 m/min). It is seen that the insert radius, feed rate, and depth of cut have different effects on the surface roughness. In the experiments, the minimum average surface roughness has been obtained using the cutting tools of maximum insert radius (1.2 mm). The surface roughness have been improved by 293% when the insert radius (0.4 mm) was increased by 200% (1.2 mm). When the feed rate (0.35 mm/rev) was reduced by 133% (0.15 mm/rev), the surface roughness have been improved by 313%, and by reducing the depth of cut (0.5 mm) by 400% (0.25 mm), an amelioration of 23% has been obtained on the surface roughness. © 2005 Elsevier Ltd. All rights reserved