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Vishal S. Sharma – One of the best experts on this subject based on the ideXlab platform.

  • sustainable machining of Aerospace Material ti grade 2 alloy modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity LubrLubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

  • Sustainable machining of Aerospace Material – Ti (grade-2) alloy: Modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity LubrLubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

Munish Kumar Gupta – One of the best experts on this subject based on the ideXlab platform.

  • sustainable machining of Aerospace Material ti grade 2 alloy modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

  • Sustainable machining of Aerospace Material – Ti (grade-2) alloy: Modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

Gurraj Singh – One of the best experts on this subject based on the ideXlab platform.

  • sustainable machining of Aerospace Material ti grade 2 alloy modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

  • Sustainable machining of Aerospace Material – Ti (grade-2) alloy: Modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

P. K. Sood – One of the best experts on this subject based on the ideXlab platform.

  • sustainable machining of Aerospace Material ti grade 2 alloy modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

  • Sustainable machining of Aerospace Material – Ti (grade-2) alloy: Modeling and optimization
    Journal of Cleaner Production, 2017
    Co-Authors: Munish Kumar Gupta, P. K. Sood, Gurraj Singh, Vishal S. Sharma
    Abstract:

    The application of sustainable techniques in the machining of Aerospace Materials is quite prominent for attaining viability with respect to economic and environmental aspects. The recently embraced method in the context of sustainable machining includes the application of MQL (Minimum Quantity Lubrication) technique. This article presents an experimental investigation, comparison of empirical and experimental results, complemented with a desirability optimization technique, for study the impact on cutting forces, surface roughness, tool wear, surface topography, micro-hardness and surface chemical composition in the turning of the Aerospace Material – titanium (grade-2) alloy considering MQL conditions. In order to achieve this aim, firstly, the turning experiments were performed under varying conditions of process parameters such as cutting speed, feed rate and approach angle by using response surface methodology (RSM). Then, the analysis of variance and regression analysis were considered to analyze the effect of machining parameters on selected responses. Further, the comparison of empirical and experimental results for cutting force components has been made by using Kienzle approach. In the end, the model validation is performed by comparing the analytical predicted results of cutting forces with experimental and desirability approach that are in good agreement. The investigations showed that turning at low cutting speeds (200 m/min), low feed rates (0.10 mm/rev) and high side cutting edge angle (90°) ensures the high quality of surface roughness, lower cutting forces, tool wear and micro-hardness.

S. Biju – One of the best experts on this subject based on the ideXlab platform.

  • Application of GRA and TOPSIS Optimization Techniques in GTA Welding of 15CDV6 Aerospace Material
    Transactions of the Indian Institute of Metals, 2018
    Co-Authors: L. Srinivasan, Khan Mohammad Chand, T. Deepan Bharathi Kannan, P. Sathiya, S. Biju
    Abstract:

    In this article, an attempt was made to optimize the welding parameters of gas tungsten arc welding of 15CDV6 steel. Experiments based on Taguchi’s L9 orthogonal array were carried out in this research paper. The input parameters such as current, voltage, travel speed were considered for joining 15CDV6 plates of thickness 3.7 mm. Aftermath, the welds were subjected to post weld heat treatment. The performance characteristics such as bead width, reinforcement, tensile strength, hardness and depth of penetration of the welds were also measured. Grey relational analysis (GRA) and technique for order preference by similarity to ideal solution method (TOPSIS) were used for identifying the optimised input parameters. Analysis of variance was used to identify the influence of each individual parameter on the multi-objective function. The metallurgical characterisations of the optimised weld were compared with the microstructures obtained using optical microscope. It was made clear that both GRA and TOPSIS produced different set of optimized parameters. But on experimentation, it was found that optimized parameters obtained from TOPSIS produced weld with better properties. At the initial stage, the base metal reflected inferior properties to weldments but there was a significant improvement in the properties of base metal after post weld heat treatment.

  • Effect of heat input, heat treatment on microstructure and mechanical properties of GTA welded Aerospace Material 15CDV6
    Journal of Materials Research, 2017
    Co-Authors: L. Srinivasan, P. Sathiya, T. Deepan Bharathi Kannan, S. Biju
    Abstract:

    In the present study, the effect of heat treatment on microstructure and mechanical properties of gas tungsten arc (GTA) welded 15CDV6 high strength low alloalloy steel is discussed. Experiments were carried out based on Taguchi L9 orthogonal array to weld 15CDV6 plate of thickness 3.7 mm. The input parameters considered in this work were current, voltage, and welding speed. Tensile strength, microhardness, and impact strength were measured as performance characteristics. Post weld heat treatment was carried out on the weldments to study its effect on the properties of weldments and microstructures were characterized using optical microscope and the X-ray diffraction analysis revealed the presence of MO_2C and VC precipitates in the weld. Post weld heat treatment of the GTA welded samples and base metal successfully produced properties required for Aerospace applications.