The Experts below are selected from a list of 84 Experts worldwide ranked by ideXlab platform
Vivek Anil Vaidya - One of the best experts on this subject based on the ideXlab platform.
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Multiple Performance Characteristics Optimization of Cold rolling Processes Parameters Using Taguchi’s Quality Loss Function
International Journal of Research, 2018Co-Authors: Vivek Anil Vaidya, Atul C. WaghmareAbstract:Taguchi method of Optimization has successfully applied in lasts so many years in Engineering application for the improvement of product quality and process performance. Most of the Taguchi experiments are application for single characteristic optimization. Multiple characteristics Optimization in manufacturing processes has received very little attention among the Taguchi Method users. Many engineers using Taguchi methods have employed pure engineering judgment when dealing with multiple characteristics in manufacturing process optimization. This approach brings an element of uncertainty to the decision-making process. This paper presents an alternative approach for tackling such optimization problems using Taguchi’s quality loss function analysis. The paper presents a case study to illustrate the potential of the proposed methodology is used to optimize Multi process performance namely thickness variation, strip flatness, production rate and Power consumption by obtaining optimal solution for control factors exit tension, entry tension, Mill speed and Roll bending pressure for cold rolling of low carbon steel in single stand reversible cold rolling mill . A orthogonal array was selected and total 27 experiments were conducted in Single stand reversing cold rolling Mill after selecting control factors and its levels as a case study. Interaction Plot shows no Interaction among the control parameters. The ANOVA carried out which shows the mill speed is most significant control factor. The Prediction model has been developed at 95% confidence level. The optimal values obtained using the multi characteristics optimization Model using Taguchi loss function has been validated by confirmation experiment. Finally rolling pass schedule is optimized using optimized rolling parameters.
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multiple performance characteristics optimization of cold rolling processes parameters using taguchi s quality loss function
International Journal of Research, 2018Co-Authors: Vivek Anil Vaidya, Atul WaghmareAbstract:Taguchi method of Optimization has successfully applied in lasts so many years in Engineering application for the improvement of product quality and process performance. Most of the Taguchi experiments are application for single characteristic optimization. Multiple characteristics Optimization in manufacturing processes has received very little attention among the Taguchi Method users. Many engineers using Taguchi methods have employed pure engineering judgment when dealing with multiple characteristics in manufacturing process optimization. This approach brings an element of uncertainty to the decision-making process. This paper presents an alternative approach for tackling such optimization problems using Taguchi’s quality loss function analysis. The paper presents a case study to illustrate the potential of the proposed methodology is used to optimize Multi process performance namely thickness variation, strip flatness, production rate and Power consumption by obtaining optimal solution for control factors exit tension, entry tension, Mill speed and Roll bending pressure for cold rolling of low carbon steel in single stand reversible cold rolling mill . A orthogonal array was selected and total 27 experiments were conducted in Single stand reversing cold rolling Mill after selecting control factors and its levels as a case study. Interaction Plot shows no Interaction among the control parameters. The ANOVA carried out which shows the mill speed is most significant control factor. The Prediction model has been developed at 95% confidence level. The optimal values obtained using the multi characteristics optimization Model using Taguchi loss function has been validated by confirmation experiment. Finally rolling pass schedule is optimized using optimized rolling parameters.
Atul C. Waghmare - One of the best experts on this subject based on the ideXlab platform.
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Multiple Performance Characteristics Optimization of Cold rolling Processes Parameters Using Taguchi’s Quality Loss Function
International Journal of Research, 2018Co-Authors: Vivek Anil Vaidya, Atul C. WaghmareAbstract:Taguchi method of Optimization has successfully applied in lasts so many years in Engineering application for the improvement of product quality and process performance. Most of the Taguchi experiments are application for single characteristic optimization. Multiple characteristics Optimization in manufacturing processes has received very little attention among the Taguchi Method users. Many engineers using Taguchi methods have employed pure engineering judgment when dealing with multiple characteristics in manufacturing process optimization. This approach brings an element of uncertainty to the decision-making process. This paper presents an alternative approach for tackling such optimization problems using Taguchi’s quality loss function analysis. The paper presents a case study to illustrate the potential of the proposed methodology is used to optimize Multi process performance namely thickness variation, strip flatness, production rate and Power consumption by obtaining optimal solution for control factors exit tension, entry tension, Mill speed and Roll bending pressure for cold rolling of low carbon steel in single stand reversible cold rolling mill . A orthogonal array was selected and total 27 experiments were conducted in Single stand reversing cold rolling Mill after selecting control factors and its levels as a case study. Interaction Plot shows no Interaction among the control parameters. The ANOVA carried out which shows the mill speed is most significant control factor. The Prediction model has been developed at 95% confidence level. The optimal values obtained using the multi characteristics optimization Model using Taguchi loss function has been validated by confirmation experiment. Finally rolling pass schedule is optimized using optimized rolling parameters.
Atul Waghmare - One of the best experts on this subject based on the ideXlab platform.
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multiple performance characteristics optimization of cold rolling processes parameters using taguchi s quality loss function
International Journal of Research, 2018Co-Authors: Vivek Anil Vaidya, Atul WaghmareAbstract:Taguchi method of Optimization has successfully applied in lasts so many years in Engineering application for the improvement of product quality and process performance. Most of the Taguchi experiments are application for single characteristic optimization. Multiple characteristics Optimization in manufacturing processes has received very little attention among the Taguchi Method users. Many engineers using Taguchi methods have employed pure engineering judgment when dealing with multiple characteristics in manufacturing process optimization. This approach brings an element of uncertainty to the decision-making process. This paper presents an alternative approach for tackling such optimization problems using Taguchi’s quality loss function analysis. The paper presents a case study to illustrate the potential of the proposed methodology is used to optimize Multi process performance namely thickness variation, strip flatness, production rate and Power consumption by obtaining optimal solution for control factors exit tension, entry tension, Mill speed and Roll bending pressure for cold rolling of low carbon steel in single stand reversible cold rolling mill . A orthogonal array was selected and total 27 experiments were conducted in Single stand reversing cold rolling Mill after selecting control factors and its levels as a case study. Interaction Plot shows no Interaction among the control parameters. The ANOVA carried out which shows the mill speed is most significant control factor. The Prediction model has been developed at 95% confidence level. The optimal values obtained using the multi characteristics optimization Model using Taguchi loss function has been validated by confirmation experiment. Finally rolling pass schedule is optimized using optimized rolling parameters.
Antonio Frontera - One of the best experts on this subject based on the ideXlab platform.
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supramolecular network of a framework material supported by the anion π linkage of keggin type heteropolyoxotungstates experimental and theoretical insights
Dalton Transactions, 2021Co-Authors: Maryam Samaniyan, Masoud Mirzaei, Rosa M Gomila, Hossein Eshtiaghhosseini, Nahid Lotfian, Joel T Mague, Ali Nakhaei Pour, Antonio FronteraAbstract:A novel inorganic–organic hybrid, {Na[Tb(L)(H2O)4]3(SiW12O40)}·4H2O, in which L = 4-hydroxypyridine-2,6-dicarboxylic acid (chelidamic acid), was prepared and characterized by elemental analyses, Fourier transform infrared spectroscopy, and single-crystal X-ray diffraction. It consists of a trinuclear terbium cluster bonded to a Keggin-type polyoxotungstate. In the terbium cluster three crystallographically equivalent Tb3+ ions are bridged by carboxylate oxygen atoms belonging to three chelidamic acid units to form an equilateral triangle. These triangle units connect to each other through hydrogen-bonding and anion–π Interactions. A CSD survey was carried out focusing on the cation and the ligand roles in the structure formation of this type of compounds. Finally, DFT calculations were used to analyse the role of the anion–π Interactions that are important in the formation of 1D supramolecular assemblies in the solid state. The noncovalent Interaction Plot (NCIPlot) computational tool has been used to characterize the anion–π Interaction.
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a series of hydrogen bond mediated dinuclear nickel ii complexes with reduced schiff base ligands an insight into the nature of their short intermolecular hydrogen bonds
Polyhedron, 2020Co-Authors: Saikat Mirdya, Michael G B Drew, Akash Kumar Chandra, Abhisek Banerjee, Antonio Frontera, Shouvik ChattopadhyayAbstract:Abstract A series of isostructural centrosymmetric hydrogen bonded dimeric nickel(II) complexes of general formula, [Ni2(HL)2(DMSO)2(H2O)2]X {where H2L = N2O4 donor reduced Schiff base ligand, [H2L1=(2,2-dimethyl-1,3-propanediyl)bis(iminomethylene)bis(6-methoxyphenol) and H2L2=(2,2-dimethyl-1,3-propanediyl)bis(iminomethylene)bis(6-ethoxyphenol)] and X = counter anion}, are synthesized and characterized by elemental analysis, infrared and electronic spectra. The structures of all complexes have been confirmed by single crystal X-ray diffraction analysis. Each complex forms O⋯H⋯O hydrogen bonded dimer in the solid state, where the O⋯O distance is very short, ranging from 2.424(3) to 2.437(3) A. The hydrogen bonds are very strong as can be seen from the DFT estimated energy of these hydrogen bonds. Non-covalent Interaction Plot (NCI Plot) index has been used to characterize them.
Shouvik Chattopadhyay - One of the best experts on this subject based on the ideXlab platform.
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a series of hydrogen bond mediated dinuclear nickel ii complexes with reduced schiff base ligands an insight into the nature of their short intermolecular hydrogen bonds
Polyhedron, 2020Co-Authors: Saikat Mirdya, Michael G B Drew, Akash Kumar Chandra, Abhisek Banerjee, Antonio Frontera, Shouvik ChattopadhyayAbstract:Abstract A series of isostructural centrosymmetric hydrogen bonded dimeric nickel(II) complexes of general formula, [Ni2(HL)2(DMSO)2(H2O)2]X {where H2L = N2O4 donor reduced Schiff base ligand, [H2L1=(2,2-dimethyl-1,3-propanediyl)bis(iminomethylene)bis(6-methoxyphenol) and H2L2=(2,2-dimethyl-1,3-propanediyl)bis(iminomethylene)bis(6-ethoxyphenol)] and X = counter anion}, are synthesized and characterized by elemental analysis, infrared and electronic spectra. The structures of all complexes have been confirmed by single crystal X-ray diffraction analysis. Each complex forms O⋯H⋯O hydrogen bonded dimer in the solid state, where the O⋯O distance is very short, ranging from 2.424(3) to 2.437(3) A. The hydrogen bonds are very strong as can be seen from the DFT estimated energy of these hydrogen bonds. Non-covalent Interaction Plot (NCI Plot) index has been used to characterize them.