The Experts below are selected from a list of 197901 Experts worldwide ranked by ideXlab platform
M A Elbaradie - One of the best experts on this subject based on the ideXlab platform.
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surface roughness prediction in the turning of high strength steel by Factorial Design of experiments
Journal of Materials Processing Technology, 1997Co-Authors: I A Choudhury, M A ElbaradieAbstract:Abstract This paper discusses the development of surface roughness prediction models for turning EN 24T steel (290 BHN) utilising response surface methodology. A Factorial Design technique has been used to study the effects of the main cutting parameters such as cutting speed, feed, and depth of cut, on surface roughness. The tests have been carried out using uncoated carbide inserts without any cutting fluid. A first-order prediction model within the speed range of 36–117 m min −1 and a second-order model covering the speed range of 28–150 m min −1 have been presented. The results reveal that response surface methodology combined with Factorial Design of experiments is a better alternative to the traditional one-variable-at-a-time approach for studying the effects of cutting variables on responses such as surface roughness and tool life. This significantly reduces the total number of experiments required.
Marcelo Navarro - One of the best experts on this subject based on the ideXlab platform.
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a Factorial Design analysis of pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
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A Factorial Design analysis of (+)-pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
I A Choudhury - One of the best experts on this subject based on the ideXlab platform.
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surface roughness prediction in the turning of high strength steel by Factorial Design of experiments
Journal of Materials Processing Technology, 1997Co-Authors: I A Choudhury, M A ElbaradieAbstract:Abstract This paper discusses the development of surface roughness prediction models for turning EN 24T steel (290 BHN) utilising response surface methodology. A Factorial Design technique has been used to study the effects of the main cutting parameters such as cutting speed, feed, and depth of cut, on surface roughness. The tests have been carried out using uncoated carbide inserts without any cutting fluid. A first-order prediction model within the speed range of 36–117 m min −1 and a second-order model covering the speed range of 28–150 m min −1 have been presented. The results reveal that response surface methodology combined with Factorial Design of experiments is a better alternative to the traditional one-variable-at-a-time approach for studying the effects of cutting variables on responses such as surface roughness and tool life. This significantly reduces the total number of experiments required.
Marcio V F Lima - One of the best experts on this subject based on the ideXlab platform.
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a Factorial Design analysis of pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
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A Factorial Design analysis of (+)-pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
Benicio De Barros Neto - One of the best experts on this subject based on the ideXlab platform.
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a Factorial Design analysis of pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
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A Factorial Design analysis of (+)-pulegone electrocatalytic hydrogenation
Journal of Electroanalytical Chemistry, 2008Co-Authors: Marcio V F Lima, Frederico Duarte De Menezes, Benicio De Barros Neto, Marcelo NavarroAbstract:Abstract A 24 Factorial Design was used to analyse the influence of four factors on the electrocatalytic hydrogenation (ECH) of (+)-pulegone, using a nickel sacrificial anode (ECH-SA). The four factors were co-solvent (H2O/MeOH or H2O/ethylene glycol (1:1)), temperature (25 °C or 50 °C), cathodic material (Cu or Fe/Ni (64:36) alloy) and 0.2 mol L−1 supporting electrolyte (NH4Cl or NH4Ac). The analysis of the results showed that changing the temperature does not have a significant effect on the studied system (ECH-SA). The most significant factors were co-solvent and supporting electrolyte, with MeOH and NH4Cl giving the best results. The (+)-pulegone hydrogenation performance on Cu or Fe/Ni cathode surfaces (recovered with nickel) was similar, showing that the cathodic matrix presents a less significant effect in the ECH-SA process, although it plays an important role in the initial nickel deposit formation affecting its morphology (shape, size, homogeneity and spacing).
