Zobrazeno 1 - 10 of 24 pro vyhledávání: '"A. Ozigagun"'
1
Akademický článek
Optimization of Material Removal Rate in Computer Numerical Control Lathe Machine in Turning AISI 1040 Steel
Autor: B. I. Ntukidem, J. I. Achebo, A. Ozigagun, F. O. Uwoghiren, K. O. Obahiagbon
Publikováno v: Journal of Applied Sciences and Environmental Management, Vol 28, Iss 5 (2024)
The Computer Numerical Control (CNC) of a Lathe Machine helps in shaping hard materials like metal and wood, while rotating on two axes and the amount of materials removed per unit time during the production process provides the material removal rate
Externí odkaz: https://doaj.org/article/d4f83578616b44e3a06a13ae410605f0
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2
Akademický článek
Artificial Neural Network-Based Tool Wear Prediction in Turning AISI 1040 Medium Carbon Steel Blanks
Autor: B. I. Ntukidem, J. I. Achebo, A. Ozigagun, F. O. Uwoghiren, K. O. Obahiagbon
Publikováno v: Journal of Applied Sciences and Environmental Management, Vol 28, Iss 2 (2024)
The objective of this paper was to investigate the Cutting Speed, Feed Rate and Depth of Cut to predict Tool wear during Turning of AISI 1040 Medium Carbon Steel Blanks using Artificial Neural Network Approach. The significance of the cutting paramet
Externí odkaz: https://doaj.org/article/439ad33463c444dcba7b0cc2b01d81d1
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3
Akademický článek
Prediction of Percentage Dilution in AISI 1020 Low Carbon Steel Welds Produced from Tungsten Inert Gas Welding
Autor: J. U. Ohwoekevwo, A. Ozigagun, J. I. Achebo, K. O. Obahiagbon
Publikováno v: Journal of Applied Sciences and Environmental Management, Vol 27, Iss 5 (2022)
The objective of this study is to predict the percentage dilution in AISI 1020 low carbon steel welds produced from tungsten inert gas welding using Artificial Neural Networking (ANN) approach. The regression plot showed R = 0.9992 as progress of tra
Externí odkaz: https://doaj.org/article/b4cc1f77a0f842a6b11501028dd5deee
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4
Akademický článek
Modelling of Average Weight Loss in Welding Defects using Response Surface Methodology and Artificial Neural Network.
Autor: T. A., MABIAKU, J. I., ACHEBO, K. O., OBAHIAGBON, A., OZIGAGUN, F. O., UWOGHIREN
Publikováno v: FUPRE Journal of Scientific & Industrial Research; 2024, Vol. 8 Issue 3, p308-321, 14p
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5
Akademický článek
Optimization of Material Removal Rate in Computer Numerical Control Lathe Machine in Turning AISI 1040 Steel.
Autor: NTUKIDEM, B. I., ACHEBO, J. I., OZIGAGUN, A., UWOGHIREN, F. O., OBAHIAGBON, K. O.
Publikováno v: Journal of Applied Sciences & Environmental Management; May2024, Vol. 28 Issue 5, p1467-1475, 9p
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6
Akademický článek
Application of Response Surface Methodology and Artificial Neural Network Analytical approach in modelling Shock Resistance of Pipeline Weldments.
Autor: MABIAKU, T. A., ACHEBO, J. I., OBAHIAGBON, K. O., OZIGAGUN, A.
Publikováno v: FUPRE Journal of Scientific & Industrial Research; 2024, Vol. 8 Issue 2, p193-207, 15p
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7
Akademický článek
Artificial Neural Network-Based Tool Wear Prediction in Turning AISI 1040 Medium Carbon Steel Blanks.
Autor: NTUKIDEM, B. I., ACHEBO, J. I., OZIGAGUN, A., UWOGHIREN, F. O., OBAHIAGBON, K. O.
Publikováno v: Journal of Applied Sciences & Environmental Management; Feb2024, Vol. 28 Issue 2, p459-465, 7p
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9
Akademický článek
Experimental Investigation to analyse the Mechanical Properties of Weld Strength Factor Performed by TIG Welding.
Autor: IYOHA, T. O., J. I., ACHEBO, OBAHIAGBON, K., A., OZIGAGUN
Publikováno v: FUPRE Journal of Scientific & Industrial Research; 2023, Vol. 7 Issue 4, p40-52, 13p
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10
Akademický článek
Application of Numerical and Computational Based Models for Modelling the Effects of the Electrode Density in Mild Steel TIG Welding Process.
Autor: AMADHE, F. O., ACHEBO, J. I., OBAHIAGBON, K., OZIGAGUN, A.
Publikováno v: FUPRE Journal of Scientific & Industrial Research; 2023, Vol. 7 Issue 3, p108-121, 14p
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