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An investigation of hybrid models FEA coupled with AHP-ELECTRE, RSM-GA, and ANN-GA into the process parameter optimization of high-quality deep-drawn cylindrical copper cups

Mechanics based design of structures and machines, 2024-01, Vol.52 (1), p.498-522

2024

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An investigation on the size-effects on thickness-distribution of directionally rolled multi-stage deep-drawn copper cups through finite element analysis, and its validation through experimentation employed scaling law

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-04, Vol.238 (8), p.3226-3234

2024

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Experimental validation of machine learning models for prediction of the thickness distribution of directionally rolled copper strips under scaling law

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-04, Vol.238 (8), p.3204-3214

2024

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A study on deep drawn cups and the selection of optimal settings deploying ANN training and architectural parameters using the Taguchi ARAS approach

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-04, Vol.238 (8), p.3287-3298

2024

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An investigation of stored energy in uniaxial and biaxial directional rolling on mechanical properties and microstructure of pure copper

Mechanics based design of structures and machines, 2023-05, Vol.51 (5), p.2831-2843

2023

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Effect of cryo-rolling on mechanical properties and microstructure of pure copper

Proceedings of the Institution of Mechanical Engineers. Part L, Journal of materials, design and applications, 2022-08, Vol.236 (8), p.1457-1463

2022

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A Comparative Study on Misorientations to Determine the Extent of Recrystallization in Pure ETP Copper

Physics of metals and metallography, 2021-12, Vol.122 (13), p.1279-1287

2021

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Artificial Neural Network prediction of forming limit diagram for directionally-rolled, size scaled copper strips

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-04, Vol.238 (8), p.3299-3307

2024

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Hybrid models for optimization of deep-drawn cups deploying scaling laws: a case study for sustainable development

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024-04, Vol.46 (4), Article 223

2024

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Hybrid optimisation of input process parameters of deep-drawn cylindrical cups from directional rolled copper strips

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2024-04, Vol.238 (8), p.3259-3272

2024

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Sustainability-driven optimization of directionally rolled copper strips for deep drawing microcups through response surface methodology

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023-12, Vol.45 (12), Article 632

2023

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Effect of Heat Treatment on Wire + Arc Additive Manufactured Aluminum 5356 Alloy: Mechanical Properties and Microstructure Correlation

Physics of metals and metallography, 2023-12, Vol.124 (14), p.1845-1855

2023

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Sustainable optimization through intuitionistic fuzzy MABAC of conical microcups fabrication in incremental sheet metal forming

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024-07, Vol.46 (7), Article 445

2024

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A study on microstructure and recrystallization kinetics on low deformed pure ETP copper

Proceedings of the Institution of Mechanical Engineers. Part L, Journal of materials, design and applications, 2022-12, Vol.236 (12), p.2493-2505

2022

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Multi Response Optimization of Setting Input Variables for Getting Better Product Quality in Machining of Magnesium AM60 by Grey Relation Analysis and ANOVA

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2018-04, Vol.62 (2), p.118

2018

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A study of cooling time, copper reduction and effects of alloying elements on the microstructure and mechanical properties of SG iron casting during machining

Australian journal of mechanical engineering, 2021-01, Vol.19 (1), p.10-18

2021

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Grey Relational Analysis and Anova to Determine the Optimum Process Parameters for Friction Stir Welding of Ti and Mg Alloys

Periodica polytechnica. Mechanical engineering - Mas̆inostroenie, 2018-10, Vol.62 (4), p.277-283

2018

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Matched-die Tooling and Fabrication of Composite C-section Spar Prototype

International journal of vehicle structures and systems, 2021-12, Vol.13 (5)

2021

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Multi response optimization of setting input variables for getting better cylindrical cups in sheet metal spinning of Al 6061 – T6 by Grey relation analysis

Materials today : proceedings, 2021, Vol.45, p.1464-1470

2021

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Effects of added fruit polyphenols and pectin on the properties of finished breads revealed by HPLC/LC-MS and Size-Exclusion HPLC

Food research international, 2011-11, Vol.44 (9), p.3047-3056

2011

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Effects of process variables optimization on the quality of parts processed in high speed single point incremental sheet metal forming by ranking algorithm

Materials today : proceedings, 2021, Vol.45, p.1707-1712

2021

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Experimental study and ignition fire risk mapping on friction stir welding parameters of dissimilar alloys for the benefits of environment

Materials today : proceedings, 2020, Vol.22, p.342-346

2020

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APPLICATION OF MULTI CRITERIA DECISION MAKING OF SETTING INPUT PROCESS PARAMETERS FOR DRILLED PRODUCT QUALITY OF Al Si 7 Cu 4

IOP conference series. Materials Science and Engineering, 2020, Vol.912 (3), p.32082

2020

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A comparative study of experimental and adaptive neuro fuzzy inference system based prediction model of machined AM60 magnesium alloy and its parameter effects

Materials today : proceedings, 2021, Vol.45, p.1055-1062

2021

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Utility of Taguchi Grey Relation Analysis for Influencing the System Input Parameters and Impacts of Tool Geometry and Wear Response of the Cutting Tool on Machinability and Environmental Impact of Machining for Automobile Industries

International journal of vehicle structures and systems, 2021-06, Vol.13 (2)

2021

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An investigation of hybrid models FEA coupled with AHP-ELECTRE, RSM-GA, and ANN-GA into the process parameter optimization of high-quality deep-drawn cylindrical copper cups

An investigation on the size-effects on thickness-distribution of directionally rolled multi-stage deep-drawn copper cups through finite element analysis, and its validation through experimentation employed scaling law

Experimental validation of machine learning models for prediction of the thickness distribution of directionally rolled copper strips under scaling law

A study on deep drawn cups and the selection of optimal settings deploying ANN training and architectural parameters using the Taguchi ARAS approach

An investigation of stored energy in uniaxial and biaxial directional rolling on mechanical properties and microstructure of pure copper

Effect of cryo-rolling on mechanical properties and microstructure of pure copper

A Comparative Study on Misorientations to Determine the Extent of Recrystallization in Pure ETP Copper

Artificial Neural Network prediction of forming limit diagram for directionally-rolled, size scaled copper strips

Hybrid models for optimization of deep-drawn cups deploying scaling laws: a case study for sustainable development

Hybrid optimisation of input process parameters of deep-drawn cylindrical cups from directional rolled copper strips

Sustainability-driven optimization of directionally rolled copper strips for deep drawing microcups through response surface methodology

Effect of Heat Treatment on Wire + Arc Additive Manufactured Aluminum 5356 Alloy: Mechanical Properties and Microstructure Correlation

Sustainable optimization through intuitionistic fuzzy MABAC of conical microcups fabrication in incremental sheet metal forming

A study on microstructure and recrystallization kinetics on low deformed pure ETP copper

Multi Response Optimization of Setting Input Variables for Getting Better Product Quality in Machining of Magnesium AM60 by Grey Relation Analysis and ANOVA

A study of cooling time, copper reduction and effects of alloying elements on the microstructure and mechanical properties of SG iron casting during machining

Grey Relational Analysis and Anova to Determine the Optimum Process Parameters for Friction Stir Welding of Ti and Mg Alloys

Matched-die Tooling and Fabrication of Composite C-section Spar Prototype

Multi response optimization of setting input variables for getting better cylindrical cups in sheet metal spinning of Al 6061 – T6 by Grey relation analysis

Effects of added fruit polyphenols and pectin on the properties of finished breads revealed by HPLC/LC-MS and Size-Exclusion HPLC

Effects of process variables optimization on the quality of parts processed in high speed single point incremental sheet metal forming by ranking algorithm

Experimental study and ignition fire risk mapping on friction stir welding parameters of dissimilar alloys for the benefits of environment

APPLICATION OF MULTI CRITERIA DECISION MAKING OF SETTING INPUT PROCESS PARAMETERS FOR DRILLED PRODUCT QUALITY OF Al Si 7 Cu 4

A comparative study of experimental and adaptive neuro fuzzy inference system based prediction model of machined AM60 magnesium alloy and its parameter effects

Utility of Taguchi Grey Relation Analysis for Influencing the System Input Parameters and Impacts of Tool Geometry and Wear Response of the Cutting Tool on Machinability and Environmental Impact of Machining for Automobile Industries

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