Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling

Mixed metal structure nano-composites represent a novel category comprising sophisticated components that may be tailored while designed can possess precise qualities over precise purposes under certain settings. Hybrid electric vehicles (HEVs) become widely favored in the global mobility sector owi...

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Main Authors: Chandrasekhar Rao Bandaru, Seshappa Angadi, Mounika Thati, Subbaratnam Bhavanasi, Prudhvi Raj Konka, Ganni Aditya
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03006.pdf
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author Chandrasekhar Rao Bandaru
Seshappa Angadi
Mounika Thati
Subbaratnam Bhavanasi
Prudhvi Raj Konka
Ganni Aditya
author_facet Chandrasekhar Rao Bandaru
Seshappa Angadi
Mounika Thati
Subbaratnam Bhavanasi
Prudhvi Raj Konka
Ganni Aditya
author_sort Chandrasekhar Rao Bandaru
collection DOAJ
description Mixed metal structure nano-composites represent a novel category comprising sophisticated components that may be tailored while designed can possess precise qualities over precise purposes under certain settings. Hybrid electric vehicles (HEVs) become widely favored in the global mobility sector owing using their cost-effectiveness with superior energy efficiency in comparison to traditional components. The primary focus of this aspect of investigation work included the use of an L16 triangular array design for experiments with Taguchi-based grey relationship analysis for multi-response optimization. The objective was to investigate the impact of its tetra hybrid-reinforced combination aluminum matrices with their physic-mechanical characteristics. These composites were produced through a pure aluminum structure at a set weight percentage from basic components (5 wt% SiC and (1, 3, 5, and 7 wt% Al2O3) as well as varying weight percentages of the SCBA (1, 3, 5, and 7 wt%). The study examined how changes in the milling duration, and consolidation stress while the sintering temperatures affected the characteristics of compounds. Taguchi-Grey’s relational approach determined the best pairing of the method with additives variables to achieve excellent physical and mechanical qualities. These variables include a grinding duration of 5 hours, a compression force of 56 MPa, a sintered heat of 450 °C, with a SCBA concentration of 5 wt%. The mean weight, permeability, toughness, strength at compression, & maximum elasticity got 2.51 gm cm3, 0.87%, 4228.45 MPa, 343.33 MPa, and 1516.41 MPa, respectively, after the variable conditions were optimized. Those use using Mark Taguchi and GRA techniques have conclusively shown which compression force had the greatest impact among all 4 factors. The recently produced tetra mixed- reinforced combination aluminum matrix composites demonstrated higher physic-mechanical characteristics in comparison to basic aluminum and HAMCs reinforced with just one or two materials. Hence, it is expected that the recently created tetra hybrid-reinforced AMC substance would find use in robust, aviation, wellness, transportation, marine life, and several additional fields.
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spelling doaj-art-920bab087a0d46149f8625bb1c19ac822025-08-20T03:07:06ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016190300610.1051/e3sconf/202561903006e3sconf_icsget2025_03006Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship ModelingChandrasekhar Rao Bandaru0Seshappa Angadi1Mounika Thati2Subbaratnam Bhavanasi3Prudhvi Raj Konka4Ganni Aditya5Department of Environmental Science, Vardhaman College of EngineeringDepartment of Mechanical Engineering, KG Reddy College of Engineering, and TechnologyDepartment of Basic Sciences & Humanities BVRIT HYDERABAD College of Engineering for WomenDepartment of Mechanical Engineering, Malla Reddy Engineering College and Management SciencesDepartment of Mechanical Engineering, Mahatma Gandhi Institute of TechnologyDepartment of Mechanical Engineering, Vardhaman College of EngineeringMixed metal structure nano-composites represent a novel category comprising sophisticated components that may be tailored while designed can possess precise qualities over precise purposes under certain settings. Hybrid electric vehicles (HEVs) become widely favored in the global mobility sector owing using their cost-effectiveness with superior energy efficiency in comparison to traditional components. The primary focus of this aspect of investigation work included the use of an L16 triangular array design for experiments with Taguchi-based grey relationship analysis for multi-response optimization. The objective was to investigate the impact of its tetra hybrid-reinforced combination aluminum matrices with their physic-mechanical characteristics. These composites were produced through a pure aluminum structure at a set weight percentage from basic components (5 wt% SiC and (1, 3, 5, and 7 wt% Al2O3) as well as varying weight percentages of the SCBA (1, 3, 5, and 7 wt%). The study examined how changes in the milling duration, and consolidation stress while the sintering temperatures affected the characteristics of compounds. Taguchi-Grey’s relational approach determined the best pairing of the method with additives variables to achieve excellent physical and mechanical qualities. These variables include a grinding duration of 5 hours, a compression force of 56 MPa, a sintered heat of 450 °C, with a SCBA concentration of 5 wt%. The mean weight, permeability, toughness, strength at compression, & maximum elasticity got 2.51 gm cm3, 0.87%, 4228.45 MPa, 343.33 MPa, and 1516.41 MPa, respectively, after the variable conditions were optimized. Those use using Mark Taguchi and GRA techniques have conclusively shown which compression force had the greatest impact among all 4 factors. The recently produced tetra mixed- reinforced combination aluminum matrix composites demonstrated higher physic-mechanical characteristics in comparison to basic aluminum and HAMCs reinforced with just one or two materials. Hence, it is expected that the recently created tetra hybrid-reinforced AMC substance would find use in robust, aviation, wellness, transportation, marine life, and several additional fields.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03006.pdf
spellingShingle Chandrasekhar Rao Bandaru
Seshappa Angadi
Mounika Thati
Subbaratnam Bhavanasi
Prudhvi Raj Konka
Ganni Aditya
Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
E3S Web of Conferences
title Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
title_full Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
title_fullStr Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
title_full_unstemmed Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
title_short Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship Modeling
title_sort integrated optimization of manufacturing and reinforcement parameters in hybrid reinforced aluminum matrix composites through multi response research and taguchi grey relationship modeling
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03006.pdf
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