Multi-objective modelling and optimization of Al–Si–SiC composite material: a multi-disciplinary approach

Poornesh, M.; Bhat, Shreeranga; Gijo, E.V.; Bellairu, Pavana Kumara

doi:10.1007/s41939-021-00105-6

Cited by 7 publications

(3 citation statements)

References 51 publications

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“…Authors use the normalized value equation ( 2) to generate the normalized decision matrix. Under the premise that all attributes are equally important to get equation (3) from the normalized decision matrix [30]. Equations ( 4) and ( 5) can be used to determine the positive and negative ideal solutions, respectively.…”

Section: Resultsmentioning

confidence: 99%

Optimization of process parameters on wire cut electrical discharge machining and surface integrity studies of AA6070/MgO composites

Vinoth,

Rajasekar,

Sathish

et al. 2023

J. Phys.: Conf. Ser.

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There are a variety of uses for metal matrix composites (MMC), including the aerospace and automotive industries. Because of their benefits including light weight and inexpensive cost, they are popular. Wire cut electric discharge machining (WEDM) stands out as a great option for creating complex or complicated shapes out of composite materials, especially when compared to other common non-traditional machining processes. An AA6070 metal matrix composite containing 5% and 10% MgO weight fraction (wt) was made using the stir casting method in this work. Various process factors, such as wire tension (WT), dielectric pressure (Pd), gap voltage (Vg) and peak current (IP) are taken into account when the AMMC specimen is machined utilising WEDM. Slot machining rate (MR) and surface roughness (Ra) can be measured and assessed using L18 mixed Orthogonal Array (OA) investigations. Experiments are examined using TOPSIS and ANOVA methodologies for order preference based on similarity to the ideal results (ANOVA). Analysis has shown that the best mixture of processing factors for improved MR and Ra: wt = 5%, vg = 50 V, WT = 13 g, Ip = 9 A, and Pd = 15 bar. Machining Rate and Ra have ideal process parameters of 1.5 mm/min and 3.648 m. ANOVA shows that MR and Ra are significantly influenced by peak current.

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Section: Resultsmentioning

confidence: 99%

Optimization of process parameters on wire cut electrical discharge machining and surface integrity studies of AA6070/MgO composites

Vinoth,

Rajasekar,

Sathish

et al. 2023

J. Phys.: Conf. Ser.

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show abstract

“…The composite’s optical microstructural pictures reveal that the reinforcing particles are evenly distributed throughout the matrix. Tensile strength may be predicted more accurately using the suggested regression model (Poornesh et al , 2022). Ball-milled material tensile strength of strengthened composite went up by 25.14%.…”

Section: Resultsmentioning

confidence: 99%

“…The primary goal of this research is to model and optimise a new composite material for use in the automotive industry using many objectives. Mechanical engineering, materials engineering and inferential statistics are all included into the research, which results in a multi-disciplinary approach (Poornesh et al , 2022). To better understand the wear behaviour of produced MMCs, a mathematical model was constructed using artificial neural networks and the Taguchi approach to find the optimal standing wave ratio value (Kavimani, et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Wear and microstructure analysis of aluminium based composite using eggshell and rice husk ash as reinforcement

Yadav

Islam

Dwivedi

2022

WJE

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Purpose The purpose of this paper is to study Al-based green composite. To make composite samples of aluminium alloy (AA3105) with different weight percentages of rice husk ash (RHA) and eggshell (ES) particles as reinforcement, stir casting method was used. Design/methodology/approach Several other aspects, including the weight percent of reinforcing agent particles, the applied stress and the sliding speed, were taken into consideration. During the course of the wear test, the sliding distance that was recorded varied from a minimum of 1,000 m all the way up to a maximum of 3,135 m (10, 15, 20, 25 and 30 min). The typical range for normal loads is 8–24 N, and their speed is 1.58 m/s. Findings With the AA/ES/RHA composite, the wear rates decreases when the grain size of the reinforcing particles enhanced. Scanning electron microscopy images of worn surfaces show that at low speeds, delaminating and ploughing are the main causes of wear. At high speeds, ploughing is major cause of wear. Composites with better wear-resistant properties can be used in wide range of tribological applications, especially in the automotive industry. It was found that hardness increases at the same time as the weight of the reinforcement increases. Tensile and hardness were maximized at 10% reinforcement mix in Al3105. Originality/value In this work, ES and RHA has been used to develop green metal matrix composite to support green revolution as promoted/suggested by United Nations thus reducing the environmental pollution.

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Online fault detection and classification of 3-phase long transmission line using machine learning model

Sahoo

Samal

2022

Multiscale and Multidiscip. Model. Exp. and Des.

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Multi-objective modelling and optimization of Al–Si–SiC composite material: a multi-disciplinary approach

Cited by 7 publications

References 51 publications

Optimization of process parameters on wire cut electrical discharge machining and surface integrity studies of AA6070/MgO composites

Optimization of process parameters on wire cut electrical discharge machining and surface integrity studies of AA6070/MgO composites

Wear and microstructure analysis of aluminium based composite using eggshell and rice husk ash as reinforcement

Online fault detection and classification of 3-phase long transmission line using machine learning model

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