Optimization of Zinc-Based Hybrid Nanocomposites Using Taguchi Grey Relation Analysis

Güler, Onur; Gajević, Sandra; Miladinović, Slavica; Çuvalcı, Hamdullah; Stojаnović, Blaža

doi:10.24874/mvm.2021.47.03.02

Cited by 2 publications

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“…Hybrid nanocomposites have wide application in many industries. Tribological properties have been improved that results in less wear rate and ultimately improves the life (Güler et al , 2021). The process principle of FSW has been relatively simple.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis

Panwar

Chandna

2022

AEAT

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Purpose This paper aims to accomplish friction stir welding (FSW) of Al–Li alloy AA8090 to determine optimal settings of the process parameters for higher tensile strength and higher micro-hardness (MH) to achieve the objective of adequate butt-joint strength. Design/methodology/approach An empirical relation is implemented to govern the utmost influence parameters, i.e. tool rotation speed (TRS), tool transverse speed (TTS) and dwell time (DT). Taguchi grey relational analysis (GRA) was applied for multi-response optimization of response parameters. The grey relational grades (GRs) have been calculated for both the responses MH and ultimate tensile strength to get optimal parametric settings. The variance test has been performed to check the adequacy of the model. Findings The Taguchi L9 orthogonal array design was used in establishing the relation between input parameter and output parameter (tensile and MH). TTS and DT have been predicted to be the two most important parameters that influence the extreme quality features of joints by using friction stir welding. Scanning electron microscopy fractography shows the ductile failure of the welded joints. Originality/value The experimental trials provided the followings results, maximum ultimate tensile strength (UTS) of 219 MPa and MH 107.1 HV under 1,400 rpm of TRS, 40 mm/min of TTS and 8 s of DT founded the optimum value through GRA.

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Section: Introductionmentioning

confidence: 99%

Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis

Panwar

Chandna

2022

AEAT

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“…The selection of an optimal bacteria concentration and curing day can also pose a problem. Grey Relational Analysis (GRA) can be used in this field to find an optimal solution, since various researchers use it in different fields as an optimization technique (Dagdevir and Ozceyhan, 2021;Güler et al, 2021;Roy et al, 2016;Si et al, 2021). A major drawback of GRA is that it assigns a similar weight to all output characteristics, even though in practice not all output characteristics are equally important (Fangfang, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Hybrid IF-FUCOM-GRA Approach and its Application to Determine Optimal Bacterial Concentrations on Mortar at Optimal Curing Day

Dey¹,

Smarandache²,

Debbarma³

et al. 2022

Informatica

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In this study, Intuitionistic Fuzzy Consistency Method (IF-FUCOM) and Grey Relation Analysis (GRA) were combined to assess the effects of Bacillus subtilis bacteria on concrete properties, as well as to determine the optimal bacteria concentration and curing day. Three different concentrations of bacteria were added to the mortar mixes, like 103, 105, and 107 cells/ml of water. Mortar samples were left to cure for 7 days, 14 days, and 28 days to evaluate compressive strength, water absorption, crack healing. According to the proposed algorithm, 105 bacteria are the optimal concentration, while 28 days is the ideal curing time.

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Optimization of Zinc-Based Hybrid Nanocomposites Using Taguchi Grey Relation Analysis

Cited by 2 publications

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Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis

Parameter optimization of FSW aviation-grade AA8090 using Taguchi grey relational analysis

A Hybrid IF-FUCOM-GRA Approach and its Application to Determine Optimal Bacterial Concentrations on Mortar at Optimal Curing Day

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