High‐Stress Abrasive Wear Analysis of in Situ TiC‐Reinforced Zinc–Aluminum Composites Using Integrated Taguchi–TOPSIS Method

Khan, Mohammad Mohsin; Nisar, Mehak; Hajam, Mohammad Irfan

doi:10.1002/adem.202201862

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…In the case of multi-output process optimization, Taguchi's method is combined with gray relational analysis. GRA analysis, in conjunction with the Taguchi method, represents a newer methodology for multi-objective optimization known as the Taguchi-grey method [32][33][34][35][36]. The advantage of this technique is that multiple responses can be converted into one gray relation grade (GRG).…”

Section: Multi-response Optimizationmentioning

confidence: 99%

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

Gajević,

Marković,

Milojević

et al. 2024

Lubricants

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In this study, a multi-objective optimization regarding the tribological characteristics of the hybrid composite with a base material of aluminum alloy A356 as a constituent, reinforced with a 10 wt.% of silicon carbide (SiC), size 39 µm, and 1, 3, and 5 wt.% graphite (Gr), size 35 µm, was performed using the Taguchi method, gray relational analysis (GRA), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision-making methods. Tribological tests were carried out on a “block on disc” type tribometer with lubrication. Load, sliding speed, and graphite mass concentration were analyzed as input parameters. As output parameters, wear rate and coefficient of friction were calculated. An analysis of variance (ANOVA) was conducted to identify all parameters that have a significant influence on the output multi-response. It was found that the normal load has the highest influence of 41.86%, followed by sliding speed at 32.48% and graphite addition at 18.47%, on the tribological characteristics of composites. Multi-objective optimization determined that the minimal wear rate and coefficient of friction are obtained when the load is 40 N, the sliding speed is 1 m/s, and the composite contains 3 wt.% Gr. The optimal combination of parameters achieved by GRA was also confirmed by the TOPSIS method, which indicates that both methods can be used with high reliability to optimize the tribological characteristics. The analysis of worn surfaces using scanning electron microscopy revealed adhesive and delamination wear as dominant mechanisms.

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Section: Multi-response Optimizationmentioning

confidence: 99%

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

Gajević,

Marković,

Milojević

et al. 2024

Lubricants

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show abstract

“…From Table 8, it can be seen that there are 144 design solutions, each corresponding to three optimization objectives, and the original data decision matrix can be built according to Equation ( 5) [38][39][40].…”

Section: Optimization Design Of the Gear Rack Mechanismmentioning

confidence: 99%

The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines

Wang,

Bao,

Zhao

et al. 2023

Energies

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This article proposes and designs a novel variable pitch adjustment device for small wind turbines. The generator spindle is designed to be hollow so that the drive rod passes through it and connects the pitch drive mechanism to the pitch actuator. The article introduces the basic structure and working principle of the pitch mechanism and verifies the feasibility of the pitch device by using 3D printing technology to produce a small-scale model. The stress analysis of the wind turbine was carried out using the unidirectional fluid–structure coupling method. The results show that the maximum equivalent stress of the pitch mechanism is 27.42 MPa, the maximum tooth surface contact stress of the gear is 38.40 MPa, and the maximum tooth root bending stress is 18.13 MPa. The rack synchronous disk, blade handle, and gear rack mechanism were designed with light weight using various optimization schemes. The results of the optimization showed that the overall mass of the pitch mechanism was reduced by 33.2%, improving the applicability of the new pitch mechanism.

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Comprehensive Analysis of TiC-Reinforced ZA-37 Alloy Matrix Composites: Microstructural, Hardness, and Corrosion Performance

Sheikh,

Khan,

Dey

2024

J Bio Tribo Corros

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High‐Stress Abrasive Wear Analysis of in Situ TiC‐Reinforced Zinc–Aluminum Composites Using Integrated Taguchi–TOPSIS Method

Cited by 7 publications

References 44 publications

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines

Comprehensive Analysis of TiC-Reinforced ZA-37 Alloy Matrix Composites: Microstructural, Hardness, and Corrosion Performance

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