Tribological Behavior of Aluminum Composites Using Taguchi Design and Ann

Stojаnović, Blaža; Tomović, R.; Gajević, Sandra; Petrović, J.; Miladinović, Slavica

doi:10.46793/adeletters.2022.1.1.5

Cited by 20 publications

(10 citation statements)

References 20 publications

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“…RSM and the Taguchi methods are both experimental design techniques for systematic optimization. Taguchi method focuses on adjusting factors such as composition and process conditions, aiming to reduce brake noise and extend lifespan (Stojanovic et al, 2022a(Stojanovic et al, , 2022bVencl et al, 2022). RSM is primarily used for the optimization material design, especially in complex systems with multiple influencing factors and interactions (Li et al, 2019).…”

Section: Friction Performance Optimizationmentioning

confidence: 99%

Prediction and comparative analysis of friction material properties using a GA-SVM optimization model

Zhang,

Wang,

Wang

2024

ILT

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Purpose With the rapid advancement in the automotive industry, the friction coefficient (FC), wear rate (WR) and weight loss (WL) have emerged as crucial parameters to measure the performance of automotive braking systems, so the FC, WR and WL of friction material are predicted and analyzed in this work, with an aim of achieving accurate prediction of friction material properties. Design/methodology/approach Genetic algorithm support vector machine (GA-SVM) model is obtained by applying GA to optimize the SVM in this work, thus establishing a prediction model for friction material properties and achieving the predictive and comparative analysis of friction material properties. The process parameters are analyzed by using response surface methodology (RSM) and GA-RSM to determine them for optimal friction performance. Findings The results indicate that the GA-SVM prediction model has the smallest error for FC, WR and WL, showing that it owns excellent prediction accuracy. The predicted values obtained by response surface analysis are closed to those of GA-SVM model, providing further evidence of the validity and the rationality of the established prediction model. Originality/value The relevant results can serve as a valuable theoretical foundation for the preparation of friction material in engineering practice.

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Section: Friction Performance Optimizationmentioning

confidence: 99%

Prediction and comparative analysis of friction material properties using a GA-SVM optimization model

Zhang,

Wang,

Wang

2024

ILT

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“…To form a quality image, it is necessary to vary the technological parameters of the laser system [19][20][21][22]. For the purposes of the research, a CO 2 laser with technical capabilities of a speed of movement of 500 mm/s along the x and y axes, and regulated laser power up to 50 W in step 0.05 W was used.…”

Section: Problem Statementmentioning

confidence: 99%

Determination of the optimal mode of laser surface marking of aluminium composite panels with CO2 laser

Yankov¹,

Minev²,

Tonchev³

et al. 2022

tribomat

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This research examines an approach for finding the optimal modes of laser treatment with CO2 laser on advertisement boards made of aluminium composite panels. To achieve the optimal area of the processing mode, an experimental methodology has been developed and an experiment has been planned for finding the limits at the given parameters of the speed and power to obtain an optimisation model. The optimal results are obtained at speeds from 100 to 200 mm/s along the x and y operative axes, as well as the power limits from 5 to 7.5 W to obtain a clear and well-defined image. The defined theoretical mode, obtained because of multicriteria optimisation, is implemented in practice. It is defined as having the relatively best quality image obtained in the shortest time.

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“…7,8 These properties make CNTs a suitable reinforcement material for metal matrix and ceramic matrix composites. 9,10 The most commonly used reinforcement materials are SiC, 11,12 Al 2 O 3 , 13 ZnO, 14 Ti, 15 graphite, 16 graphene, 17 CNTs, 18−20 and others for the fabrication of Al metal matrix composites. CNT/Al composites have emerged as potential structural materials for lightweight applications requiring high strength and anticorrosion in the automotive and aerospace sectors.…”

Section: Introductionmentioning

confidence: 99%

“…High melting point and remarkable electrical and thermal conductivity, as well as chemical stability, are a few of them, even when exposed to high temperatures. The experimental observation on CNT has revealed low density (∼1.2–1.8 g/cm 3 ), large surface area (∼1000 m 2 /g) with high aspect ratios (∼50–500), elastic modulus (1 TPA), hydrogen storage potential, − corrosion resistance, solid lubricant, , and remarkable optical and biological properties. , These properties make CNTs a suitable reinforcement material for metal matrix and ceramic matrix composites. , The most commonly used reinforcement materials are SiC, , Al 2 O 3 , ZnO, Ti, graphite, graphene, CNTs, − and others for the fabrication of Al metal matrix composites. CNT/Al composites have emerged as potential structural materials for lightweight applications requiring high strength and anticorrosion in the automotive and aerospace sectors.…”

Section: Introductionmentioning

confidence: 99%

Distribution of Carbon Nanotubes in an Aluminum Matrix by a Solution-Mixing Process

Kumar,

Soren,

Nirala

et al. 2023

ACS Omega

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In order to overcome the limitations of standard ball-mill mixing processes to fabricate a uniformly dispersed carbon nanotube (CNT) reinforcement composite without damaging CNTs in matrix powder, a unique and easy solution-mixing process was developed. The present study aims to synthesize Al-0.5 wt % CNT composites using ball-milling and solution-mixing processes and compares their CNT dispersion and structural and thermal properties. Compared with the ball-milling process, the solution-mixing process was simple and effective for the uniform distribution of CNTs without structural damage. Various methods were utilized to examine the structural characteristics of the composite powder. These techniques included high-resolution transmission electron microscopy (HRTEM), X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), Raman spectroscopy, and particle size analysis. Raman spectroscopy observes an increase of defects in ball-milled composites, and the particle size analyzer confirms the structural deformation, resulting in the degradation of composite powder mechanical properties. In the solution-mixing process, aluminum particles and the structure of CNTs are well-preserved even after mixing. Thermogravimetric analysis (TGA) was used to research the thermal stability of the composite materials. The results validated the impact of CNTs on thermal characteristics enhancement (improved thermal resistance) when compared with pure aluminum, suggesting potential uses in the aerospace industry, transport, and construction sectors.

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Tribological Behavior of Aluminum Composites Using Taguchi Design and Ann

Cited by 20 publications

References 20 publications

Prediction and comparative analysis of friction material properties using a GA-SVM optimization model

Prediction and comparative analysis of friction material properties using a GA-SVM optimization model

Determination of the optimal mode of laser surface marking of aluminium composite panels with CO2 laser

Distribution of Carbon Nanotubes in an Aluminum Matrix by a Solution-Mixing Process

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