Optimization of wear parameters of aluminium composites (AA7150/10 wt%WC) employing Taguchi approach

Mohanavel, V.; Prasath, S.; Yoganandam, K.; Tesemma, Belachew Girma; Kumar, S. Suresh

doi:10.1016/j.matpr.2020.08.356

Cited by 11 publications

(7 citation statements)

References 15 publications

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“…ANOVA is a collection of statistical approach used to decide the noteworthy parameters on the responses under the group of process parameters [28]. The purpose of the current investigation is to identify the impact of control parameters including wt.% ZrO 2 (A), load (B), disc velocity (C), and sliding distance (D) on SWR during dry sliding wear test.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Balaji

Maniarasan

Alagarsamy³

et al. 2022

Journal of Nanomaterials

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Aluminium matrix composites (AMCs) are broadly used to change the monolithic materials in aviation, automotive, and defense industries owing to their superior characteristics such as specific strength with light weight, greater hardness, good wear resistance, and better thermal properties. This novel work was aimed at estimating the specific wear rate (SWR) of zirconium dioxide- (ZrO2-) filled AA8011 (Al-Fe-Si alloy) matrix composites. A Taguchi method and response surface methodology (RSM) were used to find out the optimum range of control parameters on SWR of proposed composites. The stir casting technique was used to fabricate the composite specimens with varying proportions (5, 10, and 15 wt.%) of ZrO2 particle addition. The wear tests were performed as per L27 orthogonal design by using a pin-on-disk apparatus under dry conditions. For this test, four control parameters such as wt.% of ZrO2, load, disc velocity, and sliding distance each at three levels were selected. Based on the experimental results, 15 wt.% of ZrO2, 29.43 N of load, 0.94 m/s of disc velocity, and 1000 m of sliding distance provide the minimum SWR of the developed composite sample. ANOVA result revealed that the load (49.04%) was the primary dominant factor for affecting the SWR, followed by wt.% of ZrO2 content (29.24%), respectively. Moreover, scanning electron microscopy (SEM) analysis was performed to study the wear mechanism of worn-out surface of the composite test specimens.

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Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Balaji

Maniarasan

Alagarsamy³

et al. 2022

Journal of Nanomaterials

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“…While other processes like SPS eliminate porosity and coarsen the microstructure of the material, spark plasma sintering minimizes the number of contaminants like H 2 and O 2 [7]. Numerous commercial uses have been described in the scientific literature for the usage of aluminum reinforced with a hard-secondary phase [8,9]. In engine cylinders, rotors, commercial products, and wear application systems for all these composite materials have been shown to be effective [10].…”

Section: Introductionmentioning

confidence: 99%

Process Optimization of Spark Plasma Sintering Parameters for Tungsten Carbide/Silicon Nitride/AA2219 Composites by Taguchi Method

Althahban

Gurusamy²,

Qahtani

et al. 2022

Advances in Materials Science and Engineering

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It is usual practice to optimize the various processing parameters in order to achieve well-organized and lucrative process conditions. For the creation of tungsten carbide/silicon nitride/AA2219 composites, sintering temperature, sintering pressure, dwelling time, and heating rate all must be optimized. Design of experiments and analysis of variance were employed to assess the factors’ contributions to density as well as microhardness response variables. It was decided to test the admixed powders and Vickers hardness tester, optical microscope, and Archimedes-based density testing to evaluate the sintered compacts. The optimum spark plasma sintering factors were a temperature of 500°C, a pressure of 30 MPa, a dwelling time of 8 minutes, and a heat rate of 160 °C/min, resulting in an extreme density of 2.71 g/cm3 and a maximum microhardness of 38.61 HV (0.38 GPa).

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“…Taguchi is a great technique for optimising parameters for composite development conferring to [7,8] have shown that a number of variables, including the quantity of strengthened material, processing temperatures, wettability agents, and stirring method, have an effect on the physical and mechanical characteristics of stir cast aluminium alloys. There have been numerous investigations on the mechanical characteristics of metal composites incorporating carbon nanotubes, which have been published [9,10].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Stir Casting Variables for Production of Multiwalled Carbon Nanotubes: AA7149 Composite

Refaai

Ravi²,

Prasath

et al. 2022

Journal of Nanomaterials

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Combining liquefied metals with multiwalled carbon nanotube-aluminium alloy 7149 composites enables the creation of intricate designs and mass production was manufactured using mechanical stir casting, thixoforming, and T6 heat treatment. Taguchi with two factorial levels was chosen to investigate the optimum parameter and affect variables such as carbon nanotube concentration, magnesium wettability, and ring mechanical stir duration were used in addition to a robust design of experiments. The response variables were the S/N ratio, hardness, and ultimate tensile strength. The fourth DOE run resulted in an optimised nanocomposite with 107.8 HV hardness and 278.1 MPa tensile strength that contained 0.75 wt.% magnesium and 1% multiwalled carbon nanotube and stirred time of 10 minutes. The as-forged AA7149 alloy had a lower hardness value (76.3%) but a higher ultimate tensile strength value (108.4%). It was demonstrated that combining thixoforming and heat treatment improves the mechanical properties of multiwalled carbon nanotube produced under mechanical stir casting conditions.

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Optimization of wear parameters of aluminium composites (AA7150/10 wt%WC) employing Taguchi approach

Cited by 11 publications

References 15 publications

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Process Optimization of Spark Plasma Sintering Parameters for Tungsten Carbide/Silicon Nitride/AA2219 Composites by Taguchi Method

Optimization of Stir Casting Variables for Production of Multiwalled Carbon Nanotubes: AA7149 Composite

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Optimization of wear parameters of aluminium composites (AA7150/10 wt%WC) employing Taguchi approach

Cited by 11 publications

References 15 publications

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Optimization and Prediction of Tribological Behaviour of Al‐Fe‐Si Alloy‐Based Nanograin‐Refined Composites Using Taguchi with Response Surface Methodology

Process Optimization of Spark Plasma Sintering Parameters for Tungsten Carbide/Silicon Nitride/AA2219 Composites by Taguchi Method

Optimization of Stir Casting Variables for Production of Multiwalled Carbon Nanotubes: AA7149 Composite

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Optimization of wear parameters of aluminium composites (AA7150/10 wt%WC) employing Taguchi approach