Optimization of Wear Behaviour of AA8011-Gr Composite using Taguchi Technique

Shankar, Balakrishnan; Nagaraj, P.M.; Anil, K.C.

doi:10.1016/j.matpr.2017.08.021

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…26 In the next step, the deviation sequence is calculated using equation ( 3) and both normalized and deviation sequences, as listed in Table 5. Furthermore, the gray relation coefficient is computed using equation ( 4), 27 which is in Table 6. This gray relation coefficient is further used as an output response in RSM to finally optimize the outputs.…”

Section: Resultsmentioning

confidence: 99%

Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method

Gajalakshmi¹,

Senthilkumar²,

Prabu

2019

Measurement and Control

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Experimental study on dry sliding wear properties of aluminum alloy 6026 were performed utilizing pin-on-disk wear testing machine, considering the wear parameters like the applied load on the pin and the rotational and track diameter of disk. Wear of the pin, coefficient of friction and frictional force were observed during the test procedure for analysis. The experimental trials were designed by L16 Orthogonal Array based on Taguchi’s design of experiments and a hybrid approach of gray relational analysis combined with response surface methodology was applied for optimizing the output responses. The optimum conditions obtained for lower wear, coefficient of friction and frictional force were 35.21 N load, 376 r/min speed of disk and 111.53 mm disk track diameter, respectively. Scanning electron microscopy image of specimens taken after testing shows that abrasive wear mechanism is the predominant mechanism of wear. Experiment of confirmation with optimum conditions shows that the result was nearer to the predicted results.

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Section: Resultsmentioning

confidence: 99%

Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method

Gajalakshmi¹,

Senthilkumar²,

Prabu

2019

Measurement and Control

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“…Since Mg's surface tension (0.599N/m) is lower than that of Al (0.760 N/m), the addition of Mg reduces the surface tension of the molten Al. The mechanical and tribological properties of both Al-Rmp and Al-Grp composites were examined and found higher UTS value and good wear resistance in Al-8% Rmp and Al-8% Grp composites [50,52] hence the hybrid composites series were prepared by keeping 8 wt. % for both reinforcements constant.…”

Section: Casting and Codingmentioning

confidence: 99%

Mechanical Behaviour and Fractured Surface Analysis of Bauxite Residue and Graphite Reinforced Aluminium Hybrid Composites

Anil

Kumaraswamy²,

Reddy³

et al. 2022

Frattura Ed Integrità Strutturale

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Composite materials application areas have gradually grown, allowing them to reach and conquer new markets from consumer products to specialized niche applications, advanced composite materials make up a significant portion of the engineered materials industry. The purpose of this study is to investigate the mechanical properties of Aluminum (Al), Red Mud particle (RMp), Graphite particle (GRp) hybrid composites. The different combinations of Rm and Gr wt. % were used to prepare Al-Rm-Gr and Al-Gr-Rm hybrid composites. The mechanical properties namely Ultimate tensile strength, Compressive strength and Hardness of prepared hybrid composites are tested to know the influence of reinforcements in Al-8011 alloy. Synthesis of Aluminum-Red Mud-Graphite hybrid composites done by Stir casting method. Drastic reduction in grain size (Grain refinement) was observed in Scanning Electron Microscopic images of fractured surfaces of the tensile specimens, with addition of RMp and GRp to the matrix alloy thus soft alloy is turned into hard and brittle material. Among all the compositions of hybrid composites series AG8R10 was observed to be higher compressive strength and hardness while AR8G10 has higher ultimate tensile strength.

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“…The hard particles in the PMMC, which are often made of ceramics like nA12O3, nSiO2, SiC, B4C, TiC, Si3N4, TiB2, MgO, and mullite [9], provide better mechanical qualities, wear resistance, and thermal stability. As additives, graphite, MoS2, and boron nitride are used to provide consistent friction, damping, and anti-seizure properties [10][11][12][13][14][15][16]. Aluminumbased PMMCs have been widely used in aircraft applications due to their low density, high thermal conductivity, and exceptional corrosion resistance [5,17].…”

Section: Introductionmentioning

confidence: 99%

Optimization and analysis of dry sliding wear behaviour of N-B4C/MOS2 unreinforced AA2219 nano hybrid composites using response surface methodology

Chitwadgi¹,

Siddesh²,

Shankar³

et al. 2022

Metall Mater Eng

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The effect of heat treatment on nano-size B4C particle reinforced hybrid composites is discussed in this paper. For this, hybrid reinforced AA2219 composites with 2% by weight nano B4C and 2% by weight MoS2 particulates were fabricated using a two-stage stir casting process, and the specimens were heat treated to assess their influence on wear behavior. Experiments were carried out to study the wear behavior by varying important factors such as aging temperature, load, and sliding distance. Response Surface Methodology (RSM) designed by Box-Behnken was used to identify the critical variables influencing wear rate and optimize wear behavior. To comprehend the wear mechanisms involved, an analysis of the worn surface was presented. Based on the analysis, a regression equation with a predictability of 97.2% was developed for the response to obtain the optimum wear rate. The following order effectively captures the relative importance of the various factors determining the alloy's wear resistance: sliding distance, load, and aging temperature. When compared to load and sliding distance, heat treatments via artificial aging in the temperature range of 200-240 °C have no significant effect on the wear resistance of hybrid AA2219 composites reinforced with n-B4C and MoS2 particulates. However, when a temperature range of 200-240 °C is considered, composites exhibit better wear resistance at the aging temperature of 240 °C with ice quenching.

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Optimization of Wear Behaviour of AA8011-Gr Composite using Taguchi Technique

Cited by 13 publications

References 6 publications

Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method

Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method

Mechanical Behaviour and Fractured Surface Analysis of Bauxite Residue and Graphite Reinforced Aluminium Hybrid Composites

Optimization and analysis of dry sliding wear behaviour of N-B4C/MOS2 unreinforced AA2219 nano hybrid composites using response surface methodology

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