Central Composite Experimental Design Applied to the Dry Sliding Wear Behavior of Mg/Mica Composites

Raj, M. John Iruthaya; Manisekar, K.; Gupta, Manoj

doi:10.1115/1.4041073

Cited by 13 publications

(7 citation statements)

References 20 publications

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“…The CCD is the most preferred response surface experimental design for fitting the quadratic models. The general form of a response surface model based on CCD can be written, as shown in equation (2) [40].…”

Section: Response Surface Methodologymentioning

confidence: 99%

Prediction of dry sliding wear behaviour of China clay particles reinforced AA6082 matrix composites using response surface methodology and analysis of the worn surfaces

Bright¹,

Selvakumar²,

Sumathi³

2022

Surf. Topogr.: Metrol. Prop.

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This research work presents an attempt solemnly carried out to analyze and predict the wear behaviour of the cost-effective China clay particles reinforced AA6082 aluminium alloy composites. The combined effect of the independent variables (mass fraction of the reinforcement, applied load and sliding speed) on the wear loss and coefficient of friction of the composites were studied. The wear tests were conducted using a computerized pin on disc tribometer. For all the experiments the sliding distance was kept constant as 1500 m. In order to perform the experiments in an organized manner, the response surface methodology (RSM) was designated. The significant parameters which govern the wear loss and coefficient of friction were identified using the ANOVA (Analysis of variance) test. The regression equations developed to predict the response parameters (wear and coefficient of friction) were validated extensively by choosing several values of the independent variables within the design space. From the study, it was noted that RSM holds good reliability in the prediction of the wear behaviour of the composites. The composite materials exhibited better wear resistance with the increase in the incorporation of China clay particles. The worn-out samples were segregated as high, medium and low wear loss categories to analyze the worn surface morphology and to interpret the wear mechanism.

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Section: Response Surface Methodologymentioning

confidence: 99%

Prediction of dry sliding wear behaviour of China clay particles reinforced AA6082 matrix composites using response surface methodology and analysis of the worn surfaces

Bright¹,

Selvakumar²,

Sumathi³

2022

Surf. Topogr.: Metrol. Prop.

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“…The results indicated that dual ceramic reinforcement composites had better wear resistance than single ceramic reinforcement composites. Raj et al 16 used central composite design for the different levels of considered operating parameters such as load (5-25 N), reinforcement percentage (0-10%), sliding distance (500-2500 m) and sliding speed (1-5 m/s). The input parameters such as weight percentage of reinforcement and sliding distance were found to play a significant effect on wear rate.…”

Section: Introductionmentioning

confidence: 99%

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Dharmaraj

ARULSELVAN²,

Moshi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part E:

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Hybrid metal matrix composites are gaining more importance in recent years. In this current investigation, aluminium alloy (AA7075) composites have been prepared with nano tungsten carbide (WC) and molybdenum disulfide (MoS2) as reinforcements using stir casting method and investigated. The nano tungsten carbide particles were added into the matrix in the proportions 0%, 0.5%, 1%, 1.5% and 2%, and molybdenum disulfide was added in the constant proportion of 5 wt.% to the molten metal. The prepared Al-hybrid composite samples were tested for their hardness, compression and tensile strength. Microstructure examination has also been performed to understand the distribution pattern of nano tungsten carbide and molybdenum disulfide particles in the base matrix by scanning electron microscope. From the results, it was found that there was steady improvement in composite properties when compared with the base metal while adding WC and MoS2. Thus, the prepared AA7075/MoS2/WC composites were guaranteed for high strength, hardness and exceptional microstructure stability. Dry sliding wear behavior on AA7075/MoS2/WC composites was investigated with the aid of pin-on-disc apparatus. Grey Relational Analysis tool was employed to identify the optimal setting of process variables, which results in lower wear rate and COF. The significance of factors such as sliding distance, sliding velocity and load on the wear characteristics was investigated by means of ANOVA. ANOVA results unveiled that load was the majorly influencing factor in attaining optimal wear characteristics. The tested samples have been investigated using scanning electron microscopy and reported.

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“…Particle size, followed by reinforcement size, was the most vital factor in wear. However, it was noted that the sliding distance and load had an insignificant effect (John Iruthaya Raj et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using Taguchi technique

Udaya Prakash,

Ananth,

Jebarose Juliyana

et al. 2023

Front. Mech. Eng.

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Wear is prominent in sliding components, so tribology property plays a major role in automotive as well as in the aerospace industries. In this work, Aluminium alloy LM6/B4C/Fly Ash hybrid composites with three different weight percentages of reinforcement were fabricated using the low-cost stir casting technique, and the experiments were conducted based on the Design of Experiments (DoE) approach and optimized using Taguchi’s Signal to noise ratio (S/N) analysis. The analysis was conducted with process parameters like Sliding Speed (S), Sliding distance (D), load (L) and reinforcement percentage (R %), the responses are Coefficient of Friction (COF) and Specific wear rate (SWR). Aluminum alloy reinforced with 9 wt% hybrid (LM6 + 4.5% B4C + 4.5% Fly Ash) has a low density and high hardness compared with other composites and base alloys. The optimum parameters for obtaining minimum SWR are S - 1 m/s, D - 500 m, L - 45 N, and R% - 6 wt% Hybrid (3% Fly ash and 3% boron carbide). The optimum parameters for obtaining minimum COF are S - 1.5 m/s, D - 500 m, L - 30 N, and R% −9 wt% Hybrid (4.5% Fly ash and 4.5% boron carbide). Load (28.34%) is the most significant parameter for obtaining minimum SWR, and DL (31.62%) for obtaining minimum COF. SEM images of the worn pins show the various wear mechanisms of the AMCs. The hybrid composite produced is new and these may be used for piston liner and brake pad applications.

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Central Composite Experimental Design Applied to the Dry Sliding Wear Behavior of Mg/Mica Composites

Cited by 13 publications

References 20 publications

Prediction of dry sliding wear behaviour of China clay particles reinforced AA6082 matrix composites using response surface methodology and analysis of the worn surfaces

Prediction of dry sliding wear behaviour of China clay particles reinforced AA6082 matrix composites using response surface methodology and analysis of the worn surfaces

Mechanical characterization and frictional wear behavior analysis on nano tungsten carbide and molybdenum disulfide particles reinforced aluminium 7075 composites

Parametric optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using Taguchi technique

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