Optimization of Stir Cast Process Parameters for Better Mechanical Properties

Patil, G. V.; Patil, Maheshchandra

doi:10.17577/ijertv9is080192

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Kumar and Kumar (2017) investigated the influence of stir process parameters such as reinforcement fraction, stirring speed, processing temperature, and stirring speed on tensile strength, hardness, and impact energy in stir cast AA6063 metal matrix composites using the Taguchi approach. Patil and Patil (2020) investigated the effect of stir-casting process parameters such as stirring time, processing temperature, and stirring speed on the mechanical properties of Al6061 alloy and SiC/Gr 5 wt% each using the Taguchi technique.…”

Section: Introductionmentioning

confidence: 99%

Optimization and statistical modeling of the thermal conductivity of a pumice powder and carbonated coal particle hybrid reinforced aluminum metal matrix composite for brake disc application: a Taguchi approach

Ibrahim

YAWAS

DAN-ASABE

et al. 2023

Funct. Compos. Struct.

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Aluminium metal matrix composites have been gaining traction in recent years due to their good mechanical properties and low weight. Particulate reinforcements for the improvement of its properties have been explored. This research aimed to determine the optimal composition of the reinforcement content (pumice powder and carbonated coal particles) and processing parameters (stirring speed, processing temperature, and stirring time) on the thermal conductivity of the developed material and also to characterize the constituents using XRF, XRD, and SEM/EDX. The Taguchi optimization approach and regression analysis were used for the optimization and statistical analysis, respectively. The results revealed the optimum setting for stir casting process factors as regards thermal conductivity to be 2.5 %, 5.0%, 300 rpm, 850 °C, and 5 min for pumice powder, carbonated coal particles, stirring speed, temperature, and time, respectively. The obtained optimal thermal conductivity was 120.40 W/m°C which is a 131.54 % improvement of the conventional grey cast iron brake disc. The particulate reinforcements (pumice powder and carbonated coal particles) and the processing factors all had significant effects on the thermal conductivity of the material, with the carbonated coal particles having the highest percentage contribution of 16.51%, as established by the analysis of variance. A model for predicting the thermal conductivity was developed using regression analysis, and high prediction accuracy was established with R-Square, R-Square (adj), and R-Square (pred) values of 94.68 %, 88.60 %, and 79.94 %, respectively. The results of the characterization show the presence of hard compounds such as silica, iron oxide, and alumina in pumice powder and carbonated coal particles.

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Section: Introductionmentioning

confidence: 99%

Optimization and statistical modeling of the thermal conductivity of a pumice powder and carbonated coal particle hybrid reinforced aluminum metal matrix composite for brake disc application: a Taguchi approach

Ibrahim

YAWAS

DAN-ASABE

et al. 2023

Funct. Compos. Struct.

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“…The main effect plot for S/N ratio of microhardness is shown in Figure 4 and Table 5. The larger is better criteria is selected for optimization on stir casting process parameters on microhardness response [20]. The main effect plot for S/N ratio revealed that increasing boron carbide addition increases the microhardness of the AL7050/B 4 C composites.…”

Section: Resultsmentioning

confidence: 99%

Optimization on Stir Casting Process Parameters of Al7050/Nano-B4C Metal Matrix Composites

Ananth¹,

Krishnan²,

Thirugnanam³

et al. 2023

Journal of Nanomaterials

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Aluminum matrix composites are widely employed in aerospace, military, automobile, and transport applications. The high-strength with low-weight materials are required to fulfill the requirement of high-performance applications. The low-weight materials are reinforced with hard reinforcements to obtain high-strength-to-weight properties for using high-performance applications. The process parameters of fabrication technique define the mechanical and tribological properties. Many types of optimization tools are used for optimizing the process parameters of fabrication method. In this research, the aluminum alloy 7050 and boron carbide are selected as matrix material and reinforcement material. The fabrication of Al7050/B4C composites is produced by the stir casting method. The optimization on stir casting process parameters is done by using the Taguchi approach. The L9 orthogonal array is chosen for this investigation. The chosen input stir casting process parameters are wt% B4C, stirring time (10, 15, and 20 min), stirring speed (300, 350, and 400 rpm), and melting temperature (700, 750, and 800°C). The microhardness is selected as a valuable response parameter for optimizing the stir casting process parameters. The influencing stir casting process parameter sequence is determined by using mean table. The influencing parameters of stir casting on microhardness are stirring speed, stirring time, wt% B4C, and melting temperature. The 9 wt% of boron carbide addition increases the microhardness, and it is higher than the other wt%. The optimum combination of input process parameter combination is 9 wt% boron carbide, 750°C melting temperature, 350 rpm stirring speed, and 15 min stirring time (A3B2C2D2). The percentage of microhardness value improvement is 20.3%.

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Optimization of Stir Cast Process Parameters for Better Mechanical Properties

Cited by 2 publications

References 6 publications

Optimization and statistical modeling of the thermal conductivity of a pumice powder and carbonated coal particle hybrid reinforced aluminum metal matrix composite for brake disc application: a Taguchi approach

Optimization and statistical modeling of the thermal conductivity of a pumice powder and carbonated coal particle hybrid reinforced aluminum metal matrix composite for brake disc application: a Taguchi approach

Optimization on Stir Casting Process Parameters of Al7050/Nano-B4C Metal Matrix Composites

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