Modelling and optimisation of hardness behaviour of sintered Al/SiC composites using RSM and ANN: a comparative study

Alam, Mohammad Azad; Ya, H. H.; Azeem, Mohammad Fazle; Hussain, Patthi; Salit, Mohd Sapuan; Khan, Rafaqat Ali; Arif, Sajjad; Ansari, Akhter Husain

doi:10.1016/j.jmrt.2020.09.087

Cited by 79 publications

(21 citation statements)

References 30 publications

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“…It is found by increasing the mixing time, the intensities of the peaks of composites are slightly decreased due to the plastic deformation of the particles, Figure 4. The x-ray diffraction results obtained are consistent with the existing literature [3,25]. It is observed in the x-ray diffraction pattern of composites sample that only Al and TiC phases are present, thus the synthesized powder is free from contaminates, Figure 4.…”

Section: Resultssupporting

confidence: 89%

“…The reduction in composite crystallite sizes is achieved due to the increasing the mixing time. Thus, the microhardness improvement of composites samples can also be attributed to the multiple phenomena like (i) Grain refinement of the matrix AA7075 (Hall-Petch strengthening), (ii) Obstacles by TiC particles during dislocations movement, (iii) Uniform distribution of TiC particles in the AA7075 matrix [25].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

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Investigating the effect of mixing time on the crystallite size and lattice strain of the AA7075/TiC composites

Alam

Azeem

et al. 2021

Materialwissenschaft Werkst

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With numerous reinforcements, aluminum and its alloys are finding growing applications in every sector of industry. Titanium carbide (TiC) is regarded as an outstanding reinforcing material as compared to widely used carbide particles because of its excellent physical and mechanical characteristics, as well as its especially good interfacial bonding (wetting) capacity with aluminum. In the present research work, the effect of the mixing time of the matrix and reinforcement powders has been investigated on the crystallite size and lattice strain of the AA7075–5 wt.% TiC composites. The mechanical properties of the developed composites were also investigated in terms of microhardness values. X‐ray diffraction and scanning electron microscopy (SEM), transmission electron microscopy (TEM), particles size distribution analysis and x‐ray energy dispersive spectroscopy (EDS) of the synthesized powder samples were done to see the effect of mixing time on their microstructures. The increase in mixing time led to a homogeneous distribution of 5 wt.% of TiC particles, a decrease in particles clustering. The considerable grain refining was confirmed, which reflected a reduction in particle size originating from a prolonged mixing time. The significant improvement in the crystallite size and microhardness of the produced composites were achieved with increasing mixing time.

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Section: Resultssupporting

confidence: 89%

Section: Mechanical Propertiesmentioning

confidence: 99%

Investigating the effect of mixing time on the crystallite size and lattice strain of the AA7075/TiC composites

Alam

Azeem

et al. 2021

Materialwissenschaft Werkst

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“…Based on the statistical evaluation, the quadratic model was found to be significant, with the value of the coefficient of determination R 2 approaching 0.80. After the model selection, 3D surface plots illustrating the correlation between design factors and responses were analyzed [ 54 ]. These plots were used to comprehend the behavior of all the responses.…”

Section: Methodsmentioning

confidence: 99%

Curve Fitting for Damage Evolution through Regression Analysis for the Kachanov–Rabotnov Model to the Norton–Bailey Creep Law of SS-316 Material

et al. 2021

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In a number of circumstances, the Kachanov–Rabotnov isotropic creep damage constitutive model has been utilized to assess the creep deformation of high-temperature components. Secondary creep behavior is usually studied using analytical methods, whereas tertiary creep damage constants are determined by the combination of experiments and numerical optimization. To obtain the tertiary creep damage constants, these methods necessitate extensive computational effort and time to determine the tertiary creep damage constants. In this study, a curve-fitting technique was proposed for applying the Kachanov–Rabotnov model into the built-in Norton–Bailey model in Abaqus. It extrapolates the creep behaviour by fitting the Kachanov–Rabotnov model to the limited creep data obtained from the Omega-Norton–Bailey regression model and then simulates beyond the available data points. Through the Omega creep model, several creep strain rates for SS-316 were calculated using API-579/ASME FFS-1 standards. These are dependent on the type of the material, the flow stress, and the temperature. In the present work, FEA creep assessment was carried out on the SS-316 dog bone specimen, which was used as a material coupon to forecast time-dependent permanent plastic deformation as well as creep behavior at elevated temperatures and under uniform stress. The model was validated with the help of published experimental creep test data, and data optimization for sensitivity study was conducted by applying response surface methodology (RSM) and ANOVA techniques. The results showed that the specimen underwent secondary creep deformation for most of the analysis period. Hence, the method is useful in predicting the complete creep behavior of the material and in generating a creep curve.

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“…From the design point of view, the width of the PV receiver and acceptance half-angle are specified as the independent design parameters, whereas the concentration ratio, CPC height, and width of entry aperture are the design responses. The response surface modeling (RSM) approach can be used to develop appropriate approximating empirical models describing the relation between the independent design parameters and the corresponding response variables of a system [6] . The developed empirical models can then be used for the prediction of responses with adequate accuracy.…”

Section: Data Descriptionmentioning

confidence: 99%

Dataset on the effect of receiver size and acceptance half-angle on the aperture width and height of compound parabolic concentrator for low-concentrating photovoltaic applications using RSM

et al. 2021

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The combined effect of design control factors on the response variables gives valuable information for geometric design optimization of the compound parabolic concentrator. This study presents the data related to the statistical modeling and analysis of variance for aperture width and height of a low concentration symmetric compound parabolic concentrator designed for photovoltaic applications. The design matrix was generated using the response surface modeling approach. The geometric design equations of the proposed concentrator were developed and solved analytically using MATLAB. The empirical models were developed to establish relationships between the control factors and response variables of the proposed system. The analysis of variance was conducted for two significant response variables. The developed statistical models can be used to predict the selected response variables within the permissible range. The presented data can be used for statistical modeling and design optimization of the two-dimensional symmetric compound parabolic concentrator.

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Modelling and optimisation of hardness behaviour of sintered Al/SiC composites using RSM and ANN: a comparative study

Cited by 79 publications

References 30 publications

Investigating the effect of mixing time on the crystallite size and lattice strain of the AA7075/TiC composites

Investigating the effect of mixing time on the crystallite size and lattice strain of the AA7075/TiC composites

Curve Fitting for Damage Evolution through Regression Analysis for the Kachanov–Rabotnov Model to the Norton–Bailey Creep Law of SS-316 Material

Dataset on the effect of receiver size and acceptance half-angle on the aperture width and height of compound parabolic concentrator for low-concentrating photovoltaic applications using RSM

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