Investigation of the effect of alumina and compaction pressure on physical, electrical and tribological properties of Al–Fe–Cr–Al<sub>2</sub>O<sub>3</sub> powder composites

Mohsin, Mohammad; Mohd, Aas; Suhaib, Mohd; Arif, Sajjad; Siddiqui, M. Arif

doi:10.1088/2053-1591/aa90a9

Cited by 9 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The size distribution of different powder particles (Al, Fe, Cr, and Al 2 O 3 ) was examined using a particle size analyzer and is presented in the author's previous published paper [30].…”

Section: Materials Selection and Powder Synthesismentioning

confidence: 99%

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Mohsin¹,

Qazi²,

Suhaib³

et al. 2021

Eng. Res. Express

Self Cite

View full text Add to dashboard Cite

In this research work, aluminum alloy (Al-20Fe-5Cr) matrix-based aluminum oxide (Al 2 O 3 ) reinforced composites were developed through the powder metallurgy (P/M) process. Effect of compaction pressure (200, 250 & 300 MPa) and wt.% of Al 2 O 3 (0, 10, 20 & 30 wt.) on tensile strength and percentage elongation has been analyzed through statistical and artificial neural network techniques (ANN). The mixture of Al-alloy powder particles and Al 2 O 3 particles were synthesized in a centrifugal ball mill for 20 min. Compaction of synthesized powder was carried in the standard tensile die using a uniaxial hydraulic pressing machine. Sintering was performed at temperature 580±20 °C for one hour in an argon gas environment using an electric tubular furnace. It was found that tensile strength enhanced significantly with the addition of Al 2 O 3 up to 20 wt.% and then declined sharply for the 30 wt.% of Al 2 O 3 at all compaction pressures. The highest tensile strengths were found for each wt.% of Al 2 O 3 at compaction pressure 300 MPa compare to other compaction pressures. Tensile strength increased from 105 to 158 MPa with the addition of 20 wt.% Al 2 O 3 and decreased to 142 MPa for 30 wt.% at 300 MPa compaction pressure. The improvement resulted from better compaction, leading to more plastic deformation, better packing, and high effective contact area. However, the percentage of elongation decreased from 23.2% to 2.2% with an increment of wt.% of Al 2 O 3 for compaction pressure 200 MPa, while for 300 MPa, its value drops from 25.8% to 6.5%. This depreciation can be reasoned for the reduction in ductile matrix content and dilute flowability of the Al matrix, which occurred due to brittle Al 2 O 3 . The statistical analysis using ANOVA revealed that the compaction pressure is the primary control factor influencing tensile strength by 90.3%. The feedforward network with a back-propagating gradient-descent error minimization training approach and mean squared error (MSE) as performance function was employed to model and predict tensile strength. The developed 3-layered multilayer perceptron (MLP) with 2-10-2 network architecture established a correlation between the inputs and outputs with minimum error (MSE) below 1% and maximum correlation coefficient (R) close to 1.

show abstract

“…The size distribution of different powder particles (Al, Fe, Cr, and Al 2 O 3 ) was examined using a particle size analyzer and is presented in the author's previous published paper [30].…”

Section: Materials Selection and Powder Synthesismentioning

confidence: 99%

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Mohsin¹,

Qazi²,

Suhaib³

et al. 2021

Eng. Res. Express

Self Cite

View full text Add to dashboard Cite

show abstract

“…The increasing trend of porosity can also be attributed to the alumina particles hardness. A detailed explanation about this phenomenon is presented elsewhere in earlier publication of authors [7].…”

Section: Density and Porositymentioning

confidence: 85%

“…Reinforcement alumina (Al 2 O 3 ) powder of 99% purity with an average particle size of 100 μm was obtained from MEPCO (Metal Powder Company) limited, India. Size distribution of different powder particles (Al, Fe, Cr and Al 2 O 3 ) has been examined using particle size analyzer and presented in authors previous published work [7]. Moreover, SEM images and XRD pattern of synthesized aluminum powder composites with different wt.% of Al 2 O 3 have been shown in figures 5 and 6.…”

Section: Materials and Composite Fabricationmentioning

confidence: 96%

“…Processing route and ceramic as reinforcement in light weight aluminium matrix composites play a significant role in increasing the end properties of composites. Amongst various processing routes, powder metallurgy method is mostly used by researchers due to low processing costs, uniform distribution of reinforcement particles in metal matrix, acquire true shaped components of complicated geometry easily and accurately [7][8][9]. Various reinforcing materials used in AMCs by many researchers are Al 2 O 3 [10][11][12], SiC [13], B 4 C [14], TiC [15], Zr 2 O 3 [16], AIN [17], and Si 3 N 4 [17].…”

Section: Introductionmentioning

confidence: 99%

“…Amongst these Al 2 O 3 is widely used in AMCs due to its density near to aluminium matrix material. Moreover, Al 2 O 3 is wear resistant; possess higher strength, stiffness and thermal conductivity; resistant to strong acid and alkali attack at elevated temperatures [7]. However, addition of Al 2 O 3 in AMCs enhances hardness which hinders machining operation and thus makes it costly [18].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental and modeling studies on dry sliding wear behavior of Alumina reinforced AMC

Mohsin¹,

Qazi²,

Faizan³

2021

Eng. Res. Express

Self Cite

View full text Add to dashboard Cite

In the present research work predicted properties of Aluminium Alloy Composites prepared through powder metallurgy technique have been examined using Artificial Neural Network (ANN) approach. The aluminium alloy (Al-20Fe −5Cr) matrix reinforced with aluminium oxide (Al 2 O 3 ) varying from 0-30 wt% with a step of 10 wt% were prepared. The green compacts prepared at three different compaction pressures viz. 470, 550 and 600 MPa were sintered at 440 °C for 30 min. Pin-on-disc test was performed to evaluate wear loss of the composites prepared. The influence of alumina varying weight percentage and different compaction pressure had been analyzed and tests were performed according to full factorial design. Analysis of variance (ANOVA) had been employed to predict the percentage contribution of various process parameters. The results indicated that the wear loss was mainly influenced by alumina percentage followed by compaction pressure by 92% and 8% respectively. For modeling and prediction of wear loss, a feed forward back propagation neural network was constructed and compared with experimentally calculated values. Both experimental and ANN predicted values of wear loss were in close correlation with each other with approximately (1-3) % error. RECEIVED

show abstract

Influence of Dry Sliding Wear Parameters on the Rate of Wear Al–Mg Matrix Composites Reinforced with Ternary Alloy Particulate

Reddy¹,

Ramana²,

Rahul³

et al. 2022

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Investigation of the effect of alumina and compaction pressure on physical, electrical and tribological properties of Al–Fe–Cr–Al₂O₃ powder composites

Cited by 9 publications

References 25 publications

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Experimental and modeling studies on dry sliding wear behavior of Alumina reinforced AMC

Influence of Dry Sliding Wear Parameters on the Rate of Wear Al–Mg Matrix Composites Reinforced with Ternary Alloy Particulate

Contact Info

Product

Resources

About

Investigation of the effect of alumina and compaction pressure on physical, electrical and tribological properties of Al–Fe–Cr–Al2O3 powder composites

Cited by 9 publications

References 25 publications

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique

Experimental and modeling studies on dry sliding wear behavior of Alumina reinforced AMC

Influence of Dry Sliding Wear Parameters on the Rate of Wear Al–Mg Matrix Composites Reinforced with Ternary Alloy Particulate

Contact Info

Product

Resources

About

Investigation of the effect of alumina and compaction pressure on physical, electrical and tribological properties of Al–Fe–Cr–Al₂O₃ powder composites