FEM Simulation and Experimental Validation of Cold Forging Behavior of LM6 Base Metal Matrix Composites

Joardar, Hillol; Sutradhar, Goutam; Das, Nitai Sundar

doi:10.4236/jmmce.2012.1110100

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Rozovsky, Hahn, and Avitzur (1973) reported that the compression of a short cylinder between anvils is a much better test for metal working applications. The deformation behavior of solid cylinders of an aluminum alloy metal matrix composite under dry condition was estimated by Joardar, Sutradhar, and Das (2012). It was reported that a cylindrical preform can be successfully compressed to a height reduction by 28-32% without fracture.…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties of Aluminum-Copper(p) composite metallic materials

Madhusudan

Sarcar

Rao³

2016

Journal of Applied Research and Technology

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Composite metallic materials (CMMs) are prepared by dispersing copper particulates in aluminum matrix using stir-cast technique. Their behavior is compared with the alloy having similar composition. The effect of particulate composition is studied by varying the copper concentration between 5 and 15 wt%. Hardness increased with increasing particulate contents in both cast and homogenized conditions. Composites show a 13% drop in strength and 15% drop in strain compared to the alloy. With increasing reinforcement content, the strength increased and dropped. Agglomeration due to increased reinforcement contents may be the reason for the decrease in strength values. Microstructures corroborate the above results.

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Section: Introductionmentioning

confidence: 99%

Mechanical properties of Aluminum-Copper(p) composite metallic materials

Madhusudan

Sarcar

Rao³

2016

Journal of Applied Research and Technology

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“…The equations are arrived and comparison between the theoretical and experimental values is done. Hillol Joardar et al [4] studied to estimate the results of assail particle on the microstructure associate degreed mechanical performance of associate degree metallic element alloy composite (LM6/SiC) created by stir casting. The experimental results unit finally compared with those obtained by finite half simulation.…”

Section: Introductionmentioning

confidence: 99%

Experimental Results of SiC reinforced Al2O3 Matrix Ceramic Matrix Composites Validated with Finite Element Method

Malkapuram¹

2019

IJITEE

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In this paper, SiCp /Al2O3 composites were fabricated through directed metal oxidation process. Experimental results of these composites validated or compared with Finite Element Method (FEM). Finite Element has become one in all the foremost necessary tools offered to an engineer. The finite part methodology is employed to resolve advanced analysis issues. In this paper, Finite Element Method based ANSYS software is used to FEM model to determine mechanical properties of SiC reinforced Al2O3 matrix composite by changing volume fractions of SiC. The comparison of experimental results with Finite element analysis provides detailed information about the results of these comparisons. The FA was competent of predict the information for several scenario quite fine

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“…The silicon based aluminium alloy A413, which was chosen for this work, is associated with the theoretical density of 2.66 g/cm 3 . This alloy has been selected because of its good fluidity due to the presence of silicon content [1][2][3][4][5]. Also it is associated with excellent pressure tightness, good hot tear resistance, good castability, good machinability, high specific strength, and high corrosion resistance.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique

Soundararajan¹,

Ramesh²,

Sivasankaran

et al. 2015

Advances in Materials Science and Engineering

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Artificial Neural Network (ANN) approach was used for predicting and analyzing the mechanical properties of A413 aluminum alloy produced by squeeze casting route. The experiments are carried out with different controlled input variables such as squeeze pressure, die preheating temperature, and melt temperature as per Full Factorial Design (FFD). The accounted absolute process variables produce a casting with pore-free and ideal fine grain dendritic structure resulting in good mechanical properties such as hardness, ultimate tensile strength, and yield strength. As a primary objective, a feed forward back propagation ANN model has been developed with different architectures for ensuring the definiteness of the values. The developed model along with its predicted data was in good agreement with the experimental data, inferring the valuable performance of the optimal model. From the work it was ascertained that, for castings produced by squeeze casting route, the ANN is an alternative method for predicting the mechanical properties and appropriate results can be estimated rather than measured, thereby reducing the testing time and cost. As a secondary objective, quantitative and statistical analysis was performed in order to evaluate the effect of process parameters on the mechanical properties of the castings.

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FEM Simulation and Experimental Validation of Cold Forging Behavior of LM6 Base Metal Matrix Composites

Cited by 4 publications

References 13 publications

Mechanical properties of Aluminum-Copper(p) composite metallic materials

Mechanical properties of Aluminum-Copper(p) composite metallic materials

Experimental Results of SiC reinforced Al2O3 Matrix Ceramic Matrix Composites Validated with Finite Element Method

Modeling and Analysis of Mechanical Properties of Aluminium Alloy (A413) Processed through Squeeze Casting Route Using Artificial Neural Network Model and Statistical Technique

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