Fabrication and optimization of AA7075 matrix surface composites using Taguchi technique via friction stir processing (FSP)

Butola, Ravi; Ranganath, M S; Murtaza, Qasim

doi:10.1088/2631-8695/ab4b00

Cited by 50 publications

(23 citation statements)

References 34 publications

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“…AMMC can be fabricated through various processes ranging from liquid metallurgy processing and solid metallurgy processing, some liquid metallurgy processing are compos casting, stir casting, liquid infiltration etc. [4]. Out of all liquid metallurgy processing ways out there, stir casting is one of the most flexible as it allows us react in case of change, less expensive and have the higher production rate [5].…”

Section: Introductionmentioning

confidence: 99%

An experimental analysis of tensile, hardness and wear properties of aluminium metal matrix composite through stir casting process

et al. 2020

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Among several methods to fabricate Aluminium metal matrix composites, stir-casting technique is used for large-scale production due to its being less expensive. This research is concerned with the fabrication of Aluminium composites with SiC and Jute Ash Particles, for sake of producing a cost-effective composite with enhanced properties. Wear behaviour was studied using pin on disc tribometer and it was found that wear resistance increases with-addition of reinforcement particles. Fabricated composite samples showed almost 4 times better wear resistance compared to base material. Matrix metal reinforced with SiC showed the best wear resistance of all fabricated samples. Coefficient of friction significantly decreased with the presence of reinforcement due to formation of mechanical mixed layer. Tensile Strength was escalated with the introduction of reinforcement as load is transferred to strongly bonded reinforcement particles. Microhardness was enhanced with the introduction of reinforcement and Sample 2 with SiC as reinforcement showed the best microhardness. Microstructure and fractography of the base metal and fabricated composites was analyzed by Scanning Electron Microscope (SEM).

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Section: Introductionmentioning

confidence: 99%

An experimental analysis of tensile, hardness and wear properties of aluminium metal matrix composite through stir casting process

et al. 2020

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“…FSP is majorly used for the introduction of certain reinforcement particles in a material leading to the production of a surface composite that results in an improvement in properties of the material. According to the latest research, the process parameters contribute a lot towards microhardness of surface composites of FS processed materials, confirming that the most influential process parameters are rotational speed, reinforcement type and tool profile [35]. It was concluded that B4C should be considered as a better reinforcement material in comparison to SiC and RHA for improving the microhardness value of the composites, the value increased by 1.5 to 1.6 times from that of the workpiece material.…”

Section: Microstructural Evolutionmentioning

confidence: 88%

Evaluating the Effect of Process Parameters on FSP of Al5083 Alloy Using ANSYS

Sahdev¹,

Himanshu²,

Butola³

et al. 2021

ACSM

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Friction stir processing (FSP), compared to other solid-state processing methods, is a one-step process that attains refinement and homogeneity in its Microstructure. The complex configuration of various kinds of welds in FSP and their 3-D (threedimensional) nature makes it tough to develop an overall system of ruling equations for theoretically analysing the functioning of the friction stir processed materials. The experimental trials are usually expensive and time-consuming. These hurdles can be overcome often by doing numerical analysis. The mechanical and microstructural characteristics of the Stir-Zone can be precisely supervised by enhancing the parameters of tool design, material properties, parameters of friction stir processing, and active heating and cooling. In this study, the significance of process parameters during FSP of Aluminium 5083 and the role of numerical analysis using ANSYS Workbench in the prediction of material behaviour have been discussed.

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“…Several studies are carried out to find out the optimal process parameters for FSP/FSW using various techniques such as the Taguchi technique, response surface methodology (RSM), etc. 10,11 Mallieswaran et al 10 employed RSM for designing the number of experiments for the FSW process. It is observed that the developed regression model is capable of giving the optimal values of process parameters.…”

Section: Introductionmentioning

confidence: 99%

Machine learning application for evaluating the friction stir processing behavior of dissimilar aluminium alloys joint

Verma

Msomi

Mabuwa

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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This paper reports on the employment of the machine learning (ML) techniques, namely support vector machine (SVM), artificial neural networks (ANN), and random forest (RF), for predicting the tensile behavior of friction stir processed (FSP) dissimilar aluminium alloys joints (6083-T651 and 8011-H14). The dissimilar aluminium joints are fabricated using the friction stir welding (FSW) process. After that, the friction-stir welded joints are subjected to the FSP procedure at different combinations of process parameters. The rotational speed, traverse speed, and tilt angle are used as the input parameters, while tensile strength and grain size are used as the output parameters. In addition, three performance characteristics (i.e., coefficient of correlation (CC), mean absolute error (MAE), and root mean square error (RMSE)) are used to check the adequacy of the developed model of ML techniques. It is observed that support vector machine_radial basis function kernel is the most accurate modeling technique for predicting the tensile behavior of processes samples. Furthermore, the optical microscope is also utilized to check the grain size of the nugget zone (NZ) of the weld bead for FSP. It is found that the minimum grain size (i.e., 5.06 µm) is obtained for the FSP sample and this grain size corresponded to the high ultimate tensile strength (UTS). Moreover, the fractographic analysis showed the ductile behavior of FSW and FSP samples.

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Fabrication and optimization of AA7075 matrix surface composites using Taguchi technique via friction stir processing (FSP)

Cited by 50 publications

References 34 publications

An experimental analysis of tensile, hardness and wear properties of aluminium metal matrix composite through stir casting process

An experimental analysis of tensile, hardness and wear properties of aluminium metal matrix composite through stir casting process

Evaluating the Effect of Process Parameters on FSP of Al5083 Alloy Using ANSYS

Machine learning application for evaluating the friction stir processing behavior of dissimilar aluminium alloys joint

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