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Optimization of the Stirring Parameters of AZ91Mg-based Stir Casted Hybrid Composites using Taguchi and ANN

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Title Optimization of the Stirring Parameters of AZ91Mg-based Stir Casted Hybrid Composites using Taguchi and ANN
 
Creator Singh, Kamal Kant
Mangal, Dharamvir
 
Subject Artificial neural network
Mg-Hybrid composites
Stirrer optimize
VSSC technique
Taguchi approach
 
Description 407-417
In the current research, the fabricated Mg hybrid composites amalgamate with the vacuum-based squeezed stir casting
process having TiC and Al2O3 reinforcement’s in which AZ91Mg-alloy is the base material. The study includes the processing
parameters of the vacuum-based squeezed stir casting method (such as stirring time, stirrer depth, and stirring speed) that have
been varied and then investigates their influential effect by using the L16 orthogonal Taguchi approach. By considering these
parameters, the tribo-mechanical properties are also optimized like porosity, ultimate strength, and rate of wear loss of
Mg-hybrid composites. The result reveals a significant association between processing parameters and optimized tribomechanical
properties. The results signify that the processing parameters are best optimized at processing parameters of
500 rpm of stirring speed, 5 min of stirring time, and 50 mm of stirrer depth and the optimized tribo-mechanical properties are
0.4% porosity, 245 MPa of ultimate strength, and 0.0011 mm3 per min is the loss of wear rate. However, the ANOVA results
contribute that the stirrer depth has the most significant processing parameter compared to other optimized parameters. This
research also includes an artificially designed networking model which validates the designated set of empirical data. Thus due
to their suitability for abrasion wear AZ91-hybrid composite gives a new divergence towards the designing parts of minuscule
airplanes used in surveillance applications such as ailerons and wing flaps.
 
Date 2023-04-03T10:04:58Z
2023-04-03T10:04:58Z
2023-04
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61658
https://doi.org/10.56042/jsir.v82i04.59672
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(04) [April 2023]