Assessments of Process Parameters on Cutting Force and Surface Roughness during Drilling of AA7075/TiB2 In Situ Composite

Parasuraman, S.; Elamvazuthi, Irraivan; Kanagaraj, G.; Natarajan, Elango; Pugazhenthi, A.

doi:10.3390/ma14071726

Cited by 19 publications

(11 citation statements)

References 34 publications

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“…Parasuraman et al [48] studied the optimisation of machinability of AA 7075/TiB2 composites; the parametric studies helped optimise the cutting forces and surface roughness during the drilling of composites, and the methodology adopted by the authors are in line with the statistical studies carried out in the present work to optimise the process parameters for stir casting the composites, subsequently followed by post-treatment to obtain maximum strength.…”

Section: Optimisation Studies For Ultimate Tensile Strength (Uts)mentioning

confidence: 70%

Influence of Heat Treatment and Reinforcements on Tensile Characteristics of Aluminium AA 5083/Silicon Carbide/Fly Ash Composites

et al. 2021

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The effect of reinforcements and thermal exposure on the tensile properties of aluminium AA 5083–silicon carbide (SiC)–fly ash composites were studied in the present work. The specimens were fabricated with varying wt.% of fly ash and silicon carbide and subjected to T6 thermal cycle conditions to enhance the properties through “precipitation hardening”. The analyses of the microstructure and the elemental distribution were carried out using scanning electron microscopic (SEM) images and energy dispersive spectroscopy (EDS). The composite specimens thus subjected to thermal treatment exhibit uniform distribution of the reinforcements, and the energy dispersive spectrum exhibit the presence of Al, Si, Mg, O elements, along with the traces of few other elements. The effects of reinforcements and heat treatment on the tensile properties were investigated through a set of scientifically designed experimental trials. From the investigations, it is observed that the tensile and yield strength increases up to 160 °C, beyond which there is a slight reduction in the tensile and yield strength with an increase in temperature (i.e., 200 °C). Additionally, the % elongation of the composites decreases substantially with the inclusion of the reinforcements and thermal exposure, leading to an increase in stiffness and elastic modulus of the specimens. The improvement in the strength and elastic modulus of the composites is attributed to a number of factors, i.e., the diffusion mechanism, composition of the reinforcements, heat treatment temperatures, and grain refinement. Further, the optimisation studies and ANN modelling validated the experimental outcomes and provided the training models for the test data with the correlation coefficients for interpolating the results for different sets of parameters, thereby facilitating the fabrication of hybrid composite components for various automotive and aerospace applications.

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Section: Optimisation Studies For Ultimate Tensile Strength (Uts)mentioning

confidence: 70%

Influence of Heat Treatment and Reinforcements on Tensile Characteristics of Aluminium AA 5083/Silicon Carbide/Fly Ash Composites

et al. 2021

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“…To prevent an incomplete reaction that could produce TiAl 3 particles, this is implemented. Mechanical properties deteriorate as a result of these intermediate TiAl 3 particles propensity to cluster with reinforcing particles [19][20][21][22][23]. After completion of reaction process, the molten slurry is poured into preheated mould by means of bottom pouring mechanism at a pouring temperature of 825 °C.…”

Section: +  +mentioning

confidence: 99%

Experimental investigation and characterization of titanium diboride reinforced AA6063 in-situ composites

Nandakumar¹,

Somasekaran²

2022

Mater. Res. Express

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Aluminum matrix composites have gained interest recently because they are more efficient, lighter, and less expensive. The purpose of this current study was to examine the effects of various casting operating conditions, including stirring temperature, stirring time, and stirring speed, on the casting process. Determining the optimum processing parameters to achieve significant outcomes could be the most daunting problem while casting a specimen. Box-Behnken design based on response surface methods was used to investigate the effects of stir casting factors on the mechanical properties of AA6063 - 4 % TiB2 composites. The response's real value, which includes hardness before heat treatment, hardness after heat treatment, and tensile strength, is reflected in the surface plot created by statistical software. F-ratio is often used in an ANOVA table to examine how operational variables affect properties of the material. Dispersion of the reinforcements mixture has been studied and characterized under scanning electron microscope and x-ray diffraction spectrometer. The optimum temperature, time, and rotational speed were 823.662°C, 15 minutes, and 300 rpm. Composite materials made from aluminium 6063 are extensively used in the fabrication of lightweight aircraft components like ribs and fuselages.

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“…Kayaroganam et al [10] used metaheuristic algorithm to optimize the drilling parameters of mica reinforced composite. Parasuraman et al [11] analyzed the drilling of TiB2 reinforced composite and reported that cutting force was increased according to the filler content. Kaviarasan et al [12] used artificial intelligence to predict the surface roughness of drilled hole in the Delrin material.…”

Section: Introductionmentioning

confidence: 99%

Extreme Gradient Boosting Regressor Solution for Defy in Drilling of Materials

Elango

Natarajan

Kaviarasan³

et al. 2022

Advances in Materials Science and Engineering

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Drilling is a quite common operation being performed in the manufacturing of components. Instrumental response in drilling is geometrical accuracy and surface integrity of the drilled parts. For the application where geometrical tolerance is very small, an operation is to be carried out very carefully. If not, rejection of drilled samples will be higher and consequently production loss will be higher. The use of prediction model in this scenario is much more appropriate and cost-effective. This research aimed to apply extreme gradient boosting (XGBoost) regressor to develop a drilling prediction model. Drilling experiments were conducted after developing design of experiments with twenty-seven unique sets. Experimental data analysis was then carried out on experimental data sets that have features such as speed, feed, angle, hole length, and surface roughness. After correlation analysis, the k-fold cross validation method was applied for parameterisation. Hyperparameters estimated from the k-fold cross validation were then applied to train and test the XGBoost regressor-based machine learning (ML) model. It is concluded from the model evaluation metric (R2) that the XGBoost regressor model has resulted 0.89 before tuning and 0.94 after tuning of the model, which is higher than the polynomial regressor and support vector regressor.

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Assessments of Process Parameters on Cutting Force and Surface Roughness during Drilling of AA7075/TiB2 In Situ Composite

Cited by 19 publications

References 34 publications

Influence of Heat Treatment and Reinforcements on Tensile Characteristics of Aluminium AA 5083/Silicon Carbide/Fly Ash Composites

Influence of Heat Treatment and Reinforcements on Tensile Characteristics of Aluminium AA 5083/Silicon Carbide/Fly Ash Composites

Experimental investigation and characterization of titanium diboride reinforced AA6063 in-situ composites

Extreme Gradient Boosting Regressor Solution for Defy in Drilling of Materials

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