Application of Taguchi design method for optimization of spark plasma sintering process parameters for Ti-6Al-4V/
                    <i>h</i>
                    -BN binary composite

Abe, John Olorunfemi; Popoola, Olawale; Popoola, A. P. I.; Ajenifuja, Emmanuel; Adebiyi, Damilola Isaac

doi:10.1088/2631-8695/ab561c

Cited by 20 publications

(12 citation statements)

References 39 publications

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“…The results showed also that for deformation there was a statistical evidence that Cutting speed and intensity had a significant effect on the response as the p-values obtained were less than 0.05, 24 the values obtained were successively 0.031 and 0.026 but there was no evidence that pressure had a significant effect as the pvalue was 0.235. In the other hand, the results showed that there was no statistical evidence that the effects were significant for the heat affected zones.…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 86%

Optimisation of cutting parameters and surface deformation during thin steel sheets plasma processing using Taguchi approach

Gani

Ion

Yang

2021

Advances in Mechanical Engineering

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Plasma machining was investigated for suitability to cut thin sheets and the quality obtained was assessed. The aim of this research was to analyse the impact of the heat generated from plasma cutting on thin sheet surface deformation and heat affected zones. Plasma cutting was assumed to be noneffective for processing thin material, this technology was known primely for cutting medium to thick plates. Tremendous work was performed previously to improve the quality. However, there are no scientific publications assessed the effect of the plasma heat on thin material under 1 mm and optimised optimise the process to reduce the phenomena resulted to their minimal. The traditional cutting methods were found to be limited and time consuming. This research can be beneficial for vehicle convertors such as wheelchair accessible vehicles or similar industries where conventional cutting methods are still predominant. Therefore, an automated plasma cutter if properly optimised would be an effective solution. CNC Plasma cutter with an automated torch height adjustment was used for this experiment to process a 0.6 mm thick deep drawing cold rolled DCO1 steel grade material. Tests were carried out varying the plasma parameters speed, pressure and intensity, the quality obtained was assessed. Three-dimensional Triplescan Atos model was used to measure the maximum surface deformation. Samples were sectioned, mounted, polished, mirrored and etched with 5% Nital acid to expose the material grains. Results were gathered on a tables, then Taguchi method and Analysis of Variance were used to optimise and analyse the parameters. Results showed an effective cut for thin materials. The optimal values obtained were 8000 mm/min, pressure 70 psi and Intensity 25 A for sheet deformation whereas heat affected zones was cutting speed 8500 mm/min, pressure 80 psi and Intensity 30 A. Cutting speed and intensity had the highest impact on deformation however heat affected zones was influenced mainly by the cutting speed. The study suggested also that a mathematical model can be constructed to predict the response for both phenomena and assess the relationship strength, the method used was least square error, the tests showed that the models fit adequately and can be trusted to predict new values. Lastly, a vehicle chassis was used for the test, the results showed an effective cutting on painted material, no second processing was required. Sealant under the material required removal on plasma pathway to avoid excess smoke or fire generation. An estimation was made for the underbody chassis cut out processing time and it was found that automated plasma can reduce the cycle time to just above 40 min.

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Section: Analysis Of Variance (Anova)mentioning

confidence: 86%

Optimisation of cutting parameters and surface deformation during thin steel sheets plasma processing using Taguchi approach

Gani

Ion

Yang

2021

Advances in Mechanical Engineering

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“…The signi cantly reduced wear rates of the optimized samples, in contrast to the matrix as presented in Figure 9 (a-c), seemed to be as a result of the achievement of re ned grains, better pore lling and formation of solid matrix-reinforcement interfacial integrity producing increased hardness of the material. This remarkable development is typical of SPS operation promoted by the high temperature of sintering and low heating rate during the experiment [26,38]. Moreover, increased wear rate can be facilitated by large plastic deformation of the ductile matrix, whereas incorporating a harder reinforcing phase (h-BN) in the ductile matrix to some degree can lessen its ductility thereby reducing the propensity to wear easily [46,49].…”

Section: Densi Cation and Mechanical Behaviour Studiesmentioning

confidence: 92%

“…Calculation according to the rule of mixture was used to obtain the theoretical density and the experimental density was obtained by taking the average of six repeated measurements for each sample. Next, the densi cation of each sample was calculated by dividing the experimental density by the theoretical density and multiplied by 100% while the porosity was calculated by removing the densi cation value from 100% [37][38].…”

Section: Methodsmentioning

confidence: 99%

Microstructure and Properties of h-BN-Reinforced Titanium Alloy Matrix Composite Fabricated with Optimized Spark Plasma Sintering Parameters

Abe

Popoola

et al. 2021

Preprint

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The effects of different combinations of spark plasma sintering parameters: temperature, pressure, heating rate and holding time, at three levels on the microstructure, densification, mechanical and wear properties of Ti6Al4V/h-BN binary composite were considered in this work. The design method of Taguchi and signal-to-noise (S/N) ratios analysis and main effects of the parameters were employed to randomize and optimize the levels of the SPS parameters. The microstructure and phase features of the samples sintered were analyzed by using a scanning electron microscope, an optical microscope and X-ray diffractometer respectively. Archimedes’ method, Vickers microhardness tester and a tribometer were used to evaluate the densification, microhardness and wear profiles of the samples. The most important parameter levels for optimum quality characteristics of the sintered composite were obtained at temperature, pressure, heating rate and holding time of 1000 °C, 30 MPa, 100 °C/min and 10 min, respectively. Ti6Al4V/h-BN composite approaching complete theoretical densification of 99.54%, microhardness value of 7.03 GPa, 1.66 GPa yield strength, 2.29 GPa ultimate tensile strength and wear rate of 8.075 x 10-6 mm3/Nm, respectively was produced with the optimized process parameters. The microhardness improved by approximately 216% and the wear rate improved by 97.8% of the Ti6Al4V alloy matrix. The improved microstructure, higher densification, mechanical and wear properties of the optimized composite were promoted by high sintering temperature and low heating rate which ensured adequate diffusional mass transport, achievement of refined grains, better pore filling and formation of solid matrix-reinforcement interfacial integrity.

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“…This method has been previously used in optimization of processing parameters of both metal and polymer matrix composites and was reported effective for such purpose. 22,[29][30][31][32] The Taguchi optimization method uses factors and levels in design of experiment in orthogonal array. 29 The outcomes or responses of the designed experiment can be numerically modelled to determine the interactions and effects of factors on the parameters under investigation.…”

Section: Introductionmentioning

confidence: 99%

Influence of graphene–carbon nanotubes and processing parameters on electrical and dielectric properties of polypropylene nanocomposites

Uyor

Popoola

et al. 2021

Journal of Composite Materials

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In this study, the effect of carbon nanotubes (CNTs) and graphene nanosheets (GNs) on the microstructure, electrical conductivity and relative dielectric permittivity of polypropylene (PP) nanocomposites were investigated in relation to the melt compounding parameters. Although CNTs/GNs can significantly improve the conductivity and permittivity of PP nanocomposites, more significant results can be obtained by using optimal fabrication parameters. For optimal melt processing parameters using Taguchi optimization method, electrical conductivity and relative dielectric permittivity of about 3.08 × 10−5 S/m and 158.97 were achieved, whereas only about 1.34 × 10−11 S/m and 2.02 were measured for pure PP respectively. Therefore, this study showcased optimal melt compounding process parameters for the endless future research on PP-CNTs/GNs nanocomposites for various advanced engineering applications. This will also guide future research on the uniform use of melt fabrication parameters for proximity in comparison of results published on PP-CNTs/GNs nanocomposites.

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Application of Taguchi design method for optimization of spark plasma sintering process parameters for Ti-6Al-4V/ h -BN binary composite

Cited by 20 publications

References 39 publications

Optimisation of cutting parameters and surface deformation during thin steel sheets plasma processing using Taguchi approach

Optimisation of cutting parameters and surface deformation during thin steel sheets plasma processing using Taguchi approach

Microstructure and Properties of h-BN-Reinforced Titanium Alloy Matrix Composite Fabricated with Optimized Spark Plasma Sintering Parameters

Influence of graphene–carbon nanotubes and processing parameters on electrical and dielectric properties of polypropylene nanocomposites

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