Taguchi Method Research Articles

Effects of operating parameters on the performance of an embedded two-piston compressor system for green hydrogen

The hydrogen compressor is a key component in the refuelling station. As one type of hydrogen compressor, the ionic compressor applied in the refuelling station is essentially a liquid piston compressor. The structure and operating condition would significantly influence the system efficiency of the liquid piston compressor. This paper investigated the impact of three key operating factors on the compressor performance of a novel embedded two-piston compressor, based on which the optimal operating values were identified by the Taguchi method when the hydrogen was compressed from 12 to 45 MPa. It was revealed that the movement time ratio of Piston A was the dominating factor for the power consumption and specific consumption while the upward time ratio of Piston B was the most influential parameter for the mass delivered. The optimal combination was 0.4 for the movement time ratio of Piston A, 0.45 for the upward time ratio of Piston A and 0.5 for the upward time ratio of Piston B. Under the predicted optimal operating conditions, the lowest specific energy consumption was obtained as 2733.75 kJ/kg.

Enhancing multi-objective mix design for GGBS-based geopolymer concrete with natural mineral blends under ambient curing: A Taguchi-Grey relational optimization

Rising populations and industrial expansion necessitate sustainable alternatives to conventional cement-based concrete. Geopolymers, with their impressive mechanical properties, eco-friendliness, and potential for waste utilization, offer a promising solution. Yet, concerns like rapid setting and low workability limit their widespread adoption. This study addresses these challenges by optimizing a geopolymer concrete incorporating ground granulated blast furnace slag (GGBS) blended with bentonite and dolomite minerals. Employing the Taguchi method, we optimized the mix design considering key factors like binder content, mineral replacements, alkaline-to-binder ratio, and solution ratios. Grey-Relational Analysis identified the optimal mix with 10 % bentonite and dolomite replacement, a 0.55 alkaline-to-binder ratio, 12 M NaOH solution, and 425 kg/m3 cementing materials. This optimized mix exhibited significantly improved setting times, enhanced workability, and the highest compressive strength among all tested mixtures. Experimental validation confirms its effectiveness, highlighting its potential as a sustainable alternative. Importantly, this research explores GGBS as a replacement for commonly used Fly Ash, further advancing sustainable construction practices.

THE APPLICATION OF THE TAGUCHI METHOD FOR OPTIMIZING THE COMPRESSION STRENGTH OF PLA SAMPLES PRODUCED USING FDM

In this study, the Taguchi method was applied to optimize the compressive strength of PLA samples produced using Fused Deposition Modelling (FDM). The study used Taguchi L9 experimental design to optimize three different process parameters (wall thickness, filling pattern, and printing speed). S/N ratios and ANOVA methods were used to analyze the experiments. The results of the experiments using the Taguchi technique were analyzed according to S/N ratios and the parameter levels with the best results were determined. The best levels for wall thickness, filling pattern, and print speed parameters were determined and the effects of these parameters were analyzed. It was concluded that wall thickness was the most effective parameter and filling pattern and print speed were less effective. ANOVA analysis confirmed the influence of the parameters on the compressive strength. It was observed that wall thickness contributed the most (70.20%) and filling pattern contributed the second most (29.11%).

Single-crystal vs polycrystalline boron-doped diamond anodes: Comparing degradation efficiencies of carbamazepine in electrochemical water treatment

The ongoing challenge of water pollution by contaminants of emerging concern calls for more effective wastewater treatment to prevent harmful side effects to the environment and human health. To this end, this study explored for the first time the implementation of single-crystal boron-doped diamond (BDD) anodes in electrochemical wastewater treatment, which stand out from the conventional polycrystalline BDD morphologies widely reported in the literature. The single-crystal BDD presented a pure diamond (sp3) content, whereas the three other investigated polycrystalline BDD electrodes displayed various properties in terms of boron doping, sp3/sp2 content, microstructure, and roughness. The effects of other process conditions, such as applied current density and anolyte concentration, were simultaneously investigated using carbamazepine (CBZ) as a representative target pollutant. The Taguchi method was applied to elucidate the optimal operating conditions that maximised either (i) the CBZ degradation rate constant (enhanced through hydroxyl radicals (•OH)) or (ii) the proportion of sulfate radicals (SO4•−) with respect to •OH. The results showed that the single-crystal BDD significantly promoted •OH formation but also that the interactions between boron doping, current density and anolyte concentration determined the underlying degradation mechanisms. Therefore, this study demonstrated that characterising the BDD material and understanding its interactions with other process operating conditions prior to degradation experiments is a crucial step to attain the optimisation of any wastewater treatment application.

Parametric Optimization of Selective Laser Melted 13Ni400 Maraging Steel by Taguchi Method

Parametric Optimization of Selective Laser Melted 13Ni400 Maraging Steel by Taguchi Method

Biodiesel production and exploring properties of Datura stramonium L. oil with its optimization using combined approaches-Taguchi, grey relational analysis, and response surface methodology.

Biodiesel production through the synthesis of Datura stramonium L. oil is studied to explore the most efficient approaches to suggest an alternate feedstock for biodiesel production. The main objective of this work is to optimize the process variables of biodiesel synthesis by using some statistical approach (Taguchi method, grey relational analysis (GRA), and response surface methodology (RSM) analyzing three parameters, i.e., alcohol-to-oil molar ratio, catalyst (NaOH) concentration, and process temperature for achieving maximum biodiesel derived from Datura stramonium L. oil. The transesterification process is applied by using an ultrasonic-assisted technique. Grey relational analysis (GRA) was successfully applied with the Taguchi method resulting in the optimum combination of A2B1C1. Based on the findings, the best operating conditions for transesterifying are attained with the RSM approach consisting of a 5.697:1 molar ratio (level 2), 0.3 (wt.%) NaOH concentration (level 1), and 70 °C process temperature (level 1). With a value of 87.02%, these ideal operating conditions produce the maximum yield as compared to grey relational analysis (GRA) yields 83.99%. The obtained results have been verified through the characterization of oil and biodiesel as well. Also, the fuel qualities of DSL biodiesel were identified and assessed. DSL oil was found 137.6 degrees of unsaturation during fatty acid profile analysis. DSL biodiesel was found the best kinematic viscosity (4.2 mm2/s) and acid value (0.49) when compared to Karanja and palm biodiesel. D. stramonium L. was recognized as a suitable species for biodiesel feedstock according to the findings.

Optimization of additive manufactured Ti-based pyramidal lattice structure applied to interface strengthening of Mg/Ti bimetal composites

Mg/Ti bimetal composites were fabricated by ultrasonic-assisted solid−liquid compound casting with an additively manufactured Ti-based pyramidal lattice structure at the interface. The Taguchi method was carried out to optimize the lattice parameters. The optimized geometric parameters include: the strut diameter (d) is 1 mm, the ratio of strut length to diameter (l/d) is 3, and the ratios of the upper and lower node to diameter (d1/d and d2/d) are 2.5 and 2.5, respectively. The ratio of strut length to diameter is the most significant factor affecting failure strength. The failure strength of the Mg/Ti bimetal joint with the optimized lattice structure is 77.3 MPa. Experimental and simulated results show that the failure strength increases first and then decreases with the increase of l/d, and it reaches the peak value when l/d is 3.

Experimental Investigation of the Surface Roughness for Aluminum Alloy AA6061 in Milling Operation by Taguchi Method with the ANOVA Technique

The surface roughness of the machined parts is the most important parameter to predict the performance of mechanical components. Moreover, predicting the optimal machining parameters conditions is the preferable method for cost reduction and achieving the desired surface quality of the product. This study investigates three cutting parameters, such as depth of cut, spindle speed, and feed for the milling aluminium alloy AA6061, to predict the surface roughness quality. The experimental work utilized a manual milling machine with a coated carbide cutter. Furthermore, the experiments were arranged using the Taguchi L9 orthogonal array (OA) method. The average surface roughness (Ra) was measured and converted to signal-to-noise (S/N) ratio and then analyzed in the statistical method of analysis of variance (ANOVA). Finally, the optimal combination set speed, feed, and depth of cut was 2400 rpm, 30 mm/min, and 0.5 mm, respectively. Also, according to the ANOVA test, the most influential parameter was the spindle speed among the selected parameters, with the highest P value of (66.42%). In comparison, the lowest P value is a depth of cut (5.34%). Furthermore, spindle speed was the only significant factor statistically. By selecting a high spindle speed (2400 rpm), surface quality was enhanced, but the preferable level was low for depth of cut and feed.

Optimization of hydrogen purification from biomass‐derived syngas via water gas shift reaction integrated with vacuum pressure swing adsorption for energy storage

AbstractBiomass is one of the promising sources to produce green H2, which can be considered an energy storage medium. To produce high‐purity H2 from biomass‐derived syngas, this study implemented a two‐stage H2 purification process. In the first stage, a water gas shift reaction (WGSR) was performed to enhance the H2 concentration in the syngas. The Taguchi method was employed to analyze the influence of the operating conditions and maximize the H2 concentration in the water gas shift reaction product. The results suggested that reaction temperature is a more dominant factor for enhancing the H2 concentration than the molar steam/carbon monoxide (S/CO) ratio. In the second stage, vacuum pressure swing adsorption was employed to obtain the high‐concentration H2 using the product from the water gas shift reaction having the optimum H2 concentration. Using the adsorption pressure as the primary parameter, it was found that high H2 purity and recovery could be obtained from vacuum pressure swing adsorption operated at low adsorption pressures. Based on this study's results, the vacuum pressure swing adsorption unit's best outcome occurs during an adsorption pressure of 2 kg·cm−2 and a flow rate of 17 L·min−1. Under these conditions, 93.61% H2 purity, 31.63% H2 recovery, 4.86 mol H2·(kgads·h)−1 productivity, and 448.14 kJ·(kg H2)−1 energy consumption are obtained.

Parametric optimization corrosion erosive wear and XPS response of FeCrCoAlTiB and FeCrCoNiSiB coatings on Q235 steel substrate by HVOF spraying using taguchi method

In the study high-velocity oxy-fuel thermal spraying to create Fe32Cr21Co21Al16Ti5B5 and Fe43Cr16Co12Al14Ti5B10, Fe32Cr21Co21Ni16Si5B5 and Fe43Cr16Co12Ni14Si5B10 coatings on Q235 steel substrates. Jet-type testing is used to examine the coatings’ resistance to slurry wear. Researchers examined the surface to learn more about the erosion process. Taguchi analysis and a wear model confirm the significance of the selected important factors. The wear model’s proposed mechanism shows remarkable agreement with the data. Coating loss may be attributed to several causes, including mixed ploughing, and cutting, platelet development, abrasion grooves, and cracking. The outcomes showed that the effect speed was the main contributing variable, the contribution ratio reached 65% to 70%, for the impact velocity of coating no 1 to 4. In contrast, it is recognized that impact velocity > impingement angle > erodent feed rate > erodent size is the most important sequence. Micro-cutting, mixed cutting, and ploughing were the essential disintegration systems for all coatings at low impingement points. In contrast, platelets were detected under normal impingement angles, as confirmed by SEM analysis. Both coatings seem to form passivation films, as shown by their greater Ecorr values relative to the substrate. Fe, Co, Cr, Al, and O all show up as peaks in XPS analyses.

Investigation of the Effect of the Surface Treatment and Lubrication During Repeated Tightening on the Nut Coefficient of a Bolted Joint Using the Taguchi Method

Investigation of the Effect of the Surface Treatment and Lubrication During Repeated Tightening on the Nut Coefficient of a Bolted Joint Using the Taguchi Method

The influences of Keggin-type H3PW12O40 nanostructure on Polyurethane microfiltration membrane to reinforce screening organic pollutants from wastewater

Manifestly, unceasing growth industrialization has caused to produce the non-segregated phases, engendering complexity in wastewater remediation. Therefore, we endeavored to construct the electrospun Polyurethane (PU)-based Microfiltration (MF) membrane that the Keggin-type H3PW12O40 (KHPW) nanostructure embedded in it by simplified strategy; after that, the PU/KHPWx (x= 0.5, 1, 1.5, and 2 %wt) nanocomposite membranes executed to purify the emulsifier-stabilized Walnut oil (EWO). Fortunately, perfect wettability, controlled porosity, and high negative charge boosted the values of Permeated Water Flux (PWF) and Oil Rejection Efficiency (ORE), which equaled 2150 L.m−2.h−1 and 100 % for the 1400 mg.L-1 of EWO by the PU/KHPW2 membrane, respectively; after that, the fouling resistance parameter (i.e., the Flux Recovery Ratio (FRR)) improved to 62.18 % in pH = 9. Notably, the MB Removal Efficiency (MRE) surveyed to render the light-driven catalytic activities of KHPW, and the Taguchi method optimized the values of operational parameters. Hence, the MRE astonishingly elevated to 79.3 % by PU/KHPW2 at the ameliorated conditions under UV-light irradiation, conferring the self-cleaning merits to the PU/KHPWx samples. After reviewing previously published articles, these authentic observations about the multifunctional capabilities of PU/KHPW2 elucidated insights towards robust screening water pollutants, which discreetly could utilize it in the pre-treatment units of MF.

Crashworthiness design of novel CFRP functionally-graded conical square structures with variable circumscribed diameters

Crashworthiness design of novel CFRP functionally-graded conical square structures with variable circumscribed diameters

Designing Hollow Brick Waste Based Alkali Activated Composites by Taguchi Method

The use of waste materials in alkali-activated material technologies is important in terms of sustainability. The production of alkali-activated composites (AAC) with hollow brick waste (HBW) as a binder may contribute to solving existing environmental problems related to the depletion of natural resources. In this study, mortars were produced using different concentrations (6 M, 8 M, and 10 M NaOH) and Alkaline Activator/Powder Material (AA/PM) ratios of 0.30, 0.35, and 0.40 through the alkali activation method. The hollow brick waste (HBW) powder was obtained by grinding inactive bricks in brick factories. The prepared mortars were cured separately for each mixture at 90°C for 24 hours. Compressive and flexural strength tests were performed on the prepared perforated hollow brick waste-based composites. The Taguchi method was used to determine the optimum mixing ratios by conducting compressive and flexural strength tests on the produced AAC. To optimize the parameters determined using the Taguchi method, the best mixing ratios were determined using the L9 (3^2) orthogonal index. The compressive and flexural strengths of the mixtures were evaluated considering the signal to noise ratio "larger the better" and the highest compressive strength value was 63.669 MPa and the highest flexural strength value was 6.629 MPa according to the optimum values. According to the obtained results, it was determined that the AAC produced at 6 M NaOH and 0.30 AA/PM ratio exhibited the highest compressive and flexural strength values.

Optimization of waste tyre steel fiber and rubber added foam concretes using Taguchi method and artificial neural networks

This research presents a study on the waste tyre steel (WTS) and rubber particles (RP) added foam concrete using Taguchi method and Artificial neural networks (ANN) by revealing its potential utilization in construction industry. The fresh and hardened characteristics of foam concretes were experimentally tested. Twenty-five different samples were first prepared according to the Taguchi design and compressive and flexural strengths, dry density and thermal conductivity of the samples were optimized. A Quasi-Newton based ANN algorithm was proposed to obtain prediction equations for the flexural and compressive strength of foam concretes. ANOVA analysis was also conducted to determine the most important factors. The results showed that the combined utilization of WTS and RP decreases the harmful effect of RP on the strength properties of foam concretes. Taguchi optimization results were confirmed through validation tests. With the proposed ANN method, R2 values were obtained as 0.9775 for compressive strength, 0.9723 for flexural strength, 0.9654 for dry density and 0.9527 for the thermal conductivity measurements. Both Taguchi and ANN system were found to be suitable for the design and estimation of the responses.

ОПТИМІЗАЦІЯ РЕЖИМІВ ЛАЗЕРНОГО РІЗАННЯ НЕРЖАВІЮЧОЇ СТАЛІ МЕТОДОМ ТАГУЧІ

Today, laser cutting is widely used in the automotive, shipbuilding and other industries where aluminium, low-alloy and stainless steel are cut. The choice of a laser system for a cutting process is heavily influenced by criteria such as achieving high cutting speeds and maximising production productivity, which can help to achieve high quality cuts and eliminate the need for rework. Increasing the efficiency of the laser cutting process, as well as its flexibility and quality, can reduce production costs. Machining stainless steel is associated with a number of difficulties, which, in turn, are caused by the material's properties. That is why laser cutting is one of the most effective methods of processing stainless steel. The quality of manufactured parts is inextricably linked to cutting modes. The paper envisages the optimisation of stainless steel laser cutting modes using the Taguchi method. Such parameters of the cut as roughness, heat affected zone, and geometric shape deviation were studied. The studies were carried out on a Smart 3015 laser cutting machine. The control variables of laser cutting according to the Taguchi method and their influence on the response variables were determined. According to the results of the studies, it was found that the smallest deviations in geometric shape, thermal impact zone, and surface roughness are achieved at a laser speed of 40 cm/min, laser power of 1000 W, frequency of 50 Hz, and gas pressure of 0.5 MPa. In addition, the percentage effect of each cutting parameter on the response variables was determined. A study using the Taguchi method showed that 80-90% of the influence is exerted by the laser power.

An integrated CRITIC-COPRAS approach for multi-response optimization on AWJM of hybrid filler–reinforced polymer composite and its surface integrity

Composites have gained acceptance in an extensive range of applications owing to their unique characteristics. But, machining of these materials is often challenging due to improved bonding between matrix and fibre when fillers are added. Since the machinability is an important aspect for any material for its successful utilization, it is essential to analyse the effect of secondary phase on machinability. However, investigations on the effect of fillers on machinability of polymer composites are minimal. In this research, hybrid fillers, namely boron nitride (BN) and montmorillonite (MMT) nanoclay, were added to epoxy/glass fibre composite through compression moulding, in which quantity of MMT is fixed and BN is varied from 2 to 6 wt%. Abrasive water jet machining (AWJM) is a leading method for machining polymer composites in which transverse speed, stand-off distance, pump pressure and filler percentage are key factors and are considered as input variables. To assess the machinability, material removal rate (MRR), surface roughness (Ra) and kerf taper (Kt) are chosen as response variables. Experimental planning is done through Taguchi method, and Criteria Importance Through Intercriteria Correlation (CRITIC)-weighted Complex Proportional Assessment (COPRAS) technique is utilized for optimization. The results revealed that addition of BN reduces the MRR while it improves the surface finish and reduces the Kt. Transverse speed has the most influence over all the considered output responses, stand-off distance and water pressure mainly affect the MRR and Ra while filler addition mainly affects the Kt. The hybrid CRITIC-COPRAS approach–recommended optimal control factors resulted in 16.20 mm3/min MRR with 0.29° Kt and 3.86 µm Ra. The recommended optical condition can be utilized for effective machining of polymer composite with MMT/BN fillers.Graphical abstract

Pengaruh Parameter Proses Pada Pencetakan 3D Printing Terhadap Akurasi Dimensi Filamen Petg Menggunakan Metode Taguchi

3D printing technology is very widely used, especially in the industrial sector. In the 3D printing process, prototyping can be made in a short time. Fused Depositon Modeling (FDM) technology is a technique used to print products using materials and products that have ideal geometric characteristics. Based on the research that has been done, the authors conducted research on 3D Printing using PETG (Polyethylene Terephthalate Glycol) filament types with process parameters namely print temperature (245°C), (250°C), (255°C), infiil overlap percentage (50%), (60%), (70%), and layer height (0.05 mm), (0.10 mm), (0.15 mm). With the Taguchi L27(35) method for printing products using 3 parameters and 3 level in response to dimensional accuracy and transparency. This study aims to determine the dimensional accuracy of 3D printing product materials with PETG (Polyethylene Terephthalate Glycol) filaments with different parameters using the Taguchi Method and to find out how much they affect printing using PETG (Polyethylene Terephthalate Glycol) filaments with 3 process parameters tested are: print temperature, infiil overlap percentage, layer height, and with three levels that affect the testing of dimensional accuracy and transparency. Based on the experiments conducted in this study, it can be conclude that the highest dimensional accuracy for diameter is printed specimens with the parameter values print temperature (245°C), infiil overlap percentage (60%) and layer heights (0,05 mm, while the highest dimensional accuracy for height is printed specimens with the parameter values print temperature (245°C), infiil overlap percentage (70%) and layer heights (0,15 mm).

Investigation on the effect of corner error in WEDM taper cutting process of Ti–6Al–4V

ABSTRACT Wire Electrical Discharge Machining (WEDM) is a non-conventional manufacturing method known for producing high-quality surface finishes and relies on the condition that materials conduct electricity. However, corner inaccuracies arise in workpieces during corner cuts with this method. This study aims to investigate corner inaccuracies using a novel approach involving oblique cutting and considering parameters such as wire tension (WT), corner angle, taper ratio, nozzle gap, and dielectric flow rate (LQ). The lower and upper corners resulting from taper cutting are analyzed separately. Initially, the parameters were determined, and the experimental design was established using the Taguchi method. Subsequently, the Coordinate Measuring Machine (CMM) was employed to determine the point positions of the specimens. A unique software-based method was then utilized to analyze the obtained point positions, revealing deficiencies in the expected corner areas and exposing errors. Ultimately, the analysis of the results was conducted employing the ANOVA method, offering insights into the verification and outcomes of the conducted experiments. The study concludes that, when examining corner inaccuracies, the most influential parameters are wire tension and dielectric flow rate for both lower and upper corners in taper cutting.

Peningkatan Kuat bentur Produk 3D Printing Fused Deposition Modeling menggunakan Filamen Polypropylene

In the world of manufacturing technology there is the latest breakthrough called 3D Printing which is based on layer manufacturing. In making products, a method of adding material in layers is used, usually called additive manufacturing. The principle used in this manufacturing process technology is layered modeling, by converting 3D data directly from computer-aided design (CAD) into a physical model. Many manufacturing technologies have been developed to make prototypes according to needs, for example FDM (Fused Deposition Modeling). Setting factors and experimental levels is an important step in maximizing the quality of research level products referring to transparent materials formed from polypropylene filaments. The factors that vary are Nozzle Temperature, Bed Temperature, Print Speed, and Layer Height. This research design uses the Taguchi method. This research uses an L9 orthogonal matrix with 3 levels. Based on the results of the research carried out, we can conclude that in the impact strength test there is an increase in the results of the impact strength test with the most influential process parameters, respectively, namely Print Speed (35mm/s), Layer Height (0.3mm), Bed Temperature (97 °C) and Nozzle Temperature (215°C) using Polypropylene filament. So the strongest impact strength test value is in experiment no. 2 with an average value of 0.03370 Joules and the weakest is in experiment no. 1 with an average value of 0.02959 Joules.