Journal articles: 'TAGUCHI DOE'

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Islam, M. N., and A. Pramanik. "Comparison of Design of Experiments via Traditional and Taguchi Method." Journal of Advanced Manufacturing Systems 15, no. 03 (July 26, 2016): 151–60. http://dx.doi.org/10.1142/s0219686716500116.

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This paper presents a case study on comparison of Design of Experiments (DOE) via traditional and Taguchi methods in terms of efficiency. First, a three-level, four-parameter, full factorial DOE was conducted for finding the effects of machining parameters on the surface roughness (arithmetic average) of parts produced by turning operation. The results were analyzed applying average response, Taguchi’s [Formula: see text]/[Formula: see text] ratio, and Pareto ANOVA. Subsequently, the same data was analyzed applying Taguchi’s L9 orthogonal array. The comparison of two results revealed that despite an 88.9% savings of experimental runs with the Taguchi method, both methods produced similar results.

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Kowang, Tan Owee, and Choi Sang Long. "Design of Experiment – An Integration of Fisher, Taguchi and Shainin DOE Methodology." Applied Mechanics and Materials 789-790 (September 2015): 1201–6. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.1201.

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Design of experiment (DOE) is the focal collective of quality technique and is widely used in Research and Development (R&D) organization to optimize product design parameters. There are three main DOE approaches that commonly adopted by R&D companies, which are the classical Fisher’s DOE, Taguchi DOE and Shainin DOE. This paper explores how these three main DOE approaches could be integrated to optimize product design parameters in a Research and Development company. The paper starts with enlightenment of the common DOE steps, follows by discussion of issues faced by the Research and Development company during the implementation of the three DOE approaches in product design. The paper subsequently illustrates how the three DOE approaches could be integrated as a new methodology for optimization of product design parameters. The integrated DOE methodology presented in this paper offers an alternative and effective way to conduct DOE in a dynamic product design and development environment.

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Rafidah, Ali, A. Nurulhuda, A. Azrina, Y. Suhaila, I. S. Anwar, and R. A. Syafiq. "Comparison Design of Experiment (DOE): Taguchi Method and Full Factorial Design in Surface Roughness." Applied Mechanics and Materials 660 (October 2014): 275–79. http://dx.doi.org/10.4028/www.scientific.net/amm.660.275.

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Statistical quality improvement techniques such as design of experiments (DOE) and Taguchi methods form an essential part of the search for improved product performance. This paper applies both the Taguchi and full factorial design techniques to highlight the application and to compare the effectiveness of the Taguchi and full factorial design processes as applied on surface roughness. Besides that, to determine the optimal parameter setting for each factor in surface roughness. For this study, we used two different probes of Mahr Surf XR20 which was MFW 250 tracing arm 6851804 (25μm) and tracing arm 6851806 (50μm). The main effect and interaction plot had been analyzed by using MINITAB (software). The experiment result showed that full factorial design performs better than Taguchi method.

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Yue, Cui Hong, and He Lin Zou. "Optimization Based on ANSYS Electric Numerical Method for a Novel MEMS ESI-MS Ion Focusing Device." Key Engineering Materials 483 (June 2011): 727–30. http://dx.doi.org/10.4028/www.scientific.net/kem.483.727.

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In order to improve the ion transmission efficiency from atmospheric pressure MEMS electrospray (ESI) ion source to mass spectrometry (MS), a novel ion focusing device has been developed and simulated by FEM method (ANSYS). The ion focusing device consists of two electrodes with progressively smaller internal diameters to which electric potential are applied. Taguchi DOE has been used in the optimization process of the structures and critical dimensions for the device. Postprocessing has been implemented by Kriging interpolation method. The shapes of equipotential lines are measured to obtain the response for Taguchi DOE by CAD software. The significance of each factor and optimized structure has been obtained by signal-to-noise (S/N) ratio and means variance analysis. The simulation results will provide good reference for experiments.

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M. S., Ranganath, and Vipin V. "Optimization of Process Parameters in Turning Operation Using Taguchi Method and Anova: A Review." International Journal of Advance Research and Innovation 1, no. 1 (2013): 42–56. http://dx.doi.org/10.51976/ijari.111306.

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This paper investigates the parameters affecting the roughness of surfaces produced in the turning process for the various materials studied by researchers. Design of experiments were conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness. The results of the machining experiments were used to characterize the main factors affecting surface roughness by the Analysis of Variance (ANOVA) method Taguchi‟s parametric design is the effective tool for robust design it offers a simple and systematic qualitative optimal design to a relatively low cost. The Taguchi method of off-line (Engineering) quality control encompasses all stages of product/process development. However the key element for achieving high quality at low cost is Design of Experiments (DOE). In this paper Taguchi‟s (DOE) approach used by many researchers to analyze the effect of process parameters like cutting speed, feed, and depth of cut on Surface Roughness and to obtain an optimal setting of these parameters that may result in good surface finish, has been discussed.

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Hernadewita, Hernadewita, I. Rochmad, Hendra Hendra, Hermiyetti Hermiyetti, and E. N. S. Yuliani. "An analysis of implementation of Taguchi method to improve production of pulp on hydrapulper milling." International Journal of Production Management and Engineering 7, no. 2 (July 31, 2019): 125. http://dx.doi.org/10.4995/ijpme.2019.10163.

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<div><p class="TtuloAbstract">Abstract: Taguchi method is one of a design of experimental (DOE), by using statistical approach to optimize the process parameters and maintaining the minimum variability and also improve the quality of product. Based on data characterisation, Nominal is Best in Taguchi methods is suitable application in this study. Its describe the procedures and steps that occur in DOE to find an optimum quality parameter corresponding quality characterisation. Nominal is the best applied in milling process of pulp on the hydrapulper with pulp freeness 650 Canadian Standard Freeness (CSF). The result is shown by orthogonal array, Signal-to-Noise (S/N) Ratio and analysis of variances (ANOVA). Three factors cosidered in this study and namely the composition of pulp (waste paper), pulp consistency and milling time. The experiment will conducted after determination of each level and the appropriate orthogonal array was selected. After measuring of pulp freeness produced by the pulp milling on the hydrapulper, then Signal-to-Noise (S/N) Ratio is calculated. As the conclussion, the factors and levels of optimum freeness obtained, pulp composition in level 1 (100%), pulp consistency at level 2 (8%) and milling time factor in level 2 (45 minutes). The result of experimental verification was interpreted in the conclusion.</p></div><p class="Abstract"><strong>Keywords:</strong> Taguchi; DOE; pulp; hydrapulper; Nominal is the Best; ANOVA</p>

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Aizuddin, Z. A. Z., B. A. Aminudin, P. S. Sanda, and R. M. S. Zetty. "Resistance Spot Welding Process Optimization Using Taguchi Robust Method for Joining Dissimilar Material." Applied Mechanics and Materials 835 (May 2016): 248–53. http://dx.doi.org/10.4028/www.scientific.net/amm.835.248.

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Steel sheet joining were dominantly by resistance spot welding (RSW) method. It is the most implemented in automotive mass production in which the heat is applied to the materials. Joining different material with different properties is a challenge. Thicker material needs more current and time. Meanwhile, the thinner material may burn and weaken if the excessive parameters apply. The purpose of this study is to identify the optimum spot weld parameters for joining dissimilar materials with different thickness that involve high tensile strength steel and low carbon steel in the automotive application. In this study, weld parameters with varying electrode forces, welding currents, and welding times are analyzed by applying a Taguchi robust method for the design of experiment (DOE). The L9 orthogonal array has been chosen due to the particular material specimen and time constraint. In the analysis, the higher value of signal-to-noise (S/N) ratio indicates the good responses of testing parameter when the level changed. Base of the plotted S/N ratio graph for each factor, Taguchi robust method has suggested that A3 (5000V), B3 (25 cycle), and C2 (150N) as the optimum weld parameters. The confirmation test afterward, finally proved that the Taguchi robust method was a liable DOE method and has been successfully optimized the spot weld parameters.

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Fotovvati, Behzad, Madhusudhanan Balasubramanian, and Ebrahim Asadi. "Modeling and Optimization Approaches of Laser-Based Powder-Bed Fusion Process for Ti-6Al-4V Alloy." Coatings 10, no. 11 (November 18, 2020): 1104. http://dx.doi.org/10.3390/coatings10111104.

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Laser-based powder-bed fusion (L-PBF) is a widely used additive manufacturing technology that contains several variables (processing parameters), which makes it challenging to correlate them with the desired properties (responses) when optimizing the responses. In this study, the influence of the five most influential L-PBF processing parameters of Ti-6Al-4V alloy—laser power, scanning speed, hatch spacing, layer thickness, and stripe width—on the relative density, microhardness, and various line and surface roughness parameters for the top, upskin, and downskin surfaces are thoroughly investigated. Two design of experiment (DoE) methods, including Taguchi L25 orthogonal arrays and fractional factorial DoE for the response surface method (RSM), are employed to account for the five L-PBF processing parameters at five levels each. The significance and contribution of the individual processing parameters on each response are analyzed using the Taguchi method. Then, the simultaneous contribution of two processing parameters on various responses is presented using RSM quadratic modeling. A multi-objective RSM model is developed to optimize the L-PBF processing parameters considering all the responses with equal weights. Furthermore, an artificial neural network (ANN) model is designed and trained based on the samples used for the Taguchi method and validated based on the samples used for the RSM. The Taguchi, RSM, and ANN models are used to predict the responses of unseen data. The results show that with the same amount of available experimental data, the proposed ANN model can most accurately predict the response of various properties of L-PBF components.

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Vishal Kaushik and Naren Shankar. "Statistical Analysis using Taguchi Method for Designing a Robust Wind Turbine." Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 100, no. 3 (December 31, 2022): 92–105. http://dx.doi.org/10.37934/arfmts.100.3.92105.

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The current paper presents the tolerance and parameter design for robust wind turbine. By utilizing the traditional Taguchi method along with its extensions, there is a way of designing a robust wind turbine by considering multiple objectives, constraints and design variables. The concept of design of experiment (DOE) i.e.; Taguchi Method is used to evaluate the constrained and unconstrained problems for the optimization. The current work produces an inexpensive and simpler approach for robust vertical axis wind turbine. DOE (Taguchi Method) of L-9 Orthogonal Array having four parameters along with their three levels i.e; type of NACA aerofoil, Reynolds number, Mach number and Angle of attack are utilized for the optimization and to derive the corresponding optimal values of CL, CD and CP. The parameters like coefficient of lift, drag and power for the wind turbine was determined by Q-Blade software, which is use for designing of wind turbine blades. From the obtained results the inferences drawn were: for CL the major impact was due to Reynolds number and least was due to angle of attack, for CD the major and minor impacting factors were angle of attack and Mach number respectively and for CP the most and least influenced parameters were Reynolds number and Mach number respectively. Also, for obtaining the optimized parameters, the Grey based Taguchi method was utilized which has the combination of orthogonal arrays and grey relational analysis. The analysis showed that the NACA0021 has the maximum lift coefficient of 1.0361 and the minimum drag coefficient of 0.02190 in the case of NACA0021 aerofoil.

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Lokhande, Pravin R., Sachin S. Salunkhe, and Sethuraman Balaguru. "Numerical simulation and experimentation of endodontic file using Taguchi DoE." International Journal for Simulation and Multidisciplinary Design Optimization 12 (2021): 32. http://dx.doi.org/10.1051/smdo/2021032.

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The endodontic file is a tapered, needle shape body used for the preparation of curved human root canals. During the preparation, process files get failed due to the locking action offered by the canal wall. The present study aimed to find the fatigue life of endodontic files at 23°, 33° and 43° root canal curvature angles. Four brands of files were selected for the present study viz. Hyplex CM, Pro-Taper Next, Hero Shaper, Pro-File Vortex. The strain life analysis done using ANSYS showed that the Hyplex CM file gives the highest fatigue life at 23°, 33° and 43° root canal curvature angles. Therefore, Hyplex CM file was selected for DoE Taguchi Optimization study. Each experimental reading was conducted on X Smart Plus experimental setup under purely rotary and combined reciprocating-rotary motion, at 500 rpm, 600 rpm and 700 rpm and 23°, 33° and 43° root canal curvature angles. Hyplex CM file given maximum fatigue life at 23° root canal curvature angle and 500 rpm speed of rotation. But if file motion is combined rotary-reciprocating, life reduces. The ANNOVA study showed that P-value and significance F are very small, which represented that the regression model is effective.

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Nagarajan, Ramamurthy, and V. Rahul. "Optimization of Post-CMP Ultrasonic Cleaning Parameters By Taguchi DOE." ECS Transactions 19, no. 7 (December 18, 2019): 111–25. http://dx.doi.org/10.1149/1.3123780.

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Sorkhabi, Tannaz, Mehrab Samberan, Krzysztof Ostrowski, Paulina Zajdel, Agata Stempkowska, and Tomasz Gawenda. "Electrospinning of Poly (Acrylamide), Poly (Acrylic Acid) and Poly (Vinyl Alcohol) Nanofibers: Characterization and Optimization Study on the Effect of Different Parameters on Mean Diameter Using Taguchi Design of Experiment Method." Materials 15, no. 17 (August 25, 2022): 5876. http://dx.doi.org/10.3390/ma15175876.

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In this study, nanofibers of poly (acrylic acid) (PAAc), polyacrylamide (PAAm) and poly (vinyl alcohol) (PVOH) were prepared using the electrospinning technique. Based on the Taguchi DOE (design of experiment) method, the effects of electrospinning parameters, i.e., needle tip to collector distance, polymer solution concentration, applied voltage, polymer solution feed rate and polymer type, on the diameter and morphology of polymer nanofibers were evaluated. Analyses of the experiments for the diameters of the polymer nanofibers showed that the type of polymer was the most significant factor. The optimal combination to obtain the smallest diameters with minimum deviations for electrospun polymer nanofibers was also determined. For this purpose, the appropriate factor levels were determined as follows: polymer PAAm, applied voltage 10 kV, delivery rate 0.1 mL/h, needle tip to collector distance 10 cm, and polymer solution concentration 8%, to obtain the thinnest nanofibers. This combination was further validated by conducting a confirmation experiment, and the average diameter of the polymer nanofibers was found to be close to the optimal conditions estimated by the Taguchi DOE method.

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Celestino, Sherwin, and Joseph Auresenla. "Use of the Taguchi Design of Experiments to Optimize the Parameters of Cleaning Machines for Sensitive Plastic Products." ASEAN Journal of Chemical Engineering 2, no. 1 (October 20, 2008): 97. http://dx.doi.org/10.22146/ajche.50808.

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The Taguchi Design of Experiments (DOE), an optimization technique, was used to establish stabilized operating parameter settings for an ultrasonic cleaning machine for a new and very dirt sensitive plastic product referred to as type A plastic produced in a company in the Philippines. The optimization process is done in actual industrial setting. Taguchi DOE defined quality as minimum variation around the target specification of a product. The matrix used for the project is the La 27 orthogonal array wherein the experiment is comprised of eight runs with seven maximum possible factors at two levels. After each experimental run, the percentage ejection rate was monitored as the measurable characteristic of the finished product. Since rejection rate was the parameter used, the ultimate value closer to zero is better (the smaller the better). Confirmation runs showed that the percentage of rejection rate has improved from 62% to 17% when the established optimized machine parameters were used. Moreover, production yield has increased from 75% to more than 90% for product type A.

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Li, Nan, Gui Cui Fu, Chun Pei, and Dong Zhang. "Optimization of the Heat Sink for the Power Component by Taguchi Method." Advanced Materials Research 538-541 (June 2012): 1983–86. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.1983.

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With the development of manufacture technology, it is a critical problem for the reliability of avionic devices that components have to operate at high heat flux. And the package of components cannot meet the requirements of the heat dissipation. Therefore, it is essential to add heat sink on the top of power components. This paper presents the use of Taguchi method in optimizing the heat sink. The heat sink is designed to balance the weight and the temperate distribution of the component. At first, several parameters of the heat sink, including the base width, the base length, the fin height, the fin number, are chosen to be controllable factors. The machining errors are the uncontrollable factors. Then, four orthogonal arrays are used to lead the design of experiments (DOE). Finite-volume method (FVM) is used to calculate the case temperature of the component. Basing on the results generated by the Taguchi DOE method, the optimal design of heat sink can be chosen. Additionally, the heat sink can be optimized, while the reliability of component and device can be improved by using this method.

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Manafi, Babak, Mehdi Saeidi, Vahid Shatermashhadi, Karen Abrinia, and Ghader Faraji. "Study on the deformation behavior of polyamide under the backward extrusion process." Journal of Polymer Engineering 35, no. 7 (September 1, 2015): 675–87. http://dx.doi.org/10.1515/polyeng-2014-0246.

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Abstract This study explores the deformation behavior of polyamide in the process of backward extrusion at room temperature by both finite element (FE) and design of experiment (DOE) procedures. The distributions of effective strain through the length and the thickness of processed polyamide tube by cold backward extrusion are investigated and compared with ductile metals. The die parameters are comprised of slope angle, corner radius of punch and container which are selected as input parameters. The Taguchi DOE approach is exploited in order to decrease repeated simulations, after which 16 results are carried out. Analysis of variance is performed on simulation results, and it is proved that the corner radius of punch has the greatest effect among die parameters in the mentioned process, in reducing the processing load. The influence of this parameter is obtained as 98%. Eventually, the optimum condition is proposed. Also, the deformation behavior and the probability of failure based on the normalized Cockroft-Latham criterion are studied under this condition.

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Prashar, Anupama. "Integration of Taguchi and Shainin DOE for Six Sigma improvement: an Indian case." International Journal of Quality & Reliability Management 34, no. 7 (August 7, 2017): 898–924. http://dx.doi.org/10.1108/ijqrm-08-2015-0116.

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Purpose The purpose of this paper is to demonstrate the application of Six Sigma/design of experiments (DOE) hybrid framework for improving damping force (DF) generation process in a shock absorber assembly unit. Design/methodology/approach The study adopted a case study research method with single case (holistic) design. This research design was found to be appropriate for testing the projected framework for integrating DOE approaches within Six Sigma define-measure-analyze-improve-control (DMAIC) cycle. In the proposed framework, Shainin’s component search technique (CST) was deployed at the “analysis” phase of DMAIC for the first stage filtering of process parameters, followed by the use of Taguchi orthogonal arrays (OA) at the “improve” phase for identifying the optimal setting of the parameters. Findings The application of Shanin CST facilitated in ascertaining that assembly component (piston with rebound stopper) was causing the variation and not the assembly process. Further, the use of Taguchi OA at the improve phase allowed the collection of necessary data to determine the significant piston parameters with minimum experimentation (eight experimental runs in this case as opposed to the expected 64) and analysis of variance on the collected data facilitated the selection of parameter settings to optimize the “critical to quality”, i.e. rebound DF. Originality/value This study provided a stimulus for wider application of integrated DOE approaches by the engineering community in the problem solving and the identification of parameters responsible for poor performance of the process.

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Kiatcharoenpol, Tossapol, and Thanakarn Vichiraprasert. "Application of Taguchi Method and Shainin DOE Compared to Classical DOE in Plastic Injection Molding Process." International Journal of Intelligent Engineering and Systems 12, no. 3 (June 30, 2019): 11–19. http://dx.doi.org/10.22266/ijies2019.0630.02.

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Tamașag, Ioan, Cornel Suciu, Irina Beșliu-Băncescu, Constantin Dulucheanu, and Delia-Aurora Cerlincă. "Experimental Study on the Possibilities of FDM Direct Colour Printing and Its Implications on Mechanical Properties and Surface Quality of the Resulting Parts." Polymers 14, no. 23 (November 28, 2022): 5173. http://dx.doi.org/10.3390/polym14235173.

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The present paper aims to contribute to the methodology of 3D printing in-process colouring and study its implications and impact on the tensile strength and surface quality of the obtained parts. The proposed study was based on a Taguchi L27 DOE plan using standardised EN ISO 527-2 type 1B-shaped specimens, in which four factors on three levels were considered. The obtained results highlight the possibility of using the presented in-process colouring method. Different materials (PLA, PLA+, and PETG) with varying infill densities (15%, 30%, and 50%), colour distribution (33%, 66%, and 99%), and colour pigments (blue, green, and red) were studied and the results highlighted that the most influential parameter on the tensile strength of the parts was infill density, followed by the tested material, colour pigment, and colouring percentage; regarding surface roughness, the most influential parameter was infill density, followed by colouring percentage, colour pigment, and material. Moreover, the values resulting from the Taguchi DOE were compared to uncoloured parts, from which it could be concluded that the colouring of the parts had direct implications (negative for tensile strength and positive for surface roughness).

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Ramesh Babu, S., P. Karthik, S. Karthik, S. Arun Kumar, and Joel Marris. "Optimization of Process Parameters during Friction Stir Welding of Dissimilar Aluminium Alloys (AA 5083 & AA 6061) Using Taguchi L9 Orthogonal Array." Applied Mechanics and Materials 592-594 (July 2014): 630–35. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.630.

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In the present study AA5083 and AA6061 were welded using friction stir welding process by controlling the various welding parameters viz. rotational speed, welding speed and Tool axial force for two different tool profiles. Aluminum alloys 5083 and 6061 have similar properties and they both are widely used in marine industries and other transportation industries. In this work the effect of various parameters on the mechanical properties viz. tensile strength and impact strength were studied. In this study the Taguchi approach was used as a design of experiment to set optimum parameters. The experiments were done using Taguchi’s L9 orthogonal array. Analysis of variance test was also performed to obtain the effect of the parameters on the weld strength. Both DOE and ANOVA were performed using MINITAB software.

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Raguraman, D., D. Muruganandam, and L. A. Kumaraswamidhas. "Friction Stir Welding of Aluminum and Magnesium Alloys—Experimental Investigation and Optimization Using Hybrid Grey Relational Analysis and Principal Component Analysis." Journal of Computational and Theoretical Nanoscience 15, no. 2 (February 1, 2018): 509–20. http://dx.doi.org/10.1166/jctn.2018.7111.

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Friction stir welding of dissimilar materials is investigated experimentally in this work and optimization is performed by applying a hybrid Taguchi-Grey relational analysis-Principal component analysis to maximize the tensile strength and hardness of the weld bead. Two dissimilar metals AA6061 and AZ61 is friction stir welded and considered for the experimentation. Experimental matrix is designed using Taguchi's Design of Experiment (DOE). Optimum inputs rotational speed, axial load and transverse speed is obtained by applying the hybrid optimization technique. Statistical analysis of Multi Response Performance Index (MRPI) through Analysis of Variance (ANOVA) shows that axial load is the significant parameter that contributes by 75.67% towards MRPI, followed by transverse speed and rotational speed. Confirmation experiment with optimum condition produces a better friction stir welding joint with higher tensile strength and hardness.

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Deniz, Fatih. "Optimization of Biosorption Conditions for Color Removal by Taguchi DOE Methodology." Environmental Progress & Sustainable Energy 32, no. 4 (December 26, 2012): 1129–33. http://dx.doi.org/10.1002/ep.11740.

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Sao, Satish kumar sao. "OPTIMIZATION OF PROCESS PARAMETERS IN ROLLING OPERATION FOR MANUFACTURING OF THERMOMECHANICALLY TREATED BAR USING MINITAB AND MATLAB SOFTWARE." Journal of Manufacturing Engineering 17, no. 1 (March 1, 2022): 020–24. http://dx.doi.org/10.37255/jme.v17i1pp020-024.

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At low cost, designing high-quality products and process is a challenge to the engineers. For the manufacturing of TMT bars, the critical quality parameter is yield strength. This study aims to choose the optimal variables that will achieve the needed yield strength. In this research work, the use of the Taguchi Method and the concept of DOE (Design of experiment) for optimization of Thermo Mechanical Treatment Process parameter. In the plant, readings have been taken by Taguchi Method and by using MINITAB and MATLAB Software to find optimal combination factors. For optimizing the process parameters ANOVA, S/N ratio (Signal to noise ratio), and orthogonal array have been utilized. Optimum values have been obtained with the help of graphs as well as a confirmation experiment.

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Umapathy, Vishnuja, and Bhaskar Govindaswamy Bhavani. "Pocket Milling of AISI 1045 Steel using Abrasive Water Jet Machining by Varying Contours." Revista de Chimie 73, no. 2 (May 2, 2022): 62–74. http://dx.doi.org/10.37358/rc.22.2.8520.

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Abrasive water jet machining (AWJM) is an innovative machining technology recognized for cutting tougher materials smoothly. This study investigates the significance of AWJM parameters on surface roughness (SR) and material removal rate (MRR); while machining AISI1045medium carbon steel. Pocket milling has been done on the material; pockets of definite size/specifications are machined and associated MRR and SR are investigated. The Input parameters considered are Standoff distance (SOD), Cutting feed, Pressure. Experimental parameters are analyzed as per Taguchi method (DOE). The interaction effects of input process parameters are studied through 3D contour plots. ANOVA is used to determine the influencing parameter, and it has been verified that the ideal combination of Taguchi process parameters satisfies the actual machining of material.

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Ku Ahmad, Ku Zarina, Ahmad Haji Sahrim, Mou'ad A. Tarawneh, and Prakash R. Apte. "Optimization of Tensile Properties of Epoxy/Nanoclay/MWNT Nanocomposites by Taguchi Method." Advanced Materials Research 428 (January 2012): 3–6. http://dx.doi.org/10.4028/www.scientific.net/amr.428.3.

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In this study, nanoclay and multi-wall carbon nanotubes have been used as a dual filler in an epoxy matrix. In the design of the experiment (DOE) the Taguchi Method was selected to study the effect of the factors involved in this study. The effect of the clay/MWNT ratio, types of solvent, clay cation, composition of LENR, cure time and cure temperature on tensile properties of the epoxy nanocomposites were investigated. The confirmation experiment obtained from Taguchi analysis, achieved 57% improvement in tensile strength. X-ray diffraction (XRD) and transmission electron microscopy (TEM) revealed the presence of intercalated and aggregated structures. Due to the lower crosslink density of the system, a decrease in decomposition temperature and glass transition temperature was observed in the optimum sample.

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Anvari, Maesomeh, and Mohammad Reza Safari Motlagh. "Enhancement of 2,3-Butanediol Production byKlebsiella oxytocaPTCC 1402." Journal of Biomedicine and Biotechnology 2011 (2011): 1–7. http://dx.doi.org/10.1155/2011/636170.

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Optimal operating parameters of 2,3-Butanediol production usingKlebsiella oxytocaunder submerged culture conditions are determined by using Taguchi method. The effect of different factors including medium composition, pH, temperature, mixing intensity, and inoculum size on 2,3-butanediol production was analyzed using the Taguchi method in three levels. Based on these analyses the optimum concentrations of glucose, acetic acid, and succinic acid were found to be 6, 0.5, and 1.0 (% w/v), respectively. Furthermore, optimum values for temperature, inoculum size, pH, and the shaking speed were determined as 37°C, 8 (g/L), 6.1, and 150 rpm, respectively. The optimal combinations of factors obtained from the proposed DOE methodology was further validated by conducting fermentation experiments and the obtained results revealed an enhanced 2,3-Butanediol yield of 44%.

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Anthony, Stephen, and Jiju Antony. "Academic leadership and Lean Six Sigma." International Journal of Quality & Reliability Management 33, no. 7 (August 1, 2016): 1002–18. http://dx.doi.org/10.1108/ijqrm-03-2015-0047.

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Purpose – The purpose of this paper is to demonstrate the ability to researchers of using design of experiments (DoE) as a structured and systematic approach to performing systematic literature reviews. The authors demonstrate a simple case study illustrating the application of DoE in executing a systematic literature review on two popular topics in higher education: academic leadership and Lean Six Sigma. Design/methodology/approach – The methodology involves the systematic literature review of linking academic leadership with terms such as Lean, Six Sigma, Total Quality Management, Maturity Model and Continuous Improvement. The main tool used to structure the systematic literature review is a Taguchi Orthogonal Array design, specifically an L16 grid and the method is verified by conducting another review, replacing the term academic leadership with simply leadership. Findings – The approach identified at first no research papers linking the terms; however, when academic leadership was replaced with university, 19 research papers where discovered. The verification exercise, linking just leadership with the other search string generated over 1,000 results – demonstrating that the tool can find large volumes of articles if they exist, the search was completed for a ten year time frame – 2004 to 2014. Research limitations/implications – The case study focussed on a field which is known to have little current research and the verification exercise deliberately targeted a known large body of research. The authors will continue to use the approach and refine the technique over time. Practical implications – This approach would help any researcher despite of their discipline to identify opportunities and gaps in the current literature. Originality/value – The paper shows how DoE can be used in an academic research-based process. No other literature review approach currently exists which uses Taguchi approach to DoE to filter the search criteria.

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Haldar, Ruby, and Santanu Duari. "Optimization of Process Parameters in CNC Turning of Copper and Aluminium Alloy Using Taguchi Approach." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1124–31. http://dx.doi.org/10.22214/ijraset.2022.41462.

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Abstract: This paper manages the optimization level comparison of the metal copper (Cu) and aluminium (Al) bar by utilizing the Taguchi strategy with the orthogonal array (L27) powerful plan. The yield of the improvement is from the turning of the copper and aluminium bar utilizing a CNC machine. Taguchi strategy is an adaptable strong plan procedure that is utilized in numerous ventures known for its high interaction quality, upkeep and advancing the nature of the item soundness. It is an incredible and proficient strategy for upgrading the exhibition of different mechanical assembling measures. The machining boundaries (speed, feed rate, depth of cut) of both the materials copper and aluminium is taken as a comparison for accomplishing the base surface roughness by utilizing the Taguchi strategy for DOE and ANOVA to accomplish the optimization level for the best quality item for minimal price in the manufacturing processes. Three level of parametric esteems have been picked as input parameters to get critical ideal yield results for the materials. In the wake of examining the information and ascertaining the signal to noise ratio (S/N) the last ideal levels of each input parameters are acquired to look at the best outcomes. Keywords: Surface roughness, Taguchi method, CNC turning, Optimization.

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Madderla Sandhya, D. Ramasamy, Irshad ahamad Khilji, Anil Kumar, S. Chandramouli, and G. Vinod Kumar. "Optimization of process parameters in machining of nimonic super-alloy on EDM using genetic algorithm." Maejo International Journal of Energy and Environmental Communication 2, no. 1 (March 25, 2020): 35–44. http://dx.doi.org/10.54279/mijeec.v2i1.244951.

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This project aims to investigate and predict the optimal choice for each EDM parameter using Taguchi Method by conducting a limited number of experiments on “Nimonic” Material. These parameters have a significant influence on the machining characteristics like MRR and TWR. Taguchi design of experiments (DOE) are implemented, particularly L9 orthogonal array is chosen and the effect of dominating process parameters is evaluated using analysis of variance. Nimonic refers to a family of Nickel-based high-temperature low creep superalloys. Due to its ability to withstand very high temperatures, Nimonic is ideal for typical applications such as aircraft parts, gas turbine components and blades, exhaust nozzles etc., for instance, where the pressure and heat are extreme. However, the conventional methods are not suitable to machine the hardest material such as Nimonic superalloy. The EDM, one of the popular unconventional machining methods, is used to the machine with a copper electrode, which in turn uses Taguchi methodology to analyze the effect of each parameter on the machining characteristics. The optimal choice for each EDM parameter such as peak current, gap voltage, duty cycle and pulse on time using the Taguchi method and Genetic Algorithm are identified. These parameters have a significant influence on machining characteristics such as MRR, EWR and surface roughness.

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Mughal, Maqsood Ali, M. Jason Newell, Joshua Vangilder, Shyam Thapa, Kayla Wood, Robert Engelken, B. Ross Carroll, and J. Bruce Johnson. "Optimization of the Electrodeposition Parameters to Improve the Stoichiometry ofIn2S3Films for Solar Applications Using the Taguchi Method." Journal of Nanomaterials 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/302159.

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Properties of electrodeposited semiconductor thin films are dependent upon the electrolyte composition, plating time, and temperature as well as the current density and the nature of the substrate. In this study, the influence of the electrodeposition parameters such as deposition voltage, deposition time, composition of solution, and deposition temperature upon the properties of In2S3films was analyzed by the Taguchi Method. According to Taguchi analysis, the interaction between deposition voltage and deposition time was significant. Deposition voltage had the largest impact upon the stoichiometry of In2S3films and deposition temperature had the least impact. The stoichiometric ratios between sulfur and indium (S/In: 3/2) obtained from experiments performed with optimized electrodeposition parameters were in agreement with predicted values from the Taguchi Method. The experiments were carried out according to Taguchi orthogonal array L27(3^4) design of experiments (DOE). Approximately 600 nm thick In2S3films were electrodeposited from an organic bath (ethylene glycol-based) containing indium chloride (InCl3), sodium chloride (NaCl), and sodium thiosulfate (Na2S2O3·5H2O), the latter used as an additional sulfur source along with elemental sulfur (S). An X-ray diffractometer (XRD), energy dispersive X-ray spectroscopy (EDS) unit, and scanning electron microscope (SEM) were, respectively, used to analyze the phases, elemental composition, and morphology of the electrodeposited In2S3films.

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Behmaneshfar, Ali, Abdolhossein Sadrnia, and Hassan Karimi-Maleh. "A Review of Different Types of DOE Methods as a Useful Platform for Improving the Performance of Nano Adsorbents in Removal Systems of Pollutants." Nanoscience & Nanotechnology-Asia 10, no. 3 (June 17, 2020): 219–27. http://dx.doi.org/10.2174/2210681209666190220130002.

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Background: In recent years, the Design of Experiments (DOE) is used for removing pollutant from wastewater by nano-adsorbent. Some methods are Taguchi, Response Surface Methodology (RSM) and factorial design. The aim of this paper is to review different used methods of DOE in removing pollutant to suggest some notations to scholars. Methods: The reviewed papers were searched in Google Scholar, Scopus, and Web of Science randomly and categorized based on DOE methods. Results: Number of factors and responses in DOE for removing pollutants from wastewater are between 2-6 and 1-4, respectively. There are several computer software programs that provide simple use of these methods, such as Qualitek, Design Expert, Minitab, R and Matlab Programming. All models have a coefficient of determination R-sq more than 0.9. Conclusion: All the mentioned methods are appropriate because of the high R-sq value. Since the largest number of runs are used in RSM, it is not suitable for the experiments which are conducted by expensive materials and process. Furthermore, Design Expert and Minitab are the most popular software used by scholars in DOE methods for the removal of pollutant.

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Sabdin, S. D., N. I. S. Hussein, M. K. Sued, M. S. Ayob, M. A. S. A. Rahim, and M. Fadzil. "Effects of ColdArc welding parameters on the tensile strengths of high strength steel plate investigated using the Taguchi approach." Journal of Mechanical Engineering and Sciences 13, no. 2 (June 28, 2019): 4846–56. http://dx.doi.org/10.15282/jmes.13.2.2019.06.0403.

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The objective of this study is to investigate the effect of process parameters on ColdArc welding of cold rolled steel plate using 1.2 mm diameter mild steel welding wire. A Taguchi Design of Experiments (DOE) method with grey relational analysis approach was selected for data collection and optimization. 9 experiments were conducted following the L9 (33) Taguchi Orthogonal Array Design. The best result from the experiments for tensile strength was obtained for welding parameters of 70 A (current), 17.6 V (voltage) and 800 mm/min welding speed. Based on the results, the Taguchi analysis predicted the optimised tensile strength would be obtained when the welding current, welding voltage and speed are at 70V, 17.6A and 0.6 m/min, respectively. Thus, most significant parameters for tensile properties of cold rolled steel is welding speed (37%), voltage (34 %) and current (28%). These factors are critical in determining the tensile strength, where increasing the welding speed reduces the heat input. However, decreasing the heat input by lowering the welding voltage resulted in bad weld bead formation.

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Chu, Jian Zhong, and Rong Song. "Thin-Wall Plastic Parts’ Warpage Analysis Based on Taguchi Method." Applied Mechanics and Materials 80-81 (July 2011): 375–78. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.375.

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Warping deformation is an important indicator to evaluate the performance of thin-wall Plastic. In this paper, using the CAE（computer aided engineering）technology and DOE（Design of experiment）in the thin-wall injection molding field, take a box-shaped thin-wall plastic parts for example, using the moldflow software to simulation analyze of the process parameters of injection molding. By analyzing the causes of plastic parts’ warpage, learn the holding pressure is a leading role in warping. Optimization of process parameters under the guidance of the orthogonal test, it can reduce the warpage of plastic parts effectively.

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von Berg, Laura, Daniel Stern, Jasmin Weisemann, Andreas Rummel, Martin Bernhard Dorner, and Brigitte Gertrud Dorner. "Optimization of SNAP-25 and VAMP-2 Cleavage by Botulinum Neurotoxin Serotypes A–F Employing Taguchi Design-of-Experiments." Toxins 11, no. 10 (October 11, 2019): 588. http://dx.doi.org/10.3390/toxins11100588.

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The detection of catalytically active botulinum neurotoxins (BoNTs) can be achieved by monitoring the enzymatic cleavage of soluble NSF (N-ethylmaleimide-sensitive-factor) attachment protein receptor (SNARE) proteins by the toxins’ light chains (LC) in cleavage-based assays. Thus, for sensitive BoNT detection, optimal cleavage conditions for the clinically relevant A–F serotypes are required. Until now, a systematic evaluation of cleavage conditions for the different BoNT serotypes is still lacking. To address this issue, we optimized cleavage conditions for BoNT/A–F using the Taguchi design-of-experiments (DoE) method. To this aim, we analyzed the influence of buffer composition (pH, Zn2+, DTT (dithiothreitol), NaCl) as well as frequently used additives (BSA (bovine serum albumin), Tween 20, trimethylamine N-oxide (TMAO)) on BoNT substrate cleavage. We identified major critical factors (DTT, Zn2+, TMAO) and were able to increase the catalytic efficiency of BoNT/B, C, E, and F when compared to previously described buffers. Moreover, we designed a single consensus buffer for the optimal cleavage of all tested serotypes. Our optimized buffers are instrumental to increase the sensitivity of cleavage-based assays for BoNT detection. Furthermore, the application of the Taguchi DoE approach shows how the method helps to rationally improve enzymatic assays.

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Rehman, Rizwan Ur, Uzair Khaleeq uz Zaman, Shahid Aziz, Hamid Jabbar, Adnan Shujah, Shaheer Khaleequzzaman, Amir Hamza, Usman Qamar, and Dong-Won Jung. "Process Parameter Optimization of Additively Manufactured Parts Using Intelligent Manufacturing." Sustainability 14, no. 22 (November 21, 2022): 15475. http://dx.doi.org/10.3390/su142215475.

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Additive manufacturing is the technique of combining materials layer by layer and process parameter optimization is a method used popularly for achieving the desired quality of a part. In this paper, four input parameters (layer height, infill density, infill pattern, and number of perimeter walls) along with their settings were chosen to maximize the tensile strength for a given part. Taguchi DOE was used to generate an L27 orthogonal array which helped to fabricate 27 parts on the Ender 3 V2 fused deposition modeling (FDM) printer. The ultimate testing machine was used to test all 27 samples to generate the respective tensile strength values. Next, the Microsoft Azure ML database was used to predict the values of the tensile strength for various input parameters by using the data obtained from Taguchi DOE as the input. Linear regression was applied to the dataset and a web service was deployed through which an API key was generated to find the optimal values for both the input and output parameters. The optimum value of tensile strength was 22.69 MPa at a layer height of 0.28 mm, infill density of 100%, infill pattern of honeycomb, and the number of perimeter walls as 4. The paper ends with the conclusions drawn and future research directions.

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Bakardzhiev, Valeri, Sabi Sabev, Konstantin Chukalov, and Plamen Kasabov. "RESEARCH INTO THE ACCURACY OF HOLES IN 3D PRINTING USING TAGUCHI METHOD." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 3 (June 13, 2023): 36–40. http://dx.doi.org/10.17770/etr2023vol3.7254.

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The article discusses the impact of two factors on the accuracy of the hole sizes - print speed and layer thickness in 3D printing. Nine samples of the ABS polymer were printed by using a 3D printer, then the impact of both of the factors on the accuracy of 3D printing of the holes was evaluated. Taguchi's method was applied with the help of DOE in Minitab to evaluate the impact of the two factors.

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Fernández, D., A. Rodríguez, and A. M. Camacho. "Analysis of AZ31B – Ti6Al4V bimetallic extrusion by numerical simulation and Taguchi method." IOP Conference Series: Materials Science and Engineering 1193, no. 1 (October 1, 2021): 012080. http://dx.doi.org/10.1088/1757-899x/1193/1/012080.

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Abstract This paper investigates the extrusion force and damage induced during an extrusion process to manufacture bimetallic cylinders combining a titanium alloy sleeve (Ti6Al4V) and a magnesium alloy core (AZ31B). A study has been carried out to determine the damage factor distribution through the extrusion process and how this factor together with the extrusion force are influenced by the manufacturing parameters (extrusion ratio, friction and die semi-angle) by means of finite element (FE) simulations. Also, a Taguchi Design of Experiments (DoE) and an Analysis of Variance (ANOVA) have been performed in order to study the influence of each parameter to minimize the extrusion force needed to perform the process and the damage in the extrudate. The results show that damage distribution in the sleeve does not follow any pattern, appearing in different region in a random way. However, in the core the damage always occurs in the region outside the contour of the sleeve, where it reaches the maximum value and afterwards remains stationary during the rest of the process. In the core, damage increases as friction factor does and it is independent of the cross-section reduction for low die semi-angles (15°) and reaches the maximum values for 60° die semi-angle. In both cases, damage and extrusion force, the more relevant factor to obtain minimum values is the die semi-angle.

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Rao, Addanki Sambasiva, Medha A. Dharap, and J. V. L. Venkatesh. "Experimental Study of the Effect of Post Processing Techniques on Mechanical Properties of Fused Deposition Modelled Parts." International Journal of Manufacturing, Materials, and Mechanical Engineering 5, no. 1 (January 2015): 1–20. http://dx.doi.org/10.4018/ijmmme.2015010101.

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FDM (Fused Deposition Modelled) parts are chemically treated with two types of chemicals viz Dimethyl ketone (Acetone) and Methyl ethyl ketone to reduce the surface roughness. This chemical treatment method technique not only reduces surface roughness but also makes effect on strength of chemically treated parts of ABS (Acrylonitrile Butadiene Styrene) material. In this study Taguchi method of DOE (Design of Experiments) is conducted on test specimen of “tensile”, “bending” and “izod impact” components which are manufactured through Fused Deposition Modeling process using ABS-P400 material. DOE is conducted to optimize the effect of chemical treatment process parameters on strength of above specimen parts. The process parameters considered for the DOE are “different levels of concentration of chemical, temperature, time, layer thickness etc. ANOVA (Analysis of variance) is used to know the significance of contribution of each of these parameters. Results reveal that the prototypes when treated at optimum condition the tensile strength, flexural strength and izod impact strength improved significantly.

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Krolczyk, Grzegorz, Andrzej Metelski, Radoslaw Maruda, and Stanislaw Legutko. "Taguchi Design of Experiment in the Optimization of Tool Life in Turning Process of Duplex Stainless Steel DSS." Applied Mechanics and Materials 809-810 (November 2015): 189–94. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.189.

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The paper presents the contribution in methodology of production processes of difficulty to cut materials particularly in optimization method of Duplex Stainless Steels (DSS). In this work, Design of Experiment (DOE) is used to examine turning experimental data. The DOE, based on the Taguchi method with orthogonal array L9 and signal-to-noise ratio are used. The optimal values of the technological cutting parameters with coated carbide tool point are searched. ANOVA analysis was performed to determine the signification of machining parameters. The significance of various cutting parameters on tool life have been proven. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

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Lokhande, Pravin R., Sachin S. Salunkhe, and Balaguru Sethuraman. "Corrigendum to: Numerical Simulation and Experimentation of Endodontic File using Taguchi DoE." International Journal for Simulation and Multidisciplinary Design Optimization 13 (2022): 11. http://dx.doi.org/10.1051/smdo/2021044.

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Litz, C. J. "Laser Doppler Vibrometer: Application of DOE/Taguchi Methodologies to Pyroshock Response Spectra." Shock and Vibration 4, no. 2 (1997): 115–23. http://dx.doi.org/10.1155/1997/617146.

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Statistical methodologies were employed for measuring and analyzing the explosively induced transient responses of a flat steel plate excited with shock. The application of design of experiment methodology was made to structure and test a Taguchi L9(32) full factorial experimental matrix (which uses nine tests to study two factors, with each factor examined at three levels) in which a helium-neon laser Doppler vibrometer and two piezocrystal accelerometers were used to monitor explosively induced vibrations ranging from 10 to 105Hz on a 96 × 48 × 0.25 in. flat steel plate. Resulting conclusions were drawn indicating how these techniques aid in understanding the pyroshock phenomenon with respect to the effects and interrelationships of explosive-charge weight and location on the laser Doppler and contract accelerometer recording systems.

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Sharma, Varun, Ashish Goyal, Sanjay Kumar Sharma, and Vikas Sharma. "Quality Improvement of Plastic Injection Molded Product Using Doe and Taguchi Techniques." International Journal of Recent advances in Mechanical Engineering 4, no. 2 (May 31, 2015): 93–103. http://dx.doi.org/10.14810/ijmech.2015.4210.

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Limooei, Mohammad Bagher, and Shabnam Hosseini. "Optimization of Heat Treatment in Manganese Steel by Taguchi Method." Applied Mechanics and Materials 598 (July 2014): 43–46. http://dx.doi.org/10.4028/www.scientific.net/amm.598.43.

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Manganese steels have extensively application in industries due to good resistance to wear, high work hardening capability with high toughness and ductility. Heat treatment is the main process to obtain desired mechanical properties and microstructure in this steel. The austenitizing temperature, the austenitizing time and the rate of quenching are the main factors in heat treatment. In this research, Taguchi analysis was used to determine optimal heat treatment for minimizing grain boundary carbide content with optimum hardness. Experimental variable chosen for this study included austenitizing temperature and time and the rate of quenching. In the optimization by Taguchi approach, L9(3)3 array, employing nine experiments, with three levels for each factor, was chosen for DOE. The austeitizing temperature and the cooling rate by changing in quenched solution were seen to have greatest influence on hardness of these steels.

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Pamnani, Rishi, M. Vasudevan, P. Vasantharaja, and T. Jayakumar. "Optimization of A-GTAW welding parameters for naval steel (DMR 249 A) by design of experiments approach." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 231, no. 3 (July 16, 2015): 320–31. http://dx.doi.org/10.1177/1464420715596455.

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DMR249A steel is indigenously developed high strength low alloy (HSLA) steel. The steel is being used for construction of Indian Aircraft Carrier and other new ships under construction at various ship yards in India. In order to enhance the depth of penetration (DOP) achievable in a single pass for gas tungsten arc welding (GTAW) process, activated fluxes were developed for the steel. The process is called activated flux gas tungsten arc welding (A-GTAW). Design of experiments (DOE) approach was employed using response surface methodology (RSM) and Taguchi technique to optimize the welding parameters for achieving maximum DOP in a single pass. Design matrix was generated using DOE techniques and bead on plate experiments were carried out to generate data for influence of welding process variables on DOP. The input variables considered were current, torch speed, and arc gap. The DOP was considered as response variable. The equations correlating DOP with the process parameters were developed for both the optimization techniques. The identified optimum process parameters were validated by carrying out bead on plate experiments. The RMS error of the predicted and measured DOP values for the validation experiments of the RSM (D-optimal) and Taguchi optimization technique was found to be 0.575 and 0.860, respectively. Thus, RSM (D-optimal) was observed to predict optimized welding process parameters for achieving maximum DOP with better accuracy during A-GTAW process.

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Tso, Pei Lum, Bo Huei Yan, and Chan Hsing Lo. "Study on Thin Diamond Wire Slicing with Taguchi Method." Materials Science Forum 505-507 (January 2006): 1219–24. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.1219.

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Presently, the loose abrasive wire saw is the most commonly used technique for slicing hard and brittle materials. However its productivity is relatively low. A diamond wire saw has been developed for slicing brittle materials such as silicon wafer. The objects of this paper is to make the thin diamond wire saw apply to high cost production in semiconductor industries with the effective processing parameters such as machined surface roughness, material removal rate, the wear of the wire and the kerf width of the slicing. Effects of processing parameters on the performance of the diamond wire sawing processes are investigated by using the Taguchi method for this design of experiment (DOE). The analysis of the result shows that the optimal combinations for good surface roughness are small grain size, high wire speed, and low feed rate. Wire speed and feed rate are positively related to material removal rate.

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Demir, Pelin, and Güneş Yılmaz. "Investigation of the Atmospheric Attenuation Factors in FSO Communication Systems Using the Taguchi Method." International Journal of Optics 2020 (March 12, 2020): 1–8. http://dx.doi.org/10.1155/2020/9038053.

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In this study, Mie and Rayleigh scattering in free space optics (FSO) communication systems were investigated in terms of the atmospheric attenuation. Because of the movement of the Earth, the communication distance and surrounding gas densities are inconsistent in each region. This change leads to atmospheric attenuation and then data losses and inefficient communication in FSO occur. Therefore, the density change and distance must be calculated in each communication once the data is transmitted. In the literature, it was observed that the atmospheric attenuation is regarding some FSO communication parameters such as transmission distance, visibility, and scatter particle size distribution, the number of particles per unit volume, scatter cross-sectional area, and wavelength. Besides, in real-time communication, it is necessary to update FSO parameters simultaneously. However, this updating process for all parameter takes a long time to adapt to a new position. This paper proposes the design of the experiment method (Doe) to determine the severity of the FSO parameters. And Taguchi’s Doe method allows analyzing of FSO communication system parameters to avoid long calculation time. Results show that the proposed method helps in understanding the priorities of the parameters in FSO and reducing the updating time.

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Routroy, Srikanta, Aayush Bhardwaj, Satyendra Kumar Sharma, and Bijay Kumar Rout. "Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment." Benchmarking: An International Journal 25, no. 8 (November 29, 2018): 3296–319. http://dx.doi.org/10.1108/bij-12-2017-0328.

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Purpose The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE). Design/methodology/approach The proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance. Findings The proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y. Research limitations/implications The proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared. Practical implications The proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus. Originality/value Many studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.

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Tran, Thi Hong, Vu Trung Tuyen, Luu Anh Tung, The Vinh Do, Thi Quoc Dung Nguyen, Thanh Tu Nguyen, Tran Ngoc Giang, and Vu Ngoc Pi. "Improvement of Wheel Life by Optimization of Dressing Parameters in Surface Grinding of SKD11 Steel." Materials Science Forum 1020 (February 2021): 68–74. http://dx.doi.org/10.4028/www.scientific.net/msf.1020.68.

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This article describes an optimization of dressing parameters to improve the wheel life in surface grinding of hardened SKD 11 steel by using the Taguchi method. Dressing parameters including dressing feed rate, coarse dressing depth, coarse dressing times, fine dressing depth, fine dressing times, and non-feeding dressing were investigated to determine their influence on the wheel life. The DOE method developed by G. Taguchi was selected to design the experiments. An analysis of the signal-to-noise (S/N) response and ANOVA were conducted to obtain the optimal values of dressing parameters for maximizing the wheel life. In the results section, the coarse dressing times and the coarse dressing depth are determined to be the most influential factors which give a statistically significant effect on wheel life. Also, a predictive value of the average wheel life is given with a 3.6% deviation from the verification experiment.

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Khan, Abdul Salam. "Analysis of Closed Loop Production System Using Orthogonal Array and Integer Programming Optimization." July 2019 38, no. 3 (July 1, 2019): 851–66. http://dx.doi.org/10.22581/muet1982.1903.25.

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Sustainable production systems require optimal utilization of resources. Raw material acquisition is one of the costly processes in a production system. EOL (End-of-Life) products re-manufacturing through reverse logistics can help in decreasing excessive raw material cost. In this study, we consider production system of closed loop supply chain in which both forward and reverse production systems are active. DOE (Design of Experiments) methodology is incorporated which is a statistical approach adopted in dealing with complex workplace problems. We employ L9 orthogonal array using Taguchi experiment in Minitab 17 and DOE for plotting the results. Dependent variables used in this study are productivity, P (number of forward and reverse products produced per period) and quality accuracy of product (measured in percent deviation from reference standards). A trade-off analysis between the control variables is presented on the basis of SNR (Signal to Noise Ratio). Control variables used in the analysis are tools employed in production system (tu), number of machines being used (m) and dedicated manufacturing cells (dc). We use three levels of analysis for each control factor. Optimum result conditions are calculated using signal to noise ratio with larger-the-better-criteria as well as smaller-the-better criteria and study is concluded with main effects of the mean plots. DOE optimization analysis for productivity suggests combination set of 32, 8, and 6 for tools, machines in use and manufacturing cells, respectively. Similarly, for optimal dimensional accuracy, tools used are 24; number of machines in use is 14 with 3 manufacturing cells. All result indices are accomplished within a confidence interval of 95% with p-values less than 0.05. MILP (Mixed Integer Linear Programming) analysis considers cost function of production and transportation between tools, machines and levels and Taguchi based experimental findings are validated by mathematical optimization findings.

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Kalluri, Lohitha, and Yuanyuan Duan. "Parameter Screening and Optimization for a Polycaprolactone-Based GTR/GBR Membrane Using Taguchi Design." International Journal of Molecular Sciences 23, no. 15 (July 24, 2022): 8149. http://dx.doi.org/10.3390/ijms23158149.

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Our objective was to determine and optimize the significant parameters affecting mechanical properties and mean fiber diameter (MFD) of a novel GTR/GBR membrane composed of polycaprolactone (PCL) and chicken eggshell membrane (ESM). For this, we prepared electrospun membrane specimens (n = 16) with varying concentrations of PCL, ESM, nano-hydroxyapatite (HAp), and altered electrospinning parameters as generated by DOE++ software. After the determination of MFD and mechanical properties for all specimens, Taguchi orthogonal array L8 design was used to screen significant factors affecting the MFD and mechanical properties. PCL wt%, ESM wt%, HAp wt%, applied voltage (AV), flow rate (FR), and spinneret-collector distance (SCD) were the independent variables investigated. The response variables analyzed were MFD, tensile strength (TS), and elastic modulus. ANOVA outlined ESM wt%, HAp wt%, AV, FR, SCD, and an interactive effect between PCL wt% and AV to be the significant factors affecting modulus values of an electrospun PCL/ESM membrane (p < 0.05). Furthermore, concentrations of PCL and ESM were the significant factors affecting MFD (p < 0.05) and there were no significant factors affecting the TS values. Optimization using DOE++ software predicted that the maximal TS of 3.125 MPa, modulus of 278.168 MPa, and MFD of 882.75 nm could be achieved.

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Lee, Sang Mok, Bong Hwan Kim, Je Sik Shin, and B. M. Moon. "Optimization of Heat Treatment Parameters of Mo-Free High-Cr Cast Iron Mill Balls." Advanced Materials Research 26-28 (October 2007): 913–16. http://dx.doi.org/10.4028/www.scientific.net/amr.26-28.913.

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A Mo-free high-Cr cast iron with superior impact-wear resistance was tried to develop for mill balls by alloy design and subsequent heat treatment. The Cr/C ratio was varied up to 7.7 in order to minimize and eventually eliminate Mo addition, still ensuring hardenability. For the proper balance between abrasion resistance and toughness, the combined effects of each heat treatment parameters on the mechanical properties were systematically investigated using Taguchi method and response surface method (RSM), well recognized as powerful tools of the designs of experiments (DOE). It was found that hardness and impact energy were mainly affected by tempering and destabilization conditions, respectively. It is noted that high impact energy of 5.2 J/cm2 was obtained without deteriorating hardness (54 HRc) during the verification experiments under the heat treatment condition optimized by the DOE analyses.

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Journal articles on the topic 'TAGUCHI DOE'

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