Academic literature on the topic 'Taguchi design of experiments'

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Journal articles on the topic "Taguchi design of experiments"

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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 (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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Chen, Chuen-Lung, Muhammad Arshad Khan, and Chyng-Min Wu. "Identify Generators for 2k - p Experiments Using Taguchi Orthogonal Arrays." International Journal of Reliability, Quality and Safety Engineering 05, no. 04 (1998): 403–22. http://dx.doi.org/10.1142/s0218539398000339.

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Two-level fractional factorial design is an efficient technique for experiments considering a large number of factors. To evaluate the efficiency and analyze the data for such a design, we need to know the generators for the design, so that, using the generators, we can generate its defining relation and alias structure. Although knowing the generators is important for a two-level fractional factorial design, it is not unusual in actual industrial situations for the generators used in the design to be lost or overlooked while the design is performed. Since Taguchi methods has been widely applied in industry, in this research, an efficient algorithm based on Taguchi orthogonal arrays (OA's) and interaction tables is developed to identify the generators for given designs. Furthermore, with the investigation of the insights of Taguchi OA's and interaction tables, this research may provide ideas for making Taguchi methods a simple tool for developing optimal designs for 2k - p experiments.
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Marakini, Vikas, Srinivasa P. Pai, Uday K. Bhat, Dinesh Thakur Singh, and Bhaskar P. Achar. "High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters." Defence Science Journal 72, no. 1 (2022): 105–13. http://dx.doi.org/10.14429/dsj.72.17049.

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In this study, optimum machining parameters are evaluated for enhancing the surface roughness and hardness of AZ91 alloy using Taguchi design of experiments with Grey Relational Analysis. Dry face milling is performed using cutting conditions determined using Taguchi L9 design and Grey Relational Analysis has been used for the optimization of multiple objectives. Taguchi’s signal-to-noise ratio analysis is also performed individually for both characteristics and grey relational grade to identify the most influential machining parameter affecting them. Further, Analysis of Variance is carried to see the contribution of factors on both surface roughness and hardness. Finally, the predicted trends obtained from the signal-to-noise ratio are validated using confirmation experiments. The study showed the effectiveness of Taguchi design combined with Grey Relational Analysis for the multi-objective problems such as surface characteristics studies.
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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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Soylak, Mustafa, Nurseda Karagöz Gökçe, and Eyüp Sabri Topal. "Aircraft wing design at low speeds using Taguchi method." Aircraft Engineering and Aerospace Technology 90, no. 1 (2018): 51–55. http://dx.doi.org/10.1108/aeat-06-2015-0159.

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Purpose The purpose of this paper is to determine the impact level of parameters affecting wing design at low speeds using Taguchi method. Design/methodology/approach Using brain storming approach airfoil shape, wing angle of attack and Reynolds number are determined as important wing design parameters. Most important parameters over these parameters are determined using Taguchi method. The lift-to-drag ratio (CL/CD ratio) is chosen as the performance criterion and L8 orthogonal index is chosen as experimental study scheme for this study. Findings Experimental results are examined using Taguchi method. After making experiments and also analyses, Reynolds number is found as the most important and identifier parameter for aircraft wing design. Practical implications Taguchi method makes the experimental design for experimental studies. This method reduces the number of experiments substantially using orthogonal indices while keeping effects of uncontrolled parameters to a minimum. Reduction in number of experiments helps save time and also cost. Originality/value In this study, with less number of experiments, the most important parameter for aircraft wing design is determined. Moreover, with less number of experiments, not only is time saved but the design stage is also made faster.
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Fayaz Ahmad Mir, Sheikh Shahid Ul Islam, Mohammad Irfan Hajam, and Lubaid Nisar. "Enhancing surface quality of en31 steel using Taguchi robust design." International Journal of Engineering & Technology 12, no. 2 (2023): 102–8. http://dx.doi.org/10.14419/ijet.v12i2.32423.

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This study employs Taguchi's robust design and regression to investigate how milling process parameters affect EN31 steel machin-ability. Three parameters—cutting speed, feed per tooth, and depth of cut—underwent nine experiments using Taguchi's L9 or-thogonal plan on a CNC milling center. Optimal settings were determined through mean analysis (ANOM), while analysis of vari-ance (ANOVA) with 95% confidence assessed parameter impact on surface roughness. Notably, feed per tooth displayed substantial influence (75.351%) on surface roughness. Regression analysis effectively aligned predictions with experimental outcomes, and a confirmation test validated successful Taguchi optimization.
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PINARBAŞI, Aysun, and Funda CENGİZ ÇALLIOĞLU. "Electrospinning of PVP Nanofibers and Optimization with Taguchi Experimental Design." Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi 17, no. 2 (2022): 478–95. http://dx.doi.org/10.29233/sdufeffd.1087764.

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The aim of this study is the determination of optimum process parameters which will provide the finest and the most uniform electrospun Polyvinylpyrrolidone (PVP) based nanofibers with Taguchi experimental design. For the designed experimental setup, parameters (solvent type, polymer concentration, voltage, distance between the electrodes, solution feed rate and humidity) were used which effect the electospinning process significantly. For this purpose, the appropriate orthogonal array was selected to determine the factors and levels at Taguchi experimental design application. The experimental design aimed which provides to be reduced the number of experiments and minimised the effect of uncontrollable factors with less experiments to obtain target value by using Taguchi orthogonal arrays. In the experimental studies of paper, firstly PVP polymer solutions such as conductivity, surface tension and viscosity were determined with various PVP concentrations (10, 12, 14 wt %) and solvents (ethanol, dimethylformamide, dimethylacetamide, chloroform, acetic acid and distilled water). Scanning Electron Microscope (SEM) images of electrospun PVP based nanofibrous surfaces were obtained, average fiber diameter and fiber diameter coefficient values were calculated by ImageJ image analyses software and fiber diameter distribution histogram curves were obtained by SPSS program. Experimental results were analyzed and commented by Taguchi method in MINITAB program with variance analysis. According to the results; solvent type has the highest effect on the electrospinning of PVP nanofibers. In this study, it is predicted to save in terms of time and cost with decreasing the number of experiments by Taguchi experiment design.
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Siti Nurrohkayati, Anis, and Binyamin . "Identify the Influence of Ingredients and Cake Baking for Cupcake using Design of Experiments." International Journal of Engineering & Technology 8, no. 1.1 (2019): 104–10. http://dx.doi.org/10.14419/ijet.v8i1.1.24787.

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This experiment purpose is to determine the best recipe for cupcakes, what factors that can affect the taste of cupcake and to identify the main factors which influential significantly to the best recipe of cupcake. The parameter of the best cupcake is judged on taste, moistness, and smoothness. Taste and smoothness is rated by expert, then the moistness is measure by gram. Taguchi’s experimental design method, orthogonal arrays of Taguchi, overall evaluation criteria, design of experiments, ANOVA analysis, and S/N-ratio analysis are used to evaluate the significance influence of ingredients and cake baking for cupcake. Confirmation experiments with the significantly effect of ingredients levels was carried out in order to illustrate the effectiveness of the Taguchi’s design of experiments method. The factors which have significantly influence is the combination between sugar and fluid milk with the highest contribution i.e. 58.06%. The high amount of sugar and the use of fluid milk can affect the texture of cupcake became not good or became coarse. Â
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Struzikiewicz, Grzegorz, Wojciech Zębala, and Ksenia Rumian. "Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials." Key Engineering Materials 686 (February 2016): 114–18. http://dx.doi.org/10.4028/www.scientific.net/kem.686.114.

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The paper presents an analysis of the selection of the regression function in the optimization of steel turning using Taguchi method. The study attempts to investigate cutting force and temperature during turning of steel. Taguchi L16 (4) 2 orthogonal array has been applied for experimental design. S/N ratio and ANOVA analyses were performed to identify significant parameters influencing cutting force and temperature. Mathematical models for both response parameters i.e. cutting force and temperature roughness were obtained through regression analysis. The confirmation experiments carried out at optimal combination of parameters given by Taguchi’s analysis. The optimal solution provided by desirability function optimization was compared with the optimal setting of parameters given by Taguchi analysis. The optimization results provided by both techniques are in close proximity.
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Sampaio, Nilo Antônio de Souza, Carlos Eduardo da Silva, Fabíola Freitas de Miranda, et al. "Using Taguchi's experiments Part III: Choosing Raw Materials According to Process Yields." Revista de Gestão Social e Ambiental 19, no. 4 (2025): e011829. https://doi.org/10.24857/rgsa.v19n4-016.

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Objective: The aim of this work is to show the application of the Taguchi Experiment in a Chemical Industry Process. Theoretical framework: A Taguchi design, or orthogonal array, is a method for designing experiments that usually require only a fraction of the complete factorial combinations. The orthogonal array means that the design is balanced, so that the factor levels are weighted equally. Therefore, each factor can be evaluated independently of all the other factors, so that the effect of one factor does not influence the estimate of another factor: Static experiments (without a sign factor) and dynamic experiments (with a sign factor) (Moura et al., 2023). Method: Experimental data was taken from a Chemical Industry in the South of the State of Rio de Janeiro and the data was treated with the Taguchi Experiment. Final Considerations: It can be concluded that the Taguchi experiment is a very viable option for optimizing the performance of industrial processes. In this specific case of the factory, it can be concluded that the most significant factors in order of importance are Factors A, B and C. Implications of the research: The use cases of the Taguchi experiment are multiplying in the scientific literature and have proven to be highly effective in dealing with data where the assumptions of Normality are confirmed. Originality/value: Despite being well-known statistical tools, the Taguchi Experiment is widely used and can bring innovations in its application, as in the case of the company in question.
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Dissertations / Theses on the topic "Taguchi design of experiments"

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Hizli, Cem. "Thermal Optimization of Veo+ Projectors (thesis work at Optea AB) : Trying to reduce noise of the Veo+ projector by DOE (Design of Experiment) tests to find anoptimal solution for the fan algorithm while considering the thermal specifics of the unit." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10382.

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The Veo+ projector is using a cooling system that consists of fan and blowers. This system is cooling the electronic components of the device and the lamp of the projector, however extracting a high noise. To lower this noise the rpm speeds (rotational speed) of the fan and blowers should be decreased. Thus, lowering the speed will result in higher temperature values in whole system (inside the device). While lowering the speed, the higher temperature values should be kept within the thermal design specifications of the electronic components. The purpose of this thesis work is to find an optimal solution with lower rpm speeds of the fan and blowers while keeping the temperatures of the various components of the device (touch temperature of the enclosure and electronic components) within the temperature design limits. Before testing the device to find the optimum state, the design limits of the device are determined. Then, by using the design of experiment methods like Taguchi, the optimum state for the device within the design specifications is obtained. Finally, additional tests are applied within the optimum state to demonstrate a fan algorithm as a final solution. While doing the experiments thermocouples are used for measuring the component temperatures.
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Abdul, Aziz Zalina. "Quality practices in manufacturing industry in Malaysia : comparison with the UK and guidesheets on 'design of experiments'." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364849.

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Buyukburc, Atil. "Robust Design Of Lithium Extraction From Boron Clays By Using Statistical Design And Analysis Of Experiments." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1027036/index.pdf.

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In this thesis, it is aimed to design lithium extraction from boron clays using statistical design of experiments and robust design methodologies. There are several factors affecting extraction of lithium from clays. The most important of these factors have been limited to a number of six which have been gypsum to clay ratio, roasting temperature, roasting time, leaching solid to liquid ratio, leaching time and limestone to clay ratio. For every factor, three levels have been chosen and an experiment has been designed. After performing three replications for each of the experimental run, signal to noise ratio transformation, ANOVA, regression analysis and response surface methodology have been applied on the results of the experiments. Optimization and confirmation experiments have been made sequentially to find factor settings that maximize lithium extraction with minimal variation. The mean of the maximum extraction has been observed as 83.81% with a standard deviation of 4.89 and the 95% prediction interval for the mean extraction is (73.729, 94.730). This result is in agreement with the studies that have been made in the literature. However<br>this study is unique in the sense that lithium is extracted from boron clays by using limestone directly from the nature, and gypsum as a waste product of boric acid production. Since these two materials add about 20% cost to the extraction process, the results of this study become important. Moreover, in this study it has been shown that statistical design of experiments help mining industry to reduce the need for standardization.
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Sanches, Regina Aparecida. "Otimização dos parametros de regulagem das maquinas circulares de malharia, utilizando a metodologia Taguchi." [s.n.], 2001. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264453.

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Orientador: Franco Giuseppe Dedini<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-07-29T03:18:37Z (GMT). No. of bitstreams: 1 Sanches_ReginaAparecida_M.pdf: 6818269 bytes, checksum: ba3ab41c8428ffcd3340805c0a5b8348 (MD5) Previous issue date: 2001<br>Resumo: A estabilidade dimensional dos tecidos de malha é um problema freqüentemente vivido nas indústrias de vestuário. Neste trabalho pretende-se encontrar a melhor combinação dos parâmetros de regulagem das máquinas circulares para produzir um tecido de malha com boa estabilidade dimensional e elasticidade. Foram utilizados fios de algodão e elastano para a fabricação do tecido e a otimização dos fatores de controle da máquina foi feita com base na metodologia Taguchi. Os experimentos foram realizados em três etapas, na primeira etapa foram feitas análises físicas nos fios de algodão de dois fornecedores. Na segunda etapa foram feitos oito ensaios com regulagens diferentes e uma replicação para cada ensaio. Nos tecidos produzidos foram feitas as análises da elasticidade e estabilidade dimensional, para determinar os efeitos e as interações que são realmente significativos. Na terceira etapa foram realizados vinte e sete ensaios onde se determinou a melhor regulagem da máquina para fabricar o tecido de malha com as características desejadas<br>Abstract: Dimensional stability knitted fabrics is a usual problem in apparel industry. In this work, the aim was to find the best set-up of machine in order to achieve a good dimensional stability and elasticity. By using cotton and spandex yarns to build the fabric, the optimisation of the machine parameters was done by the Taguchi's method. Three steps were involved in the experiment. The first, dealt with the physical analysis of cotton yarns from samples of two market suppliers. In the second step, eight different set-ups were made on the machine. Elasticity and dimensional stability of fabrics were determined allowing analysing the significant interaction. In the last step, twenty seven trial was made and lead to establish the best set-up to achieve the desired physical proprieties of fabrics<br>Mestrado<br>Projeto Mecanico<br>Mestre em Engenharia Mecânica
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Freitas, Ana Paula Barbosa Rodrigues de. "Aplicação do método estatístico de Taguchi no estudo dos Processos Oxidativos Avançados (Fe+2 / H2O2 / O3 / UV) no pré-tratamento de efluentes fenólicos." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/97/97137/tde-02102013-114541/.

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O efluente fenólico em estudo apresenta a relação DBO5/DQO (Demanda Bioquímica de Oxigênio/ Demanda Química de Oxigênio) igual a 0,15, ou seja caracteriza-se por ser um efluente não biodegradável. No tratamento inicial do efluente utilizou-se ozônio, na presença do sal de ferro II proveniente da solução de sulfato ferroso heptaidratado 0,82 mol. L-1 e do peróxido de hidrogênio , que possui a finalidade catalítica na formação dos radicais hidroxilas, com alto poder de oxidação da matéria orgânica. Nesta etapa foi estudado a união dos processos oxidativos O3/UV e Foto-Fenton, Foram tratados 3 L do efluente fenólico in natura em um reator fotocatalítico com lâmpada ultravioleta. Em todos os experimentos o pH e a temperatura do meio reacional foram controlados. Os experimentos foram executados segundo um planejamento de Taguchi L16, no qual a variável entrada de maior importância para a degradação da matéria orgânica foi o peróxido de hidrogênio. As variáveis respostas analisadas foram a concentração do Carbono Orgânico Total, Demanda Química de Oxigênio e Fenóis Totais. No planejamento de Taguchi L16 foram selecionadas as variáveis significativas para o processo de degradação do efluente fenólico, a fim de serem otimizadas através do Método de Superfície de Resposta (MSR Foto-Fenton e O3/UV). O método de otimização MSR Foto-Fenton foi eficiente na degradação do composto fenólico, sendo assim a melhor condição experimental da planilha de otimização foi a de número 10 e corresponde a uma redução de COT= 54,68%, DQO=78,73% e Fenois Totais= 98,1%. Os parâmetros controlados do processo para essa condição foram: pH=3, temperatura de 30 ºC, potência ultravioleta de 28 W e reagente Fenton (H2O2= 48,3g e Fe+2 =5,95g), que corresponde a relação mássica H2O2 /Fe+2 igual a 8.<br>The phenolic effluent in this study has the rate DBO5/DQO (Biochemical Oxygen Demand / Biochemical Oxygen Demand) equal to 0.15, which is characterized by an effluent to be non-biodegradable. In the initial treatment of phenol was used ozone in the presence of iron salt II from the solution of ferrous sulfate heptahydrate 0.82 mol. L-1 and hydrogen peroxide, which has the purpose in the catalytic formation of hydroxyl radicals with high oxidation power of organic matter. In this stage, was studied the union of the oxidative process O3/UV and Photo-Fenton. The effluent was treated about 3 L about in a photocatalytic reactor with UV lamp. In all experiments, the pH and temperature of the reaction medium were control. The experiments are being carried out to a Taguchi L16 design, in which the input variable of greatest importance to the degradation of organic matter was hydrogen peroxide. The response variable analyzed was given by the concentration of Total Organic Carbon (TOC) and Chemical Oxygen Demand (COD) and Total Phenols (FT). In planning Taguchi L16 significant variables were selected for the degradation process of phenolic wastewater in with purpose of to be optimized by Response Surface Method (RSM Photo-Fenton and O3/UV). The optimization method was efficient photo-Fenton degradation of phenolic compound, so the best experimental condition spreadsheet optimization was the number 10 and corresponds to a reduction of TOC = 54.68%, COD = 78,73% and Total Phenols= 98.1%. The controlled process parameters for this condition were: pH = 3, temperature of 30 ° C, power of 28 W ultraviolet and Fenton reagent (H2O2= 48,3g and Fe+2 = 5,95g), corresponding to mass ratio H2O2 / Fe +2 = 8.
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Amanna, Ashwin Earl. "Statistical Experimental Design Framework for Cognitive Radio." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77331.

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This dissertation presents an empirical approach to identifying decisions for adapting cognitive radio parameters with no a priori knowledge of the environment. Cognitively inspired radios, attempt to combine observed metrics of system performance with artificial intelligence decision-making algorithms. Current architectures trend towards hybrid combinations of heuristics, such as genetic algorithms (GA) and experiential methods, such as case-based reasoning (CBR). A weakness in the GA is its reliance on limited mathematical models for estimating bit error rate, packet error rate, throughput, and signal-to-noise ratio. The CBR approach is similarly limited by its dependency on past experiences. Both methods have potential to suffer in environments not previously encountered. In contrast, the statistical methods identify performance estimation models based on exercising defined experimental designs. This represents an experiential decision-making process formed in the present rather than the past. There are three core contributions from this empirical framework: 1) it enables a new approach to decision making based on empirical estimation models of system performance, 2) it provides a systematic method for initializing cognitive engine configuration parameters, and 3) it facilitates deeper understanding of system behavior by quantifying parameter significance, and interaction effects. Ultimately, this understanding enables simplification of system models by identifying insignificant parameters. This dissertation defines an abstract framework that enables application of statistical approaches to cognitive radio systems regardless of its platform or application space. Specifically, it assesses factorial design of experiments and response surface methodology (RSM) to an over-the-air wireless radio link. Results are compared to a benchmark GA cognitive engine. The framework is then used for identifying software-defined radio initialization settings. Taguchi designs, a related statistical method, are implemented to identify initialization settings of a GA.<br>Ph. D.
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Islam, Ziaul. "A design of experiment approach to tolerance allocation." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1179428292.

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Simms, Christine. "Process optimisation using design experiments and some of the principles of Taguchi : resolving multi-criteria conflicts within parameter design in static and dynamic processes." Thesis, University of Ulster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247675.

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Bae, Suk Joo. "Analysis of dynamic robust design experiment and modeling approach for degradation testing." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04052004-180010/unrestricted/bae%5Fsuk%5Fj%5F2003%5Fphd.pdf.

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Laiate, Juliana. "Estudo do processo de cultivo da microalga chlorella minutíssima e caracterização termoquímica de sua biomassa para aplicação em gaseificação." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/157246.

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Submitted by Juliana Laiate (jlaiatetana@gmail.com) on 2018-10-04T19:13:17Z No. of bitstreams: 1 Juliana Laiate_Tese Doutorado_Correção Biblioteca_Versão Final.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5)<br>Approved for entry into archive by Pamella Benevides Gonçalves null (pamella@feg.unesp.br) on 2018-10-05T13:30:56Z (GMT) No. of bitstreams: 1 laiate_j_dr_guara.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5)<br>Made available in DSpace on 2018-10-05T13:30:56Z (GMT). No. of bitstreams: 1 laiate_j_dr_guara.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5) Previous issue date: 2018-08-31<br>Outra<br>O interesse na diversificação da matriz energética por meio de fontes de energias renováveis tem promovido mudanças no âmbito nacional e internacional, em setores acadêmicos, industriais, sociais e governamentais com foco no desenvolvimento de processos biotecnológicos baseados nos três pilares da sustentabilidade: ambiental, social e econômico. Frente a esse contexto, as microalgas são consideradas uma fonte promissora alternativa para a produção de biocombustíveis por apresentarem alta taxa de crescimento e de concentração de lipídeos. O presente trabalho realizou um estudo do processo de cultivo da microalga marinha Chlorella minutíssima por meio da ferramenta DOE – Design of Experiments para maximização da sua concentração microalgal e do teor lipídico simultaneamente, além de sua caracterização termoquímica para aplicação no processo de gaseificação. O cultivo ocorreu em fotobiorreator tubular descontínuo do tipo coluna de bolhas seguindo o arranjo ortogonal L8 de Taguchi, e as variáveis de processo foram fluxo de CO2 na alimentação, concentração de nitrato, concentração de fosfato, suplementação, temperatura e salinidade. A investigação demonstrou que a concentração de nitrato e fosfato, o fluxo de gás carbônico, a suplementação do meio e a temperatura são fatores influentes na concentração microalgal e no teor lipídico, sendo a melhor configuração para maximização conjunta, utilizando-se a função desirability, com o nitrato operando em nível alto e os demais fatores em nível baixo. A análise elementar forneceu teores condizentes com alguns relatos da literatura, a termogravimetria auxiliou na identificação das faixas de temperatura com maior taxa de decomposição (300 °C a 400 °C), e o poder calorífico superior da biomassa encontrado se demonstrou atrativo para a produção de syngas quando comparado ao de materiais como casca de arroz e lascas de eucalipto já empregados na gaseificação em maior escala. Dessa forma, a metodologia empregada e os resultados apresentados neste trabalho podem auxiliar na busca da viabilização econômica do cultivo, em grande escala, da microalga marinha Chlorella minutíssima para produção de biocombustível pelo processo de gaseificação.<br>The interest in diversifying the energy matrix through renewable energy sources has promoted changes at the national and international levels in academic, industrial, social and governmental sectors, focused on the development of biotechnological processes based on the three pillars of sustainability: environmental, social and economic. In this context, microalgae are considered a strong promising alternative source for the production of biofuels due to their high rate of growth and lipid concentration. The present work carried out a study of the cultivation process of the marine microalgae Chlorella minutíssima using DOE – Design of Experiments to maximize the cell growth and the lipid content simultaneously, besides its thermochemical characterization for application in the gasification process. Cultivation occurred in a discontinuous-tubular photobioreactor, bubble-column type, following Taguchi L8 Orthogonal Array design, and the process variables were: CO2 feed flow rate, nitrate concentration, phosphate concentration, supplementation (metals and vitamins), temperature and salinity. Results showed that the nitrate and phosphate concentration, CO2 feed flow, supplements and temperature are influential factors in the cell growth and lipid content, and the best configuration presenting good results for simultaneous maximization, using desirability, was nitrate operating at high level and the other factors at low level. Ultimate analysis provided levels consistent with some reports in the literature. Thermogravimetric analysis identified the temperature ranges with the highest decomposition rate (300 °C to 400 °C). The higher heating value of the biomass found was attractive for the production of syngas when compared to raw materials such as rice husk and eucalyptus chips already used in the larger scale gasification. In face of, the methodology employed and the results presented in this work can be useful in seeking economic feasibility of the large-scale cultivation of Chlorella minutíssima for the production of biofuels by the gasification process.<br>PRH48 - ANP
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Books on the topic "Taguchi design of experiments"

1

L, Johnson Perry, Kanter Rob, and Plew Jon C, eds. Design of experiments I: A workbook based on the Taguchi method. Perry Johnson, 1987.

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L, Johnson Perry, Kanter Rob, and Plew Jon C, eds. Design of experiments II: A workbook based on the Taguchi method. Perry Johnson, 1988.

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Supplier Symposium on "Taguchi Methods" (3rd 1985 Dearborn, Mich.). Quality engineering using design of experiments: The Third Supplier Symposium on "Taguchi Methods". The Institute, 1985.

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1985), Symposium on Taguchi Methods (3rd. Quality engineering using design of experiments: The third Supplier Symposium on Taguchi Methods. American Supplier Institute, 1985.

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Ross, Phillip J. Taguchi techniques for quality engineering: Loss function, orthogonal experiments, parameter and tolerance design. 2nd ed. McGraw-Hill, 1996.

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B, Barker Thomas. Engineering quality by design: Interpreting the Taguchi approach. M. Dekker, 1990.

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Roy, Ranjit K. A primer on the Taguchi method. Society of Manufacturing Engineers, 1990.

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Roy, Ranjit K. Design of experiments using the Taguchi approach: 16 steps to product and process improvement. Wiley, 2001.

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Mori, Teruo. The new experimental design: Taguchi's approach to quality engineering. ASI Press, 1991.

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Logothetis, N. Quality through design: Experimental design, off-line quality control, and Taguchi's contributions. Clarendon Press, 1994.

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Book chapters on the topic "Taguchi design of experiments"

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Berger, Paul D., Robert E. Maurer, and Giovana B. Celli. "Introduction to Taguchi Methods." In Experimental Design. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64583-4_13.

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Phadke, M. S. "Quality Engineering using Design of Experiments." In Quality Control, Robust Design, and the Taguchi Method. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1472-1_3.

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Antony, Jiju, and Mike Kaye. "A Strategic Methodology for Taguchi Design of Experiments." In Experimental Quality. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-5293-2_6.

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Nair, Vijayan N. "Testing in Industrial Experiments with Ordered Categorical Data." In Quality Control, Robust Design, and the Taguchi Method. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1472-1_11.

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Nair, Vijay, and Daryl Pregibon. "A Data Analysis Strategy for Quality Engineering Experiments." In Quality Control, Robust Design, and the Taguchi Method. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1472-1_14.

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Beg, Sarwar. "Taguchi and Plackett–Burman Designs in Pharmaceutical Product Development." In Design of Experiments for Pharmaceutical Product Development. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4717-5_5.

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Del Vecchio, R. J. "Taguchi's Gontributions." In Understanding Design of Experiments. Carl Hanser Verlag GmbH & Co. KG, 2014. http://dx.doi.org/10.3139/9783446442474.021.

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Thompson, R. E. "Teaching Introductory Manufacturing Experimental Design Using Taguchi Methodology." In Proceedings of the Thirty-Second International Matador Conference. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14620-8_36.

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Maestas, Dominic R., Ron Lumia, Gregory Starr, and John Wood. "Scale Invariant Feature Transform (SIFT) Parametric Optimization Using Taguchi Design of Experiments." In Intelligent Robotics and Applications. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16584-9_61.

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Lopez-Sanchez, Misael, M. A. Cosío-León, and Anabel Martínez-Vargas. "Comparative Analysis of Constraint Handling Techniques Based on Taguchi Design of Experiments." In Constraint Handling in Metaheuristics and Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6710-4_14.

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Conference papers on the topic "Taguchi design of experiments"

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Zheng, Chaoyi, Liejie Huang, Jiafei Yang, Dawei Gao, Haiwen Ge, and Guodong Zhou. "Optimizing Photoresist Coating Processes with Computational Fluid Dynamics and Taguchi Design of Experiments." In 2025 Conference of Science and Technology of Integrated Circuits (CSTIC). IEEE, 2025. https://doi.org/10.1109/cstic64481.2025.11017841.

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Munang, Aswan, Nurdianah Latifah, Isnaini Nurisusilawati, and Ahmad Wahyu Setiawan. "Fish Waste-Based Organic Fertilizer Formulation with Taguchi Design of Experiment Approach." In 2024 International Conference on Decision Aid Sciences and Applications (DASA). IEEE, 2024. https://doi.org/10.1109/dasa63652.2024.10836370.

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Tolentino, Andrew A., Mark Christian E. Manuel, and Reylina Garcia Tayactac. "Optimization of Helical Gear Plunge Shaving Cutting Parameters for Cutter Life Using Taguchi Method." In 2024 8th International Conference on Materials Engineering and Nano Sciences & 2024 8th International Conference on Material Engineering and Manufacturing. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-wj0hyg.

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Gear shaving is a vital part of gear tooth finishing during the pre-hardened condition. Taguchi method was used to design a technique on selecting optimum gear cutting parameters, and on setting a standard in process programming of MHI FEN30A 4-axis shaving machine, for shaving of SCM20H material helical gear using plunge pattern. The final cutting stock, final feed rate and spindle speed were selected as the shaving parameters. Many experiments were conducted using the L16 orthogonal array. S/N response table shows the optimum cutting parameter combinations for cutting load, cutting time, and crowning which are A4B1C1, A1B1C4, and A3B4C4 respectively. The final feed rate is the most significant cutting parameter for the optimization of cutting load, cutting time, and crowning, having ANOVA percentage contributions of 49.6%, 99.01%, and 92.45% respectively. Quadratic regression was used to model predictive equations and contour plots having R2 values of 91.75%, 99.79%, and 91.81%. Predicted values from the quadratic regression model and estimated Taguchi optimum response were compared to the actual results using the optimum parameters for the validation of the experiment. All experimental results are within the 95% confidence of interval, and the percentage error between the experimental and predicted values are all below the acceptable 20%. Regression contour plots can be used for the selection of cutting parameters in process programming, given that the final feed rate is the priority for considering the cutter life, and secondly is the final depth of cut.
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Maubane, Precious, and Michel Kalenga. "RECOVERY OF GERMANIUM FROM COPPER SLAG USING SILICOTHERMIC PROCESS." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s17.18.

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The depletion of primary raw materials and the demand in High Tech has played a big role in finding new ways of getting raw materials including recycling. Germanium being a semi-conductor currently in high demand is being sourced from secondary materials. The purpose of this project was to recover Germanium from copper slag in the presence of pure silicon using the carbothermic reduction process. The experiment was designed using Minitab software with Taguchi as the tool for statistical analysis and to design the experiment. The working temperature was kept constant at 1350 degrees Celsius and the mass of silicon, slag basicity and residence time in the furnace were investigated with the response being recovery of germanium to determine the optimum conditions under which there is a high recovery of Germanium as per the conducted experiments. The findings of this experiment are that the conditions that yield a high recovery of Germanium are 0,008 mass of pure silicon, 0,8 basicity and the optimum time was found to be 120 minutes. In this investigation targeted to meet the sustainable research and development goal of implementation of circular economy by virtue of recycling metallurgical waste that goal. Moreover, from the carbothermic reduction cobalt and copper were recovered consequently. The optimum conditions were tested using the main effects, interaction, and sensitivity to noise ratio plots all from Taguchi.
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Otto, Kevin N., and Erik K. Antonsson. "Extensions to the Taguchi Method of Product Design." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0026.

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Abstract The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi’s method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also introduced into Taguchi’s method. The method is also extended to solve design problems with constraints, invoking the methods of constrained optimization. Finally, the Taguchi method uses a factorial method to search the design space, with a confined definition of an optimal solution. This is compared with other methods of searching the design space and their definition of an optimal solution.
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Jeppu, Yogananda, Karunakar Kundapur, and Prakash Apte. "Optimized Flight Control Component Testing Using Taguchi Design of Experiments." In 7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; followed by 2nd TEOS Forum. American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-7824.

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Kapur, Kailash C. "Product and Process Design Optimization by Design of Experiments Using Taguchi Methods." In 39th Annual Earthmoving Industry Conference. SAE International, 1988. http://dx.doi.org/10.4271/880821.

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Mazda, Chadziqatun Najilatil, and Ira Setyaningsih. "Implementation of Taguchi Method to Assessment Workspace Design." In The 6th International Conference on Science and Engineering. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-erin9z.

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In order to have a good workspace design, it takes a series of activities consisting of several stages. Starting from the design planning stage, design testing/ experimentation, design analysis, selection of the best design, to design implementation. This research was conducted to evaluate workspace designs using the Taguchi method. In this study, four factors were determined as elements of the workspace environment: the level of lighting, noise, temperature, and aroma of the room. Taguchi orthogonal array design produces 8 experiments obtained from a combination of 4 factors and 2 levels. Experimental activities in the form of the influence of the physical work environment on the resulting typing speed. The research sample in each experiment was 30 responses. The experimental results were analyzed using the Taguchi method with the help of Minitab software. In the analysis of the larger the better factor, based on the ranking, it is found that three factors have amajor influence on typing speed: lighting using room lights, not adding sound (noise), and regulating the room temperature to keep it cool. The ANOVA results show that lighting, noise, and temperature factors significantly affect typing speed. It is known that the calculated F value of the lighting factor is 42.10, noise is 12.22 and temperature is 14.45, all of which are greater than the F table of 4.07. The results of this study can be used as managerial evaluation material for companies to design workspaces by prioritizing bright lighting, not too noisy, and cool temperature of room.
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Ghanaei, Mohsen, Hadi Kalani, and Alireza Akbarzadeh. "Taguchi Design of Experiments Application in Robust sEMG Based Force Estimation." In 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2022. http://dx.doi.org/10.1109/iccke57176.2022.9960048.

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Contreras-Navarrete, José de Jesús, Francisco Gabriel Granados-Martínez, Alejandro Durán-Navarro, et al. "Taguchi Experimental Design in Carbon Nanomaterials Synthesis." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65731.

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Nowadays Carbon Nanomaterials (CNMs) are important in the applied nanoscience development, due to their extraordinary chemical and physical properties. The present research proposes a Taguchi methodology to obtain CNMs with high carbon concentration using hexane as carbon source, and stainless steel core as catalysis by Chemical Vapor Deposition (CVD). The Taguchi experimental design identified the optimal variable and level. Flow rate, temperature and time synthesis were studied. Scanning Electronic Microscopy (SEM) depicted different carbon morphologies. Energy Dispersive Spectroscopy (EDS) demonstrated a carbon atomic percentage concentration above 97. Temperature was the most significant variable according to Taguchi analysis.
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Reports on the topic "Taguchi design of experiments"

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Abate, M. L., M. C. Morrow, and T. Kuczek. An application of robust parameter design using an alternative to Taguchi methods. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/399996.

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Kim, Minho, and Junghwan Lim. A Study on the Optimum Design of Pre-Heater System by Using CFD Analysis and Taguchi Method. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0330.

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Remy, Elisabeth, Florent Gasparin, Alexandre Mignot, and Romain Escudier. Design of experiments. EuroSea, 2021. http://dx.doi.org/10.3289/eurosea_d4.1.

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Anderson-Cook, Christine Michaela. Sequential Design of Experiments. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1367830.

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Laug, Kristi K. Solar Thermal Propulsion Experiments Design. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada411920.

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Remy, Elisabeth. Design of experiments - revised edition. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.1_v2.

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Hedayat, A. Design of Experiments and Reliability Models. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada174736.

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Crosier, Ronald B. Symmetry and Design in Mixture Experiments. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada226760.

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Anderson-Cook, Christine, Brenda Ng, Pedro Sotorrio, et al. Subtask 3.1: Sequential Design of Experiments. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1764858.

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Morris, M. (Optimal design and analysis of experiments). Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/7091066.

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