Relevant bibliographies by topics / Symmetric fractional factorial experiments

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Symmetric fractional factorial experiments'

Author: Grafiati
Published: 8 September 2023

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Journal articles on the topic "Symmetric fractional factorial experiments"

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Amoah, Emmanuel, Jakperik Dioggban, and Adjabui Michael Jackson. "Efficient Blocked Fractional Factorial Designs for Stated Choice Experiments of Size Two and Four." International Journal of Mathematics and Mathematical Sciences 2023 (March 7, 2023): 1–13. http://dx.doi.org/10.1155/2023/2515605.

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Stated choice experiments are increasingly becoming popular due to their ability to optimize information gain with limited resources. Many designs have been developed for the selection of various attributes and their levels to form choice sets. One such design is blocked fractional factorial design (BFFD). Stated choice experiments for symmetric attributes of 4 choice sets of sizes 2 and 4 and 8 choice sets of sizes 2 and 4 were developed using BFFDs. Generators for the stated choice set of sizes 2 and 4 with resolution three, four, and five were developed. The alias structures and confounding effects for the designs were derived, as well as their clear effects if any for estimation. The A -efficiency was used to compute the efficiencies of the proposed designs since it has better statistical properties. The computed efficiencies for the proposed designs reveal that 4 choice sets of size 4 designs are more efficient. Finally, a practical application of the proposed method was carried out for four choice sets of size 4 using 2 V 5 − 1 − 2 design with attributes and levels of service quality in public transport.
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Pettitt, A. N. "Infinite Estimates with Fractional Factorial Experiments." Statistician 45, no. 2 (1996): 197. http://dx.doi.org/10.2307/2988408.

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Brugger, Richard M. "How to Construct Fractional Factorial Experiments." Technometrics 34, no. 4 (November 1992): 492–93. http://dx.doi.org/10.1080/00401706.1992.10484968.

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Coleman, Shirley, and Jiju Antony. "TEACHING FRACTIONAL FACTORIAL EXPERIMENTS VIA COURSE DELEGATE DESIGNED EXPERIMENTS." Quality Assurance 7, no. 1 (January 2000): 37–48. http://dx.doi.org/10.1080/105294100277714.

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Mee, Robert W. "Tips for Analyzing Nonregular Fractional Factorial Experiments." Journal of Quality Technology 45, no. 4 (October 2013): 330–49. http://dx.doi.org/10.1080/00224065.2013.11917942.

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Fearn, Tom. "Design of Experiments 4: Fractional Factorial Designs." NIR news 18, no. 5 (August 2007): 14–15. http://dx.doi.org/10.1255/nirn.1035.

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Langsrud, Øyvind, Marit Risberg Ellekjaer, and Tormod Naes. "Identifying significant effects in fractional factorial experiments." Journal of Chemometrics 8, no. 3 (May 1994): 205–19. http://dx.doi.org/10.1002/cem.1180080304.

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Langsrud, Øyvind. "Identifying Significant Effects in Fractional Factorial Multiresponse Experiments." Technometrics 43, no. 4 (November 2001): 415–24. http://dx.doi.org/10.1198/00401700152672500.

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Turiel, Thomas P. "A FORTRAN Program to Generate Fractional Factorial Experiments." Journal of Quality Technology 20, no. 1 (January 1988): 63–72. http://dx.doi.org/10.1080/00224065.1988.11979084.

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Bingham, D. R., and R. R. Sitter. "Design Issues in Fractional Factorial Split-Plot Experiments." Journal of Quality Technology 33, no. 1 (January 2001): 2–15. http://dx.doi.org/10.1080/00224065.2001.11980043.

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Dissertations / Theses on the topic "Symmetric fractional factorial experiments"

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Bingham, Derek R. "Design and analysis of fractional factorial split-plot experiments." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0022/NQ51843.pdf.

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Kessel, Lisa. "Regularities in the Augmentation of Fractional Factorial Designs." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2993.

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Two-level factorial experiments are widely used in experimental design because they are simple to construct and interpret while also being efficient. However, full factorial designs for many factors can quickly become inefficient, time consuming, or expensive and therefore fractional factorial designs are sometimes preferable since they provide information on effects of interest and can be performed in fewer experimental runs. The disadvantage of using these designs is that when using fewer experimental runs, information about effects of interest is sometimes lost. Although there are methods for selecting fractional designs so that the number of runs is minimized while the amount of information provided is maximized, sometimes the design must be augmented with a follow-up experiment to resolve ambiguities. Using a fractional factorial design augmented with an optimal follow-up design allows for many factors to be studied using only a small number of additional experimental runs, compared to the full factorial design, without a loss in the amount of information that can be gained about the effects of interest. This thesis looks at discovering regularities in the number of follow-up runs that are needed to estimate all aliased effects in the model of interest for 4-, 5-, 6-, and 7-factor resolution III and IV fractional factorial experiments. From this research it was determined that for all of the resolution IV designs, four or fewer (typically three) augmented runs would estimate all of the aliased effects in the model of interest. In comparison, all of the resolution III designs required seven or eight follow-up runs to estimate all of the aliased effects of interest. It was determined that D-optimal follow-up experiments were significantly better with respect to run size economy versus fold-over and semi-foldover designs for (i) resolution IV designs and (ii) designs with larger run sizes.
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ALMEIDA, ALEXANDRE DE CASTRO. "BLACK OIL RESERVOIRS SIMULATOR PROXY USING COMPUTATIONAL INTELLIGENCE AND FRACTIONAL FACTORIAL DESIGN OF EXPERIMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13210@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Em diversas etapas da cadeia de trabalho da Indústria de Óleo e Gás a atividade de Engenharia de Petróleo demanda processos que envolvem otimização. Mais especificamente, no gerenciamento de reservatórios, as metodologias para a tomada de decisão pelo uso de poços inteligentes envolvem processos de otimização. Nestes processos, normalmente, visa-se maximizar o VPL (Valor Presente Líquido), que é calculado através das curvas de produção de óleo, gás e água fornecidas por um simulador de reservatório. Estas simulações demandam alto custo computacional, muitas vezes inviabilizando processos de otimização. Neste trabalho, empregam-se técnicas de inteligência computacional - modelos de redes neurais artificiais e neuro-fuzzy - para a construção de aproximadores de função para simulador de reservatórios com o objetivo de diminuir o custo computacional de um sistema de apoio à decisão para utilização ou não de poços inteligentes em reservatórios petrolíferos. Para reduzir o número de amostras necessárias para a construção dos modelos, utiliza-se também Projeto de Experimentos Fatoriais Fracionado. Os aproximadores de função foram testados em dois reservatórios petrolíferos: um reservatório sintético, muito sensível às mudanças no controle de poços inteligentes e outro com características reais. Os resultados encontrados indicam que estes aproximadores de reservatório conseguem bom desempenho na substituição do simulador no processo de otimização - devido aos baixos erros encontrados e à substancial diminuição do custo computacional. Além disto, os testes demonstraram que a substituição total do simulador pelo aproximador se revelou uma interessante estratégia para utilização do sistema de otimização, fornecendo ao especialista uma rápida ferramenta de apoio à decisão.
In many stages of the work chain of Oil & Gas Industry, activities of petroleum engineering demand processes that involve optimization. More specifically, in the reservoirs management, the methodologies for decision making by using intelligent wells involve optimization processes. In those processes, usually, the goal is to maximize the NVP (Net Present Value), which is calculated through the curves of oil, gas and water production, supplied by a reservoir simulator. Such simulations require high computational costs, therefore in many cases the optimization processes become unfeasible. Techniques of computational intelligence are applied in this study - artificial neural networks and neuro-fuzzy models - for building proxies for reservoirs simulators aiming at to reduce the computational cost in a decision support system for using, or not, intelligent wells within oil reservoirs. In order to reduce the number of samples needed for build the models, it was used the Fractional Factorial Design of Experiments. The proxies have been tested in two oil reservoirs: a synthetic one, very sensitive to changes in the control of intelligent wells and another one with real characteristics. The replacement of the simulator by the reservoir proxy, in an optimization process, indicates a good result in terms of performance - low errors and significantly reduced computational costs. Moreover, tests demonstrate that the total replacement of the simulator by the proxy, turned out to be an interesting strategy for using the optimization system, which provides to the users a very fast tool for decision support.
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Huang, Won-Chin Liao. "Applications of the Chinese Remainder Theorem to the construction and analysis of confounding systems and randomized fractional replicates for mixed factorial experiments." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54195.

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A well-known theorem in "Number Theory", the Chinese Remainder Theorem, was first utilized by Paul K. Lin in constructing confounding systems for mixed factorial experiments. This study extends the use of the theorem to cover cases when more than one component from some of the symmetrical factorials are confounded, and to include cases where the number of levels of factors are not all relative prime. The second part of this study concerns the randomized fractional replicates, a procedure which selects confounded subsets with pre-assigned probabilities. This procedure provides full information on a specific set of parameters of interest while making no assumption of zero nuisance parameters. Estimation procedures in general symmetrical as well as asymmetrical factorial systems are studied under a ”fully orthogonalized" model. The type-g estimator, investigated under the generalized inverse operator, and the class of linear estimators of parameters of interest and their variance-covariance matrices are given. The unbiasedness of these estimators can be obtained only under the condition that each subset of treatment combinations is selected with equal probability. This work is concluded with simulation studies to compare the classical and the randomization procedures. The results indicate that when information about the nuisance parameters is not available, randomization procedure guards against a bad choice of design.
Ph. D.
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Chantarat, Navara. "Modern design of experiments methods for screening and experimentations with mixture and qualitative variables." Columbus, OH : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1064198056.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xiv, 119 p.: ill. (some col.). Includes abstract and vita. Advisor: Theodore T. Allen, Dept. of Industrial and Systems Engineering. Includes bibliographical references (p. 111-119).
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Mugayar, André Naleto. "Avaliação dos efeitos do tipo de asfalto e da distribuição granulométrica do agregado nas fluências estática e dinâmica de misturas asfálticas densas." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/18/18137/tde-09022011-154549/.

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Apresentam-se os resultados de uma investigação sobre os fatores que influem no comportamento de revestimentos asfálticos em relação à deformação permanente, avaliado através dos ensaios de fluência por compressão uniaxial estática e dinâmica, realizados em corpos-de-prova moldados segundo as normas do ensaio Marshall. Os fatores selecionados para estudo foram o tipo de asfalto, a distribuição granulométrica do agregado, o teor de asfalto utilizado na mistura e a tensão utilizada para realização dos ensaios de fluência. Foram testados três tipos de asfalto, CAP-20 convencional, CAP-20 modificado com 4,5% de polímero SBS e CAP-20 modificado com 20% de borracha reciclada de pneu, utilizados em quatro teores. A definição dos teores asfálticos utilizados foi realizada a partir de seis dosagens Marshall iniciais, correspondentes às combinações dos três tipos de asfalto e das duas distribuições granulométricas adotadas, referentes aos centros da faixas B e C do DNER-ES 313/97. Os ensaios de fluência foram realizados sob três diferentes tensões, 0,1 MPa, 0,4 MPa e 0,7 MPa. Para avaliação dos efeitos das variações dos fatores citados no comportamento das misturas foi empregada a técnica de planejamento e análise de experimentos fatoriais fracionários assimétricos. Modelos estatísticos, referentes ao comportamento das misturas asfálticas avaliadas com os ensaios de fluência estática e dinâmica, foram obtidos com razoáveis coeficientes de determinação.
This work presents research results about influential factors in the permanent deformation behavior of asphalt mixes, evaluated through static and dynamic uniaxial creep tests, accomplished in specimens prepared according to the Marshall mix design method. The selected factors used in the analysis are type of binder, aggregate gradation, binder content and stress level used in the creep tests. Three types of binder were tested, convencional CAP-20, CAP-20 modified with 4,5% of SBS polymer and CAP-20 modified with 20% of recycled tire rubber, used in four binder content. The definition of binder content was accomplished starting from six Marshall method, corresponding to the combinations of the three type of binder and of the two adopted gradations, regarding the centers of the gradations B and C of DNER-ES 313/97. The creep tests were accomplished under three different stress, 0,1 MPa, 0,4 MPa and 0,7 MPa. Design and analysis techniques of fractional factorial experiments were used to evaluate the effects of the variations of the above mentioned factors on the mixture behavior. Statistical models of behavior were obtained with reasonable determination coefficients from the static and dynamic creep test.
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Yurtseven, Saygin. "Analysis Of The Influence Of Non-machining Process Parameters On Product Quality By Experimental Design And Statistical Analysis." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1026863/index.pdf.

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This thesis illustrates analysis of the influence of the non-machining processes on product quality by experimental design and statistical analysis. For the analysis objective
dishwasher production in Arcelik Dishwasher plant is examined. Sheet metal forming processes of dishwasher production constitutes the greatest portion of production cost and using the Pareto analysis technique
four pieces among twenty six pieces are determined to be investigated. These four pieces are the U Sheet, L Sheet, Inner Door and Side Panel of the dishwasher. By the help of the flow diagrams production process of the determined pieces are defined. Brainstorming technique and cause&
effect diagrams are used to determine which non-machining process parameters can cause pieces to be scrapped. These parameters are used as control factors in experimental design. Taguchi&
#8217
s L16(215) orthogonal array, Taguchi&
#8217
s L16(215) orthogonal array using S/N transformation and 28-4 fractional factorial design are used on purpose. With repetitions and confirmation experiments the effective parameters are determined and optimum level of these parameters are defined for the improvements on scrap quantity and quality of production.
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Galdámez, Edwin Vladimir Cardoza. "Aplicação das técnicas de planejamento e análise de experimentos na melhoria da qualidade de um processo de fabricação de produtos plásticos." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/18/18140/tde-18112002-090421/.

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Experimentos industriais são realizados pelas empresas no intuito de melhorar as características de qualidade dos produtos e processos de fabricação. Nesse sentido, esta dissertação tem como objetivo estudar e aplicar as técnicas de planejamento e análise de experimentos na melhoria da qualidade industrial. Como parte do objetivo, desenvolve-se uma aplicação com as técnicas de planejamento fatorial fracionado '2POT. K-P', metodologia de superfície de resposta e análise de variância, em um processo de moldagem por injeção, utilizado por uma indústria que fabrica e comercializa componentes plásticos usados na construção civil. Com essa pesquisa experimental identificam-se os parâmetros mais importantes da injeção plástica: temperatura da máquina e pressão de injeção. Ao mesmo tempo, determinam-se os níveis ótimos de regulagem desses parâmetros. Assim, com esse estudo, avalia-se o procedimento de implantação das técnicas de experimentação e as dificuldades práticas encontradas, bem como busca-se contribuir na integração entre universidade e empresa.
Industrial experiments are made by companies in order to improve the quality characteristics of products and production processes. In this sense, the objective of this dissertation is to study and apply the design of experiments in the industrial quality improvement. In addition, as a part of the objective, an application of the techniques of design Fractional Factorial '2POT. K-P', Analysis of Variance and Response Surface Methodology is done. It is focused in an injection molding process applied by a company, that makes and trades plastic products for the civil construction. Using this experimental study, the most important parameters of plastic injection are identified: melt temperature and injection pressure. At the same time, the optimal levels of adjustment of these parameters are determined. From this study, it is evaluated both the implantation procedures of the designs of experiments as well as the difficulties faced. Also, this study tries to contribute to the university-company relationship.
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McLeod, Robert G. "The design of blocked fractional factorial split-plot experiments." 2003. http://hdl.handle.net/1993/20004.

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Li, Wan-Rong, and 李宛蓉. "Optimizing capacitive deionization process with fractional factorial design of experiments." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/9b9kd8.

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碩士
國立交通大學
環境工程系所
105
Capacitive deionization (CDI) is a technology for salt recovery as well as desalination of brackish water with low energy consumption, high recovery rate, and easy assemble. CDI can be operated under room temperature, normal pressure, and is easily regenerated by short-circuit or reversed polarity. Activated carbon (AC) is one of the most common electrode materials for CDI applications because of its high specific surface area, low cost, and easy assemble. Recent studies have shown that the use of AC in CDI can also improve its electrosorptive performance of electrode by adding conductive carbon black. In this study, activated carbon (AC) mixing with carbon black (CB) were applied to fabricate electrodes to investigate their optimal conditions in the salt recovery of CDI process. This study has been divided into two parts. The first part is to investigate the effect of CDI operating parameters. The second part is to realize the comprehensive effect of CDI operating parameters by using fractional factorial design. In CDI process, the electrosorptive capacity plays an important role in deionization performance. Activated carbon (AC) was mixed with carbon black (CB) by using a polymer binder (PVdF). Then it was coated onto titanium mesh via dip coating method. Two types of AC/CB composite electrodes were fabricated by two kinds of activated carbons (ACS, China Steel Chemical; ACL, Sigma-Aldrich), and their characteristic and electrosorption performance were investigated. The effects of operating parameters were also included. The results show that the activated carbon, ACS, comprising higher specific surface area (1622 m2/g) and specific capacitance (104.84 F/g). Its eletrosorptive capacity reached 8.9 mg/g with applied voltage of 1.5 V. In CDI process, the increase of applied voltage and initial concentration could enhance the capacity of CDI process. However, that of flow rate, electrode distance, and electrode layers has shown the negative effect on deionization performance. By fractional factorial design approaching, it has been found that applied voltage, initial inlet concentration, and electrode layers are key factors of deionization performance in CDI. By statistical analysis, the results have also revealed that the highest electrosorptive capacity (16.636 mg/g) has been reached under the optimum operational conditions (ie, 1.5V of applied voltage, 3 mM of initial NaCl concentration, and one sheet of electrode layer)
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Books on the topic "Symmetric fractional factorial experiments"

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Gunst, Richard F. How to construct fractional factorial experiments. Milwaukee, Wis: ASQC Quality Press, 1991.

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Orthogonal Fractional Factorial Designs. New York: Wiley, 1985.

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Dey, Aloke. Orthogonal fractional factorial designs. Chichester: Wiley Eastern, 1985.

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Barrentine, Larry B. How To Construct Fractional Factorial Experiments, Vol. 14. Amer Society for Quality, 1991.

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Book chapters on the topic "Symmetric fractional factorial experiments"

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Dean, Angela, Daniel Voss, and Danel Draguljić. "Fractional Factorial Experiments." In Springer Texts in Statistics, 495–564. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52250-0_15.

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Badiru, Adedeji B., Ibidapo-Obe Oye, and Babatunde J. Ayeni. "Fractional factorial experiments." In Manufacturing and Enterprise, 255–86. Boca Raton : CRC Press/Taylor & Francis, [2019] | Series: Systems innovation series: CRC Press, 2018. http://dx.doi.org/10.1201/9780429055928-11.

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Goos, Peter. "Two-Level Factorial and Fractional Factorial Designs." In The Optimal Design of Blocked and Split-Plot Experiments, 217–28. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4613-0051-9_9.

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Barton, Russell R. "Design-Plots for Factorial and Fractional-Factorial Designs." In Graphical Methods for the Design of Experiments, 55–92. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1398-7_3.

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John, J. A., and E. R. Williams. "Factorial experiments: single and fractional replication." In Cyclic and Computer Generated Designs, 155–88. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-7220-0_8.

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John, J. A. "Factorial experiments: single and fractional replication." In Cyclic Designs, 116–50. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4899-3326-3_6.

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Hardcastle, Henry K. "Fractional Factorial Approaches to Emmaqua Experiments." In ACS Symposium Series, 63–88. Washington, DC: American Chemical Society, 2001. http://dx.doi.org/10.1021/bk-2002-0805.ch004.

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Kaltenbach, Hans-Michael. "Many Treatment Factors: Fractional Factorial Designs." In Statistical Design and Analysis of Biological Experiments, 213–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69641-2_9.

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Beg, Sarwar, and Kaisar Raza. "Full Factorial and Fractional Factorial Design Applications in Pharmaceutical Product Development." In Design of Experiments for Pharmaceutical Product Development, 43–53. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4717-5_4.

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Chen, Hegang H., and Ching-Shui Cheng. "Minimum Aberration and Related Criteria for Fractional Factorial Designs." In Design and Analysis of Experiments, 299–329. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118147634.ch9.

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Conference papers on the topic "Symmetric fractional factorial experiments"

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Barto, Seba, and Radoslav Radev. "Using fractional factorial experiments for determination of factors influencing parameters of electrically conductive adhesives." In 2012 35th International Spring Seminar on Electronics Technology (ISSE). IEEE, 2012. http://dx.doi.org/10.1109/isse.2012.6273084.

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Li, Hsien-chen, and Fuyau Lin. "Process Improvement Using Design by Experiments." In ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium collocated with the ASME 1994 Design Technical Conferences. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/cie1994-0471.

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Abstract This paper present an approach to apply Design by Experiments for process improvement with the objectives to minimize cost and shorten investigation time. A case study of PCB (Printed Circuit Board) manufacturing process is chosen to illustrate this approach. A Fractional Factorial Design by Experiment was performed due to the constraints of the time, budget, and resources.
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Joao, Isabel M., and Joao M. Silva. "Student engagement with statistical design of experiments by active learning projects." In HEAd'16 - International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/head16.2016.2650.

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This paper illustrates the use of design of experiments in an active learning environment in a new Master course in Quality and Environmental Engineering at a higher education institution in Portugal. The study took place in the unit of Advanced Techniques for Quality. The aim of this work is to explain how in an active learning environment the students worked on projects designed to use fractional factorial designs in order to improve a system including the impact that the approach had on students. Twelve master students took part of the classroom projects. Three groups of students worked on projects, created and developed by them contributing to increase their commitment and enthusiasm. In a classroom session the students made a presentation and the results were discussed. Each group also produced a video with the planning and execution of the fractional factorial designs which was helpful to start the debate. The active learning approach required that the students developed their own projects and decide when and how to do the experiments. Taking the responsibility of their activities was very enriching forcing the students to think about the things they did and questioning some of their own decisions.
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Restrepo, Bernardo, Larry E. Banta, and David Tucker. "Characterization of a Solid Oxide Fuel Cell Gas Turbine Hybrid System Based on a Factorial Design of Experiments Using Hardware Simulation." In ASME 2011 9th International Conference on Fuel Cell Science, Engineering and Technology collocated with ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/fuelcell2011-54146.

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A full factorial experimental design and a replicated fractional factorial design were carried out using the Hybrid Performance (HyPer) project facility installed at the National Energy Technology Laboratory (NETL), U.S. Department of Energy to simulate gasifer/fuel cell/turbine hybrid power systems. The HyPer facility uses hardware in the loop (HIL) technology that couples a modified recuperated gas turbine cycle with hardware driven by a solid oxide fuel cell model. A 34 full factorial design (FFD) was selected to study the effects of four factors: cold-air, hot-air, bleed-air bypass valves, and the electric load on different parameters such as cathode and turbine inlet temperatures, pressure and mass flow. The results obtained, compared with former results where the experiments were made using one-factor-at-a-time (OFAT), show that no strong interactions between the factors are present in the different parameters of the system. This work also presents a fractional factorial design (ffd) 34-2 in order to analyze replication of the experiments. In addition, a new envelope is described based on the results of the design of experiments (DoE), compared with OFAT experiments, and analyzed in an off-design integrated fuel cell/gas turbine framework. This paper describes the methodology, strategy, and results of these experiments that bring new knowledge concerning the operating state space for this kind of power generation system.
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Kerr, Clive I., and Paul C. Ivey. "A Fractional-Factorial Investigation of the Design Parameters Affecting the Performance of a Pyrometer Purge Air System." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38156.

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One of the most strategically important devices within the field of gas turbine instrumentation is the optical pyrometer for turbine blade temperature measurement. With this instrument, the greatest operational problem is the optical fouling of its lens and the associated design problem is to fit the device within a given size envelope without adversely comprising the effectiveness of the purge air system. Consequently, a statistical-numerical investigation using the design of experiments approach was conducted by utilizing computational fluid dynamics (CFD) techniques to study the trade-offs in purge system design. This paper reports on the study carried out to determine the relative effects of the main geometrical design parameters on the performance of a purge air system using a two-level fractional factorial experiment.
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Gupta, Rahul, and Chang-Xue Jack Feng. "Robust Design Applied to Concurrent Parameter and Tolerance Selection." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1046.

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Abstract This research discusses the robust design method for reducing cost and improving quality using the fractional factorial design approach. Robust design is proposed by Professor Genichi Taguchi to determine the optimum configuration of design parameters for better performance, higher quality and lower cost. The philosophy Taguchi recommends is sound and should be included in the quality improvement process of any organization. However, some methods of statistical data analysis and some approaches to the design of experiments, which he advocates, are unnecessarily complicated and sometimes ineffective. His sound engineering concepts can be combined with more efficient and effective experimental design and statistical data analysis methods. This is demonstrated by simultaneously optimizing the nominal value and the tolerances for a nonlinear RL electric circuit using the fractional factorial design approach instead of the Taguchi orthogonal array approach. Another contribution of this research is the incorporation of manufacturing cost data into the design stage.
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7

Tillmann, W., E. Vogli, I. Baumann, G. Kopp, and C. Weihs. "Statistical Design of HVOF Spray Experiments to Manufacture Superfine Structured Wear Resistant Cr3C2-25(Ni20Cr) Coatings." In ITSC2009, edited by B. R. Marple, M. M. Hyland, Y. C. Lau, C. J. Li, R. S. Lima, and G. Montavon. ASM International, 2009. http://dx.doi.org/10.31399/asm.cp.itsc2009p0700.

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Abstract HVOF spraying of fine feedstock powder allows the deposition of cermet coatings with outstanding properties, but selecting and optimizing process parameters can be difficult. In this study, investigators employ a design of experiments (DOE) approach to identify the most relevant process parameters in the spraying of 2-8 μm Cr3C2-NiCr powders. In a screening step, all parameters were assessed in a 12-run Plackett-Burman experimental design and linear models were used to estimate their effect on coating properties and deposition efficiency. The five most influential parameters were then analyzed in a 16-run fractional factorial set of experiments in order to determine their effect, along with all possible two-way interactions, on coating quality.
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8

Ahn, H., and S. H. Hong. "Design and Experiments of Graded Thermal Barrier Coatings by Plasma Sprayings." In ITSC 1998, edited by Christian Coddet. ASM International, 1998. http://dx.doi.org/10.31399/asm.cp.itsc1998p1635.

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Abstract Graded metal-to-ceramic coatings as thermal barrier coating (TBC) have been studied to improve the surface properties of the coating on high-temperature components. The atmospheric and low pressure plasma spray experiments are carried out with partially stabilized zirconia (YSZ and MSZ) and MCrAlY for mixing of functionally gradient materials. Especially, three-layer and five-layer graded TBCs are designed and produced to match gradually the material properties of a substrate and a top coating for reducing thermal stresses. A fiilly-saturated fractional factorial test is employed to determine optimum process conditions related to the thermal plasma generation, powder feeding, and substrate handling. Microstructural analysis using optical microscope and SEM, compositional analysis by XRD, bond strength test and thermal shock tests are carried out for material evaluation of fabricated TBCs. According to the results of material evaluation, the spray process is optimized for improving coating quality, and the proper raw materials are selected as a result of microstructural analysis. Especially, it is found that the durability and strain tolerance to thermal shock are remarkably increased by the gradation of TBCs and the improvement of graded TBC results from the fracture mechanism related to the vertical crack.
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9

Feng, Chang-Xue (Jack), and Chinh Tran. "A Study of the Impact of Knurling Parameters on Knurl Quality With the Design of Experiments Approach." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0784.

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Abstract A local company produces various types of connecting cables for a number of military and civilian customers. A key part of these cables is the knurled component to provide proper frictional force for easy assembly and maintenance. In the past, the company has usually faced a problem of inconsistent knurl quality. There has been no report in the literature about knurling process design. Vendors of knurling tools could only recommend the traditional try-and-error method. This research uses the design of experiments (or 2n-k fractional factorial design) approach to examine the impact of different knurling process parameters on the knurl quality. Our purpose is to determine the key factors and factor interactions that have significant effect on the knurl quality so that we could set the process parameters in such a way that the process is robust (or insensitive) to any uncontrollable factors. As a result, a robust knurl quality is achieved. A case study illustrates our approach.
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10

Westermann, Hans-Henrik, Andreas Kruse, Eva Eisinger, and Rolf Steinhilper. "Development of an Energy-Efficient Cutting Edge Geometry for Solid End Mills: A Design of Experiments-Based Approach." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46151.

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Milling operations are commonly characterized by high energy consumptions and should be in focus for optimizations aiming sustainable manufacturing processes. Research results show that within milling operations, especially in small and medium enterprises (SME), up to 80% of the applied milling cutters are solid end mills. The paper presents a design of experiments (DOE)-based optimization of the cutting edge geometry, to improve the energy efficiency and technical capability of solid end mills. Thereby the paper describes the fractional factorial design for the first-degree polynomial model as well as the subsequent set up of a central composite design (CCD) with its second-degree polynomial model for the optimization of relevant target parameter like cutting performance, tool wear and surface quality. Based on the results of more than one hundred machining tests this comprehensive approach shall contribute to the development of new cutting edge geometries of solid end mills and thereby lead to more energy-efficient machining operations in milling applications.
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