Academic literature on the topic 'DOE full factorial'
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Journal articles on the topic "DOE full factorial"
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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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Weriono and Rinaldi. "INVESTIGASI KEKERASAN MATERIAL AISI 1045 PENGARUH PROSES FULL ANNEALING MENGGUNAKAN FULL FACTORIAL DESIGN." Sainstek (e-Journal) 8, no. 1 (June 30, 2020): 42–48. http://dx.doi.org/10.35583/js.v8i1.30.
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Pendinginan merupakan faktor yang menentukan kekerasansuatu material. Ada dua media quench yang sering dgunakan yaitumedia oli dan air. Quench oli adalah pendinginan yang lebih perlahansehingga mencegah retak akibat kecepatan akspansi materialdibandingkan dengan quench air. Pemaparan fenomena yang terjadidi lapangan untuk penggunaan elemen mesin yang terbuat dari bajakarbon sedang AISI 1045 dibatasi pada kegagalan elemen mesin yangdiakibatkan oleh beban personal atau beban mekanik. Metode FullFactorial Design of Experiment digunakan untuk mengkaji hasil ujikekerasan sesuai dengan hipotesa pengujian. Design of Experiment(DOE) telah banyak digunakan untuk menentukan faktor desain yangsignifikan mempengaruhi respons target dan membangun empirismodel yang mewakili hubungan antara faktor signifikan.Untuk mendapatkan respon kekerasan terhadap perlakuan panasfull annealing dengan media Quenching Oil dan air sehingga padapenelitian ini digunakan material AISI 1045 dengan variasitemperatur 7500 C, 8000 C dan 8500 C. AISI 1045 hasil produksikomersial dengan memotong sebagian kemudian diambil untukdilakukan pengujian kekerasan Metode Full Factorial Design ofExperiment digunakan untuk mengkaji hasil uji kekerasan sesuaidengan hipotesa sesuai analisis varians (Anova).Respon input data full factorial design pengujian kekerasandipengaruhi media pendingin dan temperatur proses full annealingpada material AISI 1045. Pengaruh media pendingin menghaslkanFo,5%, 2,18= 3,55,maka Fo=26,73>3,55 menunjukan pengaruh mediapendingin berpengaruh terhadap kekerasan AISI 1045 sedangkanpengaruh temperatur menghaslkan Fo, 5%, 2,18 = 3,55, maka Fo = 31,74> 3,55 menunjukan pengaruh temperatur berpengaruh terhadapkekerasan AISI 1045. Pengaruh interaksi media pendingin terhadaptemperatur menghaslkan Fo, 5%, 1,18 = 3,55, maka Fo = 6,58 > 4,41menunjukan pengaruh media pendingin berinteraksi temperaturberpengaruh terhadap kekerasan.
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Aziz, Nuraini, and Syarifah Nur Aqida. "Hot Press Forming of 22MnB5 Steel Using Full Factorial Design of Experiment (DOE)." Advanced Materials Research 1024 (August 2014): 243–46. http://dx.doi.org/10.4028/www.scientific.net/amr.1024.243.
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This paper presents optimisation of hot press forming using design of experiment for high hardness properties at maximum cooling water temperature and minimum quenching time. Samples were boron steel blanks of 60x50 mm dimension. Hot press forming was conducted using a hydraulic press machine with 20 tonne maximum load. Results of this research work show that parameters obtained by single response optimization through desirability analysis route will increase hardness by 66.72%. The hardness properties of samples were between 477 and 551.4 HV(0.1). These findings were important to design tailored ultra-high strength automotive components at different process parameter settings and to reduce production cost consumption and improve production rate.
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Horvath, Daniel, Rafiq Noorani, and Mel Mendelson. "Improvement of Surface Roughness on ABS 400 Polymer Using Design of Experiments (DOE)." Materials Science Forum 561-565 (October 2007): 2389–92. http://dx.doi.org/10.4028/www.scientific.net/msf.561-565.2389.
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The objective of this research was to find the best combination of factor levels that minimized the surface roughness of prototyped samples from Fused Deposition Modeling (FDM). Two sets of experiments were conducted for that purpose; a two-level three-factor full factorial experiment and a three-level two-factor full factorial experiment. The parameters chosen for this research were model temperature, layer thickness and part fill style. The results obtained from both experiments were compared and analyzed in order to determine the best combination of factors that minimized the surface roughness of the specimens. The significant factors, their interactions and the optimum setting are presented in this paper
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Chen, Yen-Sheng, and Ting-Yu Ku. "Efficiency Improvements of Antenna Optimization Using Orthogonal Fractional Experiments." International Journal of Antennas and Propagation 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/708163.
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This paper presents an extremely efficient method for antenna design and optimization. Traditionally, antenna optimization relies on nature-inspired heuristic algorithms, which are time-consuming due to their blind-search nature. In contrast, design of experiments (DOE) uses a completely different framework from heuristic algorithms, reducing the design cycle by formulating the surrogates of a design problem. However, the number of required simulations grows exponentially if a full factorial design is used. In this paper, a much more efficient technique is presented to achieve substantial time savings. By using orthogonal fractional experiments, only a small subset of the full factorial design is required, yet the resultant response surface models are still effective. The capability of orthogonal fractional experiments is demonstrated through three examples, including two tag antennas for radio-frequency identification (RFID) applications and one internal antenna for long-term-evolution (LTE) handheld devices. In these examples, orthogonal fractional experiments greatly improve the efficiency of DOE, thereby facilitating the antenna design with less simulation runs.
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Chan, Lydia, Islam Shyha, Dale Dryer, and John Hamilton. "Optimisation of Weld Overlay Cladding Parameters Using Full-Factorial Design of Experiment." Materials Science Forum 880 (November 2016): 54–58. http://dx.doi.org/10.4028/www.scientific.net/msf.880.54.
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Weld Overlay Cladding (WOC) shares the same scientific principals as conventional welding where there are multiple governing factors that control the process and outcome. The present work employs a Design of Experiment (DoE) approach to optimising process parameters for cladding a nickel superalloy onto low alloy steel with the aim to improve productivity and quality. The arc current, the clad metal heating current were identified as the key process variables for this stage of experimentation. A full-factorial 4-by-2 test was carried out to identify the optimal levels. Results showed that there is a mild positive trend between the height of individual strings of beads and both variables. However no relationship was established with the depth of penetration, nor with the height of single or double layer stacks. The optimal level of the variables was therefore chosen to be the one that has the highest productivity rate as there were no significant differences. Further experimentation has been planned and described in this paper.
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Hickin, Mauri, Hannah Nadel, Coby Schal, and Allen C. Cohen. "Optimization of a Diet for the Greater Wax Moth (Lepidoptera: Pyralidae) Using Full Factorial and Mixture Design." Journal of Economic Entomology 114, no. 3 (April 2, 2021): 1091–103. http://dx.doi.org/10.1093/jee/toab039.
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Abstract Diet optimization is an important process to increase the efficiency of rearing insects and can be used to develop high-quality insects with specific fitness and life-history traits. Galleria mellonella (L.), the greater wax moth, is widely used in research, microbiology assays, as pet food, and host for biological control agents. Although artificial diets for G. mellonella have been researched and optimized for decades, preliminary tests indicated that the predominantly utilized G. mellonella diet could be improved to yield larger larvae with a short development time. We used a design of experiments (DOE) approach that incorporated multiple full factorial designs and a final mixture design to test the qualitative and quantitative effects of ingredients and their interactions on larval mass and survival. Analysis of 17 ingredient variations in 35 diet formulations yielded an optimized diet that supported high survival and 2.4-fold greater larval body mass than the standard rearing diet. This study demonstrates the importance and efficiency of statistical DOE in guiding the optimization of insect diets to improve traits that represent the quality and fitness of the reared insects.
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Haq, R. H. A., K. Rd. Khairilhijra, M. S. Wahab, N. Sa’ude, M. Ibrahim, O. M. F. Marwah, M. S. Yusof, et al. "PCL/PLA Polymer Composite Filament Fabrication using Full Factorial Design (DOE) for Fused Deposition Modelling." Journal of Physics: Conference Series 914 (October 2017): 012017. http://dx.doi.org/10.1088/1742-6596/914/1/012017.
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Rodríguez-Loaiza, Pilar, Salvador Namur, and Mario González-de la Parra. "Application of Design of Experiments (DOE) to the Development and Validation of a Swab Sampling Method for Cleaning Validation." Asian Journal of Chemistry and Pharmaceutical Sciences 2, no. 1 (April 17, 2017): 16. http://dx.doi.org/10.18311/ajcps/2017/8460.
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Cleaning validation is one of the key elements of the validation program of an active pharmaceutical ingredient (API) manufacturer. One of the most important aspects of cleaning validation is the sampling methods. Swabbing or surface sampling is the subject of this article. The application of sequential experimental designs for the efficient development of a swab sampling method, based on a fractional factorial design followed by full factorial design, is illustrated in this article.
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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.
Dissertations / Theses on the topic "DOE full factorial"
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Paz, Simone Patricia Aranha da. "Desenvolvimento e otimização de métodos de controle de qualidade e de processo de beneficiamento para bauxitas gibbsíticas tipo-Paragominas." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3134/tde-22092016-100712/.
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Desde a prospecção do minério bauxita, passando pelo seu beneficiamento até a sua entrada no processo Bayer, tem-se como principais índices de qualidade e de processo os parâmetros químicos: alumina aproveitável (Al2O3Ap) e sílica reativa (SiO2Re), determinados segundo um procedimento que simula a digestão Bayer em escala de laboratório. Uma grande inovação para a indústria da bauxita seria fazer o controle por parâmetros mineralógicos, % gibbsita e % caulinita, via difratometria de raios X, intenção buscada nesse trabalho pela proposta de um método combinado Rietveld-Le Bail-Padrão Interno, cujos resultados são bem promissores para bauxitas gibbsíticas tipo-Paragominas, matriz para qual foi desenvolvido. Tal combinação não só melhorou a qualidade da quantificação de gibbsita e caulinita, como diminuiu o peso de cálculo tornando o procedimento mais prático e rápido. A alta correlação (r2=0,99) entre os resultados mineralógicos pelo método combinado e os resultados químicos pelo método tradicional, os deixam em igual escolha, pois foram iguais estatisticamente. No entanto, ressalta-se que o método tradicional subestima o valor de caulinita pela conversão da SiO2Re, enquanto o método combinado se aproxima mais do valor verdadeiro. Obter um resultado pelo método combinado mostrou ser mais prático e rápido que pelo método tradicional. Enquanto o tempo total estimado pelo combinado é < 3 h, pelo tradicional é de no mínimo 6 h. Como proposta de validação do método combinado, um segundo foi desenvolvido para quantificação de Al-goethita por DSC, o qual mostrou boa precisão. E muito embora o uso da técnica no controle industrial seja pouco provável por questões de praticidade e tempo de análise, usá-la na validação de antigos e novos métodos de quantificação mineralógica de bauxitas pode ser muito útil. A ordem crescente de substituição de Fe por Al pretendida pelas sínteses planejadas (7 variedades) foi confirmada pelos resultados de DRX, FRX, DSC e MEV, e assim um pequeno banco de dados de entalpias padrão de desidroxilação de Al-goethitas foi estabelecido. A produção de padrões complexos, misturas de variedades goethíticas, é tão importante quanto produzir uma só goethita, pois tais misturas são termodinamicamente comuns na natureza e, portanto, comuns em bauxitas. Após uma identificação clara da limitação do método tradicional para estimar caulinita pela conversão de SiO2Re em bauxitas tipo-Paragominas, um estudo de otimização do método Alcan foi realizado com base em um planejamento fatorial completo 23. As variáveis escolhidas foram temperatura, concentração cáustica e tempo para duas situações: bauxita com baixa SiO2Re e bauxita com alta SiO2Re. A temperatura foi a variável mais importante, apresentando um efeito positivo sobre a quantidade de SiO2Re, uma vez que o aumento na temperatura aumentou a taxa de conversão completa de caulinita em sodalita. Modelos empíricos de 1ª ordem foram apropriadamente obtidos para predição da quantidade de SiO2Re como função da temperatura, concentração cáustica e tempo, os quais responderam com as seguintes condições ótimas: (1) sem presença significante de quartzo - temperatura de 180 °C, concentração cáustica de 10 % com tempo de 60 min para baixa SiO2Re e 25 min para alta SiO2Re, e (2) com presença significante de quartzo - temperatura de 150 °C, concentração cáustica de 20 % e tempo de 60 min, para ambas as situações estudadas.In the bauxite industry - exploration, beneficiation and refinery - two main chemical parameters are used for the quality control: available alumina (AvAl2O3) and reactive silica (RxSiO2). They are determined by a procedure that simulates the Bayer process in laboratory scale. A great innovation for this industry would be to make this control by mineralogical parameters, i.e., the % of gibbsite and % of kaolinite via Powder X-ray Diffraction Analysis. This is one of the main purposes of this work by means of a combined Rietveld-Le Bail-Internal Standard Method, whose results were very promising for the Paragominas-type bauxites. This combination not only improved the quality of gibbsite and kaolinite quantification, as decreased computer processing time, making it a more convenient and fast procedure. The high correlation (r2=0.99) between the mineralogical results from the combined method and chemical results by the traditional method, leave them the same choice, as they were statistically equal. However, it is noteworthy that the traditional method underestimates the kaolinite value obtained from the conversion of RxSiO2, while the combined method is closer to the true value. Obtaining a result by the combined method proved to be more convenient and faster (< 3 hours) than the traditional method (at least 6 hours). As a validation for the proposed combined method, a second method was developed to quantify Al-goethite by DSC, which showed good accuracy. Although the use of DSC technique in industrial control is unlikely for practical reasons and analysis time, its use can be very helpful in the validation of old and new methods for the mineralogical quantification of bauxites. XRD, XRF, DSC and SEM results confirmed the increasing order of Al for Fe replacement intended for the planned synthesis (7 types). Thus, a small database of standard enthalpies of Al-goethites dehydroxylation was built. The production of standards of goethites mixtures is as important as producing a single goethite standard, because these are thermodynamically common in nature and thus bauxites with complex mixtures of goethites are also common. After clearly identifying the limitations of the traditional method to estimate kaolinite from the conversion of RxSiO2 in the Paragominas-type bauxites, an optimization study of the Alcan method was carried out based on a 23 full factorial design. The chosen variables were temperature, caustic concentration and time, for two main situations: bauxite with low RxSiO2 and bauxite with high RxSiO2. The temperature was the most important variable, with a positive effect on the amount of RxSiO2, since the increase in temperature increased the rate of full kaolinite to sodalite conversion. First-order empirical models were properly obtained to predict the amount of RxSiO2 as a function of temperature, caustic concentration and time, which responded to the following optimal conditions: (1) without significant amount of quartz - 180 °C, NaOH 10 % and 60 min for low RxSiO2 and 25 min for high SiO2Re, and (2) with significant amount of quartz - 150 °C, NaOH 20 % and 60 min for both situations.
Book chapters on the topic "DOE full factorial"
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Gaitonde, V. N., S. R. Karnik, and J. Paulo Davim. "Application of Particle Swarm Optimization for Achieving Desired Surface Roughness in Tungsten-Copper Alloy Machining." In Computational Methods for Optimizing Manufacturing Technology, 144–61. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0128-4.ch006.
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The tungsten-copper electrodes are used in the manufacture of die steel and tungsten carbide workpieces due to high thermal and electrical conductivity of copper, spark erosion resistance, low thermal expansion coefficient, better arc-resistance, non-welding, and high melting temperature of tungsten. Since a tungsten-copper electrode is more expensive than traditional electrodes; there is a need to study the machinability aspects, especially the surface roughness of turned components, which has a greater influence on product quality. This chapter deals with the application of response surface methodology (RSM) for the development surface roughness model for turning of tungsten-copper alloy. The experiments were planned as per full factorial design (FFD) with cutting speed, feed rate, and depth of cut as the process parameters. The proposed surface roughness model was employed with particle swarm optimization (PSO) to optimize the parameters. PSO program gives the minimum values of surface roughness and the corresponding optimal machining parameters.
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Sharma, Suresh, and Yuanyuan Chen. "New Trends in Global Offshore Outsourcing." In Outsourcing and Offshoring of Professional Services, 203–14. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-972-4.ch011.
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With the rapid rise of globalization, the challenge of global outsourcing today is not “Why and what to outsource?” but “How to outsource?” The theme today is “Let us do it right the first time.” The barriers to outsourcing are companies’ own mind-sets, local regulations, and the robustness of their internal processes. The domain knowledge in many industries has gone fully global. Likewise, new product development and R&D must be global in order to compete in emerging economies and to tap into global talent to compete globally. Software development and IT outsourcing can be done from anywhere, virtually! The availability of mobile technology and superior digital infrastructure is giving way to “distributed IT,” making “homes” as the future nodes of outsourcing factories. China and India have emerged as the major leaders in this industry due to their capacity, talent pool, and lower cost structure. This chapter compares their strengths, challenges, and growth potential based on the authors’ own hands-on experience of doing outsourcing in these countries for the past 15 years.
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Sharma, Suresh, and Yuanyuan Chen. "New Trends in Global Offshore Outsourcing." In IT Outsourcing, 2253–64. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-770-6.ch142.
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With the rapid rise of globalization, the challenge of global outsourcing today is not “Why and what to outsource?” but “How to outsource?” The theme today is “Let us do it right the first time.” The barriers to outsourcing are companies’ own mind-sets, local regulations, and the robustness of their internal processes. The domain knowledge in many industries has gone fully global. Likewise, new product development and R&D must be global in order to compete in emerging economies and to tap into global talent to compete globally. Software development and IT outsourcing can be done from anywhere, virtually! The availability of mobile technology and superior digital infrastructure is giving way to “distributed IT,” making “homes” as the future nodes of outsourcing factories. China and India have emerged as the major leaders in this industry due to their capacity, talent pool, and lower cost structure. This chapter compares their strengths, challenges, and growth potential based on the authors’ own hands-on experience of doing outsourcing in these countries for the past 15 years.
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Nadeau, Robert. "The New Story of Humanity : Brains, Minds, and the Environmental Crisis." In Rebirth of the Sacred. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199942367.003.0005.
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While sitting in a window seat during a flight from San Francisco to Washington, D.C. about twenty years ago, I had an experience that changed the course of my life. On the ground below, vast numbers of trucks and mile-long strings of railroad cars were moving along extensive networks of highways and tracks that threaded out in all directions, like a circulator system in some giant organism. Products from factories and farms were flowing through these arteries toward distant cities and coastal ports, and raw materials were flowing in the other direction to processing and manufacturing plants. In my mind’s eye, the web-like connections between electric power plants, transformers, cables, lines, phones, radios, televisions, and computers resembled the spine and branches of a central nervous system, and the centers of production, distribution, and exchange and all connections between them within the global economy. This conjured up the image of a superorganism feeding off the living system of the planet and extending its bodily organization and functions into every ecological niche. I realized, of course, that the global economic system is not an organism. It is a vast network of technological products and processes that members of our species created in an effort to enhance their material well-being. But this system does in ecological terms feed off the system of life on this planet and extend its organization into every ecological niche. After my plane landed at Dulles International Airport, I asked a simple question that required years of research to adequately answer. How did members of one species among the millions of species that have existed on this planet manage to increase their numbers and the scope and scale of their activities to the point where the capacity of the system of life on an entire planet to support their existence is being undermined? The answer is that our species, fully modern humans, evolved against all odds the capacity to acquire and use fully complex language systems.
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van Santen, Rutger, Djan Khoe, and Bram Vermeer. "Advanced Machines." In 2030. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195377170.003.0025.
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What looks like a cake tin on wheels is working its way around the room. The robot vacuum cleaner is just as noisy as a normal one, but there’s an important difference: You don’t have to lift a finger to clean your floor. The dirt collects inside the robot’s body, swept up industriously by the rotating brushes and sucked in by the motor. The machine’s sensor flickers over the spot where some bread crumbs just fell, telling it that this is an especially dirty place, which requires an extra sweep for good measure. At the edge of the stairs, the cake tin detects the drop and changes course in the nick of time. Having surveyed the room three times, the robot concludes that its job is done. Everything is clean. No more arguing over who has to vacuum the floor. Let the machine do the work while you sit in a comfortable chair, maybe with another robot for a pet. You can already buy devices like this for a couple of hundred dollars. In fact, much of the Industrial Revolution is about machines working for us. That has dramatically changed productivity and labor. In our households, too, we have a number of machines that do the work for us. Examples are our washing machines and dryers. But for as long as machines have existed, we have dreamed of robots that could take over more tedious chores—metal people who would obey our every order and do our work for us—open the door, boil the potatoes, fix the car. It’s no coincidence that robot derives from the word for “work” in most of the Slavic languages. Robots spark fantasies of large factories full of metal workers lifting boxes, toiling on the production line, and designing new products at their drawing boards. These are some serious toys. They extend our human capacities in much the same way as all the other tools we have developed in the course of our history. Some are already in use in our daily lives, including ones that make independent and crucial decisions without seeking our input.
Conference papers on the topic "DOE full factorial"
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Laguel, Endre, and Tamas Szakacs. "Comparison of Full Factorial DoE and SSTE®." In 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 2021. http://dx.doi.org/10.1109/saci51354.2021.9465612.
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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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Esposito, Angelo, Philippe Mocoteguy, Fabio Postiglione, Maurizio Guida, Cesare Pianese, Antti Pohjoranta, Kun Wang, Daniel Hissel, Marie Cécile Péra, and Stefan Pofahl. "Experimental Test Plan and Data Analysis Based on the Design of Experiment Methodology." In ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/fuelcell2012-91114.
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The development of fault diagnostics for fuel cell (FC) stacks and systems can increase their lifetime and therefore their overall efficiency. The development of such techniques often requires a reliable computational FC stack or system model. Given the complexity of such systems, endless time and effort has to be used to test the systems and identify the related models unless an adequate trade-off between available time and desired model accuracy is found. The Design of Experiment (DoE) methodology enables determining the best compromise between the number of experiments to conduct and the obtained information. In this work, the DoE approach is used to define a test plan that is carried out on a solid oxide fuel cell stack. The methodology is then further exploited to analyse the measured data and to determine the influence of the selected parameters (i.e. input variables) on the response extracted from the monitored variables. Specifically, a Full Factorial DoE analysis is performed and the relative results are compared. The results show which parameters have a direct effect and which affect indirectly, in coupling with other parameters, on the system response.
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Garrison, Loren, and Sarah Walter. "Multidisciplinary Design Space Characterization of a Prediffuser, Strut, and Frame." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60159.
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The multidisciplinary exploration and characterization of a design space challenges the boundaries of analysis capability and design process structure for many current industrial applications. In the present study, parallel independent structural and aerodynamic analysis of a prediffuser flow path, strut, and frame was performed in conjunction with design of experiments (DoE) techniques to efficiently characterize the multidisciplinary design space. The key interactions between geometric parameters and the sensitivity factors of each parameter in relation to stress output were calculated. Aerodynamic analysis was performed using full three-dimensional steady-state computational fluid dynamics. Key structural performance, aerodynamic performance, and weight drivers were identified through screening analysis using design of experiments. The use of common geometry definitions and an overlapping parameter set allowed for the multidisciplinary evaluation of parameters such as strut fillet radius and strut chord. In addition, it aided in the identification of trade-offs between structural performance and aerodynamic performance. Further design space characterization with respect to aerodynamic performance was performed through the use of a more detailed multilevel full factorial design of experiment. The sensitivity of the aerodynamic performance metrics to mesh resolution and turbulence models was statistically determined as well as the variation due to the strut design parameters using design of experiments techniques to address the uncertainty and variation due to the numerical analysis. Additional design space characterization and visualization were also achieved through the use of multidimensional response surfaces generated based on latin hypercube DoEs. All three levels of fidelity in DoE analysis (two-level screening, two-level full factorial, and latin hypercube) identified the same primary driver in aerodynamic performance. However, the advanced latin hypercube analysis was necessary to accurately characterize the secondary drivers of aerodynamic performance. Application of the advanced Design of Experiments techniques along with parallel aerodynamic and structural analysis has led to a better understanding of the multidisciplinary design space and helped to facilitate design decisions that impact both aerodynamic and structural performance.
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Koganti, Ramakrishna, Adrian Elliott, and Charles Orsette. "Resistance Spot Welding Evaluation of 1.4 mm Electro Galvanized (EG) Dual Phase 780 (DP780) and 1.6 mm Electro Galvanized Transformation Induced Plasticity 780 (TRIP780) Steel for Automotive Body Structural Applications." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-40897.
Full textAbstract:
The usage of advanced high strength steel (AHSS) in automotive body structures is projected to grow significantly in the next 5–10 years with the introduction of new safety and fuel economy regulations. This is due to their superior mechanical properties and weight savings potential. These new materials pose significant manufacturing challenges, particularly for welding and stamping. Due to the high strength nature of AHSS materials, higher weld forces and longer weld times are often needed to weld these advanced steels. In this paper, the weldability of 1.4 mm electro galvanized (EG) Dual Phase 780 (DP780) welded to a 1.6 mm Electro Galvanized (EG) Transformation Induced Plasticity 780 (TRIP780) is discussed. Also, weld current lobes, mechanical properties (shear and cross tension), metallographic cross-section and micro-hardness profile in a two-metal stack-up are discussed. Weld Lobes and a full factorial Design of Experiment (DOE) was conducted. Weld current and hold time are the chosen factors for the DOE. Based on the DOE data analysis, weld current was the significant factor for tensile load and hold time was the significant factor for the cross tension load. There were no interaction effects observed between weld current and hold time o for tensile and cross tensions loads.
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Wagner, Mark, James DeYoung, Chris Harbinson, and Merrick Miles. "Development of EUV resists in supercritical CO 2 solutions using CO 2 compatible salts (CCS): results from a two-level full factorial design of experiments (DOE)." In SPIE 31st International Symposium on Advanced Lithography, edited by Qinghuang Lin. SPIE, 2006. http://dx.doi.org/10.1117/12.656272.
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Kagnici, Fatih. "Engine Mount Vibration Sensitivity to Stiffness and Mass Properties of Major Components." In ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/esda2014-20035.
Full textAbstract:
In order to have an optimized NVH design concept, the design engineers must exchange during the development a lot of attributes that together defines the new engine NVH performance. Moreover, each engine NVH system performance is dependent of many variables. In this respect, 6-Sigma methodology (DMAIC and DCOV) is an excellent tool to support engineers to evaluate systems variables and achieve the required performance. Engine mount brackets’ vibrations have high priority for the NVH performance of the powertrain. Effects of major components on the engine mount vibrations come up as a major topic whenever an error state takes place and improvement is required. This study aims to identify the effect of engine block, ladderframe, head and transmission stiffness and mass properties on 2EO acceleration levels of the 4 cylinder engine power train. Dynamic analysis will be performed under the kinematic engine loadings. There are 2 steps for identifying the objective. The first step is to eliminate the factors which has not significant main and cross effect on engine mount vibrations. Full factorial DOE runs with two levels are performed for this purpose. Hyperstudy tool is used for the DOE design, simulation automation and post processing. After defining the effective factors, 256 Latin Hypercube DOE runs are performed to obtain response surfaces and meta–model. DOE runs are done in Hyperstudy, results are exported to enCORE and transfer functions are calculated by Kriging method. According to the results, a proposed course of action for engine mounts’ accelerations DOE study is prepared and a methodology for this course is executed.
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Selvam, Rajiv, and Shanmuga Sundaram Karibeeran. "Optimisation of Process Parameters for Electromagnetic Forming of AA6101 Tubes." In ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8354.
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Abstract Electromagnetic forming is an inevitable and tedious task even in modern engineering practices. Aluminum alloys are widely used in industrial structures and components, where light-weight and good corrosion resistance is required. This paper explains the Response Surface Methodology (RSM)-based design of experiment (DoE) for the optimization of electromagnetic forming of AA6101 tubes. The forming experiments were conducted based on the full factorial DoE, by varying the energy level, air gap and number of turns as the forming parameters, against the responses of force, deformation and time. The combined effects of the energy level, air gap and number of turns on the performance measures of force, deformation and time were investigated by the analysis of variance. The optimization results were plotted using the RSM, and the optimal forming parameters were obtained. The validation experiments were conducted using the optimum forming considerations and the results were compared.
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Wetmore, William, and Joshua D. Summers. "Influence of Group Cohesion and Information Sharing on Effectiveness of Design Review." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57509.
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Research into group decision-making suggests that, dependent on the information distributed prior to a group discussion, the decision and discussion content can be predicted. While the impact to group decision-making has been studied, its impact on collaborative activities such as design review has not been well investigated. A full factorial design of experiments (3×3, DOE) is conducted to investigate the influence of group cohesion and the awareness of the presence of unshared information among group members on design review effectiveness. The results suggest that awareness may have an effect on locating design issues by representation, functional group domain, and the total amount of design issues located.
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Koganti, Ramakrishna, and Charles Orsette. "Resistance Spot Welding Evaluation of Complex Phase 780 (CP780) Steel for Automotive Body Structural Applications." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13319.
Full textAbstract:
The usage of advanced high strength steel (AHSS) in automotive body structures is projected to grow significantly in the next 5–10 years with the introduction of new safety and fuel economy regulations. This is due to their superior mechanical properties and weight savings potential. These new materials pose significant manufacturing challenges, particularly for welding and stamping. Due to the high strength nature of AHSS materials, higher weld forces and longer weld times are often needed to weld these advanced steels. In this paper, the weldability of Complex Phase 780 (CP780) is discussed in terms of weld current lobes, mechanical properties (shear and cross tension), metallographic cross-section and micro-hardness profile of 1.4 mm electro-galvanized (EG) steel welded to itself in a two-metal stack-up Weld lobes and a full factorial Design of Experiment (DOE) was conducted.