104,657 research outputs found
The application of Taguchi approach to optimise the processing conditions on bonnet polishing of CoCr
Get PDFThis paper applied the Taguchi approach to investigate the effects of each polishing
parameter and obtain the optimal processing conditions for CoCr alloy polishing. The polishing medium was 1µm diamond paste with Microcloth(polishing cloth). Surface finish parameter Sa was chosen as criterion for optimization. The experimental result indicates that the optimal polishing condition for CoCr alloy polishing is 5deg of precess angle, 800 rpm of head speed, 0.2mm of tool offset and 1.5 bar of tool pressure. With this optimal condition, a confirmatory experiment was conducted. The surface roughness Sa reduced from initial 24nm to 7nm and reduction ratio was 72.5% which was very close to the estimated ratio 64%
Parameter optimization by Taguchi Methods for finishing advanced ceramic balls using a novel eccentric lapping machine
No full textThe final finishing process of advanced ceramic balls used in hybrid precision bearings constitutes two-thirds of the total manufacturing cost, and hence effective and economic finishing methods and processes are critical to their widespread application. A novel eccentric lapping machine is designed and manufactured. Hot isostatically pressed silicon nitride ball blanks (diameter 13.25 mm) are used to investigate the feasibility of accelerating the ball finishing process while maintaining high surface quality. Taguchi methods are used during the first step of finishing to optimize lapping parameters; the L9 (3(4)) four-parameter, three-level orthogonal array is used to design the experiment. Experimental results reveal that this novel eccentric lapping method is very promising; a material removal rate of 40 mum/h is achievable. The optimum lapping condition is found to be high speed, high load and high paste concentration with 60 mum diamond particles. The analysis of variance shows that the most significant lapping parameter is lapping load, which accounts for 50 per cent of the total, followed by lapping speed (31 per cent); the particle size and paste concentration only account for 12 per cent and 7 per cent respectively. A comparison with previous lapping experiments and the mechanism of material removal are also discussed briefly
A Taguchi method application for the part routing selection in Generalized Group Technology: A case Study
Get PDFCellular manufacturing (CM) is an important application of group technology (GT) that can be used to enhance both flexibility and efficiency in today’s small-to-medium lot production environment. The crucial step in the design of a CM system is the cell formation (CF) problem which involves grouping parts into families and machines into cells. The CF problem are increasingly complicated if parts are assigned with alternative routings (known as generalized Group Technology problem). In most of the previous works, the route selection problem and CF problem were formulated in a single model which is not practical for solving large-scale problems. We suggest that better solution could be obtained by formulating and solving them separately in two different problems. The aim of this case study is to apply Taguchi method for the route selection problem as an optimization technique to get back to the simple CF problem which can be solved by any of the numerous CF procedures. In addition the main effect of each part and analysis of variance (ANOVA) are introduced as a sensitivity analysis aspect that is completely ignored in previous research.Cellular Manufacturing; generalized Group Technology; route selection problem; Taguchi method; ANOVA; sensitivity analysis
Custos da qualidade : planejamento economico dos graficos de controle por atributos e modelos correlatos
Get PDFTese (doutorado) - Universidade Federal de Santa Catarina, Centro TecnologicoRevisão e análise dos modelos de planejamento econômico dos gráficos de controle por atributos e modelos correlatos existentes. Agrupamento dos modelos em conjuntos de enfoques semelhantes, com base, especialmente, na formulação da função custo/perda, seus pressupostos básicos e número de parâmetros de custo/risco envolvidos. Indicação do modelo que melhor se adapta às necessidades, características e capacidades de um sistema produtivo. Instruções adicionais, para a tomada de decisão, com base em análise de sensibilidade dos modelos. Estudo comparativo entre o modelo de Taguchi e outros que lhe são compatíveis
Optimization of tensile strength of ferritic / austenitic laser welded components
Get PDFFerritic/Austenitic (F/A) joints are a popular dissimilar metals combination used in many applications. F/A joints are usually produced using conventional processes. Laser beam welding (LBW) has recently been successfully used for the production of F/A joints with suitable mechanical properties. In this study, a statistical design of experiment (DOE) was used to optimise selected laser beam welding parameters (laser power, welding speed, and focus length). The Taguchi approach was used for the selected factors, each having five levels (L-25; 5*3). Joint strength was determined using the notched tension strength (NTS) method. The results were analysed using analyses of variance (ANOVA) and the signal-to-noise ratios (S/N) ratio for the optimal parameters, and then compared with the base material. The experimental results indicate that the F/A laser welded joints are improved effectively by optimizing the input parameters using the Taguchi approach
Data for: Internal Loading in Stormwater Ponds as a Phosphorus Source to Downstream Waters
No full textThis dataset supports the journal article "Internal Loading in Stormwater Ponds as a Phosphorus Source to Downstream Waters" by Taguchi et al. (Submitted).
Included are water quality field data, laboratory sediment phosphorus release experiment data, and laboratory sediment phosphorus fractionation data.
This work is licensed under a Creative Commons Attribution 4.0 International License.
The RPBCWD 98-Pond Dataset was produced by the Riley Purgatory Bluff Creek Watershed District and not the dataset authors. Contact www.RPBCWD.org for further information.Stormwater ponds remove phosphorus through sedimentation before releasing captured water downstream. Internal loading can impair net phosphorus removal but is understudied in these highly modified systems. Using a combination of methods, we assessed the prevalence and potential causes of sediment phosphorus release in urban ponds. In a three-year, 98-pond dataset, nearly 40% of ponds had median water column total phosphorus concentrations exceeding the 95% confidence interval for runoff values (0.38 mg/L), suggesting widespread internal loading. In a subsequent intensive monitoring study of four ponds, strong stratification prevented spring and summer diurnal mixing, resulting in persistent hypolimnion anoxia (<1 mg/L dissolved oxygen). Incubated sediment cores from seven ponds demonstrated high anoxic phosphorus release. Sediment analysis revealed high labile organic and redox-sensitive phosphorus fractions with release potential at anoxia onset. Our analyses suggest phosphorus accumulated in stormwater ponds is highly sensitive to internal loading, reducing net removal and contributing to downstream eutrophication.Minnesota Pollution Control AgencyNational Science Foundation (grant number 00039202)Taguchi, Vinicius J; Olsen, Tyler A; Natarajan, Poornima; Janke, Benjamin D; Gulliver, John S; Finlay, Jacques C; Stefan, Heinz G. (2019). Data for: Internal Loading in Stormwater Ponds as a Phosphorus Source to Downstream Waters. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/p338-vx49
Letter, [Author unclear] to Paulina T. Merritt
No full textHandwritten letter to Paulina Merritt from an unknown author, October 1, 1876.
A Comparison Study of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition
No full textThe Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis-Taguchi System and a neural network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The study uses the Wisconsin Breast Cancer study with nine attributes and one class
An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition
Get PDFThe Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the Mahalanobis- Taguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The study uses the Wisconsin Breast Cancer study with nine attributes and one class
An overview of Taguchi’ s T-Method as a prediction tool for multivariate analysis
Get PDFAnalysis of prediction has attracted considerable interest in various fields. Taguchi’s T-Method is a prediction method introduced by Genichi Taguchi in mid-year 2000, among several other Mahalanobis Taguchi system tools. It was explicitly created for the prediction of multivariate data. Taguchi's T-Method has shown that even with limited sample size, making a prediction based on historical data is possible. The key elements that have been adapted in reinforcing Taguchi’s TMethod robustness are by introducing the unit-space principle and adaptation of the signal to the noise ratio (SNR) as a weighting as well as a zero-proportional theory, as proposed by Genichi Taguchi in a robust model. Taguchi’s T-Method was widely practicing in Japan and began to be practiced by non-Japanese researchers due to its simplicity and simple understanding. Up to recent, various applications of Taguchi’s T-Method been applied, which prove to be beneficial to industrial needs. This research paper outlines the T-method procedures by applying it in a few benchmark datasets and compare the accuracy with the existing multiple linear regression method for an overview. The results show that Taguchi’s T-Method is better than multiple regression in dealing with limited sample data in which the sample size is smaller than the input variables. Taguchi’s TMethod proved to have the ability to predict output with an acceptable range of prediction accuracy
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