ARREGLOS ORTOGONALES DE TAGUCHI PDF

This paper deals with the use of the Taguchi method in the realization of experiments to solve the multiple answers in the process of EDM machining using copper and graphite electrodes. This manufacturing process was carried out on the aluminum microfusion material widely used in the footwear manufacturing industry. The experimentation was carried out according to an orthogonal arrangement L8. Analysis of variance ANOVA was used to determine the effects of the input variables tooling material, pulse time, tool shape and cutting depth on the output variables material removal rate and surface roughness ; as well as a regression analysis to predict the results of the experimental analysis.

Author:Tygoshicage Kigarn
Country:Croatia
Language:English (Spanish)
Genre:Software
Published (Last):19 January 2010
Pages:173
PDF File Size:7.99 Mb
ePub File Size:17.30 Mb
ISBN:591-9-67463-904-7
Downloads:82138
Price:Free* [*Free Regsitration Required]
Uploader:Nikokasa



This paper deals with the use of the Taguchi method in the realization of experiments to solve the multiple answers in the process of EDM machining using copper and graphite electrodes. This manufacturing process was carried out on the aluminum microfusion material widely used in the footwear manufacturing industry. The experimentation was carried out according to an orthogonal arrangement L8. Analysis of variance ANOVA was used to determine the effects of the input variables tooling material, pulse time, tool shape and cutting depth on the output variables material removal rate and surface roughness ; as well as a regression analysis to predict the results of the experimental analysis.

The results have shown that machining parameters can be optimized with considerations of multiple responses effectively. It is evident that the pulse time is the main influencer in the material removal rate MRR and the machining time has a greater influence on the surface roughness Ra. Finally, it was demonstrated that the copper electrode has better working efficiency and the graphite gives better surface roughness.

This work is licensed under a Creative Commons 3. Full list. Downloads Download data is not yet available. Amorim, F. Aspects on the optimization of die-sinking EDM of tungsten carbide-cobalt. Banker, K. Parameter optimization of electro discharge machine of AISI steel by using taguchi method. Kunieda, M. Advancing EDM through fundamental insight into the process. Lee, L. Quantification of surface damage of tool steels after EDM.

International Journal of Machine Tools and Manufacture, 28 4 , Lin, C. Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Marafona, J. A new method of optimising material removal rate using EDM with copper—tungsten electrodes. International Journal of Machine Tools and Manufacture, 40 2 , Pandey, P.

Electrical machining characteristics of cemented carbides. Wear, 1 , Roy, T. Trends Technol. IJETT , 13 5 , Sanghani, C. A review of research on improvement and optimization of performance measures for electrical discharge machining. Journal of Engineering Research and Applications, 4 1 , Shrivastava, S. Influence of process parameters and electrode shape configuration on material removal rate, surface roughness and electrode wear in die sinking EDM: a review. Singh, B. International Journal of Hybrid Information Technology, 8 10 , Sohani, M.

Investigations into the effect of tool shapes with size factor consideration in sink electrical discharge machining EDM process. Su, J. Optimisation of the electrical discharge machining process using a GA-based neural network. Wu, J. Fast and stable electrical discharge machining EDM.

Mechanical Systems and Signal Processing, 72, Yahya, A. Determination of material removal rate of an electro-discharge machine using dimensional analysis. Journal of Physics D: Applied Physics, 37 10 , Published Use of an orthogonal arrangement for the analysis of the process of die sink electrical discharge machining with shape electrodes of graphite and copper on aluminum micro-casting.

Enfoque UTE , 9 3 , pp. Issue Vol. Make a Submission Make a Submission. Indexing Full list. Current Issue.

AMSTERDAM GEZI REHBERI PDF

Arreglos Ortogonales

Ejidos de Huipulco, Tlalpan, C. Autism diagnosis requires validated diagnostic tools employed by mental health professionals with expertise in autism spectrum disorders. This conventionally requires lengthy information processing and technical understanding of each of the areas evaluated in the tools. Classifying the impact of these areas and proposing a system that can aid experts in the diagnosis is a complex task. The number of cases for the network training data was determined by using the Taguchi method with Orthogonal Arrays reducing the sample size from , to only It was found that the items "Showing", "Shared enjoyment in Interaction" and "Frequency of vocalization directed to others", are the areas of highest impact for Autism diagnosis. The methodology here presented can be replicated to different Autism diagnosis tests to classify their impact areas as well.

BD677 DATASHEET PDF

Dis Taguchi

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Resumen En el presente trabajo se hace uso de los arreglos ortogonales propuestos por Taguchi para maximizar el rendimiento termico de un colector solar de placa plana. En el proceso de optimizacion son considerados cuatro factores, los cuales son: angulo de inclinacion del colector, espaciamiento entre la placa absorbedora y la cubierta, espesor del aislamiento en la parte inferior del colector y el material del aislamiento en la parte inferior del colector. View PDF. Save to Library. Create Alert.

DSA 3 REGELWERK PDF

Embed Size px x x x x Taguchi es la optimizacin de productos y procesos, a fin de asegurar productos robustos, de alta calidad y bajo costo. La metodologa Taguchi consta de tres etapas: a Diseo del sistema b Diseo de parmetros c Diseo de tolerancias De estas tres etapas, la ms importante es el diseo de parmetros cuyos objetivos son: a Identificar qu factores afectan la caracterstica de calidad en cuanto a su magnitud y en cuanto a su variabilidad. Para lograr lo anterior se ha manejado una serie de herramientas estadsticas conocida como diseo de experimentos, tratadas anteriormente.

Related Articles