18 resultados para Combinatoria


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This dissertation addresses the main theme the use of desirability tool in optimizing a process with multiple response variables. The current scenario of strong bids to conquer the consumer market makes it necessary to develop improvements for better process performance as a whole, is to cut costs, increase efficiency or effectiveness. Thus, the use of methods to assist in this process is becoming increasingly feasible. This study used the MINITAB program and the data of the doctoral thesis of Dr. Luiz Henrique Dias Alves, in order to compare the results obtained in both studies. As a result, after applying the desirability method, simulated to optimize two responses variables regarding the formation of voids related to solidification in ABNT 1030 steel casting process. Thus, it was possible to evaluate the behavior of the variables with the variation of parameters of the desirability function

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In the current economic scenario, it is important to the incessant search for improvements in production quality and also in reducing costs. The great competition and technological innovation makes customers stay more and more demanding and seek multiple sources of improvement in production. The work aimed to use the general desirability to optimize a process involving multiple answers in machining experiment. The process of cylindrical turning is one of the most common processes of metal cutting machining and involves several factors, in which will be analysed the best combination of the input factors in machining process, with variable response to surface roughness (Ra) and cutting length (Lc) that vary important answers to measure process efficiency and product quality. The method is a case study, since it involves a study of a tool well addressed in the literature. Data analysis was used in the process of doctoral thesis of Ricardo Penteado on the theme using metaheuristicas combined with different methods of bonding for the optimization of a turning process of multiple responses, then used the desirability and analysis tool. Joint optimization by desirability, the method proposed the following combination of input variables, variable cutting speed at 90 m/min ( -1 level), the breakthrough in 0, 12 mm/revol. ( -1 level), the machining depth should be in 1.6 mm (level 1), gum used must be the TP2500 ( -1 level), in abundant fluid (level 1) and laminated material (level 1) to the maximization of the cutting length (Lc) and minimization of roughness (Ra)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA