Utilização da função desirability na otimização do processo de usinagem da superliga NIMONIC 80A

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)

Utilização da função Desirability em um processo de fundição de aço ABNT 1030

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

Simulação para a otimização da colheita da cana-de-açúcar

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

Otimização dos métodos de expressão e solubilização do alérgeno fosfolipase A1 do veneno de Polybia paulista

A vespa social Polybia paulista (Hymenoptera, Vespidae) é bastante abundante e endêmica nos Estados de São Paulo e sul de Minas Gerais. Os indivíduos da espécie causam um elevado número de acidentes de importância médica. Após a ferroada a vítima pode experimentar reações imunológicas locais e/ou sistêmicas, que em alguns casos podem conduzir a anafilaxia e morte. O diagnóstico e terapia de alergia à ferroada de P. paulista é baseado no uso de extrato de veneno bruto o que se associa à ocorrência de reatividade cruzada e reações imunológicas adversas durante a imunoterapia. O uso de alérgenos recombinantes (r) tem-se mostrado como uma alternativa interessante para reduzir o impacto destas desvantagens. Neste trabalho, foram avaliadas diferentes condições para otimizar a expressão recombinante e solubilização dos corpúsculos de inclusão da fosfolipase A1 (Poly p 1) (70kDa) do veneno de P. paulista previamente obtida mediante expressão heteróloga no sistema procariótico, Escherichia coli. Os resultados aqui obtidos contribuirão para aumentar as quantidades do r Poly p 1 necessárias para sua avaliação bioquímica e imunológica, e finalmente para melhorar os resultados do diagnóstico e imunoterapia específica de alergia ao veneno de P. paulista

Um Modelo de otimização inteira mista na programação de produção de mangueiras hidráulicas

This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow