Made available in DSpace on 2010-04-20T20:08:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2001-04-04T00:00:00Z / Taguchi's Method is very well known in the industrial sector of manufacturing in the quality control. This method has interesting concepts such as, robustness and loss of quality, what make it very useful to identify variation in the production system, quantifying the variation and allowing eliminating the undesirable factors. Reviewing the literature we verify that the Taguchi's Method were never applied in the organization environment, as a tool to quantify and make hierarchical classification of the management problems. We decide to make an experiment and use the Taguchis Method at Instituto de Saúde. Through the use of orthogonal matrix it was possible to quantify the dissatisfaction concerning the management problems and list them in a priority order to later resolution. The method was validated with verification of the results through interviews done after the process that showed big concordance with the previous results. Our conclusion is that Taguchi's Method could be very useful in organizations, mainly when a lot of variables are involved. This method is good to reduce the number of factors that at the beginning of a reorganization process seems equally important. The construction of a priority scale is without doubt, important to the management team, who will be able to take efficient decisions. / O método de Taguchi é muito conhecido no setor industrial de manufatura onde é usado para controle de qualidade. Apresenta conceitos interessantes tais como robustez e perda de qualidade, sendo bastante útil para identificar variações do sistema de produção, durante o processo industrial, quantificando a variação e permitindo, eliminar os fatores indesejáveis. Ao revermos a literatura, verificamos que o método de Taguchi nunca havia sido aplicado em organizações, como ferramenta para quantificar e hierarquizar problemas gerenciais. Resolvemos então fazer um experimento e usá-lo no Instituto de Saúde. Através do uso de matriz ortogonal, foi possível quantificar a insatisfação quanto aos problemas gerenciais e hierarquizá-los para posterior resolução. O método foi validado com verificação dos resultados através de entrevistas posteriores ao processo, que mostraram grande concordância de resultados. A nossa conclusão é que o Método de Taguchi pode ser bastante útil nas organizações principalmente quando se tem muitas variáveis e todas parecem igualmente importante e prioritárias. Esse método é útil para reduzir o número de fatores e hierarquizá-los segundo a importância para organização em questão. A construção de uma escala de prioridades, sem dúvida facilita o processo de tomada de decisão, permitindo a gerência tomar medidas eficientes e de qualidade.

Submitted by Daniele Amaral (daniee_ni@hotmail.com) on 2017-10-09T20:25:42Z No. of bitstreams: 1 DissSBML.pdf: 11036305 bytes, checksum: bfd6a7dc18c9f75ffae64cce4523adf4 (MD5) / Approved for entry into archive by Ronildo Prado (bco.producao.intelectual@gmail.com) on 2018-01-25T12:34:11Z (GMT) No. of bitstreams: 1 DissSBML.pdf: 11036305 bytes, checksum: bfd6a7dc18c9f75ffae64cce4523adf4 (MD5) / Approved for entry into archive by Ronildo Prado (bco.producao.intelectual@gmail.com) on 2018-01-25T12:34:20Z (GMT) No. of bitstreams: 1 DissSBML.pdf: 11036305 bytes, checksum: bfd6a7dc18c9f75ffae64cce4523adf4 (MD5) / Made available in DSpace on 2018-01-25T12:39:08Z (GMT). No. of bitstreams: 1 DissSBML.pdf: 11036305 bytes, checksum: bfd6a7dc18c9f75ffae64cce4523adf4 (MD5) Previous issue date: 2017-08-28 / Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) / Aluminum alloys are widely used in transportation industry to reduce structural weight and fuel consumption. The development of advanced alloys and more effective technologies for joining materials contribute to achieve such objectives. AlMgSc alloys emerge as an interesting option to structural applications due to low density and high mechanical performance, as well as an attractive cost. Friction spot welding (FSpW) process is a novel solid state joining technology that has proven to be suitable for joining lightweight materials. This process is carried out in a few steps and in a short time with low thermal cycles and energy consumption as well as without extra materials addition. Thus, this process is an alternative to industrial techniques such as riveting and resistance spot welding. This work presents, for the first time, the application results of FSpW on AlMgSc sheets in overlapping configuration. The effect of the process parameters, such as rotational speed, plunge depth and plunge time, was investigated in order to obtain joints with higher lap shear strength. The Taguchi method and the analysis of variance were applied to study the influence of each parameter on mechanical properties of the joints. In addition, the welds were submitted to microstructural characterization and a material flow analysis provided an initial understanding about the formation of microstructural features. Therefore, the fatigue performance was analyzed for the condition of higher lap shear strength and the S-N curve was drawn. The results indicated a good static performance of the welds, although the fatigue performance was less satisfactory. Finally, failure mechanisms of static and dynamic tests seemed to be strongly related to geometric features, such as hook, bonding ligament and microstructural transition regions. / Ligas de alumínio são amplamente utilizadas em indústrias de transporte visando a redução do peso estrutural e consumo de combustíveis. O desenvolvimento de ligas avançadas e tecnologias mais efetivas de união contribuem para o alcance de tais objetivos. Ligas do sistema AlMgSc surgem como opção interessante para utilização estrutural devido à baixa densidade e alto desempenho mecânico, aliados a um custo atrativo. O processo de soldagem a ponto por fricção (FSpW) é uma tecnologia recente de união de materiais no estado sólido, que tem se mostrado adequado para a união de ligas leves. Tal processo é realizado em poucas etapas e curto tempo, com baixos ciclos térmicos e consumo energético e sem adição de materiais extras, se mostrando, portanto, uma alternativa a técnicas utilizadas industrialmente, como rebitagem e solda a ponto por resistência. Esse trabalho apresenta, pela primeira vez, resultados de aplicação do FSpW em chapas AlMgSc sobrepostas. O efeito dos parâmetros do processo, como velocidade de rotação, profundidade e tempo de penetração da ferramenta, foi investigado visando a obtenção de soldas com maior resistência em ensaios de cisalhamento, dita condição otimizada. Para tal, foi aplicado o método Taguchi e análise de variância para estudar a importância de cada parâmetro na resistência mecânica das juntas. Além disso, as soldas foram caracterizadas microestruturalmente e uma análise do fluxo de material proporcionou um entendimento inicial acerca da formação de algumas características microestruturais. Ademais, o desempenho em fadiga foi analisado para a condição otimizada de soldagem e a curva S-N foi levantada. Os resultados obtidos apontam um bom desempenho estático das soldas, embora o desempenho em fadiga tenha sido menos satisfatório. Finalmente, os mecanismos de falha, de ensaios estáticos e dinâmicos, foram observados e se mostraram fortemente relacionados a elementos geométricos, como cunha, e linha de união, além de regiões de transições microestruturais. / CNPq: 134654/2016-1

[...]L’inspection des surfaces considérées est basée sur la technique d’Inspection par Particules Magnétiques (Magnetic Particle Inspection (MPI)) qui révèle les défauts de surfaces après les traitements suivants : la surface est enduite d’une solution contenant les particules, puis magnétisées et soumise à un éclairage Ultra-Violet. La technique de contrôle non destructif MPI est une méthode bien connue qui permet de révéler la présence de fissures en surface d’un matériau métallique. Cependant, une fois le défaut révélé par le procédé, ladétection automatique sans intervention de l’opérateur en toujours problématique et à ce jour l'inspection basée sur le procédé MPI des matériaux tubulaires sur les sites de production deVallourec est toujours effectuée sur le jugement d’un opérateur humain. Dans cette thèse, nous proposons une approche par vision artificielle pour détecter automatiquement les défauts à partir des images de la surface de tubes après traitement MPI. Nous avons développé étape par étape une méthodologie de vision artificielle de l'acquisition d'images à la classification.[...] La première étape est la mise au point d’un prototype d'acquisition d’images de la surface des tubes. Une série d’images a tout d’abord été stockée afin de produire une base de données. La version actuelle du logiciel permet soit d’enrichir la base de donnée soit d’effectuer le traitement direct d’une nouvelle image : segmentation et saisie de la géométrie (caractéristiques de courbure) des défauts. Mis à part les caractéristiques géométriques et d’intensité, une analyse multi résolution a été réalisée sur les images pour extraire des caractéristiques texturales. Enfin la classification est effectuée selon deux classes : défauts et de non-défauts. Celle ci est réalisée avec le classificateur des forêts aléatoires (Random Forest) dont les résultats sontcomparés avec les méthodes Support Vector Machine et les arbres de décision.La principale contribution de cette thèse est l'optimisation des paramètres utilisées dans les étapes de segmentations dont ceux des filtres de morphologie mathématique, du filtrage linéaire utilisé et de la classification avec la méthode robuste des plans d’expériences (Taguchi), très utilisée dans le secteur de la fabrication. Cette étape d’optimisation a été complétée par les algorithmes génétiques. Cette méthodologie d’optimisation des paramètres des algorithmes a permis un gain de temps et d’efficacité significatif. La seconde contribution concerne la méthode d’extraction et de sélection des caractéristiques des défauts. Au cours de cette thèse, nous avons travaillé sur deux bases de données d’images correspondant à deux types de tubes : « Tool Joints » et « Tubes Coupling ». Dans chaque cas un tiers des images est utilisé pour l’apprentissage. Nous concluons que le classifieur du type« Random Forest » combiné avec les caractéristiques géométriques et les caractéristiques detexture extraites à partir d’une décomposition en ondelettes donne le meilleur taux declassification pour les défauts sur des pièces de « Tool Joints »(95,5%) (Figure 1). Dans le cas des « coupling tubes », le meilleur taux de classification a été obtenu par les SVM avec l’analyse multirésolution (89.2%) (figure.2) mais l’approche Random Forest donne un bon compromis à 82.4%. En conclusion la principale contrainte industrielle d’obtenir un taux de détection de défaut de 100% est ici approchée mais avec un taux de l’ordre de 90%. Les taux de mauvaises détections (Faux positifs ou Faux Négatifs) peuvent être améliorés, leur origine étant dans l’aspect de l’usinage du tube dans certaines parties, « Hard Bending ».De plus, la méthodologie développée peut être appliquée à l’inspection, par MPI ou non, de différentes lignes de produits métalliques / Industrial surface inspection of tubular material based on Magnetic Particle Inspection (MPI) is a challenging task. Magnetic Particle Inspection is a well known method for Non Destructive Testing with the goal to detect the presence of crack in the tubular surface. Currently Magnetic Particle Inspection for tubular material in Vallourec production site is stillbased on the human inspector judgment. It is time consuming and tedious job. In addition, itis prone to error due to human eye fatigue. In this thesis we propose a machine vision approach in order to detect the defect in the tubular surface MPI images automatically without human supervision with the best detection rate. We focused on crack like defects since they represent the major ones. In order to fulfill the objective, a methodology of machine vision techniques is developed step by step from image acquisition to defect classification. The proposed framework was developed according to industrial constraint and standard hence accuracy, computational speed and simplicity were very important. Based on Magnetic Particle Inspection principles, an acquisition system is developed and optimized, in order to acquire tubular material images for storage or processing. The characteristics of the crack-like defects with respect to its geometric model and curvature characteristics are used as priory knowledge for mathematical morphology and linear filtering. After the segmentation and binarization of the image, vast amount of defect candidates exist. Aside from geometrical and intensity features, Multi resolution Analysis wasperformed on the images to extract textural features. Finally classification is performed with Random Forest classifier due to its robustness and speed and compared with other classifiers such as with Support Vector Machine Classifier. The parameters for mathematical morphology, linear filtering and classification are analyzed and optimized with Design Of Experiments based on Taguchi approach and Genetic Algorithm. The most significant parameters obtained may be analyzed and tuned further. Experiments are performed ontubular materials and evaluated by its accuracy and robustness by comparing ground truth and processed images. This methodology can be replicated for different surface inspection application especially related with surface crack detection

La technologie laser est couramment utilisée dans les industries aéronautiques depuis les années 1980. La découpe au laser, comme étant un procédé d’enlèvement de matière, offre plus d’avantages que les procédés conventionnels de la découpe. Parmi les apports du laser, l’absence de contact mécanique avec le matériau à usiner, une limitation de contamination des matériaux et une production élevée due à une haute vitesse de coupe. Les alliages de titane et les composites intermétalliques à base de titane jouent un rôle important dans le domaine de la science et de l’ingénierie ainsi ils permettent de satisfaire les activités de fabrication avancée dans les industries aéronautiques. L’amélioration de ce procédé de fabrication est souhaitable pour augmenter les performances techniques et accentuer l’intérêt économique. Les travaux réalisés ont porté sur l’étude et l’analyse des effets des paramètres de l’usinage par faisceau laser sur l’intégrité de la surface en termes de qualité et morphologie de la surface usinée de plusieurs matériaux, tels que, le titane pur, les alliages de titaneTi-6Al-4V et Ti6242 et le composite intermétallique à base de titane afin d’optimiser les conditions de découpage par laser.La sélection des paramètres de coupe dans le processus d’usinage laser tels que la puissance du laser, la vitesse de coupe, la pression du gaz d’assistance est importante pour assurer l’exactitude de l’usinage et l’amélioration de la microstructure, la rugosité, la zone affectée thermiquement, la largeur de la saignée, la micro dureté et le taux d’enlèvement de matière, résultant des sollicitations mécaniques et thermiques subies durant les différentes étapes de production.Cette étude se base sur une approche empirique faisant intervenir la méthodologie des plans d’expériences (ANOVA, Taguchi), la technique de la logique floue et les méthodes de décision multicritères (FTOPSIS, GRA) pour définir d’une façon rationnelle les essais expérimentaux visant à optimiser les conditions de découpe au laser dans le but de maximiser la production en assurant une meilleure qualité de fabrication. / Laser technology has been widely used in the aeronautics industry since the 1980s. Laser cutting, as a material removal process, offers more advantages than conventional cutting processes. Among the contributions of the laser, the absence of mechanical contact with the material, a limitation of contamination of the materials and a high production due to a high cutting speed. Titanium alloys and titanium-based intermetallic composites have an important role in the field of science and engineering, making it possible to satisfy advanced manufacturing activities in the aerospace industries. Improvement of this manufacturing process is desirable to increase technical performance and economic interest. The present framework focused on study and analysis of the effects of laser beam machining parameters on the surface integrity in terms of quality and morphology of several materials, such as pure titanium, titanium alloysTi-6Al-4V and Ti6242 and the titanium-based intermetallic composite to optimize laser cutting conditions.Selection of cutting parameters in the laser machining process such as laser power, cutting speed, assist gas pressure is important to ensure machining accuracy and microstructure , roughness, heat affected zone, kerf width, microhardness and rate of removal of material improvement, resulting from the mechanical and thermal stresses undergone during the different stages of production.This study is based on an empirical approach involving the experimental design methodology (ANOVA, Taguchi), the fuzzy logic technique and the multicriteria decision methods (FTOPSIS, GRA) aiming at optimizing laser cutting conditions in order to maximize production by ensuring better manufacturing quality.

A research report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, Johannesburg, in partial fulfilment of the requirements for the degree of Master of Science in Engineering. Date: September 2017, Johannesburg / The focus in this research investigation is to investigate the Process Parameter Optimisation in Laser Beam Forming (LBF) process using the 4.4 kW Nd: YAG laser system – Rofin DY 044 to form 200 x 50 x 3 mm3 mild steel - AISI 1008 samples. The laser power P, beam diameter B, scan velocity V, number of scans N, and cooling flow C were the five input parameters of interest in the investigation because of their influence in the final formed product. Taguchi Design of Experiment (DoE) was used for the selection and combination of input parameters for LBF process. The investigation was done experimentally and computationally. Laser Beam Forming (LBF) input parameters were categorised to three different levels, low (L), medium (M), and high (H) laser forming (LBF) parameters to evaluate parameters that yield maximum bending and better surface finish/quality. The conclusion drawn from LBF process is that samples which are LBFormed using low parameter settings had unnoticeable bending and good material surface finishing. On the other hand, samples LBFormed using medium parameters yielded visible bending and non-smooth surface finishing, while samples processed using high LBF parameters yielded maximum bending and more surface roughness than the other two process parameters. / MT2018

Les microsystèmes ou MEMS (Micro Electro Mechanical Systems) entrent dans une phase industrielle. Habituellement conçus à partir de procédés utilisés classiquement en microélectronique, ils peuvent aussi inclurent des parties non électroniques : mécaniques, optiques, etc. Leur complexité technologique et la difficulté à modéliser ces applications multi-physiques ont retardé leur industrialisation, mais cette phase est aujourd'hui atteinte. En parallèle se développent donc des contraintes de coût de fabrication et de rendement dans le milieu très concurrentiel du semiconducteur. Les travaux réalisés dans le cadre de cette thèse visent à développer un logiciel implémentant un algorithme original d'optimisation statistique du rendement paramétrique qui tente de s'affranchir des principales limites associées aux méthodes courantes. Il se présente comme un module aisément insérable dans un flot de conception de circuit intégré ou de MEMS. Il s'agit d'optimiser les dimensions des structures réalisées afin de limiter les variations et dégradations des performances des microsystèmes qui sont dues aux fluctuations inéluctables des paramètres technologiques lors de leur fabrication, et sont causes de mauvais rendement.

In industrial processes decreasing variation is very important while achieving the targets. For manufacturers, finding out optimal settings of product and process parameters that are capable of producing desired results under great conditions is crucial. In most cases, the quality response is measured on a continuous scale. However, in some cases, the desired quality response may be qualitative (categorical). There are many effective methods to design robust products/process through industrial experimentation when the response variable is continuous. But methods proposed so far in the literature for robust design with categorical response variables have various limitations. This study offers a simple and effective method for the analysis of categorical response data for robust product or process design. This method handles both location and dispersion effects to explore robust settings in an effective way. The method is illustrated on two cases: A foam molding process design and an iron-casting process design.

In industrial quality improvement and design studies, an important aim is to improve the product or process quality by determining factor levels that would result in satisfactory quality results. In these studies, quality characteristics that are qualitative are often encountered. Although there are many effective methods proposed for parameter optimization (robust design) with continuous responses, the methods available for qualitative responses are limited. In this study, a parameter optimization method for solving binary response robust design problems is proposed. The proposed method uses Mahalanobis Taguchi System to form a classification model that provides a distance function to separate the two response classes. Then, it finds the product/process variable settings that minimize the distance from the desired response class using quadratic programming. The proposed method is applied on two cases previously studied using Logistic Regression. The classification models are formed and the parameter optimization is conducted using the formed MTS models. The results are compared with those of the Logistic Regression. Conclusions and suggestions for future work are given.

The main objective of this study is to evaluate the effects of microwave frying process on the quality of potato slices and to optimize the process by using different statistical optimization techniques. Use of microwave frying for food products may be considered as a new way of improving the quality of the fried foods. In the first part of the study, the effects of microwaves on quality of fried potatoes (moisture content, oil content, color and hardness) were studied and the process was optimized by using Taguchi Technique. Microwave power level (400W, 550W and 700W), frying time (2.0, 2.5, 3.0 minutes) and oil type (sunflower, corn and hazelnut oil) were the parameters used in the study. Moisture content of potatoes decreased whereas oil content, hardness and &amp / #916 / E values of the potatoes increased with increasing frying time and microwave power level. The potatoes with the highest oil content were found to be the ones that were fried in the hazelnut oil. The optimum condition was found as frying at 550W microwave power level, for 2.5 minutes in sunflower oil. The potatoes that were fried at the optimum condition were determined to have lower oil contents compared to the ones fried conventionally.In the second part of the study, osmotic dehydration was applied prior to microwave frying process in order to reduce oil uptake and to evaluate the effect of osmotic dehydration with microwaves on quality of fried potatoes. The process was optimized by using both Taguchi Technique and Response Surface Methodology. Microwave power level (400W, 550W and 700W), frying time (1.5, 2.0, 2.5 minutes) and osmotic dehydration time (15, 30, 45 minutes) were the parameters used in the study. Osmotic dehydration treatment was conducted in a salt solution of 20 % (w/w) at 30oC. Moisture content decreased whereas oil content, hardness and &amp / #916 / E value of potatoes increased with increasing frying time and microwave power level. Dehydration of potatoes osmotically prior to frying reduced the oil content of fried potatoes. The optimum condition was found as frying at 400 W microwave power level for 1.5 min after 30 min of osmotic dehydration time according to Taguchi Technique. Microwave power level and frying time were the same as Taguchi Technique but osmotic dehydration time was 39 min for the optimum condition found using response surface methodology.

Submitted by Juliana Laiate (jlaiatetana@gmail.com) on 2018-10-04T19:13:17Z No. of bitstreams: 1 Juliana Laiate_Tese Doutorado_Correção Biblioteca_Versão Final.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5) / Approved for entry into archive by Pamella Benevides Gonçalves null (pamella@feg.unesp.br) on 2018-10-05T13:30:56Z (GMT) No. of bitstreams: 1 laiate_j_dr_guara.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5) / Made available in DSpace on 2018-10-05T13:30:56Z (GMT). No. of bitstreams: 1 laiate_j_dr_guara.pdf: 5872852 bytes, checksum: c627770397e856b9d9aba7d0f399f835 (MD5) Previous issue date: 2018-08-31 / Outra / O interesse na diversificação da matriz energética por meio de fontes de energias renováveis tem promovido mudanças no âmbito nacional e internacional, em setores acadêmicos, industriais, sociais e governamentais com foco no desenvolvimento de processos biotecnológicos baseados nos três pilares da sustentabilidade: ambiental, social e econômico. Frente a esse contexto, as microalgas são consideradas uma fonte promissora alternativa para a produção de biocombustíveis por apresentarem alta taxa de crescimento e de concentração de lipídeos. O presente trabalho realizou um estudo do processo de cultivo da microalga marinha Chlorella minutíssima por meio da ferramenta DOE – Design of Experiments para maximização da sua concentração microalgal e do teor lipídico simultaneamente, além de sua caracterização termoquímica para aplicação no processo de gaseificação. O cultivo ocorreu em fotobiorreator tubular descontínuo do tipo coluna de bolhas seguindo o arranjo ortogonal L8 de Taguchi, e as variáveis de processo foram fluxo de CO2 na alimentação, concentração de nitrato, concentração de fosfato, suplementação, temperatura e salinidade. A investigação demonstrou que a concentração de nitrato e fosfato, o fluxo de gás carbônico, a suplementação do meio e a temperatura são fatores influentes na concentração microalgal e no teor lipídico, sendo a melhor configuração para maximização conjunta, utilizando-se a função desirability, com o nitrato operando em nível alto e os demais fatores em nível baixo. A análise elementar forneceu teores condizentes com alguns relatos da literatura, a termogravimetria auxiliou na identificação das faixas de temperatura com maior taxa de decomposição (300 °C a 400 °C), e o poder calorífico superior da biomassa encontrado se demonstrou atrativo para a produção de syngas quando comparado ao de materiais como casca de arroz e lascas de eucalipto já empregados na gaseificação em maior escala. Dessa forma, a metodologia empregada e os resultados apresentados neste trabalho podem auxiliar na busca da viabilização econômica do cultivo, em grande escala, da microalga marinha Chlorella minutíssima para produção de biocombustível pelo processo de gaseificação. / The interest in diversifying the energy matrix through renewable energy sources has promoted changes at the national and international levels in academic, industrial, social and governmental sectors, focused on the development of biotechnological processes based on the three pillars of sustainability: environmental, social and economic. In this context, microalgae are considered a strong promising alternative source for the production of biofuels due to their high rate of growth and lipid concentration. The present work carried out a study of the cultivation process of the marine microalgae Chlorella minutíssima using DOE – Design of Experiments to maximize the cell growth and the lipid content simultaneously, besides its thermochemical characterization for application in the gasification process. Cultivation occurred in a discontinuous-tubular photobioreactor, bubble-column type, following Taguchi L8 Orthogonal Array design, and the process variables were: CO2 feed flow rate, nitrate concentration, phosphate concentration, supplementation (metals and vitamins), temperature and salinity. Results showed that the nitrate and phosphate concentration, CO2 feed flow, supplements and temperature are influential factors in the cell growth and lipid content, and the best configuration presenting good results for simultaneous maximization, using desirability, was nitrate operating at high level and the other factors at low level. Ultimate analysis provided levels consistent with some reports in the literature. Thermogravimetric analysis identified the temperature ranges with the highest decomposition rate (300 °C to 400 °C). The higher heating value of the biomass found was attractive for the production of syngas when compared to raw materials such as rice husk and eucalyptus chips already used in the larger scale gasification. In face of, the methodology employed and the results presented in this work can be useful in seeking economic feasibility of the large-scale cultivation of Chlorella minutíssima for the production of biofuels by the gasification process. / PRH48 - ANP