Industrial process and space heat from nuclear reactors : a literature search /

"October 1959."

Waste clearinghouses and exchanges : a summary : new ways for identifying and transferring reusable industrial process wastes.

NTIS: PB-261 287.

An evaluation of task analysis techniques for industrial process control

The concept of a task is fundamental to the discipline of ergonomics. Approaches to the analysis of tasks began in the early 1900's. These approaches have evolved and developed to the present day, when there is a vast array of methods available. Some of these methods are specific to particular contexts or applications, others more general. However, whilst many of these analyses allow tasks to be examined in detail, they do not act as tools to aid the design process or the designer. The present thesis examines the use of task analysis in a process control context, and in particular the use of task analysis to specify operator information and display requirements in such systems. The first part of the thesis examines the theoretical aspect of task analysis and presents a review of the methods, issues and concepts relating to task analysis. A review of over 80 methods of task analysis was carried out to form a basis for the development of a task analysis method to specify operator information requirements in industrial process control contexts. Of the methods reviewed Hierarchical Task Analysis was selected to provide such a basis and developed to meet the criteria outlined for such a method of task analysis. The second section outlines the practical application and evolution of the developed task analysis method. Four case studies were used to examine the method in an empirical context. The case studies represent a range of plant contexts and types, both complex and more simple, batch and continuous and high risk and low risk processes. The theoretical and empirical issues are drawn together and a method developed to provide a task analysis technique to specify operator information requirements and to provide the first stages of a tool to aid the design of VDU displays for process control.

The synthesis of maleic anhydride: study of a new process and improvement of the industrial catalyst

Maleic anhydride is an important chemical intermediate mainly produced by the selective oxidation of n-butane, an industrial process catalyzed by vanadyl pyrophosphate-based materials, (VO)2P2O7. The first topic was investigated in collaboration with a company specialized in the production of organic anhydrides (Polynt SpA), with the aim of improving the performance of the process for the selective oxidation of n-butane to maleic anhydride, comparing the behavior of an industrial vanadyl pyrophosphate catalysts when utilized either in the industrial plant or in lab-scale reactor. The study was focused on how the catalyst characteristics and reactivity are affected by the reaction conditions and how the addition of a dopant can enhance the catalytic performance. Moreover, the ageing of the catalyst was studied, in order to correlate the deactivation process with the modifications occurring in the catalyst. The second topic was produced within the Seventh Framework (FP7) European Project “EuroBioRef”. The study was focused on a new route for the synthesis of maleic anhydride starting from an alternative reactant produced by fermentation of biomass:“bio-1-butanol”. In this field, the different possible catalytic configurations were investigated: the process was divided into two main reactions, the dehydration of 1-butanol to butenes and the selective oxidation of butenes to maleic anhydride. The features needed to catalyze the two steps were analyzed and different materials were proposed as catalysts, namely Keggin-type polyoxometalates, VOPO4∙2H2O and (VO)2P2O7. The reactivity of 1-butanol was tested under different conditions, in order to optimize the performance and understand the nature of the interaction between the alcohol and the catalyst surface. Then, the key intermediates in the mechanism of 1-butanol oxidehydration to MA were studied, with the aim of understanding the possible reaction mechanism. Lastly, the reactivity of the chemically sourced 1-butanol was compared with that one of different types of bio-butanols produced by biomass fermentation.

Kinetics and Modeling of Fatty Alcohol Ethoxylation in an Industrial Spray Loop Reactor

The kinetics of the ethoxylation of fatty alcohols catalyzed by potassium hydroxide was studied to obtain the rate constants for modeling of the industrial process. Experimental data obtained in a lab-scale semibatch autoclave reactor were used to evaluate kinetic and equilibrium parameters. The kinetic model was employed to model the performance of an industrial-scale spray tower reactor for fatty alcohol ethoxylation. The reactor model considers that mass transfer and reaction occur independently in two distinct zones of the reactor. Good agreement between the model predictions and real data was found. These findings confirm the reliability of the kinetic and reactor model for simulating fatty alcohol ethoxylation processes under industrial conditions.

O impacto do ambiente e das energias renováveis no projeto de instalações de frio industrial num matadouro

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecãnica

Implementação de um processo industrial de coloração de granito

O presente estágio foi desenvolvido na Britafiel. Um dos projectos em que a Empresa se encontra envolvida é o STOCO, pretendendo implementar à escala industrial um processo de coloração de pedra granítica natural para fins decorativos. Foi neste projecto que se enquadrou o estágio. O tema do estágio centra-se no processo de coloração de granito tendo como principal foco a implementação de um processo industrial de produção de granito colorido. O projecto STOCO nasce da necessidade de complementar a actividade da empresa com produtos de maior valor acrescentado para valorização da matéria-prima de base, o granito. STOCO, resultante de Stone Color, é o nome dado ao projecto e ao novo produto que é granito colorido, sob a forma de brita. Pretende-se obter um produto amigo do ambiente e com boas características: manter a textura natural da pedra granítica e assegurar uma boa resistência a factores agressivos. Estudos prévios de qualidade e de toxicidade mostraram que o produto STOCO desenvolvido até então apresenta um bom comportamento face a agressões climatéricas e que não compromete a vida das espécies usadas nos testes (peixes). Em relação aos lixiviados e resíduos da pedra colorida STOCO, estes não apresentaram qualquer problema ambiental, sendo considerado um produto amigo do ambiente. À data de início do presente trabalho estava em funcionamento um equipamento protótipo de produção de granito colorido (100 kg/partida), sendo a instalação e o arranque da unidade industrial (3 ton/h) concretizados no início de 2014, já no decorrer deste trabalho. Os objectivos cumpridos no âmbito deste trabalho foram então a implementação de uma linha industrial de produção de brita colorida, avaliação técnica do processo e do custo industrial de produção associado às matérias-primas. Neste relatório é descrito o processo inicial adoptado e apresentam-se as alterações efectuadas para melhoria do processo produtivo. Resolveram-se problemas como: definição e instalação de equipamentos complementares para a entrada e a saída da brita no equipamento industrial; pó excessivo na brita; cheiro intenso a gás e elevado ruído; adequação do sistema de pintura; e secagem incompleta da brita. Alguns destes problemas não foram totalmente resolvidos, mas sim minimizados. O equipamento industrial necessita ainda de alterações em diversas áreas, que foram identificadas e para as quais são feitas sugestões de melhoria. Conseguiu-se ainda fazer alguns testes para uma possível substituição de alguns constituintes da tinta. Os componentes que entram na composição base da tinta aquosa, são de modo simplificado: ligante, pigmento, solvente e aditivos. Os constituintes que mais encarecem a tinta, e consequentemente o processo em causa, são o ligante e o pigmento. Os estudos efectuados precisam de ser aprofundados, na tentativa de melhorar o processo minimizando os custos de produção. Formalizaram-se os procedimentos escritos de produção STOCO tanto para o protótipo como para o processo industrial e elaborou-se uma ficha técnica de produto para a brita colorida STOCO.

Informed Control Over Inputs and Extent of Industrial Processing, June 2005

Stylized facts regarding the industrial process include emphases on obtaining information about and control over the quality of raw materials. We provide a model that establishes conditions under which informed control involves ensuring uniformity in inputs and increased uniformity encourages more extensive processing. We show when the Boltzmann-Shannon entropy statistic is an appropriate measure of uniformity.

MORM--a Petri net based model for assessing OH&S risks in industrial processes: modeling qualitative aspects.

Because of the increase in workplace automation and the diversification of industrial processes, workplaces have become more and more complex. The classical approaches used to address workplace hazard concerns, such as checklists or sequence models, are, therefore, of limited use in such complex systems. Moreover, because of the multifaceted nature of workplaces, the use of single-oriented methods, such as AEA (man oriented), FMEA (system oriented), or HAZOP (process oriented), is not satisfactory. The use of a dynamic modeling approach in order to allow multiple-oriented analyses may constitute an alternative to overcome this limitation. The qualitative modeling aspects of the MORM (man-machine occupational risk modeling) model are discussed in this article. The model, realized on an object-oriented Petri net tool (CO-OPN), has been developed to simulate and analyze industrial processes in an OH&S perspective. The industrial process is modeled as a set of interconnected subnets (state spaces), which describe its constitutive machines. Process-related factors are introduced, in an explicit way, through machine interconnections and flow properties. While man-machine interactions are modeled as triggering events for the state spaces of the machines, the CREAM cognitive behavior model is used in order to establish the relevant triggering events. In the CO-OPN formalism, the model is expressed as a set of interconnected CO-OPN objects defined over data types expressing the measure attached to the flow of entities transiting through the machines. Constraints on the measures assigned to these entities are used to determine the state changes in each machine. Interconnecting machines implies the composition of such flow and consequently the interconnection of the measure constraints. This is reflected by the construction of constraint enrichment hierarchies, which can be used for simulation and analysis optimization in a clear mathematical framework. The use of Petri nets to perform multiple-oriented analysis opens perspectives in the field of industrial risk management. It may significantly reduce the duration of the assessment process. But, most of all, it opens perspectives in the field of risk comparisons and integrated risk management. Moreover, because of the generic nature of the model and tool used, the same concepts and patterns may be used to model a wide range of systems and application fields.

Processo químico industrial de extração de óleo vegetal: um experimento de química geral

In this study we describe an experimental procedure based on a chemical industrial process of soya-bean oil extraction applied in general chemistry for undergraduate students. The experiment was planned according to the Science, Technology and Society (STS) approach to teach basic chemical concepts and provide grounding in the management of environmental care. The use of real life chemistry problems seems to salient the relevance of chemistry to our students and enhances their motivation to learn both the practical and theoretical components of the discipline.

Advanced chemometric methods: Applicability on industrial data

Recent years have produced great advances in the instrumentation technology. The amount of available data has been increasing due to the simplicity, speed and accuracy of current spectroscopic instruments. Most of these data are, however, meaningless without a proper analysis. This has been one of the reasons for the overgrowing success of multivariate handling of such data. Industrial data is commonly not designed data; in other words, there is no exact experimental design, but rather the data have been collected as a routine procedure during an industrial process. This makes certain demands on the multivariate modeling, as the selection of samples and variables can have an enormous effect. Common approaches in the modeling of industrial data are PCA (principal component analysis) and PLS (projection to latent structures or partial least squares) but there are also other methods that should be considered. The more advanced methods include multi block modeling and nonlinear modeling. In this thesis it is shown that the results of data analysis vary according to the modeling approach used, thus making the selection of the modeling approach dependent on the purpose of the model. If the model is intended to provide accurate predictions, the approach should be different than in the case where the purpose of modeling is mostly to obtain information about the variables and the process. For industrial applicability it is essential that the methods are robust and sufficiently simple to apply. In this way the methods and the results can be compared and an approach selected that is suitable for the intended purpose. Differences in data analysis methods are compared with data from different fields of industry in this thesis. In the first two papers, the multi block method is considered for data originating from the oil and fertilizer industries. The results are compared to those from PLS and priority PLS. The third paper considers applicability of multivariate models to process control for a reactive crystallization process. In the fourth paper, nonlinear modeling is examined with a data set from the oil industry. The response has a nonlinear relation to the descriptor matrix, and the results are compared between linear modeling, polynomial PLS and nonlinear modeling using nonlinear score vectors.

Assessing environmental impacts using a comparative LCA of industrial and artisanal production processes: "Minas Cheese" case

This study uses the Life Cycle Assessment (LCA) methodology to evaluate and compare the environmental impacts caused by both the artisanal and the industrial manufacturing processes of "Minas cheese". This is a traditional cheese produced in the state of Minas Gerais (Brazil), and it is considered a "cultural patrimony" in the country. The high participation of artisanal producers in the market justifies this research, and this analysis can help the identification of opportunities to improve the environmental performance of several stages of the production system. The environmental impacts caused were also assessed and compared. The functional unit adopted was 1 kilogram (Kg) of cheese. The system boundaries considered were the production process, conservation of product (before sale), and transport to consumer market. The milk production process was considered similar in both cases, and therefore it was not included in the assessment. The data were collected through interviews with the producers, observation, and a literature review; they were ordered and processed using the SimaPro 7 LCA software. According to the impact categories analyzed, the artisanal production exerted lower environmental impacts. This can be justified mainly because the industrial process includes the pasteurization stage, which uses dry wood as an energy source and refrigeration.

Knowledge-elicitation and data-mining: fusing human and industrial plant information

Knowledge-elicitation is a common technique used to produce rules about the operation of a plant from the knowledge that is available from human expertise. Similarly, data-mining is becoming a popular technique to extract rules from the data available from the operation of a plant. In the work reported here knowledge was required to enable the supervisory control of an aluminium hot strip mill by the determination of mill set-points. A method was developed to fuse knowledge-elicitation and data-mining to incorporate the best aspects of each technique, whilst avoiding known problems. Utilisation of the knowledge was through an expert system, which determined schedules of set-points and provided information to human operators. The results show that the method proposed in this paper was effective in producing rules for the on-line control of a complex industrial process. (C) 2005 Elsevier Ltd. All rights reserved.

Cluster analysis for multivariable process control

This paper describes the novel use of cluster analysis in the field of industrial process control. The severe multivariable process problems encountered in manufacturing have often led to machine shutdowns, where the need for corrective actions arises in order to resume operation. Production faults which are caused by processes running in less efficient regions may be prevented or diagnosed using a reasoning based on cluster analysis. Indeed the intemal complexity of a production machinery may be depicted in clusters of multidimensional data points which characterise the manufacturing process. The application of a Mean-Tracking cluster algorithm (developed in Reading) to field data acquired from a high-speed machinery will be discussed. The objective of such an application is to illustrate how machine behaviour can be studied, in particular how regions of erroneous and stable running behaviour can be identified.

Escola para os filhos dos outros: trajetória histórica da escola industrial de Natal (1942-1968)

This paper presents a reconstruction of the historical trajectory of the Escola Industrial de Natal (Industrial School of Natal), in the period 1942 to 1968, based on the analysis of its cultural, social and pedagogical characteristics in a process in which its educational practices and the individuals who constructed them were getting involved in their actions. In this sense, the concepts of memory and school culture occupied a central place to understand the elements that characterized its administrative and pedagogical organization such as, for example, its curriculum, aims, disciplinary rules, clientele, teachers, leaders and the configuration of the institutional power. Designed to meet the demands of an industrial process that has strengthened in the country, throughout its history, the Escola Industrial de Natal was becoming a space predominantly occupied by individuals, from economically disadvantaged social groups in society, in search of a professional training that would guarantee them the exercise of a profession. The time frame from 1942 to 1968 allowed us to verify the changes caused by the Organic Law of Industrial Education of 1942, and the Law number 3.552, from 1959, in the organizational structure of this school. In this context, a characteristic that was evident was the purpose of making it flow between the students the love for the country, the respect for civic values and the belief that industrial education would be able to boost the country's development, an aspect that reached a bigger dimension from the 1950 s. Marked the disciplinary character of this institution the control over the actions of individuals, developed through its multiple educational practices in specific areas and in the predetermined time, under the constant gaze of those who participated, in some from, in driving this process. On the other hand, the vocational and human training, provided to students, allowed new opportunities for social integration, not only in the state of Rio Grande do Norte, but also in other regions of Brazil. Conversely, during his career, the Escola Industrial de Natal has remained being seen as an organized institution, with good teachers, but intended for the children of others