Utilização de resíduo de mármore e de óxido de boro em escórias sintéticas dessulfurantes para aços.

O mercado atual exige das indústrias siderúrgicas aços de melhor qualidade produzidos por meio de processos que causem menor impacto ao meio ambiente. Dessa forma, este trabalho teve como objetivo reciclar o resíduo de mármore gerado na indústria de rochas ornamentais, que possui em sua composição óxido de cálcio (CaO) e óxido de magnésio (MgO). O CaO é suficiente para substituir a cal nas escórias e o MgO contribui para a diminuição do desgaste dos refratários, através do emprego do resíduo no processo produtivo do aço. Além disso, foi realizada a substituição da fluorita por óxido de boro como fluxante na composição de misturas dessulfurantes. O resíduo de mármore foi caracterizado utilizando as seguintes técnicas: análise química via EDXFR, análise granulométrica via espalhamento de luz, área de superfície específica pelo método BET, difração de raios-X, microscopia eletrônica de varredura (MEV) e análise de micro-regiões por EDS. Visando verificar a eficiência na dessulfuração, foram formuladas misturas sintéticas utilizando a cal convencional ou resíduo de mármore, e a fluorita ou o óxido de boro. As misturas foram formuladas com o auxílio dos programas de termodinâmica computacional, Thermo-Calc e FactSage. Estas misturas foram adicionadas no aço fundido a temperatura de 1600°C sob atmosfera de argônio e agitadas por meio de um rotor de alumina. Amostras de metal foram retiradas para verificar a variação do teor de enxofre durante o experimento. O resíduo de mármore caracterizado, apresentou em sua composição 40% de CaO e 14% de MgO, na forma dos carbonatos CaCO3 e MgCO3. Obteve uma perda de massa de 42,1%, na forma de CO2 a temperatura de 780°C. Os experimentos mostraram que, as misturas testadas apresentaram, na maioria dos casos, eficiência de dessulfuração acima de 60%.

Intelligent Decision-Making System Frameworks for a Digital Plan of Work: A Theoretical Investigation for the Construction Industry

The construction industry is characterised by fragmentation and suffers from lack of collaboration, often adopting adversarial working practices to achieve deliverables. For the UK Government and construction industry, BIM is a game changer aiming to rectify this fragmentation and promote collaboration. However it has become clear that there is an essential need to have better controls and definitions of both data deliverables and data classification. Traditional methods and techniques for collating and inputting data have shown to be time consuming and provide little to improve or add value to the overall task of improving deliverables. Hence arose the need in the industry to develop a Digital Plan of Work (DPoW) toolkit that would aid the decision making process, providing the required control over the project workflows and data deliverables, and enabling better collaboration through transparency of need and delivery. The specification for the existing Digital Plan of Work (DPoW) was to be, an industry standard method of describing geometric, requirements and data deliveries at key stages of the project cycle, with the addition of a structured and standardised information classification system. However surveys and interviews conducted within this research indicate that the current DPoW resembles a digitised version of the pre-existing plans of work and does not push towards the data enriched decision-making abilities that advancements in technology now offer. A Digital Framework is not simply the digitisation of current or historic standard methods and procedures, it is a new intelligent driven digital system that uses new tools, processes, procedures and work flows to eradicate waste and increase efficiency. In addition to reporting on conducted surveys above, this research paper will present a theoretical investigation into usage of Intelligent Decision Support Systems within a digital plan of work framework. Furthermore this paper will present findings on the suitability to utilise advancements in intelligent decision-making system frameworks and Artificial Intelligence for a UK BIM Framework. This should form the foundations of decision-making for projects implemented at BIM level 2. The gap identified in this paper is that the current digital toolkit does not incorporate the intelligent characteristics available in other industries through advancements in technology and collation of vast amounts of data that a digital plan of work framework could have access to and begin to develop, learn and adapt for decision-making through the live interaction of project stakeholders.

Evaluation of semi-passive treatment technologies for septic lagoon capacity expansion

In Canada, increases in rural development has led to a growing need to effectively manage the resulting municipal and city sewage without the addition of significant cost- and energy- expending infrastructure. Storring Septic Service Limited is a family-owned, licensed wastewater treatment facility located in eastern Ontario. It makes use of a passive waste stabilization pond system to treat and dispose of waste and wastewater in an environmentally responsible manner. Storring Septic, like many other similar small-scale wastewater treatment facilities across Canada, has the potential to act as a sustainable eco-engineered facility that municipalities and service providers could utilize to manage and dispose of their wastewater. However, it is of concern that the substantial inclusion of third party material could be detrimental to the stability and robustness of the pond system. In order to augment the capacity of the current facility, and ensure it remains a self-sustaining system with the capacity to safely accept septage from other sewage haulers, it was hypothesized that pond effluent treatment could be further enhanced through the incorporation of one of three different technology solutions, which would allow the reduction of wastewater quality parameters below existing regulatory effluent discharge limits put in place by Ontario’s Ministry of the Environment and Climate Change (MOECC). Two of these solutions make use of biofilm technologies in order to enhance the removal of wastewater parameters of interest, and the third utilizes the natural water filtration capabilities of zebra mussels. Pilot-scale testing investigated the effects of each of these technologies on treatment performance under both cold and warm weather operation. This research aimed to understand the important mechanisms behind biological filtration methods in order to choose and optimize the best treatment strategy for full-scale testing and implementation. In doing so, a recommendation matrix was elaborated provided with the potential to be used as a universal operational strategy for wastewater treatment facilities located in environments of similar climate and ecology.

The Superfund Innovative Technology Evaluation Program : spring update to the technology profiles fourth edition.

Mode of access: Internet.

Bioremediation in the Field Search System (BFSS) : user documentation.

"August 1994."

Bioremediation in the Field Search System (BFSS) : user documentation.

"August 1995."

Environmental emergencies : what to do.

Mode of access: Internet.

The Fabrication of polyethylene FML field seams /

"September 1989."

Recycling.

Another Report number is EPA 530-SW-601, per NSCEP's publication title list.

Office paper recovery : an implementation manual.

Mode of access: Internet.

Residential paper recovery : a community action program.

Information incorrect in publication as to for sale by the Supt. of Docs.

Solving the abandoned car problem in small communities /

Mode of access: Internet.

Public hearing on proposed landfill disposal guidelines : May 15, 1979, Washington, D.C., transcript.

Sponsored by EPA, Office of Solid Waste.

Closing open dumps /

Includes bibliographical references.

Recycling : assessment & prospects for success /

"Presented by Mr. Darnay, in March 1972, to a seminar sponsored by the Urban Drainage and Flood Control District and the Denver Regional Council of Governments, Denver, Colorado": p. 14.