Análise estatística do comportamento mecânico à compressão do compósito cimento-madeira

Este trabalho objetiva contribuir para a aplicação do resíduo do tecido lenhoso de espécies vegetais tropicais, na forma de serragem, proveniente da indústria madeireira do estado do Pará, da região metropolitana de Belém em particular, para a fabricação de compósito madeira-cimento. Devido à natural incompatibilidade química entre a madeira e o cimento, este procedimento resulta em um retardamento de pega, de intensidade dependente da espécie vegetal utilizada. Este efeito pode ser combatido com diversos processos, como por exemplo, a aditivação da mistura com aceleradores de pega, a mineralização da madeira, a carbonatação acelerada, dentre outros. As análises foram feitas a partir da resistência à compressão aos 28 dias para argamassas produzidas com teores de madeira de 2, 3,5 e 5% em massa, com cimento CP I e CP II, e ainda com e sem o uso de aditivo acelerador de pega a base de cloreto de cálcio. Assim sendo, os resultados obtidos foram analisados estatisticamente para que a influência do teor de madeira e da aditivação à base de cloreto de cálcio na resistência à compressão fosse avaliada. A maioria dos trabalhos existentes utiliza espécies de clima temperado, e de reflorestamento, pouco tendo sido avaliado para espécies de clima tropical. Neste sentido, o presente trabalho representa um esforço pioneiro no desenvolvimento de compósitos madeira-cimento para os materiais e resíduos disponíveis na região Amazônica.

Artificial neural networks applied to bandsawing process control

In the search for productivity increase, industry has invested on the development of intelligent, flexible and self-adjusting method, capable of controlling processes through the assistance of autonomous systems, independently whether they are hardware or software. Notwithstanding, simulating conventional computational techniques is rather challenging, regarding the complexity and non-linearity of the production systems. Compared to traditional models, the approach with Artificial Neural Networks (ANN) performs well as noise suppression and treatment of non-linear data. Therefore, the challenges in the wood industry justify the use of ANN as a tool for process improvement and, consequently, add value to the final product. Furthermore, Artificial Intelligence techniques such as Neuro-Fuzzy Networks (NFNs) have proven effective, since NFNs combine the ability to learn from previous examples and generalize the acquired information from the ANNs with the capacity of Fuzzy Logic to transform linguistic variables in rules.

Análise da eficiência energética em indústrias madeireiras através da lógica fuzzy

This paper presents the application of fuzzy theory to support the decision of implementing energy efficiency program in sawmills operating in the processing of Pinustaeda and Pinuselliotii. The justification of using a system based on fuzzy theory for analysis of consumption and the specific factors involved, such is the diversity of rates / factors. With the fuzzy theory, we can build a reliable system for verifying actual energy efficiency. The indices and factors characteristic of industrial activity were measured and used as the basis for the fuzzy system. We developed a management system and technology. The system involves the management practices in energy efficiency, maintenance of plant and equipment and the presence of qualified staff. The technological system involves the power factor, load factor, the factor of demand and the specific consumption. The first response provides the possibility of increased energy efficiency and the second level of energy efficiency in the industry studied. With this tool, programs can be developed for energy conservation and energy efficiency in the industrial timber with wide application in this area that is as diverse as production processes. The same systems developed can be used in other industrial activities, provided they are used indices and characteristic features of the sectors involved.

Comportamento do fator de potência de uma serra de fita vertical e de um picador em uma serraria

This work aims to present the electrical behavior of two mechanical processing equipment of wood, the saw vertical tape and the wood chipper. Their characteristics in real operating conditions and the electrical behavior of devices in terms of energy efficiency is shown through the study of individual power factor are presented in this study. It was observed that both devices operate unloaded for some intervals of time and this contributes to a low power factor. It is concluded that improved production planning and better preparation of the operators in the operations of sawing wood, in order to improve the power factor in sawmills is necessary.

Avaliação de desempenho no processo de lixamento de madeiras das espécies Pinus elliottii e Corymbia citriodora

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Shaping competitiveness in the Chilean wood-processing industry

Includes bibliography

In the matter of: public hearing before Special Industry Committee no. 41-D for the lumber and wood products industry in Puerto Rico. September 23, 1958 ... San Juan, Puerto Rico. Reporters: Genevieve Biolsi [and] John F. Hrozencik.

Maynard E. Pirsig, chairman.

The market for wood pallets in the auto industry : a case study of Ford Motor Company /

Cover title.

A Competitive assessment of the U.S. solid wood products industry /

Item 231-B-1

The Amalgamated Wood Workers' International Union of America; a historical study of trade unionism in its relation to the development of an industry,

Bibliography: p. 204-211.

California tanbark oak. Part I. Tanbark oak and the tanning industry. By Willis Linn Jepson. Part II. Utilization of the wood of the tanbark oak. By H.S. Betts. Appendix. Distribution of tannin in tanbark oak. By C.D. Mell.

Mode of access: Internet.

Study on synthetic and bio-based phenol-formaldehyde adhesives for the wood-based industry

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Characterization of wood biochar and evaluation of its adsorption potential for removal of sulphate from produced water in offshore oil and gas industry

This thesis analyses the potential of wood biochar as an adsorbent in removal of sulphate from produced water. In worldwide offshore oil and gas industry, a large volume of waste water is generated as produced water. Sulphur compounds present in these produced water streams can cause environmental problems, regulatory problems and operational issues. Among the various sulphur removal technologies, the adsorption technique is considered as a suitable method since the design is simple, compact, economical and robust. Biochar has been studied as an adsorbent for removal of contaminants from water in a number of studies due to its low cost, potential availability, and adsorptive characteristics. In this study, biochar produced through fast pyrolysis of bark, hardwood sawdust, and softwood sawdust were characterized through a series of tests and were analysed for adsorbent properties. Treating produced water using biochar sourced from wood waste is a two-fold solution to environmental problems as it reduces the volume of these wastes. Batch adsorption tests were carried out to obtain adsorption capacities of each biochar sample using sodium sulphate solutions. The highest sulphur adsorption capacities obtained for hardwood char, softwood char and bark char were 11.81 mg/g, 9.44 mg/g, and 7.94 mg/g respectively at 10 °C and pH=4. The adsorption process followed the second order kinetic model and the Freundlich isotherm model. Adsorption reaction was thermodynamically favourable and exothermic. The overall analysis concludes that the wood biochar is a feasible, economical, and environmental adsorbent for removal of sulphate from produced water.