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    Wyświetlanie 1-3 z 3
    Tytuł:
    Lipid production and heavy metals adsorption by an Aspergillus fumigatus GAH1 isolate
    Autorzy:
    Haddad, A.M.
    El-Shall, H.S.
    Abu-Elreesh, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/2096970.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    lipids
    biodiesel
    fungi
    Aspergillus
    bioremediation
    heavy metals
    Opis:
    Few species of filamentous fungi can accumulate considerable amounts of intracellular lipids when grown under certain stress conditions; thus, they can be used for biodiesel production. Moreover, their residual biomass can be used for the removal of heavy metals from contaminated water. An oleaginous Aspergillus fumigatus GAH1 isolate was isolated from a soil sample in Borg El-Arab industrial area, Alexandria, Egypt, and was characterized in batch cultures. The influence of different carbon and nitrogen sources and the initial pH of the medium on the fungal biomass and lipid production was investigated. Under optimized conditions, the A. fumigatus GAH1 isolate could accumulate up to 22.4% of its dry biomass as lipids. Oleic and palmitic acids were the dominant fatty acid fractions produced. After lipid extraction, to further improve the process economy, the fungal biomass was applied as a biosorbent to remove heavy metals such as Cr, Cd, and Zn from contaminated wastewater. The biosorption efficiency and capacity of the raw, H2O-washed, and NaOH-treated fungal biomass were examined. The biosorption capacity of 33.37, 29.29, and 27.75 mg/g was recorded for Cr, Cd, and Zn, respectively. Moreover, the biosorption efficiency was more than 69% for the tested heavy metals. In conclusion, A. fumigatus GAH1 may be considered as a promising biodiesel producer, and its biomass waste can be further used for the biosorption of heavy metals from contaminated wastewater.
    Źródło:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2020, 101, 1; 15-24
    0860-7796
    Pojawia się w:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modeling and optimization of cutting parameters when turning EN-AW-1350 aluminum alloy
    Autorzy:
    Khrouf, F.
    Tebassi, H.
    Yallese, M. A.
    Chaoui, K.
    Haddad, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/2174201.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    sztuczna sieć neuronowa
    optymalizacja
    ANOVA
    artificial neural networks
    chip shape
    optimization
    response surface methodology
    Opis:
    An experimental investigation is carried out to examine the effects of various cutting parameters on the response criteria when turning EN-AW-1350 aluminum alloy under dry cutting conditions. The experiments related to the analysis of the influence of turning parameters on the surface roughness (Ra) and material removal rate (MRR) were carried out according to the Taguchi L27 orthogonal array (313) approach. The analysis of variance (ANOVA) was applied to characterizing the main elements affecting response parameters. Finally, the desirability function (DP) was applied for a bi-objective optimization of the machining parameters with the objective of achieving a better surface finish (Ra) and a higher productivity (MRR). The results showed that the cutting speed is the most dominant factor affecting Ra followed by the feed rate and the depth of cut. Moreover, the Artificial Neural Network (ANN) approach is found to be more reliable and accurate than its Response Surface methodology (RSM) counterpart in terms of predicting and detecting the non-linearity of the surface roughness and material removal rate mathematical models. ANN provided prediction models with a precision benefit of 8.21% more than those determined by RSM. The latter is easier to use, and provides more information than ANN in terms of the impacts and contributions of the model terms.
    Źródło:
    International Journal of Applied Mechanics and Engineering; 2022, 27, 2; 124--142
    1734-4492
    2353-9003
    Pojawia się w:
    International Journal of Applied Mechanics and Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Railway industry roadmap in the state of Santa Catarina, Brazil
    Roadmap para a indústria ferroviário do estado de Santa Catarina, Brasil
    Autorzy:
    Dias, A.
    Da Silva, J. C.
    Kagueiama, H. H.
    Haddad, C. R.
    Uriona, M. M.
    Lezana, Á. G. R.
    Juliatto, D. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/374823.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    technology
    roadmapping
    rail industry
    technologia
    mapa drogowa
    przemysł kolejowy
    branża kolejowa
    Opis:
    This article aims to identify the main requirements to strengthen the railroad industry in Santa Catarina by using technology roadmapping. The railway industry is composed of carriers, manufacturers, suppliers, operators, logistics, services and education. The survey aimed to provide guidelines for the Federation of the State of Santa Catarina Industry (FIESC) to develop its strategic plan for the next eight years. Based on the survey, the roadmap defined vision, mission, a list of key concepts, drivers and actions for the Federation to support the railway industry development, since this industrial sector is still economically unrepresented when compared to other sectors in Santa Catarina. The survey also pointed out there is a strong expansion program of the railway freight and railway transport for people in Brazil, both in government and private sectors.
    Este artigo objetiva identificar os principais requisitos para fortalecer a indústria ferroviária em Santa Catarina (SC), por meio da aplicação do processo de technology roadmapping. A indústria ferroviária é composta por transportadores, fabricantes, fornecedores, operadores de logística, serviços e educação. A pesquisa objetivou fornecer orientações para a Federação das Indústrias de Santa Catarina (FIESC) com a finalidade de desenvolver um plano estratégico para os próximos oito anos. Baseando-se na pesquisa, definiram-se a visão, missão e uma lista de conceitos chaves, drivers e ações para que a FIESC apoiasse o desenvolvimento da indústria ferroviária, uma vez que esta é economicamente pouco representativa em comparação com outras indústrias no estado de SC. A pesquisa apontou que há forte expansão do transporte de cargas e pessoas no Brasil, tanto nos setores governamentais quanto nos setores privados.
    Źródło:
    Transport Problems; 2015, T. 10, z. spec.; 29-36
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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