1,063 research outputs found
Métodos para determinar taninos em sorgo, avaliando-se o desempenho de aves e a digestibilidade in vitro da matéria seca.
Com o objetivo de comparar metodos para determinar a presenca de taninos em sorgo (Sorghum bicolor (L.) Moench), foi conduzido um experimento com aves e realizada a analise da digestibilidade "in vitro" da materia seca. Foram avaliados os metodos Azul da Prussia, Vanilina/HCI e Proantocianidina, e na preparacao das racoes, foram utilizados dez diferentes hibridos de sorgo e uma variedade de milho. A presenca de compostos fenolicos determinada pelo metodo Azul da Prussia apresentou maior correlacao com o ganho de peso das aves e a digestibilidade "in vitro" da materia seca
Evaluation of part consistency with photopolymer inserts in different injection moulding process parameters
Characterisation of demoulding parameters in micro-injection moulding
YesCondition monitoring of micro injection moulding is an effective way of understanding the processing effects of variable parameter settings. This paper reports an experimental study that investigates the characteristics of the demoulding behaviour in micro injection moulding (A mu-IM) with a focus on the process factors that affect parts' quality. Using a Cyclic Olefin Copolyme (COC) microfluidics demonstrator, the demoulding performance was studied as a function of four process parameters (melt temperature, mould temperature, holding pressure and injection speed), employing the design of experiment approach. The results provide empirical evidences on the effect that processing parameters have on demoulding conditions in A mu-IM, and identifies combinations of parameters that can be used to achieve the optimal processing conditions in regards to demoulding behaviour of micro parts. It was concluded that there was a direct correlation between the applied pressure during part filling, holding phases and the demoulding characteristic factors of the A mu-IM cycle such as ejection force, integral and time
Test results of the front-end system for the Silicon Drift Detectors of ALICE
The front-end system of the Silicon Drift Detectors (SDDs) of the ALICE experiment is made of two ASICs. The first chip performs the preamplification, temporary analogue storage and analogue-to-digital conversion of the detector signals. The second chip is a digital buffer that allows for a significant reduction of the connection from the front-end module to the outside world. In this paper, the results achieved on the first complete prototype of the front-end system for the SDDs of ALICE are presented
Assessment of sub-mm features replication capability in injection moulding using a multi-cavity tool produced by additive manufacturing
Beam test results of the irradiated Silicon Drift Detector for ALICE
The Silicon Drift Detectors will equip two of the six cylindrical layers of
high precision position sensitive detectors in the ITS of the ALICE experiment
at LHC. In this paper we report the beam test results of a SDD irradiated with
1 GeV electrons. The aim of this test was to verify the radiation tolerance of
the device under an electron fluence equivalent to twice particle fluence
expected during 10 years of ALICE operation.Comment: 6 pages,6 figures, to appear in the proceedings of International
Workshop In high Multiplicity Environments (TIME'05), 3-7 October 2005,
Zurich,Switzerlan
Evaluation of an improved micro milling strategy for the generation of tool steel micro features with optical functionality
On the muon neutrino mass
During the runs of the PS 179 experiment at LEAR of CERN, we photographed an
event of antiproton-Ne absorption, with a complete pi+ -> mu+ ->e+ chain. From
the vertex of the reaction a very slow energy pi+ was emitted. The pi+ decays
into a mu+ and subsequently the mu+ decays into a positron. At the first decay
vertex a muon neutrino was emitted and at the second decay vertex an electron
neutrino and a muon antineutrino. Measuring the pion and muon tracks and
applying the momentum and energy conservation and using a classical statistical
interval estimator, we obtained an experimental upper limit for the muon
neutrino mass: m_nu < 2.2 MeV at a 90% confidence level. A statistical analysis
has been performed of the factors contributing to the square value of the
neutrino mass limit.Comment: 18 pages, 5 eps figure
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