The effects of sample composition on the results of spectral analysis of complex iron-based alloys by means of a combined chemico-spectral method

1974 ◽  
Vol 21 (4) ◽  
pp. 1283-1286
Author(s):  
Yu. M. Buravlev ◽  
N. I. Motrii ◽  
Z. N. Khorol'skaya
Keyword(s):  
Spectral Analysis ◽  
Spectral Method ◽  
Sample Composition ◽  
Iron Based

Isotopic Chromatographic Spectral Analysis of Inorganic Gases

1994 ◽  
Vol 48 (7) ◽  
pp. 884-890 ◽  
Author(s):  
Valery N. Funtov ◽  
Valeriy M. Nemets ◽  
Arcadiy A. Petrov ◽  
Anatoliy A. Soloviov
Keyword(s):  
Spectral Analysis ◽  
Total Content ◽  
High Sensitivity ◽  
Gas Analysis ◽  
Molecular Compound ◽  
Individual Element ◽  
Sample Composition ◽  
The Individual ◽  
Chromatographic Isolation ◽  
Reference Samples

The possibilities of the hyphenated isotopic chromatographic spectral method (ICSM) of inorganic gas analysis are considered. The technique allows detection of both the individual element and molecular admixtures. For evaluation of the total content of the element, isotope balancing and conversion of all components containing this element into a molecular compound more suitable for chromatographic isolation and spectroscopic detection are used. High sensitivity is achieved by preconcentration of admixtures with the simultaneous monitoring of possible distortions of the sample composition at all stages of analysis by means of the introduction of a rare stable isotope. The fields of application are the analysis of high-purity gases, evaluation of the total contents of individual elements, metrological tasks of apparatus calibration, and so on. The method does not need reference samples prepared from the analyzed gaseous matrices for the calibration itself.

scholarly journals ESTIMASI KETEBALAN SEDIMEN DENGAN ANALISIS POWER SPECTRAL PADA DATA ANOMALI GAYABERAT

GEOMATIKA ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 65 ◽  
Author(s):  
Mila Apriani ◽  
Admiral Musa Julius ◽  
Mahmud Yusuf ◽  
Damianus Tri Heryanto ◽  
Agus Marsono
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Gravity Anomaly ◽  
Spectral Method ◽  
Gravity Data ◽  
Sediment Thickness ◽  
Transform Method ◽  
Fourier Transform Method ◽  
Power Spectral ◽  
The Fourier Transform

<p align="center"><strong>ABSTRAK</strong></p><p> </p><p>Penelitian dengan analisis <em>power spectral</em> data anomali gayaberat telah banyak dilakukan untuk estimasi ketebalan sedimen. Dalam studi ini penulis melakukan analisis spektral data anomali gayaberat wilayah DKI Jakarta untuk mengetahui kedalaman sumber anomali yang bersesuaian dengan ketebalan sedimen. Data yang digunakan berupa data gayaberat dari BMKG tahun 2014 dengan 197 lokasi titik pengukuran yang tersebar di koordinat 6,08º-6,36º LU dan 106,68º-106,97º BT. Studi ini menggunakan metode <em>power spectral</em>  dengan mentransformasikan data dari domain jarak ke dalam domain bilangan gelombang memanfaatkan transformasi <em>Fourier</em>. Hasil penelitian dengan menggunakan metode transformasi <em>Fourier  </em>menunjukkan bahwa ketebalan sedimen di Jakarta dari arah selatan ke utara semakin besar, di sekitar Babakan ketebalan diperkirakan 92 meter, sekitar Tongkol, Jakarta Utara diperkirakan 331 meter.</p><p><strong> </strong></p><p><strong>Kata kunci</strong>: <em>power spectral</em>, anomali gayaberat, ketebalan sedimen</p><p align="center"><strong><em> </em></strong></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em> </em></p><p><em>Studies of spectral analysis of gravity anomaly data have been carried out to estimate the thickness of sediment. In this study the author did spectral analysis of gravity anomaly data of DKI Jakarta area to know the depth of anomaly source which corresponds to the thickness of sediment. The data used in the form of gravity data from BMKG 2014 with 197 locations of measurement points spread in coordinates 6.08º - 6.36º N and 106.68º - 106.97º E. This study used the power spectral method by transforming the data from the distance domain into the wavenumber domain utilizing the Fourier transform. The result of the research using Fourier transform method shows that the thickness of sediment in Jakarta from south to north is getting bigger, in Babakan the thickness of the sediment is around 92 meter, in Tongkol, North Jakarta is around 331 meter.</em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords</em></strong><em>: </em><em>power spectral, gravity anomaly, sediment thickness</em><em></em></p>

An Assessment of Linear Spectral Analysis Method for Offshore Structures via Random Sea Simulation

1982 ◽  
Vol 104 (1) ◽  
pp. 39-46 ◽  
Author(s):  
S. Kao
Keyword(s):  
Spectral Analysis ◽  
Spectral Method ◽  
Drag Force ◽  
Flexible Structures ◽  
Offshore Structures ◽  
Analysis Method ◽  
Corrective Measures ◽  
Spectral Analysis Method

With random sea simulation, application of linear spectral analysis method to offshore structures with moderate drag force has been assessed. Findings indicate overprediction of response for short natural periods and underprediction for very long periods. Tentative corrective measures are recommended. Significant force and response reductions have been calculated for flexible structures which are not adequately predicted by the linear spectral method.

scholarly journals Vanadium Influence on Iron Based Intermetallic Phases in AlSi6Cu4 Alloy

2014 ◽  
Vol 59 (3) ◽  
pp. 1029-1032 ◽  
Author(s):  
D. Bolibruchová ◽  
M. Žihalová
Keyword(s):  
Spectral Analysis ◽  
Chemical Composition ◽  
Iron Content ◽  
Microstructural Analysis ◽  
Intermetallic Phases ◽  
Porosity Formation ◽  
Intermetallic Particles ◽  
Negative Effect ◽  
Sharp Edges ◽  
Iron Based

Abstract Negative effect of iron in Al-Si alloys mostly refers with iron based intermetallic phases, especially Al5FeSi phases. These phases are present in platelet-like forms, which sharp edges are considered as main cracks initiators and also as contributors of porosity formation. In recent times, addition of some elements, for example Mn, Co, Cr, Ni, V, is used to reduce influence of iron. Influence of vanadium in aluminium AlSi6Cu4 alloy with intentionally increased iron content is presented in this article. Vanadium amount has been graduated and chemical composition of alloy has been analysed by spectral analysis. Vanadium influence on microstructural changes was evaluated by microstructural analysis and some of intermetallic particles were reviewed by EDX analysis.

Reproducibility of three different methods of measuring baroreflex sensitivity in normal subjects

1998 ◽  
Vol 95 (5) ◽  
pp. 575-581 ◽  
Author(s):  
S. W. LORD ◽  
R. H. CLAYTON ◽  
M. C. S. HALL ◽  
J. C. GRAY ◽  
A. MURRAY ◽  
...  
Keyword(s):  
Spectral Analysis ◽  
Spectral Method ◽  
Coefficient Of Variation ◽  
Baroreflex Sensitivity ◽  
Low Frequency ◽  
Frequency Component ◽  
Non Invasive ◽  
Invasive Method ◽  
Head Up Tilt ◽  
Invasive Measurement

1.Baroreflex sensitivity is a useful tool for investigating cardiovascular reflexes in a number of clinical settings. Several different methods of measuring baroreflex sensitivity are available. In order to determine a clinically useful non-invasive method of measuring baroreflex sensitivity we compared two methods (spectral analysis and the Valsalva manoeuvre) with regard to reproducibility, agreement with a standard invasive method (phenylephrine infusion) and failure rate. 2.Twenty-six healthy subjects aged 22 to 63 years attended on three separate occasions for measurement of baroreflex sensitivity using the different methods. The effect of a recent head-up tilt on baroreflex sensitivity was measured. 3.Reproducibility was best for the low-frequency component of the spectral method [coefficient of variation 25.0% (range 3.5–42.4%)] and worst for the Valsalva method [coefficient of variation 29.3% (range 13.8–93.1%)]. Both non-invasive methods overestimated values compared with the phenylephrine method [bias of low-frequency component of the spectral method, 1.17 (0.38–3.6); bias of the Valsalva method, 1.13 (0.19–6.7)]. The high-frequency component of the spectral method did not agree with the phenylephrine method. 4.The spectral analysis method had the fewest failures (seven subjects with a failure on at least one occasion), and the phenylephrine method the most (16 subjects with a failure on at least one occasion). A short head-up tilt did not affect the subsequent non-invasive measurement of baroreflex sensitivity. 5.It was concluded that the low-frequency component of the spectral method was the most clinically useful non-invasive measurement of baroreflex sensitivity.

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