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The data presented here is based on limited available data.
The melt loss data comparing pouring with siphoning is based largely on actual measurements.
Available data suggests metal loss from filling a holding furnace by siphoning can be less than 0.2%, i.e. a 75% reduction when compared with that typically lost during cascade pouring. [2] Automated Siphoning The Automated metal siphon works in a different way to a conventional siphon.
Furnace contents are estimated from the furnace tilt angle by a process computer, which automatically keeps the smelter updated via an electronic data link.
(Fig 6) Crucible transfer - heat loss through a siphon from ref. [2] and author's own cascade pouring data Furnace holding - typical heat energy consumption for two furnaces from ref. [4] (Fig 1) and. author's own data for single furnace with improved insulation (Fig 6) Ingot casting - typical ingot casting temperatures converted to heat loss (Fig 1) and author's estimate of 50% saving from heat recovered from cooling water Melt Losses: Crucible transport - melt loss at temperature data from ref [1,7], using typical surface areas for 60 min (Fig 1) and 30 min (Fig 6) Crucible transfer - melt loss through a siphon (Fig 1) and for cascade pouring (Fig 6) from ref. [2] Furnace holding - melt loss at temperature data from ref [1,7], using typical furnace surface areas for two furnaces (Fig 1) and one furnace (Fig 6) Ingot casting - oxide rate data from ref [5] converted to melt loss for typical (Fig 1) and improved ingot casting systems(Fig

Each simulation subsystem can be independently performed and the simulated results of one simulation system can be used as input data for the other system.
In the surface temperature simulation, air temperature and velocity are assumed to be uniformly distributed in the analyzed space at the un-selected time, and given from input weather data.
Simulations were performed using hourly weather data for a typical sunny summer day (August 5, 2000) in Tokyo.
The input weather data was prepared based on Expanded AMeDAS Weather Data provided by Architectural Institute of Japan.
Each simulation subsystem can be independently performed and the simulated results of one simulation system can be used as input data for the other system.

Permo-Carboniferous Sedimentary Facies Analysis in Northeast Jizhong Depression SisiCai1, a *,WenhuiHuang2, b,Meng Gong1, c, De-yu Yan1, d 1China University of Geosciences, Beijing 100083, China acaisis0504@qq.com, bhuang@cugb.edu.cn,c634649684@qq.com,dydy2311@163.com Key words: Deposition condition analysis; Permo-Carboniferous; Sequence stratigraphy; Jizhong depression; Abstract.This document studies the deposition condition in northeast Jizhong depression by using relevant data of cores, logging and scanning electron microscope.
Permo-Carboniferous coal-bearing seriesexperienced fault, fold and uplift by denudation, but there are still large areas of residualparaliccoal-bearing series, which in Tertiary suffered secondary hydrocarbon generation and accumulation and form a favorable place for exploration [3-5].Nowdaysthe northeast of Jizhongdepression is the main area forPermo-Carboniferous residual stratum, which is the majorgas province ofHuabei oilfield, including Wen’anslope of BaXian sag,HeXiWu area in Langgu sag, Wuqingsag, Litansag and Dacheng swell FaciesIdentification Through the analysis of more than 80 wells in the study area of Permo-Carboniferousformation log data, and core detailed observation of 18 wells with a total length of about 240 m, suggested that Permo-Carboniferous formation in this area has a total of 7 kinds of main facies.
On account of the lack of outcrop in this area, logging data analysisbecomes main criterionfor faciesidentification
In Benxi Formation and Taiyuan and Shanxi Formation of this area are mainly black mudstones, dark grey and grey mudstone, indicatingit should be a reduction environment.At the top of Shanxi Formationhas light grey and sage green mudstone, reflecting the oxidation - reduction environment.

By sampling the connecting rods produced under different levels of factors and combinations, and measurement of non-coaxiality, enough data is gathered.
Reduction of non-coaxiality of connecting rod has been defined as the main goal of the research.
In the measurement step, 100 samples taken and normality of this data tested using the Anderson - Darling method and the normality verified with respect to great calculated P-value.
By using 100 samples data, process standard deviation calculated and the number of required samples specified according to the process standard deviation and desired confidence level as follows: According to the calculated n, the number of samples increased to 155 samples and the current condition of process specified exactly: Process Sigma level=1.58 After finishing the measurement, based on the calculated , research definition completed more and renamed as “reduction of Non-coaxiality to 0.07 mm or less”.

Data analysis Data were analyzed by ANOVA or GLM procedures of SAS.
Data for soil populations were transformed as necessary for statistical analyses, but all data are reported as nontransformed values.
The recent price increase of methyl bromide products coincided with the scheduled reduction in production of methyl bromide.
As the scheduled reductions are activated and the cost of methyl bromide rises, the economics of using metham-sodium and dazomet will become attractive to growers.
McSorley: Proceedings of the Annual International Research Conference on Methyl Bromide Alternatives and Emissions Reductions (Orlando, FL, November, 1996). pp. 91-92

Therefore the PCA method is optimal for data reconstruction, but not for discriminant analysis.
They fail to discover the underlying structure, if the data live on or close to a sub-manifold of the ambient space.
This makes it difficult to reconstruct the data.
In Section 3, the dimensionality reduction method of DONPDA is presented.
Defining affinity matrix is as follows (1) Where represents the neighborhood relation between data sample and .

As it was shown in [7], the reduction temperature is a significant factor affecting the platinum particles size and the rise of the reduction temperature of CODPt (CH3)2 from 200 oC to 600 oC results in an increase of the particles size from 23Å to 36Å.
The volume distribution function, Dv(R)=N(R)V(R) (where N(R) is the number of Pt nanoparticles of the similar spherical shape with radius R and V(R) =4/3πR3 is the volume of the particles with radius R), was obtained from the analysis of the data of SAXS for Pt nanoparticles.
This result shows that the Pt cluster ensembles have a bimodal particle size distribution with two peaks: R1max=20 Å and R2max=40 Å; analysis of SAXS data showed no any evidence of particles agglomeration.
Firstly, the Pt/ γAl2O3 sample was cooled down to 80 K in zero magnetic field; the data of magnetization were taken at 3 kOe magnetic field under slow warming up to 400 K and followed cooling back to 80 K.
Accordingly to the data presented in Figure 3 the value of coercivity decreases with the increasing temperature from 130 Oe at 80 K to 80 Oe at 400 K.

However, this effect can be estimated on the basis of our experimental data using similar procedure to given in [11]
Knowing these data the effect of dissolved sulfur on the graphite eutectic growth coefficient can be estimated from Eq.(14).
Summing up, it can be concluded that the dissolved sulfur increase in the chilling tendency mainly through a reduction of the growth coefficient, µ and in lesser degree through a reduction of the nucleation coefficient, Ns.
(a) Intensivity effect of the dissolved sulfur (through, µ, b, Ns and ∆Tsc) on abslotue chilling tendency index, CT; (+) and (-) means that the chilling tendency increases and decreases respectively, (b) effect of the dissolved sulfur on the absolute chilling tendency and the wedge width of the chill, w lines - calculated, points - average experimental data of the wedge width of the chill, w Conclusions 1.
Dissolved sulfur increases the chilling tendency mainly through a reduction of the growth coefficient, µ and in lesser degree through a reduction of the density of substrates available for nucleation of graphite, Ns. 3.