Dynamic behaviour of dyeing machinery and computer simulation — some examples

A summary of two studies of different types of well-known dyeing machinery is presented. Logical analysis and experimental studies of fluid flow in wet textile processes give a clear understanding of machine operation. This fundamental information combined with present knowledge of dye-fibre chemistry then allows the operation and control to be simulated in ways not previously possible.     

The effect of laser chirping on lightwave system performance

Directly modulated semiconductor lasers exhibit a dynamic wavelength shift (chirping) arising from gain-induced variations of the laser refractive index. The effect of laser chirping on the performance of multi-Gb/s lightwave systems operating at a wavelength of 1550 nm is investigated. Models suitable for computer-aided analysis are used to describe the dynamic response of the laser and the propagation of chirped optical pulses through a step-index single-mode optical fibre. A truncated pulse train, Gauss quadrature rule method is used to evaluate the average bit error rate of the receiver. This permits pattern effects in the transmitted optical waveform due to the laser dynamics and nonlinear optical power transmission properties of optical fibers to be included in the system model. The influence that modulation and device parameters have on the receiver sensitivity is assessed     

Denoising Deep Monte Carlo Renderings

We present a novel algorithm to denoise deep Monte Carlo renderings, in which pixels contain multiple colour values, each for a different range of depths. Deep images are a more expressive representation of the scene than conventional flat images. However, since each depth bin receives only a fraction of the flat pixel's samples, denoising the bins is harder due to the less accurate mean and variance estimates. Furthermore, deep images lack a regular structure in depth—the number of depth bins and their depth ranges vary across pixels. This prevents a straightforward application of patch‐based distance metrics frequently used to improve the robustness of existing denoising filters. We address these constraints by combining a flat image‐space non‐local means filter operating on pixel colours with a deep cross‐bilateral filter operating on auxiliary features (albedo, normal, etc.). Our approach significantly reduces noise in deep images while preserving their structure. To our best knowledge, our algorithm is the first to enable efficient deep‐compositing workflows with denoised Monte Carlo renderings. We demonstrate the performance of our filter on a range of scenes highlighting the challenges and advantages of denoising deep images.     

Stress-strain characteristics of particulate material under the condition of no lateral strain

This paper deals with an application of generalized non-linear stress-strain relationships of an incremental nature for a particulate material in order to investigate the behaviour of a bed subjected to a loading cycle during which lateral strain is prevented. Initially, the limiting conditions in a bed of granular material are discussed, and a brief review presented of relevant work already carried out under the condition of no lateral strain. Both normally consolidated, and over-consolidated, beds are considered. The resulting calculations indicate that the stress history of the bed can have, depending on stress levels, a profound effect on behaviour during subsequent reloading. Both the state of stress and the stress-strain behaviour of the deposit are assessed. Finally, the results are shown to have an important application in a number of engineering problems, particularly where overconsolidated beds of material are under consideration.List of symbols K ₀ coefficient of earth pressure at rest. - K _r Rankine ratio=(1–sin)/(1+sin) - K ₁,K ₂,f ₁,f ₂,g constants found experimentally - p _h stress in any horizontal direction whenP _x =P _z =P _h - p _x. stress in co-ordinate directions - P _xi,P _yi,P _zi stress levels in co-ordinate directions at commencement of unloading/reloadcycle - r ₁,r ₂,r ₃ stress ratios=p _x (ultimate)/p _xi ,p _y (ultimate)/P _yi ,p _z (ultimate)/P _zi respectively - P _y , _y , etc a small increment of the quantity concerned - _x . strains in co-ordinate directions - angle of internal friction of soil     

Entrainment of air into liquids by a high speed continuous solid surface

The paper reports a wide range of experimental data on air entrainment velocities and apparent dynamic contact angles, were a continuous surface entersThe main dimensional correlation took the form:

for variables in the range:

However, due to the limited range of fluid densities used (0.785-1.26 * 10³kg.m³), a simpler correlation for air entrainment velocity was found

for the case of the entrainment of air by a plunging solid surface where 0.2 <(ηs/η9u)>< 3.2m.sec^-1 was found to be the corresponding rThe critical capillary number Ca_c was found to lie in the range 0.2 <Ca_c< 1.26 which agrees very well with a recent study due to GuThe investigation also showed that anomalous behaviour could occur with charged surfaces or surfaces with significant roughness. Surfactant type was al     

Mass-transfer Processes in Hank-dyeing Machines II—Operational and Design Implications of the Experimental Study

Meeting of the Midlands Region, held at the Carpet Trades Ltd Canteen, Kidderminster, on 13 February 1969, Mr D. O. Douglas in the chair Simulation of dyeing processes on an analogue computer, using techniques described in Part I of this paper (p. 187), has been employed to establish the minimum flow requirements for practical machines using dyes differing in dyeing behaviour. A limiting rate of flow requires to be achieved to eliminate differences in colour between hanks in practical machines. The failure to meet this condition is responsible for much of the problem of achieving level dyeings.     

Soil Based Vegetation Productivity Model for the North Dakota Coal Mining Region

In our study, we addressed the development of an agricultural productivity equation within a landscape context for the North Dakota coal fields in Oliver, Mercer, and Dunn counties. The procedure employed principal component analysis to develop a combined vegetation yield variable from spring wheat (Triticum aestivum L.), barley (Hordeum vulgare L), oat (Avena sativa L.), grass/legume, Eastern red cedar (Juniperus virginiana L.), ponderosa pine (Pinus ponderosa var. scopulorum Engelm.), green ash (Fraxinus pennsylvanica Marsh.), Siberian peashrub (Caragana arborescens Lam.), American plum (Prunus americana Marsh.), and common chokecherry (Prunus virginiana L.). The best equation we developed to predict plant growth in the surface mining portion of the study area contained an R 2 = 0.66 and an overall p-value of 0.0001. The regression coefficients were stable under bootstrap and jackknife evaluation procedures and worked relatively well with a subsampling procedure. The equation correlated (0.7301) with reclaimed soil field trials.     

Molecular aspects of the synthesis and deposition of hens' egg yolk with special reference to low density lipoprotein

Avian egg yolk contains three main macromolecular constituents: 1) the yolk granules; insoluble particles consisting largely of lipovitellin and phosvitin. They are synthesized in response to hormones in the liver as a precursor protein, vitellogenin, which is soluble in blood. It passes through the oolemma by receptor-mediated endocytosis and is split up enzymically to give fragments that precipitate as granules in the yolk. 2) The livetins; essentially blood serum proteins. The mechanism for their transfer to yolk is not clear. 3) The yolk low density lipoprotein; the major part of yolk (60% of the dry weight). It is synthesized and assembled in the liver as a modified blood very low density lipoprotein, whose main apoprotein is apo B. As with vitellogenin, it enters yolk by endocytosis. Furthermore it is split enzymically to give most of the yolk-lipoprotein apoproteins (apovitellenins III to VI). New evidence for the relationship between yolk apoproteins and apo B has been derived from a comparison of the N-terminal amino acid sequences of apovitellenin IV and apo B.     

Structure-function studies on positions 17, 18, and 21 replacement analogues of glucagon: the importance of charged residues and salt bridges in glucagon biological activity

We have designed and synthesized eight compounds 2-9 which incorporate various amino acid residues in positions 17, 18, and 21 of the glucagon molecule: 2, [Lys17]glucagon amide; 3, [Lys18]glucagon amide; 4, [Nle17,Lys18,Glu21]glucagon amide; 5, [Orn17,18, Glu21]glucagon amide; 6, [d-Arg17]glucagon; 7, [d-Arg18]glucagon; 8, [d-Phe17]glucagon; and 9, [d-Phe18]glucagon. Compared to glucagon (IC50 = 1.5 nM), analogues 2-9 were found to have binding affinity IC50 values (in nM) of 0.7, 4.1, 1.0, 2.0, 5.0, 25.0, 43.0, and 32.0, respectively. When these compounds were tested for their ability to stimulate adenylate cyclase (AC) activity, they were found to be full or partial agonists having maximum stimulation values of 100, 100, 100, 100, 87, 78, 94, and 100%, respectively. On the basis of the X-ray crystal structure of [Lys17,18,Glu21]glucagon amide reported here, the ability to form a salt bridge between Lys18 and Glu21 is probably key to their increased binding and second messenger activities. Among the eight analogues synthesized here, only analogue 4 preserves the ability to form a salt bridge between Lys18 and Glu21. However, since these modifications are minor they do not seem to change the amphiphilic character of the C-terminus, allowing these analogues to reach 78-100% stimulation in the adenylate cyclase assay. Biological data from analogues 6-9 supports the idea that position 18 of glucagon may influence binding only, while position 17 may influence both receptor recognition and transduction.     

Vector representation and analysis of areally distributed variables

When areally distributed variables are represented by vectors relative to a single reference point location, resultant vectors (distribution vectors) can be used to measure the geographic distribution of the variables simultaneously taking into account (1) thevalues of the variables, (2) thedirection, relative to the reference location, of the points at which the values are located, and (3) thedistances between the reference point and the data points. The distribution vector method provides measures of weighted mean location (distribution mean location) and dispersion (standard distance) that reflect the value direction, and distance of variables relative to the reference location. The distribution vector method has versatile applicability to problems involving areally distributed variables and can be used with other quantitative methods. An illustrative application of the distribution vector method with a statistical spatial interaction model of airline passenger traffic from St. Louis to 27 selected SMSAs for each year from 1960 through 1965 is included.I wish to thank my colleagues Prem S. Laumas and Eldon Reiling as well as Gerhard Tintner, Laurence Jay Mauer and Stanley Johnson, for their comments and suggestions on an earlier version of this paper.