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Defects variables

Bogousslavsky et al. 1988). Posterior choroidal artery infarcts result in visual field defects, variable sensory loss, hemiparesis, dystonia, hand tremor and occasionally amnesia and aphasia. Visual field defects, commonly quadrantanopia or hemianopia, are found if the lateral posterior choroidal arteries branches are involved in isolation. Unusual field defects such as homonymous horizontal sec-toranopia or wedge shaped homonymous hemianopia, may also be found and may be explained by the dual blood supply to the lateral geniculate body by... [Pg.213]

Four volumetric defects are also included a spherical cavity, a sphere of a different material, a spheroidal cavity and a cylinderical cavity (a side-drilled hole). Except for the spheroid, the scattering problems are solved exactly by separation-of-variables. The spheroid (a cigar- or oblate-shaped defect) is solved by the null field approach and this limits the radio between the two axes to be smaller than five. [Pg.158]

The proposed measurement system consist of measuring impedance variations, resistance and inductance, using a coil surrounding a cylindrical hallow sample, in with standard defects were created homy a variable length and width... [Pg.354]

The aim of the work we present in this paper is to optimize the control parameters used in particles magnetic and interpret the obtained results. Experiments are performed on samples of welds or materials containing known defects. The realized and tested defects are grooves situated at different depths with variables dimensions. Other types of defects have been studied (inclusions, lack of penetration, etc.). [Pg.635]

The different techniques of NDT were applied to evaluate the method allowing to give an optimal spectrum so that the interpretation can be done easily. In addition, and for the purpose of the defects quantification, we have done an optimization on the magnetic powders, colored and fluorescent, by applying magnetic powders of variable dimensions. This will enable us to estimate defects with a high precision. [Pg.637]

Semiconducting Ceramics. Most oxide semiconductors are either doped to create extrinsic defects or annealed under conditions in which they become non stoichiometric. Although the resulting defects have been carefully studied in many oxides, the precise nature of the conduction is not well understood. Mobihty values associated with the various charge transport mechanisms are often low and difficult to measure. In consequence, reported conductivities are often at variance because the effects of variable impurities and past thermal history may overwhelm the dopant effects. [Pg.357]

Nature In some types of engineering and management-science problems, we may be concerned with a random variable which represents a proportion, for example, the proportional number of defective items per day. The method described previously relates to a single proportion. In this subsection two proportions will be considered. [Pg.499]

For some uses, the anisotropy of timber and its variability due to knots and other defects are particularly undesirable. Greater uniformity is possible by converting the timber into board such as laminated plywood, chipboard and fibre-building board. [Pg.285]

Equation (5-11) cannot be explained by Eq. (5-14) because 7 and p are variables related to the soil and furthermore the average defect diameter, d, is not constant. [Pg.161]

This equation also includes, as in Eq. (5-14), variables related to the soil, but no data on the defects. A theoretical basis for Eq. (5-11) is also not possible. Equa-... [Pg.161]

Improperly set tolerances and uncontrolled variation are one of the greatest causes of defects, scrap, rework, warranty returns, increased product development cycle time, work flow disruption and the need for inspection (Gerth and Hancock, 1995). If manufacturing processes did not exhibit variation, quality problems would not arise, therefore reducing the effects of variability at the design stage, in a cost-effective way, improves product quality (Bergman, 1992 Kehoe, 1996). [Pg.4]

The processing of components that are on the limits of technical feasibility is likely to result in out of tolerance variation. High forces and flow restriction in metalworking and metal cutting processes can lead to instability. Also, material flow in casting processes, where abnormal sections and complex geometries are present, can lead to variability problems and defects. [Pg.45]

The inherent limitations of attribute data prevent their use for preliminary statistical studies since specification values are not measured. Attribute data have only two values (conforming/nonconforming, pass/fail, go/no-go, present/absent) but they can be counted, analyzed, and the results plotted to show variation. Measurement can be based on the fraction defective, such as parts per million (PPM). While variables data follows a distribution curve, attribute data varies in steps since you can t count a fraction. There will either be zero errors or a finite number of errors. [Pg.368]

With attribute data the product either has or has not the ascribed attribute - it can therefore either pass or fail the test. There are no gray areas. Attributes are measured on a go or no-go basis. With variables, the product can be evaluated on a scale of measurement. However, with inspection by attributes we sometimes use an acceptable quality level (AQL) that allows us to ship a certain percent defective in a large batch of product -... [Pg.378]

Consider, for e.xample, a box of 100 transistors containing five defectives. Suppose tliat a transistor selected at random is to be classified as defective or non-defective. Let X denote die outcome, widi X = 0 associated with die drawing of a non-defective and X = 1 associated with die drawing of a defective. Then X is a discrete random variable with pdf specified by... [Pg.553]

Where f(x) is tlie probability of x successes in n performances. One can show that the expected value of the random variable X is np and its variance is npq. As a simple example of tlie binomial distribution, consider tlie probability distribution of tlie number of defectives in a sample of 5 items drawn with replacement from a lot of 1000 items, 50 of which are defective. Associate success with drawing a defective item from tlie lot. Tlien the result of each drawing can be classified success (defective item) or failure (non-defective item). The sample of items is drawn witli replacement (i.e., each item in tlie sample is relumed before tlie next is drawn from tlie lot tlierefore the probability of success remains constant at 0.05. Substituting in Eq. (20.5.2) tlie values n = 5, p = 0.05, and q = 0.95 yields... [Pg.580]

In another study [31] it has been reported that haze of LLDPE is mainly a consequence of light scattered by the spherulites. Thus, origin of poor clarity is not the same in LLDPE as in HP LDPE. In HP LDPE the haze is produced by surface defects coming from processing rheology [48,54,55]. Processing variables, therefore, do not have the same effect on LLDPE as they do on HP LDPE. [Pg.287]

Sinee there are six unknowns and three equations, there are three independent variables. We ean associate these with any three elementary independent modes of point defect formation which conserve the numbers of atoms. These are like basis vectors for representing arbitrary point defect concentrations. Let us define them as follows ... [Pg.341]

Infant mortality results in repaired units failing shortly after their return to service. It can be corrected by simplifying repair techniques, quality control of repairs and repair parts, improved starting techniques, etc. Units which have persistent abnormally short lives may have an inherent defect which cannot be corrected by the previous methods. However, the usual characteristic of infant mortality is its variability. Very good pumps of last year become the very bad ones this year and vice versa. Any pump is a potential bad actor. [Pg.1054]

The values of i calculated from (8) and (8) do not agree very closely, and it would appear, as Weinstein (loc. cit. 1068) remarks, that Although the calculations undoubtedly establish the legitimacy of the system of equations, the great uncertainty in the numerical determination of the decisive magnitudes forms a practical defect which will only be removed by observations over very wide intervals of the variables. Any discrepancy between the results of actual observations of equilibria, and those calculated by means of Nernst s chemical constants, need not, in the present state of uncertainty of the latter, cause any great alarm. Nernst himself apparently regards the constant < >, obtained from vapour-pressure measurements, as the most certain, and the others as more or less tentative. [Pg.497]


See other pages where Defects variables is mentioned: [Pg.361]    [Pg.357]    [Pg.642]    [Pg.524]    [Pg.563]    [Pg.354]    [Pg.303]    [Pg.206]    [Pg.313]    [Pg.63]    [Pg.414]    [Pg.421]    [Pg.14]    [Pg.122]    [Pg.169]    [Pg.664]    [Pg.552]    [Pg.386]    [Pg.387]    [Pg.591]    [Pg.1246]    [Pg.123]    [Pg.1312]    [Pg.103]    [Pg.641]    [Pg.82]    [Pg.289]    [Pg.300]    [Pg.316]    [Pg.276]   
See also in sourсe #XX -- [ Pg.62 ]




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