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Stamping Parameters

Monitored parameters are related to channels of a multi-channel counter. The number of counts found in the counter channels after each exposure will be reported in a monitor file 15 together with a time stamp. [Pg.78]

Fig. 30. Schematic design of a simple but very useful and efficient data reduction algorithm. Data representing the time trajectory of an individual variable are only kept (= recorded, stored) when the value leaves a permissive window which is centered around the last stored value. If this happens, the new value is appended to the data matrix and the window is re-centered around this value. This creates a two-column matrix for each individual variable with the typical time stamps in the first column and the measured (or calculated) values in the second column. In addition, the window width must be stored since it is typical for an individual variable. This algorithm assures that no storage space is wasted whenever the variable behaves as a parameter (i.e. does not change significantly with time, is almost constant) but also assures that any rapid and/or singular dynamic behavior is fully documented. No important information is then lost... Fig. 30. Schematic design of a simple but very useful and efficient data reduction algorithm. Data representing the time trajectory of an individual variable are only kept (= recorded, stored) when the value leaves a permissive window which is centered around the last stored value. If this happens, the new value is appended to the data matrix and the window is re-centered around this value. This creates a two-column matrix for each individual variable with the typical time stamps in the first column and the measured (or calculated) values in the second column. In addition, the window width must be stored since it is typical for an individual variable. This algorithm assures that no storage space is wasted whenever the variable behaves as a parameter (i.e. does not change significantly with time, is almost constant) but also assures that any rapid and/or singular dynamic behavior is fully documented. No important information is then lost...
The definition of the concept ab initio is somewhat fluid, but usually means essentially free of empirical parameters. Being ab initio is generally considered a quality stamp, but one should be aware that some approaches, which ru e formally parameter-free, e.g. Thomas-Fermi density functional theory or ab initio tight binding, fail miserably outside limited application ranges. [Pg.513]

As shown in Figure 20.11, the microstructures are transferred from the master to the polymer by stamping the master into the polymer, which is previously softened by heating above its glass transition temperature. This method is limited to thermoplastic polymers, and the technique has been used successfully on a variety of polymers, including polycarbonate,i polyimide, cyclic olefin copolymer, and PMMA. The main parameters to control are the surface quality, temperature uniformity, and chemical compatibility of the master. [Pg.375]

Like HAZOP, STPA works on a model of the system and has guidewords to assist in the analysis, but because in STAMP accidents are seen as resulting from inadequate control, the model used is a functional control diagram rather than a physical component diagram. In addition, the set of guidewoids is based on lack of control rather than physical parameter deviations. While engineering expertise is still required, guidance is provided for the STPA process to provide some assurance of completeness in the analysis. [Pg.212]

Important Process Parameters Glue Deposition The glue can be deposited by different methods, such as dispensing or another kind of transfer, e.g., stamping with a spin-coated substrate or a dedicated intermediate stamp. [Pg.1293]

Fineblanking, often referred to as precision stamping, is a cold metal extrusion process which produces highly accurate components. Fineblanking is a manufacturing process that involves special type of presses and of tooling. The system is a function of the following parameters ... [Pg.375]

With regard to methods of fabrication, all processes in Table 1.1 that are applicable to unfilled, unmodified thermoplastics can also be used for discontinuous systems (with the exception of expandable bead molding). In addition to thermoforming, hot stamping of reinforced thermoplastic sheets mostly containing randomly oriented continuous or discontinuous fibers is used for the production of large semistructural parts. Fillers can also be used in the thermoset processes in Table 1.1, often in combination with the primary continuous fiber reinforcement. The content and inherent properties of the additive, as well as its physical/chemical interactions with the matrix, are important parameters controlling the processability of the composite. [Pg.9]

However, to check the forming behaviour of 3D warp interlock made with commingled yams, using such a complex final preform as represented in Figure 10.6, a first approach is applied on different fabric parameters and forming shapes to find the best adapted architecture to the stamping process. [Pg.275]

The static puncture test is described in EN ISO 12236 Geotextiles and Geotextiles-Related Products - Static Puncture Test. A cylindrical stamp (50 mm in diameter) is pressed through a clamped geomembraue disk of 150 mm fiee diameter at a speed of 50 mm/min. Thereby the resistauce to quasi-static puncture by a small, sharp edged object is determined. The maximum force required (puncture resistance) is the test parameter. The 2.5 mm thick HDPE geomembianes typically reach values > 6000 N. [Pg.120]

The determination of the diffusion coefficient of al-kanethiol ink in PDMS stamps is possible by means of simple linear-diffusion experiments, in which the basic parameters of//CP (ink concentration, printing time, and stamp geometry) are taken into account. Ink transport is monitored by direct adsorption on gold substrates from consecutive prints. We showed that the ink transport through the PDMS slab follows Pick s law of diffusion. A simplified analytical model was found to be accurate for experiments with high initial concentrations (saturation) but is likely to become inaccurate at low initial concentrations. Therefore, a more precise one-dimensional, numerical model based on the finite-difference method was developed, which also proved to be accurate at low concentrations. [Pg.575]


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