Hardware design parameters

During the design phase, facilities (the hardware items of equipment) are designed for operating conditions which are anticipated based upon the information gathered during field appraisal, and upon the outcome of studies such as the reservoir simulation. The design parameters will typically be based upon assessments of... 

Suppression system design parameters fall into the two categories of explosion threat definition and suppression system hardware definition. The various influences are summarized in Table 26-23. 

A number of areas in which plastics are used in electrical and electronic design have been covered there are many more. Examples include fiber optics, computer hardware and software, radomes for radar transmitters, sound transmitters, and appliances. Reviewed were the basic use and behavior for plastics as an insulator or as a dielectric material and applying design parameters. The effect of field intensity, frequency, environmental effects, temperature, and time were reviewed as part of the design process. Several special applications for plastics based on intrinsic properties of plastics materials were also reviewed. 

The effect on detonation transfer of the parameters shown in Fig Ex22 were reviewed for the donor and acceptor expls RDX, HNS-1 (2,4,6,2/,4/,6/-Hexanitrostilbene of 3 microns particle size) HNS-11 (Same as HNS-1, except of 200-300 microns particle size), DATB (1,3-Diamino-2,4,6-trinitrobenzene), and TATB (1,3,5-Triamino-2,4,6-trinitrobenzene) with a wide cross-section of sensitivities. Eash of these parameters has been individually qualified and explained on both the theoretical level and the impact on practical hardware design. The experimental study is described in Ref 2 Refs 1) M.L.Schimmel, "Quantitative Understanding of Explosive Stimulus Transfer... 

The computer system URS and FDS, the subsequent software and hardware design specifications, and instrument data sheets are the reference documents for qualification protocol development. The basis and acceptance criteria for each test should be derived from the system parameters, data, and function requirements that have been specified. It is advantageous to commence development of the test procedures at the same time as the respective specifications— this to best ensure that requirements and tests correspond, are traceable, and can be better understood. 

The next step is column selection. Many factors contribute to the chromatographic results that are obtained on a given sample. Some of these are related to the instrument, and others are operational parameters. The column is in both ways important. The column as part of the chromatographic hardware is a design parameter which should be selected according to the needs of individual laboratories. Operational parameters, including column temperature and carrier flow rate, both of which may exercise profound influences on column behavior must be selected by the operator, considering the application as well as the characteristics of the column. 

The models presented in Section 6.2 contain a set of independent and dependent parameters. Designing a chromatographic process starts with the selection and specification of the chromatographic system (Chapter 4) and, subsequently, the kind of the chromatographic process as well as its hardware (Chapter 5). These are characterized by design parameters ... 

Andrew J. Viterbi [8]. After the introduction of Viterbi algorithm, many scientists and researchers extended this work by varying and improving the decoder design parameters in order to enhance the performance in software and hardware implementations. 

A Secure Memory Device works like a cryptographic dongle. Instead of being connected to an external interface, a secure memory device is already integrated as a module with in hardware design. In addition to internal memory, which also contains individual parameters or may have a unique chip identifier, these devices provide useful basic cryptographic functions for protection of the entire system (hardware and software) (Fig. 18.15). If a secure memory device is built stationary in a component, the protection of the whole product is improved. 

The dynamic behavior of L-shaped cantilever walls was explored by means of 1-g shaking table testing. The aim of the experimental investigation is to better understand the soil-wall dynamic interaction problem, the relationship between design parameters, stability safety factors and failure mechanisms, and the validation of the seismic Rankine theoretical model. The test series were conducted to the Bristol Laboratory for Advanced Dynamics Engineering (BLADE), University of Bristol, UK. Details on the experimental hardware, materials, configurations and procedure are provided in the ensuing. 

Designing a smart shirt requires exploring the design parameters not only in software and hardware components but also in everyday wearing requirements [5]. 

It provides the flexibility to change design parameters without the expense of hardware changes. It therefore costs less than laboratory or field experiments, allowing engineers to try more alternative designs than would be feasible otherwise. 

By now it is probably apparent that we are striving for control system designs whose performance and design parameters are specified in advance of plant startup. In practice we furnish calibration data for controller parameters and computational devices for the majority of control loops prior to startup. We calculate these from simulations or simple linear models. For microprocessor computer controls, we calculate scaling parameters for computation blocks (either in software or hardware). Our design procedures are accurate enough that only a modest amount of empirical controller tuning is required at starmp. 

They are several concerns when designing an EMI filter. The parameters of the EMI filter examined in this book reflect these concerns. If the EMI filter is to be used on a converter, the input impedance of the converter must be greater than the output impedance of the filter at all frequencies. It is good practice to allow 6 dB of margin for this parameter. If the output impedance of the filter gets too close to the input impedance of the converter, there can be problems with the stability of the converter. It may be important to note here that this output impedance is sensitive to the effective series resistance (ESR) of the output capacitors. For the hardware data taken for this unit, tantalum capacitors, which have unspecified ESR, were used. The ESR of a similar capacitor was measured for the simulations. 

Problems encountered in HPLC analysis most often stem from a lack of knowledge of the influence of the slight variation of the experimental parameters (pH, temperature, solvent composition, flow rate, etc.). The analyst has to set up the list of parameters and their possible interactions. There are hardware parameters (e.g., flow control, temperature control, lamp current) and software parameters used to interpret and report the results from stored data. The use of factorial designs is of great help. Software such as Validation Manager, from Merck, produces, in a table for each parameter and interaction, its percentage and confidence interval as well as information to help the analyst in concluding the study. 

To support requirements and critical parameter traceability the FDS should, where possible, adopt the format of the URS. (See Secs. V and VI.) It is important that these primary corresponding specifications are fully understood by both the user and the supplier and are formally reviewed and approved before the supplier prepares the design specifications for hardware, software, and the control and monitoring instrumentation and regulating devices. 

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