TL;DR: In this paper, the pig position, optimum flow rate in upstream flow and the time that the pig reaches the end of the pipeline are obtained from the simulation results with the field data of liquid flow through the pipeline from KG to AG located in Iran.
TL;DR: This paper presents numerical results from a two-Machine Decomposition Analysis of Flow Line Analysis of Discrete Material Flow Line Models, which revealed Variability and the Performance of Flow Lines to be non-Linearities in the Flow of Material.
Abstract: Introduction.- Issues, Goals, and Methods of Flow Line Analysis.- Variability and the Performance of Flow Lines.- Non-Linearities in the Flow of Material.- Economic Design Problems in Flow Line Analysis.- Methods of Performance Analysis.- Two-Machine Decomposition of Flow Lines.- Review of the Literature.- Assembly/Disassembly Systems with Random Processing Times.- Discrete and Continuous Time Models.- Exact Solution of a Two-Machine Subsystem.- Decomposition Equations for Assembly/Disassembly Systems.- Two Algorithms to Determine Performance Measures.- Numerical Results.- Optimal Design of Assembly/Disassembly Systems.- Flow Lines with Rework Loops and Identical Processing Times.- Discrete-Material Flow Line Model with Identical Deterministic Processing Times.- Decomposition Equations for Loops and Identical Processing Times.- The Algorithm to Determine Performance Measures.- Numerical Results: Algorithms and Flow Line Behavior.- Optimal Design of Systems with Loops and Identical Processing Times.- Flow Lines with Rework Loops and Machine-Specific Processing Times.- Continuous-Material Flow Line Model with Machine-Specific Processing Times.- Decomposition Equations for Loops and Different Processing Times.- The Algorithm to Determine Performance Measures.- Numerical Results: Algorithms and Flow Line Behavior.- Optimal Design of Systems with Loops and Different Processing Times.- Conclusions and Suggestions for Further Research.- Derivation for the Discrete Material Flow Line.- Derivation for the Continuous Material Flow Line..
TL;DR: In this paper, a flow-line model is presented for calculating the surface profile and the velocity, strain-rate, and stress fields in an ice sheet with given base-elevation profile, ice thickness at the dome (divide), flow-law parameters, mass-balance distribution, and convergence/divergence conditions along the flow line.
Abstract: A flow-line model is presented for calculating the surface profile and the velocity, strain-rate, and stress fields in an ice sheet with given base-elevation profile, ice thickness at the dome (divide), flow-law parameters, mass-balance distribution, and convergence/divergence conditions along the flow line. The model, which is based on a “quasi-similarity” hypothesis as regards the horizontal velocity-depth profiles, accounts for changes along the flow line in the depth distributions of temperature, normal stress deviators, and possible enhanced flow of deep ice of Wisconsin origin. A curvilinear coordinate system is applied with horizontal axes along flow lines and surface-elevation contours, respectively. The flow equations are reduced to two differential equations, one for the surface-elevation profile, and the other for a profile function that determines the depth distributions of velocities and strain-rates. The two equations are coupled through a profile parameter that communicates the influence of velocity-profile changes to the surface-profile equation. It is shown that the variation along the flow line of this parameter should also be considered when deriving flow-law parameters from ice-sheet flow-line data. For a symmetric dome, explicit expressions are derived for the depth distributions of the vertical velocity, strain-rates, and stresses. The strain-rate profiles display an inflection about half-way down the ice sheet, and, in the case of isothermal ice, have surface values 2.2 times their depth-averaged values. The depth distribution of the vertical velocity indicates that a relatively thick layer of almost stagnant ice is present at the ice-sheet base below a dome.
TL;DR: In this article, a two-phase layout procedure that combines flow line analysis with simulated annealing is proposed, which can be employed using a variety of evaluation criteria (minimize total flow distance, maximize number of in-sequence movements, and so on).