2. Utilize a computational approach to optimize and evaluate the design and/or operation of the two types of devices; it consists of: a. The numerical method b. The computational model of the devices c. The analysis of the effects of various types of gases through a chemical process and/or electrochemical device 3. Utilize theoretical approach to solve the thermodynamic process with several gases. The experimental approach is performed on simulation systems (theoretical model). Examples: the simulation of a semiconductor nanowire and graphene foam flow in the presence of different gases (methane, CO2, etc.). 4. Utilize experimental approach to solve the thermodynamic process with many types of gases. The analysis of the effects of various gases through a chemical process is performed on simulation systems (theoretical model). Examples: the simulation of a semiconductor nanowire and graphene foam flow in the presence of the mixture of gases (methane, CO2, etc.). 5. Utilize theoretical approach to analyze the behavior of multicomponent gases based on classical thermodynamics. A computational approach is performed on the simulation systems (theoretical model). Example: the computational analytical models of the two types of devices and their operation under different temperatures and concentrations. 6. Utilize statistical approach to analyze the simulation system and the experimental data on multicomponent gases, in particular: a. On simulations with few parameters (simulating only one type of gases for certain quantities); b. On simulations with very large numbers of gases (solved in the form of simulation). 7. Estimate the kinetic and thermal energy required to produce a certain gas mixture by the calculation of the equilibrium potential energies (see “Theoretical Analysis of the Thermodynamic Process” of the course). It is of interest to calculate the kinetic energies and corresponding temperatures for different concentrations of gases according to a general statistical distribution of values. 8. In the study of the thermodynamic process and its interaction with a variety of gases of multiple substances (methane for example), the statistical techniques used in the thermodynamics of gases — thermodynamic distribution of the energies of the gases according to a general statistical distribution (i.e. a heat transport coefficient) — are of most importance. The statistical principles of thermodynamics can be further used as a new approach to the study of the molecular dynamics of gases.
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Computer code for estimating the stationary multicomponent one-dimensional gas flow by the hypothesis of the local thermodynamic equilibrium in chemical processes A.S. Boris*) E.B. Rudy**) *) —
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Computer code for estimating refers to a set of instructions written in programming languages that is used to calculate or estimate numerical values, costs, or quantities for various purposes such as project planning, budgeting, or financial analysis.
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Individuals or organizations involved in estimating costs or quantities for projects or financial analysis are required to file computer code for estimating. This can include construction companies, engineering firms, financial institutions, or individuals working in related fields.
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To fill out computer code for estimating, one needs to have a good understanding of programming languages and the specific requirements of the estimating task. It involves coding the necessary calculations, formulas, and algorithms to perform the desired estimations accurately.
What is the purpose of computer code for estimating?
The purpose of computer code for estimating is to automate the process of calculating or estimating numerical values, costs, or quantities. It helps to improve accuracy, efficiency, and consistency in estimating tasks, reducing human errors and saving time.
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The specific information required to be reported in computer code for estimating can vary depending on the nature of the estimation task. It may include input values, calculation methods, formulas, variables, assumptions, and any relevant data or references used in the estimation process.
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