List of Articles Irreversibility

• Open Access Article
  • Abstract Page
  • Full-Text
  
  1 - Two Rival Approaches to Problem of Irreversibility
  سید رضا ملیح زهرا شجاعی
  With the discovery of second law of thermodynamics and the attemptto supervene it on the classical dynamics, the paradox of irreversibilityshowed up for the first time, as the laws of classical dynamics, incontrast to the second law of thermodynamics, were reversible an More

  With the discovery of second law of thermodynamics and the attemptto supervene it on the classical dynamics, the paradox of irreversibilityshowed up for the first time, as the laws of classical dynamics, incontrast to the second law of thermodynamics, were reversible andsymmetric with respect to time. In this paper, after reviewing theproblem of irreversibility, we pin down two rival approaches to theproblem. The first approach whose pioneer is Ilya Prigogine claims thatirreversibility arises out of dynamical instabilities defined as “disorder”at microscopic level. However, according to the rival theory, which isadvocated by Price and Bricmont, irreversibility at macroscopic levelarises out of specific initial conditions of the world. This is notcontrasted with the notion of irreversibility at microscopic level.Although the two rival theories are completely different with respect totheir theoretical foundations, I will show that one can trace a consensusin a view that reversibility is “practically in principle” impossible. Thisis the term I have coined for the commonality between the two opposedtheories Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  2 - Geometrical Effects of Duct on the Entropy Generation in the Laminar Forced Convection Separated Flow
  Nasrin Aminzadeh Shima Sotoodehnia Meysam Atashafrooz
  Manuscript profile
• Open Access Article
  • Abstract Page
  • Full-Text
  
  3 - Evaluation and Comparison of Different Artificial Neural Networks and Genetic Algorithm in Analyzing a 60 MW Combined Heat and Power Cycle
  parisa ghorbani Arash Karimipour
  10.30486/admt.2024.1983665.1405
  The constant growth of energy consumption, increased fuel costs, non-renewable fossil fuel sources, and environmental pollution caused by increased emission of greenhouse gases, and global warming highlight the need for the analysis and optimization of main energy gener More

  The constant growth of energy consumption, increased fuel costs, non-renewable fossil fuel sources, and environmental pollution caused by increased emission of greenhouse gases, and global warming highlight the need for the analysis and optimization of main energy generation bases, i.e. power plants. The Artificial Neural Network (ANN) is a useful novel method for better processing information and controlling, and optimizing and modeling industrial processes. For the first time in this study, an ANN was designed and applied to data extracted from modeling and analyzing a 60 MW combined heat and power generation power plant. To this end, the error backpropagation network was selected as the optimal network, and the generator load or capacity, condenser pressure, and Feedwater temperature were considered inputs to the ANN. The energy and exergy efficiencies of the power plant and the overall energy and exergy losses of the cycle were considered outputs of the ANN. The ANN was coded and designed with the help of MATLAB. The Genetic Algorithm (GA) was used to obtain the optimal values of input parameters and the minimum losses and maximum efficiencies based on the first and second laws of thermodynamics. Manuscript profile