Résumé
    
    
      
                      
  This book presents a comprehensive exploration of moiré tomography and its application to structural visualization and key-parameter diagnosis in high-temperature complex flow fields. The content is organized around five main themes:1. Theory – Establishment of the refractive-index model essential for applying moiré tomography to flow-field diagnostics, and investigation of the physical mechanisms underlying refractive-index gradient variations.2. Experiment – Analysis of experimental challenges and their impact on results, with explanations and validations based on scalar diffraction theory.3. Information extraction – Techniques for phase-information extraction, spectrum analysis, phase retrieval, deflection-angle acquisition, and refractive-index reconstruction.4. Key-parameter measurement – Retrieval of critical flow-field parameters, including temperature and electron number density.5. Method extensions – Preliminary studies on extending moiré tomography to atmospheric applications.Intended for researchers, educators, and engineers in atmospheric science, aeronautics, optical engineering, and related fields, this book offers both theoretical insights and practical approaches for the analysis and diagnostics of complex flow-field structures.
      
    
      
          
  
      
   
      
  
  
      
    
      Auteur
    
    
      
                      
  
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              Yun-yun CHEN is professor at the School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology. Her research focuses on the optical transmission properties of complex media and the development of optical tomography techniques for diagnosing high-temperature complex flow fields.
             
 
 
       
    
      
                
   
      
  
      
  
  
      
    
      Caractéristiques
    
    
      
                
    
      
                
    
      
          
      
    
      
          
      
    
      
          
      
    
      
                      
  
    Publication :  4 novembre 2025  
       
    
      
          
      
    
      
                
    
      
                      
  
    Support(s) : Livre numérique eBook [PDF]  
       
    
      
                
    
      
                      
  
    Protection(s) : Aucune (PDF)  
       
    
      
          
      
    
      
                      
  
    Taille(s) : 12,6 Mo (PDF)  
       
    
      
                
    
      
                      
  
    Code(s) CLIL : 3078, 3073  
       
    
      
                      
    
      EAN13 Livre numérique eBook [PDF] : 9782759839292