Thermoforming Modeling and Simulation A Multiphysics Approach Multiphysics: Advances and Applications Series
Coordonnateurs : Erchiqui Fouad, Khawaja Hassan, Moatamedi Mojtaba, Kaddami Hamid
Thermoforming Modeling and Simulation: A Multiphysics Approach concentrates on the modeling and optimization of thermoforming, as well as identifying the structural behavior of thermoplastics used for thermoforming. The book demonstrates the expertise gained through industrial and academic projects in technical transfer. It also illustrates the research and development skills in experimental and numerical modeling of thermoforming. The problem of identifying laws of behavior from experimental data (rheological or mechanical tests in large deformations), using algorithms such as neural networks, is also addressed. Through its multiphysics content, this book is helpful for researchers, teachers and industrialists interested in new advances in thermoforming (characterization of materials, modeling and optimization).
Part I: Characterization of materials in thermoforming 1. Characterization of polymeric membrane under the combined effect of temperature and gravity 2. Characterization of polymeric membrane under large deformations using fluid-structure coupling 3. Characterization of Softened Polymers for thermoforming applications 4. Reliability of free inflation and dynamic mechanics tests in predicting polymer behavior for thermoforming applications 5. Deployment of a Neo-Hookean membrane: Application to process forming Part II: Numerical modeling in thermoforming 6. Infrared radiation applied to thermoforming 7. Directional analysis of long fibers in transversely isotropic hyperelastic and viscoelastic material used for thermoforming 8. Thermodynamical approach for analysis of thermoforming process using the explicit dynamic or the quasi-static finite element method in large deformations 9. Effect of cooling temperature on crystallinity and release time for thermoforming applications 10. SPH and FEM investigation of hydrodynamic impact problems: Application to forming analysis 11. Fluid solid interaction simulation of CFRP shell structure 12. Numerical investigation of a mixed SPH-FEM formulation for fluid structure interaction problems: Application to thermoforming Part III: Optimization in thermoforming 13. Non-linear threshold algorithm-based solution for infrared heating optimization in the thermoforming process 14. Application of genetic and simulated annealing algorithms for optimization of infrared heating stage in thermoforming process Part IV: New Advances in Thermoforming and Applications 15. Comparative study of the use of infrared and microwave heating modes for the thermoforming of wood-plastic composite sheets 16. Potential of biocomposites based on thermoplastic and plant fibers for thermoforming applications 17. Experimental and theoretical study of the thermoformability of industrial polymers 18: Thermoplastic composite fabrication using Commingling techniques
Dr. Khawaja is an Associate Professor in the Department of Automation and Process Engineering, and Research Group Leader of IR, Spectroscopy, and Numerical Modelling Research Group at UiT-The Arctic University of Norway. He is a Chartered Engineer (CEng), Professional Engineer (PE), and holds the posts of Vice President of the International Society of Multiphysics (ISoM) and Director & Chair at the Global Listening Centre (GLC). He is also Chairman of the Board and Founding Member of the start-up, ‘Windtech AS’. Dr. Khawaja was the recipient of the Multiphysics Student Award back in 2009. He studied for his Doctorate at Fitzwilliam College, University of Cambridge, United Kingdom, with the thesis title: “CFD-DEM Simulations of Two-Phase Flow in Fluidised Beds, which he defended in December 2012. He worked as a Post Doctorate on project title: “Multiphysics Investigation of Composite Shell Structures Subjected to Water Shock Wave Impact in Petroleum Industry, funded by the Research Council of Norway (NFR) PETROMAKS with Professor Moatamedi and Professor Souli. He has collaborated with scientists/researchers in over 20 high
- Introduces the use of artificial intelligence for viscoelastic and hyperelastic identification of thermoplastics in large deformations
- Presents integrated thermoforming modeling (including fluid-structure coupling)
- Models the effects of mold temperature on cooling and in degrees of crystallinity induced in semi-crystalline polymers
Date de parution : 12-2024
Ouvrage de 380 p.
15.2x22.8 cm
