A Process Classification Number for the Solidification of Crystallizing Materials
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        H. Janeschitz-Kriegl
        
Abstract
A critical number, which one may call a process classification number, has been introduced more than twenty years ago [1, 2, 3]. It has been called the Janeschitz-Kriegl number Jk [4]. It gives the ratio of two times governing the solidification process of a crystallizing material: one for the thermal equilibration and the other for the crystallization process itself. With one class of materials (mainly metals) the thermal equilibration time is usually the longest time, dependent of course on the sample thickness. With another class (glass forming minerals) always the crystallization time is the longest time. So, one obtains (as extreme cases) purely heat diffusion controlled and purely crystallization kinetics controlled processes. Only polymers (and probably also other crystallizing soft condensed matters) show an intermediate behavior, as can be characterized by the announced number.
So far, however, this number could not be made operational because of a lack of crystallization kinetics data. This shortcoming could now be cleared away. It turns out that between the values of Jk for HDPE and for i-PS a gap exists of more than six decades. In their behavior all other known industrial polymers lie between these limiting cases. In this way the transition from heat diffusion controlled to crystallization kinetics controlled processes is clearly marked. For the now relevant interaction between cooling and crystallization a new mathematics was required [2]. It enables also the description of the development of structures, which are of particular interest for the quality of the product.
Acknowledgements
The authors are obliged to Prof. Julia A. Kornfield, California Institute of Technology, for drawing attention to Prof. William L. Johnson’s work on glass-forming alloys.
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© 2006 Walter de Gruyter GmbH, Berlin/Boston, Germany
Artikel in diesem Heft
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- Single and Multi Objective Optimization for Injection Molding Using Numerical Simulation with Surrogate Models and Genetic Algorithms
- A Process Classification Number for the Solidification of Crystallizing Materials
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Artikel in diesem Heft
- Contents
- Rapid Communications
- A Novel High Flow Rate Pin for Water-assisted Injection Molding of Plastic Parts with a More Uniform Residual Wall Thickness Distribution
- Regular Contributed Articles
- Structure Property Relationships in PA 6 and PP Copolymers Blended by Single and Twin Screw Extrusion
- Stretchability and Properties of Biaxially Oriented Polypropylene Film
- Dynamic Mold Surface Temperature Control Using Induction and Heater Heating Combined with Coolant Cooling
- Visualization of Melt-Flow Behavior Inside the Runner in Ultra High Speed Injection Molding
- Effects of Cavity Conditions on Transcription Molding of Microscale Prism Patterns Using Ultra-High-Speed Injection Molding
- Effect of Melt and Mold Temperature on Fiber Orientation during Flow in Injection Molding of Reinforced Plastics
- Invited Paper
- Polymer/Layered Silicate Nano-composites
- Regular Contributed Articles
- Paste Extrusion of Polytetrafluoroethylene: Temperature, Blending and Processing Aid Effects
- Influence of Viscosity-interface Modifier Interactions on Performance and Processability of Rice Hull PE Composites
- Single and Multi Objective Optimization for Injection Molding Using Numerical Simulation with Surrogate Models and Genetic Algorithms
- A Process Classification Number for the Solidification of Crystallizing Materials
- Effect of Aerodynamics on Film Blowing Process
- Analysis of Necking Deformation Behavior in High-Speed In-line Drawing Process of PET by On-line Diameter and Velocity Measurements
- PPS News
- PPS News
- Seikei-Kakou Abstracts
- Seikei-Kakou Abstracts