Neural Network Approach to Density Control of Rigid PVC Foam in Extrusion Process
Abstract
In rigid PVC foam extrusion, foam density is very crucial in determining the mechanical characteristics of the extruded material and the profitability of the manufacturing process. This paper presents a new application of artificial neural computing in the control of PVC foam density in profile extrusion process. A 3-layer multi-layer perceptron (MLP) artificial neural network was developed to estimate the foam density (weight) based on the known processing conditions; mainly heating zones temperatures and screw speed. The network was developed and tested on a specific formula that is used in wood-like products. A two factorial design of experiment was carried out to determine the significant process variables before training the neural networks using a back propagation algorithm. Finally, a comparison between the true weights, and the estimated weights using artificial neural networks is presented.
© 2003, Carl Hanser Verlag, Munich
Articles in the same Issue
- Editorial
- Fourteenth in a Series: Heinz List and his Family of Continuous Mixing Machines
- Screw Extrusion
- Influence of Non-Newtonian Behaviour on the Processing Characteristics of Wall-slipping Materials
- Neural Network Approach to Density Control of Rigid PVC Foam in Extrusion Process
- Investigation of Melting Phenomena in Modular Co-rotating Twin Screw Extrusion
- Mixing and Compounding
- Montmorillonite Co-intercalated with Octadecylamine and Stearic Acid by Low Temperature Melting and its Influence on PP Nanocomposites
- Analysis and Optimization of Kenics Static Mixers
- Electret-thermal Analysis of Polymer Blends
- Effects of Zinc Fatty Acids on Improved Polymer Processing for Critical Extrusions
- Flexible Sheet Molding Compound (SMC) Using Aliphatic Polyester as Cross Linker
- Co-Extrusion
- Investigation of the Interfacial Instabilities in the Coextrusion Flow of PE and PS
- Film
- Radiant Heating of Plastics: Application to Film Blowing Processes
- Injection Molding
- Measurement and Prediction of Temperature Distribution in an Injection Molding Cavity
- A Study of Processing Conditions on the Properties of Diffraction Optical Elements by Injection/Compression Molding Process
- Flow Behavior of Sandwich Injection Molding in Sequential and Simultaneous Injection
- Rotational Molding
- Rotational Moulding and Powder Processing of Natural Fibre Reinforced Thermoplastics
Articles in the same Issue
- Editorial
- Fourteenth in a Series: Heinz List and his Family of Continuous Mixing Machines
- Screw Extrusion
- Influence of Non-Newtonian Behaviour on the Processing Characteristics of Wall-slipping Materials
- Neural Network Approach to Density Control of Rigid PVC Foam in Extrusion Process
- Investigation of Melting Phenomena in Modular Co-rotating Twin Screw Extrusion
- Mixing and Compounding
- Montmorillonite Co-intercalated with Octadecylamine and Stearic Acid by Low Temperature Melting and its Influence on PP Nanocomposites
- Analysis and Optimization of Kenics Static Mixers
- Electret-thermal Analysis of Polymer Blends
- Effects of Zinc Fatty Acids on Improved Polymer Processing for Critical Extrusions
- Flexible Sheet Molding Compound (SMC) Using Aliphatic Polyester as Cross Linker
- Co-Extrusion
- Investigation of the Interfacial Instabilities in the Coextrusion Flow of PE and PS
- Film
- Radiant Heating of Plastics: Application to Film Blowing Processes
- Injection Molding
- Measurement and Prediction of Temperature Distribution in an Injection Molding Cavity
- A Study of Processing Conditions on the Properties of Diffraction Optical Elements by Injection/Compression Molding Process
- Flow Behavior of Sandwich Injection Molding in Sequential and Simultaneous Injection
- Rotational Molding
- Rotational Moulding and Powder Processing of Natural Fibre Reinforced Thermoplastics