Dynamical modelling for computer control of plastics extrusion

experimental development of models relating dynamic interactions between screw speed and process variables in plastics extrusion using correlation and time series techniques; also a theoretical exploration of unsteady state effects. by A K. Kochhar

Publisher: The author in Bradford

Written in English
Published: Pages: 265 Downloads: 783
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Thesis. Typescript.

The Physical Object
Number of Pages265
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Open LibraryOL21504624M

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Dynamical modelling for computer control of plastics extrusion by A K. Kochhar Download PDF EPUB FB2

Dynamical modelling for computer control of plastics extrusion, Ph.D. Thesis, University of Bradford, 7. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: @ IJTSRD | Available Online @ | Volume – 2 | Issue – 1 | Nov-Dec Page: 5) G.A.

Hassan. The authors have used the same modelling technique for the modelling of the die melt temperature profi le (Abeykoon et al., a Abeykoon et al., c,b) and motor power consumption.

A.K. Kochhar, J. Parnaby, Dynamical modelling and control of plastics extrusion processes, Automatica 13 (2) Dynamical modelling for computer control of plastics extrusion book Adaptive and multivariable control of a.

Reproducible process control that is specially tailored to the raw material and product is therefore particularly important. energy and human labour. It is against this background that the use of computer systems for control in plastics processing has to be seen. and Kochhar, A. Dynamical modelling and control of plastics.

Hot-melt extrusion is commonly applied for forming products, ranging from metals to plastics, rubber and clay composites. It is also increasingly used for the production of pharmaceuticals, such as granules, pellets and tablets.

In this context, mathematical modeling plays an important role to determine the best process operating conditions, but also to possibly develop software sensors or Cited by: 5.

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Polymer extrusion is one of the final forming stages in the production of many polymeric products in a variety of applications. It is also an intermediate processing step in injection moulded, blown film, thermo-formed, and blow moulded products.

However, polymer extrusion is a complex process which is difficult to set up, monitor, and control. Direct numerical control (DNC) and computer numerical control (CNC), adaptive control of manufacturing processes.

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His research interests are primarily in the areas of Control and Dynamical Systems, specifically as related to. This book provides an introduction to many aspects of computer control. It covers techniques or control algorithm design and tuning of controllers; computer communications; parallel processing; and software design and implementation.

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Peters and Klaus D. Timmerhaus. Case Study 2: Black‐Box Modelling of a Twin Screw Extrusion Process. The MI soft sensor we described earlier was developed using steady‐state data in a single screw extruder. In this section, we consider the dynamic case where an SVR based nonlinear black‐box model is developed to capture the dynamics of a twin screw extrusion by: The book devotes itself to novel robots, humanoid and bio-robotic problems, challenges in control and motion synthesis, the kinematical and dynamical analysis of robotic systems, perception problems, space robots, and other promising innovative mechanisms and technologies.

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– (February ) ISBN 1 3 Application of rheology to polymer processing-- J. Ferguson. Polymer processing modelling - approximation methods-- J.F. Agassant, et al. Computer modeling of viscoelastic flow-- V. Legat. Modeling and optimization of single screw extrusion for thermoplastics-- J.F.

Agassant, et al. Distributive mixing in extruders-- D.I. Bigio. These are achieved by using computer-aided design/manufacturing (CAD/CAM) as well as additive manufacturing (AM) technology to manufacture the physical models of hard tissues, scaffolds, and furthermore the customised implant prostheses [4, 5], and applying the physical and anatomical modelling for reconstructive tissue implementation and.