In-line viscosity fuzzy control

Chiu, Shih‐Hsuan; Pong, Sheng-Hong

doi:10.1002/1097-4628(20010214)79:7<1249::aid-app120>3.0.co;2-9

Cited by 30 publications

(10 citation statements)

References 11 publications

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“…PDE modeling along with nonlinear model predictive control strategies for a twin-screw extruder have been reported in [59], [60]. Beyond the control of the die melt temperature and pressure, certain control strategies have also been reported for controlling other relevant physical quantities such as the die viscosity with a PID controller in [61] or by means of fuzzy control in [62], [63].…”

Section: A Extrusion-based 3d Printingmentioning

confidence: 99%

Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review

2019

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Section: A Extrusion-based 3d Printingmentioning

confidence: 99%

Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review

2019

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“…However, the size of the screw speed step change (i.e., 300 rpm) used for simulation was unrealistic and also the reasons for the difference between experimental and simulation results were not discussed. Another work by Chiu et al [51] and Chiu and Pong [52,53] introduced a fuzzy gainscheduled PID controller (incorporating an in-line viscometer) to control the melt viscosity by manipulating the screw speed. A second order model related to the viscosity and screw speed was empirically developed (i.e., from plant step responses) to approximate the extruder dynamics.…”

Section: Viscosity Controlmentioning

confidence: 99%

Single screw extrusion control: A comprehensive review and directions for improvements

Abeykoon

2016

Control Engineering Practice

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Polymer extrusion is usually a complex process, particularly due to the coupled nature of process parameters, and hence highly prone to fluctuations. Although a number of different approaches have been attempted in research/industry over the last few decades for extrusion control, it is still experiencing some problems in achieving consistent product quality. Presently, most of the polymer processing extruders are equipped with PID controllers mainly for the control of the screw speed and barrel temperatures in their set limits. It seems that only both of these controllers are commonly used as the major aids of process control to achieve the required melt quality. Although, the quality of the melt output (i.e., a thermally homogeneous melt output which is constant in quantity and quality over the time) is the key variable in polymer extrusion, only a few control techniques are available which make control decisions by observing the actual melt flow quality. Therefore, the development of new control strategies which consider the actual melt quality, perhaps incorporating industrially popular nonlinear techniques such as artificial intelligence, should be highly valuable. In this work, a critical evaluation is made on the state-of-the-art of the previous control approaches in polymer extrusion in industry and research while identifying their limitations. Then, some of the possible directions for future research and also to develop an advanced process control strategy are presented by eliminating a few of the existing limitations.

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“…Researches designed a controller using an in line wedge rheometer as the sensor to control the extrusion of PVC with desired viscosity [6] . Researches developed a fuzzy controller using an in line viscometer to control the melt viscosity during extrusion processing [7] . It is most effective to maintain product quality utilising viscosity control, because a polymers viscosity correlates with its composition and molecular distribution and hence the characteristic of the material.…”

Section: Introductionmentioning

confidence: 99%

Barrel temperature control for quality of thermoplastic polymers in the extrusion process

Mayda¹

2018

Control Syst Eng

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Abstract:In this paper, the design procedure; modeling and controller design, testing are presented. Extensive tests have shown that the system reacts rapidly to changes in the operating conditions and effectively rejects disturbances due to unexpected changes in the quality of the material. This paper is the design and experimental testing of a feedback control system for the regulation of the volumetric flow in a polymer single screw extruder. Extruder temperature control is a challenging control problem. The problem becomes even more challenging when multiple barrel are included, such as in barrel temperature control for extruders. When characteristics of the system are examined, it becomes clear that a commonly used proportional plus compound plus derivative PID controller cannot meet such performance specifications for this kind of system. In order to achieve the required performance, a control strategy that utilizes techniques such as model predictive control, autotuning, and multiple parameter PID is formulated. This control strategy proves to be very effective in achieving the desired specifications.

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In-line viscosity fuzzy control

Cited by 30 publications

References 11 publications

Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review

Augmented Reality, Cyber-Physical Systems, and Feedback Control for Additive Manufacturing: A Review

Single screw extrusion control: A comprehensive review and directions for improvements

Barrel temperature control for quality of thermoplastic polymers in the extrusion process

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