FEM based modelling and control of temperature field in extruder barrel

Belavý, C.; Hulkó, G.; Šišmišová, Dana; Kubiš, Milan

doi:10.1109/cyberi.2018.8337544

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…In this paper, consideration is given to effects caused by variation in the line speed of the electrical cable extrusion process. [9], [10], [11], [12], [13], [14], [15]. However, their limitations are unable to guarantee the maximum reduction in its settling time and overshoots.…”

Section: Introductionmentioning

confidence: 99%

Speed Control of an Electrical Cable Extrusion Process Using Artificial Intelligence-Based Technique

Ofosu

Normanyo

Abdul-Aziz

et al. 2023

JNTE

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Most cable manufacturing companies use Programmable Logic Controllers with conventional controllers to control line speed during cable extrusion. These traditional controllers have difficulties keeping the line speed constant, causing surface defects on the extruded cables and affecting the quality of the manufactured cables. To overcome these challenges, data on the causes of defects during cable manufacturing were collected from a cable manufacturing company in Ghana to ascertain the possible causes during cable manufacturing. Adaptive Neuro-Fuzzy Inference System (ANFIS) controller was designed to provide a constant line speed during the cable extrusion process. To ascertain its robustness, the ANFIS controller was compared to a conventional Proportional Integral Derivative controller and a Fuzzy Logic controller. The controllers were designed and simulated using MATLAB/Simulink software. The analysis of the collected data indicated that a break in insulation/ sheath was a frequently occurring defect during the cable manufacturing process due to improper line speed control of the machines used in the cable manufacturing process. Based on the results obtained from the various controllers, it was concluded that the ANFIS controller was robust in achieving stability regarding line speed variations.

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Section: Introductionmentioning

confidence: 99%

Speed Control of an Electrical Cable Extrusion Process Using Artificial Intelligence-Based Technique

Ofosu

Normanyo

Abdul-Aziz

et al. 2023

JNTE

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“…Its simulation outcome is confronted to the numeric results from a precise finite element (FE) model, generated by the simulation package FEniCS (described in Logg et al (2012) and Alnaes et al (2015)). A similar FE approach is described by Belavỳ et al (2018). These models are the basis for the design of a Smart Sensor which estimates the heat flow between the screw conveyor and the cylinder.…”

Section: Introductionmentioning

confidence: 99%

A Smart Sensor for the Heat Flow of an Extruder

Schwarzinger¹,

Schlacher²

2021

Preprint

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Two mathematical models are derived to describe the thermal dynamics of a plastics production machine. The Smart Sensor design is based on the finite volume model. The accuracy of the derived finite volume model is validated by a finite element model. Those models are validated by measurements. A Smart Sensor for the heat flow between the extruder cylinder and screw conveyor is designed. Such a configuration has the advantage to decouple the thermal control problem from the specific granulate.

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