Abstract
The eccentric rotor extruder is a new kind of extrusion equipment with novel structure and outstanding engineering performance. As the structure of the eccentric rotor extruder is different from that of the traditional screw extruder, the control of the barrel temperature becomes important, including avoiding the influence of heating coupling and achieving high control accuracy. A neuron proportional-integral-derivative (neuron-PID) control algorithm of barrel temperature for the eccentric rotor extruder is introduced. The neural self-learning algorithm is able to tune PID parameters online, and the particle swarm optimization (PSO) algorithm is adopted to optimize the initial weight coefficients of the neuron. The experimental results show that the PSO-neuron-PID controller has the advantages of low overshoot and high control accuracy, and the influence of heat coupling can be counteracted effectively.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51435005
Award Identifier / Grant number: 51505153
Funding statement: The authors gratefully appreciate the Key Program of National Natural Science Foundation of China (grant no. 51435005), the National Natural Science Foundation of China (grant no. 51505153), and the Science and Technology Program of Guangzhou, China (grant no. 201802010008).
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Artikel in diesem Heft
- Frontmatter
- Material properties
- The effect of unidirectional shear flow-induced orientation on foaming properties of polypropylene
- An investigation on electro-induced shape memory performances of CE/EP/CB/SCF composites applied for deployable structure
- Nanocomposite film with green synthesized TiO2 nanoparticles and hydrophobic polydimethylsiloxane polymer: synthesis, characterization, and antibacterial test
- Preparation and assembly
- Binary solvent systems for durable self-adhesive conductive hydrogels
- Development of surface properties of ultra-high-molecular-weight polyethylene film using side-chain crystalline block copolymers
- Highly porous, fast responding acrylamide hydrogels through emulsion polymerization using coconut oil
- Engineering and processing
- Multizone barrel temperature control of the eccentric rotor extrusion process
- The influence of mold temperature on thermoset in-mold forming
- Innovative γ rays irradiated styrene butadiene rubber/reclaimed waste tire rubber blends: a comparative study using mechano-chemical and microwave devulcanizing methods
- Experimental study on influence of molding parameters on self-reinforcement characteristics of polymer co-injection molding
Artikel in diesem Heft
- Frontmatter
- Material properties
- The effect of unidirectional shear flow-induced orientation on foaming properties of polypropylene
- An investigation on electro-induced shape memory performances of CE/EP/CB/SCF composites applied for deployable structure
- Nanocomposite film with green synthesized TiO2 nanoparticles and hydrophobic polydimethylsiloxane polymer: synthesis, characterization, and antibacterial test
- Preparation and assembly
- Binary solvent systems for durable self-adhesive conductive hydrogels
- Development of surface properties of ultra-high-molecular-weight polyethylene film using side-chain crystalline block copolymers
- Highly porous, fast responding acrylamide hydrogels through emulsion polymerization using coconut oil
- Engineering and processing
- Multizone barrel temperature control of the eccentric rotor extrusion process
- The influence of mold temperature on thermoset in-mold forming
- Innovative γ rays irradiated styrene butadiene rubber/reclaimed waste tire rubber blends: a comparative study using mechano-chemical and microwave devulcanizing methods
- Experimental study on influence of molding parameters on self-reinforcement characteristics of polymer co-injection molding