Temperature Control of Heating Cylinder of Injection Moulding Machine by Decoupling Method

Akashi, Tomoyuki

doi:10.9746/sicetr1965.22.230

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…In the previous research [1], the proposed model lacks the accuracy for the purpose above. In particular, it is ignored that the rate of heat loss to the air depends on temperature of 1 heaters [2]. First, we show that the temperature-dependency is not negligible by experiment.…”

Section: Introductionmentioning

confidence: 94%

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Nonlinear reduced order modeling of plasticization cylinders

Sadamoto

Kashima²,

Morita

et al. 2014

2014 American Control Conference

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In this paper, we construct a nonlinear reduced order model of a plasticization cylinder of injection machines, which has a spatially distributed nonlinear dynamics. First, a distributed parameter model for the overall control system is derived based on the physical laws. Next, we attempt to reduce the model complexity focusing on the specific structure of the nonlinearity which arises from temperature-dependency of the rate of heat loss of heaters subjected to natural convection. This enables us to obtain a 28-dimensional model (via an 808-dimensional spatially discretized model) while theoretically guaranteeing a practically satisfactory accuracy. The obtained model is examined experimentally by using a prototype system.

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Section: Introductionmentioning

confidence: 94%

“…3 First, heat transfer property of a barrel is described by a cylindrical coordinate diffusion equation 1 as where α [m 2 /s] denotes a diffusion coefficient. Heat budget on the surface of the barrel is given as Neumann type boundary conditions:…”

Section: A Barrel Outer Air Inner Fluid and Water-cooling Cylindermentioning

confidence: 99%

Nonlinear reduced order modeling of plasticization cylinders

Sadamoto

Kashima²,

Morita

et al. 2014

2014 American Control Conference

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“…Different types of molds are already widespread in the industry and it is therefore possible to find commercial so-lutions for thermal control like [3]. These alternatives are general developments and normally rely on standard PID compensators [4]. Given its technical importance, more advanced solutions can also be found in the scientific bibliography.…”

Section: Introductionmentioning

confidence: 99%

Predictive Control Based on Reduced Order Model for temperature homogeneity in a resin transfer molding tool for thermoset materials

Escolano,

Rodriguez,

Orus

et al. 2019

Preprint

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Resin Transfer Molding (RTM), which has attracted much attention in the last years for lightweight manufacturing, represents an important challenge in terms of control technology. During the process, a resin fills the cavity where a reinforcement fabric has previously been layered. This resin undergoes a chemical reaction which is thermically activated. Therefore, assuring a proper reaction requires a precise control of temperature in the entire mold cavity. Three factors make this control problem especially hard: the coupling among the large number of actuators and sensors, the variability of the test conditions and the power limitations of the electric actuators which do not offer cooling capability. The present work describes an optimized Model Predictive Control (MPC) architecture capable of handling these difficulties and also achieving the tight control requirements needed in the application. The thermal distribution inside the mold cavity is included into the controller by a simplified Reduced Order Model (ROM). This representation is obtained by data from an experimentally validated Finite Element Model (FEM), using AutoRegressive model with eXogenous terms (ARX) identification. In order to maintain the simplicity of this linear representation, the time-varying model parameters are estimated by using a perturbation observer. Additionally, the performance of the basic algorithm is improved: firstly, an augmented observer to estimate the temperature distribution of an extended spatial resolution; and secondly, a symmetry condition in the calculation of the control commands. The developed architectures have successfully been implemented in a RTM tool with the fulfillment of the control requirements.

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