The cooling of the pressing device in the glass industry

Salač, Petr; Starý, Michal

doi:10.1260/1750-9548.7.3.207

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…The laboratory experiment which would verify the degree of compliance of the proposed model for the shape optimization of the insulation barrier with reality, was not performed. The agreement of the model and reality can only be inferred from an analogy with the similar experimental verification of the model described in [6], in which the optimized shape of the plunger cavity with the application of a regulation current body was considered.…”

Section: Resultsmentioning

confidence: 99%

Numerical solution of the pressing devices shape optimization problem in the glass industry

Salač

2018

Appl.Math.

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Section: Resultsmentioning

confidence: 99%

Numerical solution of the pressing devices shape optimization problem in the glass industry

Salač

2018

Appl.Math.

Self Cite

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“…The heat conduction in solid can be modeled in two dimensions with the heat equation as shown in Eq. 5 [41][42][43][44][45][46].…”

Section: Heat Conduction Equation For Solidmentioning

confidence: 99%

Conjugate Heat Transfer Model Based on SIMPLE and Coupled Energy and Heat Equations

2021

IJM

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In this study, a numerical weak coupling strategy for the modeling of a conjugate heat transfer phenomenon is considered. Where the incompressible Navier Stokes equations are solved using the Semi-Implicit Method for Pressure Linked Equations (SIMPLE) as a first step, and then the heat conduction equation for solid is solved in a second step considering the convective velocity field resulting from the first step. A finite-difference approach is used for both discretized time and spatial operators. In this paper, a two-dimensional simulation case study of a steady uniform stream wise flow around heated rectangular and triangle solids is presented. The simulation is forward in time until the steady-state regime is reached as the residuals converge and tend to zero. The spatial analysis of the temperature is obtained through the numerical resolution of the incompressible Navier Stokes, energy equation, and the heat diffusion equation for the fluid and solid media, respectively. The results show the temperature, velocity, and pressure fields in the space domain. The coding is conducted in MATLAB®, and the flow chart of the method is provided. It was noted that the convection was more dominant than the diffusion.

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“…Liang and Rogers (1993) highlighted four different conceptual uses of them in vibration control related to the internal friction of martensite, the hysteresis of phase transformations, the stiffness difference of martensite and austenite and the principle of temperature actuation. Borges et al (2013) used SMA springs together with a fuzzy controller to reduce vibrations of a rotor-bearing system when crossing a critical speed. Han et al (2006) strengthened a slender structure towards buckling using an SMA spring.…”

Section: Introductionmentioning

confidence: 99%

Modelling, characterisation and uncertainties of stabilised pseudoelastic shape memory alloy helical springs

Enemark¹,

Santos²,

Savi

2016

Journal of Intelligent Material Systems and Structures

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The thermo-mechanical behaviour of pseudoelastic shape memory alloy helical springs is of concern discussing stabilised and cyclic responses. Constitutive description of the shape memory alloy is based on the framework developed by Lagoudas and co-workers incorporating two modifications related to hardening and sub-loop functions designated by Bézier curves. The spring model takes into account both bending and torsion of the spring wire, thus representing geometrical non-linearities. Simplified models are explored showing that a single point in the wire cross section is enough to represent the global spring behaviour in spite of complex stress–strain distributions. The experiments are carried out considering different deflection amplitudes, frequencies and ambient temperatures, which influence the spring behaviour to different extents. The model is fitted against a calibration data set resulting in 1.3% residual standard deviation relative to the full range force. Compared to the validation data set, the errors are below 10% relative to the full range of the complex modulus. Uncertainty analysis of the model parameters using a Markov chain Monte Carlo technique shows low to high parameter correlation, and the relative uncertainties are less than ±12%. Both the heat capacity and the convection coefficient are clearly identifiable from the performed experiments.

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The cooling of the pressing device in the glass industry

Cited by 4 publications

References 4 publications

Numerical solution of the pressing devices shape optimization problem in the glass industry

Numerical solution of the pressing devices shape optimization problem in the glass industry

Conjugate Heat Transfer Model Based on SIMPLE and Coupled Energy and Heat Equations

Modelling, characterisation and uncertainties of stabilised pseudoelastic shape memory alloy helical springs

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