Performance predictions using Artificial Neural Network for isobutane flow in non-adiabatic capillary tubes

Heimel, Martin; Lang, Wolfgang; Almbauer, Raimund

doi:10.1016/j.ijrefrig.2013.08.018

Cited by 13 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The disadvantage of this approach is that the transient response of the whole system changes significantly because of the physical properties (relatively high thermal inertia, pressure drop) of the measuring device. Hence, a different validation approach, which has no influence on the working process, was chosen: The outlet mass flow rate of the condenser was computed using a validated, adiabatic capillary tube model (Heimel et al, 2014). The boundary conditions for the capillary tube model (pressure and enthalpy at the inlet; pressure at the outlet) were taken from the experimental investigations (see Figure 2).…”

Section: Validation Strategy Of the Condenser Modelmentioning

confidence: 99%

“…The mass flow rate at the inlet was derived from experiments. The mass flow rate at the outlet was computed by means of the capillary tube model by Heimel et al (2014). This validation approach is justified by the fact that the mass flow rates at the inlet and the outlet become identical after a certain period.…”

Section: Validation Strategy Of the Condenser Modelmentioning

confidence: 99%

See 1 more Smart Citation

Transient 1D heat exchanger model for the simulation of domestic cooling cycles working with R600a

Berger

Posch

Heimel

et al. 2015

Science and Technology for the Built Environment

View full text Add to dashboard Cite

Generally, domestic refrigerators and freezers are running in non-continuous operation mode most of the time, which is a necessity to match cooling capacity to thermal loads. In currently available domestic appliances this matching is realized either by on/off or variable frequency control of the hermetic compressor, leading to a repetitive and transient change of the system state. In case of longer compressor runtimes when cooling capacity demand is high (e.g. pull down cycles, initial operation) steady state operating conditions might be reached. The cycling transients cause losses in system efficiency, thus they should be reduced or avoided. To understand the complex transient physical processes and to optimize the cooling system efficiency, the use of numerical methods has turned out to be a promising approach. For this reason, a 1D heat exchanger model, which has been successfully implemented in a domestic cooling cycle simulation tool, is presented in this work. The heat exchanger model is a further development of the model being presented in Berger et al. (2012). The same mathematical framework is used for modeling the evaporator and condenser. In order to compute the void fraction, the pressure drop and the heat transfer in case of evaporation and condensation special empirical models, which are proposed in literature, have been implemented. Finally, the numerical predictions are compared to experimental data gained from a purpose-built test rig.

show abstract

Section: Validation Strategy Of the Condenser Modelmentioning

confidence: 99%

Section: Validation Strategy Of the Condenser Modelmentioning

confidence: 99%

Transient 1D heat exchanger model for the simulation of domestic cooling cycles working with R600a

Berger

Posch

Heimel

et al. 2015

Science and Technology for the Built Environment

View full text Add to dashboard Cite

show abstract

“…The best agreement was obtained under two-phase frictional multiplier based on the literature. M. Heimel et al [8] used the ANN method to predict the performance of non-adiabatic capillary tubes for isobutene flow. Because of in literature most of the correlations calculation were not capable to predict mass flow rate for non-choked in two phase flow at inlet operation condition.…”

Section: Introductionmentioning

confidence: 99%

Comparison Study Between Theoretical Analysis and Artificial Neural Network of the Capillary Tube

Freegah¹,

Hussain²,

Al‐Obaidi³

2021

Journal of Thermal Engineering

View full text Add to dashboard Cite

The main purpose of expansion devices is reduced the higher pressure of the working fluid from the condenser pressure to the evaporator pressure. There are several kinds of expansion devices, one of these types is capillary tube which is common utilized in small size refrigeration systems. In this work, the effect of the diameter of capillary tube and mass flow rate of the refrigerant on the physical properties of the refrigerant within the capillary tube have been conducted. Moreover, an artificial neural network (ANN) technique has been utilized in order to clarify the possibility of applying this theory to the effect of such parameters on the results of the capillary tube. The study has been shown that there is a very good agreement between experimental and numerical results. The diameter and mass flow rate have impact on the length of the capillary tube, increase diameter leads to increase the capillary tube length while increase mass flow rate leads to decrease the length. Furthermore, the results shown that ANN technique can be employed to study the effect of such as parameters that considered in this on length of capillary tube. So, it can be using latter technique with accuracy 95%.

show abstract

“…Due to its big range of each input variable and the fact that it gives back continuous results in any case, this tool is preferred over conventional correlations. More details about the functionality of ANN in this context can be taken fromHeimel et al (2014),Islamoglu et al (2005),Zhang (2005) orZhang and Zhao (2007).…”

mentioning

confidence: 99%

Transient cycle simulation of domestic appliances and experimental validation

Heimel

Berger

Posch

et al. 2016

International Journal of Refrigeration

View full text Add to dashboard Cite

Performance predictions using Artificial Neural Network for isobutane flow in non-adiabatic capillary tubes

Cited by 13 publications

References 24 publications

Transient 1D heat exchanger model for the simulation of domestic cooling cycles working with R600a

Transient 1D heat exchanger model for the simulation of domestic cooling cycles working with R600a

Comparison Study Between Theoretical Analysis and Artificial Neural Network of the Capillary Tube

Transient cycle simulation of domestic appliances and experimental validation

Contact Info

Product

Resources

About