Location: P.le Tecchio 80, corpo arretrato, 80125 Napoli
Responsible: prof. Rita Mastrullo, rita.mastrullo@unina.it

Fields of application

The research activity concerns the refrigeration and air conditioning fields, both for commercial/industrial and domestic purposes. The main objective regards the experimental evaluation of the thermo-hydraulic performances of the heat exchangers employed for these applications and the assessment of the prediction methods that can be used in the design process. This is of primary importance for the thermo-economical optimization of component of a refrigeration plant. The experimental activity may be carried out with innovative tubes and geometry, with new environmental-friendly refrigerants in compliance with the most recent limitations imposed by the European F-Gas Regulation. For these conditions, in facts, the effectiveness of the available prediction methods is not always guaranteed.

 Typical heat exchanger employed in air conditioning and refrigeration systems: Shell and tube heat exchangers (left) and a fin and tube heat exchanger (right)

Possible measurements

The Refrigeration Laboratory is equipped with an experimental facility for the evaluation of the two-phase flow boiling heat transfer coefficient and pressure drop inside tubes.

Condizioni operative

<style="text-align: justify;" data-mce-type="text/css">The test facility, shown in Figure 2, can be employed with all the fluids used in the refrigeration and air conditioning fields: HFC and HFC mixtures (R134a, R245fa, R32, R410A, R404A…), HFO and HFO mixtures (R1234yf, R1234ze, R452A…), HC (R290, R600a…). Additional substances may also be considered.

Photograph of the experimental apparatus (left) and a schematic representation (right) with relative parameters and measurement points

Possible saturation temperatures: Tsat: -10/+80 °C
Possible mass fluxes: G: 50-700 kg/m2 s
Heat fluxes: q: 0-120 kW/m2
Tube diameters: d ≤ 8 mm

Test section

Test section for the evaluation of the two-phase heat transfer coefficient and pressure drop with the main features

Stability analysis and measurement quality

The main variables are remotely controlled by means of a friendly user interface conceived with Labview software (see Figure), that allows the monitoring and control of the parameters of interest.

User interface developed with Labview software

The data recording may be permitted only when the expanded uncertainty of each variable, evaluated in real time, is below a chosen threshold.This procedure leads to high-quality experimental databases. Typical values of the results and operating parameters overall uncertainty are: Saturation temperature: ±0.07 °C , Mass flux: ±1.5 %, Heat flux: ±0.70 %, Heat transfer coefficient: ±10 %, Pressure gradient: ±1%. As an example, some results are shown in Figure: the heat transfer coefficient and the frictional pressure gradient are displayed as a function of the main operating parameters (heat flux q, mass flux G, saturation temperature Tsat and vapor quality x)

Some experimental results: Effect of the imposed heat flux on the average heat transfer coefficient of propane (left). Effect of the mass flux on the frictional pressure gradient for refrigerant R134a (right)

Assessment

The experimental trends are compared with the expected values calculated by using the prediction method available in scientific literature (see for instance Figure). The computation of the statistical parameters (such as the Mean Absolute Error MAE and the Mean Relative Error MRE) suggests which is the correlation that best fits the experimental data and therefore can be used as an effective design tool.

Experimental data compared with some prediction methods. Correlations of Wojtan et al. and Bertsch et al. used for refrigerant R134a (left). Statistical analysis of the Wojtan et al. prediction tool carried out with R134a experimental points

Calibration of available predictive methods

The correlations available in literature are aduste and modified according to the experimental data, in order to improve their predictive accuracy. An example is given in Figure.

Comparison between the experimental data and the prediction method of Wojtan et al. “as it is” (in green) and modified (in red)

Performance evaluation and modeling of small scale refrigeration systems

Experiments in both steady state and transient conditions performed with small scale refrigeration and heat pump systems. The performance of each element (compressors, heat exchangers, expansion valve and refrigeration cell) is evaluated by means of ad-hoc calibrated models.

Blast chiller and data acquisition system Total thermal conductance map as a function of air and refrigerants volumetric flow (up). Global system performance as a function of the pressure ratio and the non-dimensional rotating speed (down)

Evaluation of the thermal conductivity in steady state conditions for metals obtained with additive manufacturing

Experimental evaluation of the thermal conductivity for unconventional materials created through additive manufacturing technology. For these metals, the typical thermophysical properties (specific heat, density…) are unknown.

Measurable conductivity range: 1≤k≤100 W/m K

Operating temperatures: 5≤T≤150 °C

Measurement accuracy: u(k)≤5%

3D sketch of the experimental prototype for the evaluation of the thermal conductivity for innovative materials (up). Example of a numerical simulation for the temperature field in the prototype (down)

logo DII trasparenteDipartimento di Ingegneria Industriale

Università degli Studi di Napoli Federico II
Piazzale Tecchio 80 - 80125 Napoli (Italia)
via Claudio 21 - 80125 Napoli (Italia)

 

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