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Dr. Mariano Pierantozzi
Università “G. d’Annunzio” di Chieti-Pescara

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0 Surface Tension
0 Thermo
0 Viscosity
0 thermal conductivity
0 Refrigerants

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Surface Tension
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Viscosity

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Journal article
Published: 15 March 2021 in Molecules
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An artificial neural network model is proposed for the surface tension of liquid organic fatty acids covering a wide temperature range. A set of 2051 data collected for 98 acids (including carboxylic, aliphatic, and polyfunctional) was considered for the training, testing, and prediction of the resulting network model. Different architectures were explored, with the final choice giving the best results, in which the input layer has the reduced temperature (temperature divided by the critical point temperature), boiling temperature, and acentric factor as an independent variable, a 41-neuron hidden layer, and an output layer consisting of one neuron. The overall absolute percentage deviation is 1.33%, and the maximum percentage deviation is 14.53%. These results constitute a major improvement over the accuracy obtained using corresponding-states correlations from the literature.

ACS Style

Mariano Pierantozzi; Ángel Mulero; Isidro Cachadiña. Surface Tension of Liquid Organic Acids: An Artificial Neural Network Model. Molecules 2021, 26, 1636 .

AMA Style

Mariano Pierantozzi, Ángel Mulero, Isidro Cachadiña. Surface Tension of Liquid Organic Acids: An Artificial Neural Network Model. Molecules. 2021; 26 (6):1636.

Chicago/Turabian Style

Mariano Pierantozzi; Ángel Mulero; Isidro Cachadiña. 2021. "Surface Tension of Liquid Organic Acids: An Artificial Neural Network Model." Molecules 26, no. 6: 1636.

Journal article
Published: 12 August 2020 in Applied Sciences
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The COVID-19 pandemic is changing people’s habits and behaviors and will reshape city layout and management. Among the different areas of research to be explored, the paper outlines first inputs to use the COVID-19 health crisis as a “window of opportunity” to trigger a sustainable transition of urban living environments, through actions to reshape and territorial organization after COVID-19 and in preparation for future health. Before having a vaccine or medications that ensure a non-lethal disease course, there will be a phase of responsibility and coexistence with the virus. It will be a period whose duration experts are still unable to quantify. What changes in the city organization, behaviors and uses of spaces will we observe in the living environments? Will this lead to a sustainability transition? The paper proposes a qualitative review to investigate how the droplet might travel through the air and how COVID-19 has spread in different urban contexts to outline a comprehensive reflection on the future of the city and strategies for more resilient communities and territories. To achieve this goal, the paper proposes the need of a comparison between skills related to physics aspects, such as fluid dynamics (to assess how droplets spread) and skills related to architectural, urban and territorial design (to evaluate the conditions of indoor and outdoor living environments).

ACS Style

Ilenia Pierantoni; Mariano Pierantozzi; Massimo Sargolini. COVID 19—A Qualitative Review for the Reorganization of Human Living Environments. Applied Sciences 2020, 10, 5576 .

AMA Style

Ilenia Pierantoni, Mariano Pierantozzi, Massimo Sargolini. COVID 19—A Qualitative Review for the Reorganization of Human Living Environments. Applied Sciences. 2020; 10 (16):5576.

Chicago/Turabian Style

Ilenia Pierantoni; Mariano Pierantozzi; Massimo Sargolini. 2020. "COVID 19—A Qualitative Review for the Reorganization of Human Living Environments." Applied Sciences 10, no. 16: 5576.

Journal article
Published: 17 May 2020 in International Journal of Refrigeration
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This paper presents a literature survey of the experimental thermal conductivity data for environmentally friendly refrigerants, namely HydroFluoroOlefins (HFOs) and HydroChloroFluoroOlefins (HCFOs), in the liquid phase. A total of 2073 experimental data for six alternative refrigerants, i.e. R1233zd(E), R1234yf, R1234ze(E), R1234ze(Z), R1224yd(Z), and R1336mzz(Z), was collected in the temperature range from 203.18 K to 434.99 K and in the pressure range from 0.10 MPa to 66.62 MPa. Literature correlations not considering the pressure dependence were compared for reduced pressures lower than 1. Di Nicola et al. (2014a) correlation was re-fitted and new coefficients expressly dedicated to low global warming potential refrigerants were given. The proposed equation gives an overall deviation of 1.78% for the data measured at reduced pressure up to 1. The liquid thermal conductivity dependence on pressure was also considered adding new terms on Di Nicola et al. (2014a) correlation and on Latini and Sotte (2012) correlation. The proposed equations give overall deviation of 1.45% and 1.99%, respectively, for the complete dataset.

ACS Style

Sebastiano Tomassetti; Gianluca Coccia; Mariano Pierantozzi; Giovanni Di Nicola. Correlations for liquid thermal conductivity of low GWP refrigerants in the reduced temperature range 0.4 to 0.9 from saturation line to 70 MPa. International Journal of Refrigeration 2020, 117, 358 -368.

AMA Style

Sebastiano Tomassetti, Gianluca Coccia, Mariano Pierantozzi, Giovanni Di Nicola. Correlations for liquid thermal conductivity of low GWP refrigerants in the reduced temperature range 0.4 to 0.9 from saturation line to 70 MPa. International Journal of Refrigeration. 2020; 117 ():358-368.

Chicago/Turabian Style

Sebastiano Tomassetti; Gianluca Coccia; Mariano Pierantozzi; Giovanni Di Nicola. 2020. "Correlations for liquid thermal conductivity of low GWP refrigerants in the reduced temperature range 0.4 to 0.9 from saturation line to 70 MPa." International Journal of Refrigeration 117, no. : 358-368.

Review
Published: 16 March 2020 in Applied Sciences
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The most commonly used refrigerants are potent greenhouse gasses that can contribute to climate change. Hydro-Fluoro-Olefins are low Global Warming Potential fluids. A summary of our experimental research activity on the thermodynamic properties of two environmentally friendly Hydro-Fluoro-Olefins, namely R1234yf and R1234ze(E), is reported. In particular, the measurements were performed with an isochoric apparatus and the apparatus specifically built to reach temperatures down to about 100 K. The data elaboration confirms the validity of the choice and that R1234yf and R1234ze(E) can be adopted in many domestic applications. Moreover, considering the reduction of the flammability issues of R1234yf and R1234ze(E), the properties of binary systems containing these fluids and carbon dioxide were analyzed. The presented mixtures could be very interesting for low-temperature applications such as cascade cycles.

ACS Style

Mariano Pierantozzi; Sebastiano Tomassetti; Giovanni Di Nicola. Climate Change and Refrigerants: Thermodynamic Properties of Low-GWP Fluids for Domestic Applications and Binary Systems for Low-Temperature Options. Applied Sciences 2020, 10, 2014 .

AMA Style

Mariano Pierantozzi, Sebastiano Tomassetti, Giovanni Di Nicola. Climate Change and Refrigerants: Thermodynamic Properties of Low-GWP Fluids for Domestic Applications and Binary Systems for Low-Temperature Options. Applied Sciences. 2020; 10 (6):2014.

Chicago/Turabian Style

Mariano Pierantozzi; Sebastiano Tomassetti; Giovanni Di Nicola. 2020. "Climate Change and Refrigerants: Thermodynamic Properties of Low-GWP Fluids for Domestic Applications and Binary Systems for Low-Temperature Options." Applied Sciences 10, no. 6: 2014.

Journal article
Published: 01 November 2019 in International Journal of Refrigeration
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ACS Style

Sebastiano Tomassetti; Gianluca Coccia; Mariano Pierantozzi; Giorgio Passerini; Giovanni Di Nicola. Solid–liquid equilibria for the R32 + R1234ze(E) binary system. International Journal of Refrigeration 2019, 107, 128 -134.

AMA Style

Sebastiano Tomassetti, Gianluca Coccia, Mariano Pierantozzi, Giorgio Passerini, Giovanni Di Nicola. Solid–liquid equilibria for the R32 + R1234ze(E) binary system. International Journal of Refrigeration. 2019; 107 ():128-134.

Chicago/Turabian Style

Sebastiano Tomassetti; Gianluca Coccia; Mariano Pierantozzi; Giorgio Passerini; Giovanni Di Nicola. 2019. "Solid–liquid equilibria for the R32 + R1234ze(E) binary system." International Journal of Refrigeration 107, no. : 128-134.

Journal article
Published: 08 April 2019 in Fluid Phase Equilibria
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The Boyle temperature represents the temperature at which a real gas behaves more like an ideal gas. It is an useful thermodynamic parameter but it is difficult to measure experimentally. Thus, in this work we provide the Boyle temperatures of 16 pure gases, namely: argon, carbon dioxide, carbon monoxide, deuterium, helium-3, helium-4, hydrogen, krypton, methane, neon, nitric oxide, nitrogen, oxygen, tetrafluoromethane, tritium and xenon. The Boyle temperatures of the gases were determined by setting to zero their second virial coefficient (B) functions. Starting from 1663 available experimental data of B, an artificial neural network (ANN) was trained to correlate the second virial coefficient of the gases to two parameters: the reduced temperature and the critical molar volume. In order to obtain results as accurate as possible, different ANN configurations were tested, with variable numbers of neurons/hidden layers and up to 10000 iterations. It was found that the best configuration consists of 2 hidden layers with 24 neurons each. The ANN root-mean-square error was compared to those of other correlations available in literature and resulted to be very low, being equal to 2.74 cm3/mol. The temperatures determined by setting the ANN mapping of B to zero are comparable to those obtained from accurate curve fittings and, by virtue of their low deviations, can be adopted for calculation and as reference for experimental measures.

ACS Style

Gianluca Coccia; Giovanni Di Nicola; Sebastiano Tomassetti; Mariano Pierantozzi; Giorgio Passerini. Determination of the Boyle temperature of pure gases using artificial neural networks. Fluid Phase Equilibria 2019, 493, 36 -42.

AMA Style

Gianluca Coccia, Giovanni Di Nicola, Sebastiano Tomassetti, Mariano Pierantozzi, Giorgio Passerini. Determination of the Boyle temperature of pure gases using artificial neural networks. Fluid Phase Equilibria. 2019; 493 ():36-42.

Chicago/Turabian Style

Gianluca Coccia; Giovanni Di Nicola; Sebastiano Tomassetti; Mariano Pierantozzi; Giorgio Passerini. 2019. "Determination of the Boyle temperature of pure gases using artificial neural networks." Fluid Phase Equilibria 493, no. : 36-42.

Journal article
Published: 15 November 2018 in Fluid Phase Equilibria
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This study presents a method to calculate the surface tension of a wide variety of organic carboxylic-based acids molecules starting from the experimental data of the liquid viscosity. The first step of this research was a data collection and then an accurate selection of experimental sources for the calculation of surface tension. Besides, in order to build two different but comparable databanks, the experimental points were regressed with simple equations at the same reduced temperature range, spanning from 0.35 to 0.75. As a final step, the original relationship of Pelofsky between the natural logarithm of surface tension and the inverse of viscosity was changed to better describe the property under investigation. The simple modification of adding the reduced temperature as parameter allowed to achieve an AAD of 1.24% for the whole dataset that contains 22 fluids with 170 surface tension data and 379 liquid viscosity experimental data.

ACS Style

Mariano Pierantozzi; Giovanni Di Nicola. Surface tension correlation of carboxylic acids from liquid viscosity data. Fluid Phase Equilibria 2018, 482, 118 -125.

AMA Style

Mariano Pierantozzi, Giovanni Di Nicola. Surface tension correlation of carboxylic acids from liquid viscosity data. Fluid Phase Equilibria. 2018; 482 ():118-125.

Chicago/Turabian Style

Mariano Pierantozzi; Giovanni Di Nicola. 2018. "Surface tension correlation of carboxylic acids from liquid viscosity data." Fluid Phase Equilibria 482, no. : 118-125.

Journal article
Published: 01 August 2018 in Solar Energy
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Clear-sky conditions are an essential need to allow proper high-temperature solar cooking. Moreover, it is not an easy task to accomplish evening cooking, especially during wintertime when solar radiation is available only for a few hours. A solution to bypass these drawbacks lies in adopting a cooker provided with a thermal storage unit. The storage unit proposed in this work is a double-walled vessel composed by two stainless steel cylindrical pots assembled concentrically. The annular space between the pots was loaded with 4 kg of phase change material (PCM) based on a ternary mixture of nitrite and nitrate salts (solar salt: 53 wt% KNO3, 40 wt% NaNO2, 7 wt% NaNO3). The thermal storage unit was characterized by means of a test rig including a high-concentration-ratio (10.78) solar box cooker. Four different sets of 14 experimental tests, divided into a heating and a cooling phase, were carried out to assess the performance of the solar cooker with the storage unit. It was found that the PCM thermal storage significantly improves the load thermal stabilization when solar radiation is not available: the load cooling time in the range 170–130 °C was determined to be from 65.12% to 107.98% higher than that without the solar-salt-based PCM thermal storage, proving the effectiveness of the proposed solution.

ACS Style

Gianluca Coccia; Giovanni Di Nicola; Sebastiano Tomassetti; Mariano Pierantozzi; Manila Chieruzzi; Luigi Torre. Experimental validation of a high-temperature solar box cooker with a solar-salt-based thermal storage unit. Solar Energy 2018, 170, 1016 -1025.

AMA Style

Gianluca Coccia, Giovanni Di Nicola, Sebastiano Tomassetti, Mariano Pierantozzi, Manila Chieruzzi, Luigi Torre. Experimental validation of a high-temperature solar box cooker with a solar-salt-based thermal storage unit. Solar Energy. 2018; 170 ():1016-1025.

Chicago/Turabian Style

Gianluca Coccia; Giovanni Di Nicola; Sebastiano Tomassetti; Mariano Pierantozzi; Manila Chieruzzi; Luigi Torre. 2018. "Experimental validation of a high-temperature solar box cooker with a solar-salt-based thermal storage unit." Solar Energy 170, no. : 1016-1025.

Journal article
Published: 06 June 2018 in Chemical Engineering Communications
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ACS Style

Giovanni Di Nicola; Gianluca Coccia; Mariano Pierantozzi; Sebastiano Tomassetti; Roberta Cocci Grifoni. Artificial neural network for the second virial coefficient of organic and inorganic compounds: An ANN for B of organic and inorganic compounds. Chemical Engineering Communications 2018, 205, 1077 -1095.

AMA Style

Giovanni Di Nicola, Gianluca Coccia, Mariano Pierantozzi, Sebastiano Tomassetti, Roberta Cocci Grifoni. Artificial neural network for the second virial coefficient of organic and inorganic compounds: An ANN for B of organic and inorganic compounds. Chemical Engineering Communications. 2018; 205 (8):1077-1095.

Chicago/Turabian Style

Giovanni Di Nicola; Gianluca Coccia; Mariano Pierantozzi; Sebastiano Tomassetti; Roberta Cocci Grifoni. 2018. "Artificial neural network for the second virial coefficient of organic and inorganic compounds: An ANN for B of organic and inorganic compounds." Chemical Engineering Communications 205, no. 8: 1077-1095.

Journal article
Published: 01 May 2018 in Fluid Phase Equilibria
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This work presents a method to calculate the surface tension of the inorganic family of silicon-based molecules starting from the knowledge of the liquid viscosity. As a first step, the raw experimental data of silanes were collected from the data available in the DIPPR database, both for surface tension and liquid viscosity. After the data analysis, a selection of experimental data was considered for the calculations. Furthermore, to create two homogeneous databanks, the original experimental data were regressed at the same reduced temperature range, spanning from 0.3 to 0.8. The original Pelofsky empirical relationship between the natural logarithm of surface tension and the inverse of viscosity was modified to represent the surface tension of silanes starting from the viscosity of liquids. The obtained results produced an AAD = 1.13% calculated on the entire dataset.

ACS Style

Giovanni Di Nicola; Mariano Pierantozzi; Sebastiano Tomassetti; Gianluca Coccia. Surface tension calculation from liquid viscosity data of silanes. Fluid Phase Equilibria 2018, 463, 11 -17.

AMA Style

Giovanni Di Nicola, Mariano Pierantozzi, Sebastiano Tomassetti, Gianluca Coccia. Surface tension calculation from liquid viscosity data of silanes. Fluid Phase Equilibria. 2018; 463 ():11-17.

Chicago/Turabian Style

Giovanni Di Nicola; Mariano Pierantozzi; Sebastiano Tomassetti; Gianluca Coccia. 2018. "Surface tension calculation from liquid viscosity data of silanes." Fluid Phase Equilibria 463, no. : 11-17.

Journal article
Published: 01 March 2018 in Fluid Phase Equilibria
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The thermal conductivity value for a material measures its attitude to transfer heat, though, not many values coming from experimental measurements of the thermal conductivity of different materials are available to the scientific community, which needs accurate model to predict such value from other observations. In this work, we trained and evaluated a Multi-Layered Perceptron architecture for a regression task in which the thermal conductivity for a set of families of refrigerants at the liquid state is predicted from their acentric factor, critical pressure, reduced temperature, and dipole moment, at atmospheric pressure condition. Such model has been proven capable to capture deep regularities over the whole data set and also across different families of refrigerants. Compared to other well-known equations from the literature for the same task, our model significantly outperformed all of them.

ACS Style

Mariano Pierantozzi; Giulio Petrucci; Pierantozzi Mariano; Petrucci Giulio. Modeling thermal conductivity in refrigerants through neural networks. Fluid Phase Equilibria 2018, 460, 36 -44.

AMA Style

Mariano Pierantozzi, Giulio Petrucci, Pierantozzi Mariano, Petrucci Giulio. Modeling thermal conductivity in refrigerants through neural networks. Fluid Phase Equilibria. 2018; 460 ():36-44.

Chicago/Turabian Style

Mariano Pierantozzi; Giulio Petrucci; Pierantozzi Mariano; Petrucci Giulio. 2018. "Modeling thermal conductivity in refrigerants through neural networks." Fluid Phase Equilibria 460, no. : 36-44.

Journal article
Published: 01 March 2018 in Journal of Theoretical and Computational Chemistry
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This work presents a modification of the Kardos equation specifically oriented to refrigerants. The proposed equation was tested for both liquid and vapor thermal conductivities along saturation of the main refrigerants. In the Kardos equation, the thermal conductivity of liquids is a function of the density of the liquid, heat capacity at constant pressure, speed of sound in the liquid and average distance between the centers of the molecules. In the present version, the liquid molar volume and the distance between the surfaces of adjacent molecules were replaced by two constant parameters widely available for all the fluids: the critical density and radius of gyration. In this way, the resulting equation is much simpler, still being a scaled equation. In the proposed equations, an adimensional factor was regressed to minimize the deviations. The final equations were able to predict the thermal conductivity with AAD[Formula: see text] for liquids and AAD[Formula: see text] for vapors.

ACS Style

Giovanni Di Nicola; Gianluca Coccia; Sebastiano Tomassetti; Mariano Pierantozzi. A modified Kardos equation for the thermal conductivity of refrigerants. Journal of Theoretical and Computational Chemistry 2018, 17, 1850012 .

AMA Style

Giovanni Di Nicola, Gianluca Coccia, Sebastiano Tomassetti, Mariano Pierantozzi. A modified Kardos equation for the thermal conductivity of refrigerants. Journal of Theoretical and Computational Chemistry. 2018; 17 (2):1850012.

Chicago/Turabian Style

Giovanni Di Nicola; Gianluca Coccia; Sebastiano Tomassetti; Mariano Pierantozzi. 2018. "A modified Kardos equation for the thermal conductivity of refrigerants." Journal of Theoretical and Computational Chemistry 17, no. 2: 1850012.

Journal article
Published: 01 February 2018 in International Journal of Refrigeration
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ACS Style

Giovanni Di Nicola; Gianluca Coccia; Mariano Pierantozzi; Sebastiano Tomassetti. Equations for the surface tension of low GWP halogenated alkene refrigerants and their blends. International Journal of Refrigeration 2018, 86, 410 -421.

AMA Style

Giovanni Di Nicola, Gianluca Coccia, Mariano Pierantozzi, Sebastiano Tomassetti. Equations for the surface tension of low GWP halogenated alkene refrigerants and their blends. International Journal of Refrigeration. 2018; 86 ():410-421.

Chicago/Turabian Style

Giovanni Di Nicola; Gianluca Coccia; Mariano Pierantozzi; Sebastiano Tomassetti. 2018. "Equations for the surface tension of low GWP halogenated alkene refrigerants and their blends." International Journal of Refrigeration 86, no. : 410-421.

Journal article
Published: 01 January 2018 in International Journal of Refrigeration
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ACS Style

Shahin Khosharay; Mariano Pierantozzi; Giovanni Di Nicola. Modeling investigation on the viscosity of pure refrigerants and their liquid mixtures by using the Patel–Teja viscosity equation of state. International Journal of Refrigeration 2018, 85, 255 -267.

AMA Style

Shahin Khosharay, Mariano Pierantozzi, Giovanni Di Nicola. Modeling investigation on the viscosity of pure refrigerants and their liquid mixtures by using the Patel–Teja viscosity equation of state. International Journal of Refrigeration. 2018; 85 ():255-267.

Chicago/Turabian Style

Shahin Khosharay; Mariano Pierantozzi; Giovanni Di Nicola. 2018. "Modeling investigation on the viscosity of pure refrigerants and their liquid mixtures by using the Patel–Teja viscosity equation of state." International Journal of Refrigeration 85, no. : 255-267.

Research article
Published: 22 December 2017 in Journal of Chemical & Engineering Data
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This manuscript presents for trans-1-chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)] 94 compressed liquid density data and 60 vapor phase PvT data. The compressed liquid density data were measured along nine isotherms in increments of 10 K from 283.15 to 363.15 K for pressures from near saturation to 35 MPa. The vapor phase PvT data were measured along seven isochores for temperatures from 308.15 to 373.15 K for pressures approximately from 167 to 693 kPa. The paper also includes correlations for saturated liquid density, compressed liquid density, and PvT in the vapor phase.

ACS Style

Laura Fedele; Mariano Pierantozzi; Giovanni Di Nicola; J. Steven Brown; Sergio Bobbo. Compressed Liquid Density and Vapor Phase PvT Measurements of trans-1-Chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)]. Journal of Chemical & Engineering Data 2017, 63, 225 -232.

AMA Style

Laura Fedele, Mariano Pierantozzi, Giovanni Di Nicola, J. Steven Brown, Sergio Bobbo. Compressed Liquid Density and Vapor Phase PvT Measurements of trans-1-Chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)]. Journal of Chemical & Engineering Data. 2017; 63 (1):225-232.

Chicago/Turabian Style

Laura Fedele; Mariano Pierantozzi; Giovanni Di Nicola; J. Steven Brown; Sergio Bobbo. 2017. "Compressed Liquid Density and Vapor Phase PvT Measurements of trans-1-Chloro-3,3,3-trifluoroprop-1-ene [R1233zd(E)]." Journal of Chemical & Engineering Data 63, no. 1: 225-232.

Chapter
Published: 15 December 2017 in The Life and Afterlife of Gay Neighborhoods
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In recent decades, the city and the broader concept of the territory have experienced a metamorphosis: from usable physical resources and controllable, designable space to a new interpretation of the urban system. This system is complex, so the inadequacy of linear planning becomes clear when faced with an increasingly strong need for multiple intelligible responses. The ideal of the city as a “single element” has been substituted by the concept of “system city”, going beyond the model of a city that can be decomposed and simplified to attain an interpretation of the system as a “complex unit”.

ACS Style

Mariano Pierantozzi; Roberta Cocci Grifoni. The QLandQLife Tool. The Life and Afterlife of Gay Neighborhoods 2017, 221 -225.

AMA Style

Mariano Pierantozzi, Roberta Cocci Grifoni. The QLandQLife Tool. The Life and Afterlife of Gay Neighborhoods. 2017; ():221-225.

Chicago/Turabian Style

Mariano Pierantozzi; Roberta Cocci Grifoni. 2017. "The QLandQLife Tool." The Life and Afterlife of Gay Neighborhoods , no. : 221-225.

Research article
Published: 08 December 2017 in Journal of Chemical & Engineering Data
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This paper provides eighty-four PvTx data points for binary blends of trans-1-chloro-3,3,3-trifluoroprop-1-ene (R1233zd(E)) and isobutane (R600a) in the vapor phase and ninety-seven PvTx data points for binary blends of cis-1,3,3,3-tetrafluoroprop-1-ene (R1234ze(Z)) and R600a in the vapor phase. The R1233zd(E)/R600a data were recorded along six isochores (0.0499, 0.0536, 0.0927, 0.1263, 0.1431, 0.1744) m3·kg–1 for temperatures (303 < T < 383) K for six R600a mole fractions (0.125, 0.453, 0.564, 0.644, 0.746, 0.865). The R1234ze(Z)/R600a blends were recorded along five isochores (0.0759, 0.0907, 0.1272, 0.1288, 0.1520) m3·kg–1 for temperatures (303 < T < 383) K for six R600a mole fractions (0.118, 0.222, 0.427, 0.510, 0.658, 0.725). The data were regressed using several equations of state.

ACS Style

J. Steven Brown; Gianluca Coccia; Sebastiano Tomassetti; Mariano Pierantozzi; Giovanni Di Nicola. Vapor Phase PvTx Measurements of Binary Blends of trans-1-Chloro-3,3,3-trifluoroprop-1-ene + Isobutane and cis-1,3,3,3-Tetrafluoroprop-1-ene + Isobutane. Journal of Chemical & Engineering Data 2017, 63, 169 -177.

AMA Style

J. Steven Brown, Gianluca Coccia, Sebastiano Tomassetti, Mariano Pierantozzi, Giovanni Di Nicola. Vapor Phase PvTx Measurements of Binary Blends of trans-1-Chloro-3,3,3-trifluoroprop-1-ene + Isobutane and cis-1,3,3,3-Tetrafluoroprop-1-ene + Isobutane. Journal of Chemical & Engineering Data. 2017; 63 (1):169-177.

Chicago/Turabian Style

J. Steven Brown; Gianluca Coccia; Sebastiano Tomassetti; Mariano Pierantozzi; Giovanni Di Nicola. 2017. "Vapor Phase PvTx Measurements of Binary Blends of trans-1-Chloro-3,3,3-trifluoroprop-1-ene + Isobutane and cis-1,3,3,3-Tetrafluoroprop-1-ene + Isobutane." Journal of Chemical & Engineering Data 63, no. 1: 169-177.

Journal article
Published: 01 October 2017 in Fluid Phase Equilibria
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ACS Style

Ángel Mulero; M. Pierantozzi; Isidro Cachadiña; G. Di Nicola. An Artificial Neural Network for the surface tension of alcohols. Fluid Phase Equilibria 2017, 449, 28 -40.

AMA Style

Ángel Mulero, M. Pierantozzi, Isidro Cachadiña, G. Di Nicola. An Artificial Neural Network for the surface tension of alcohols. Fluid Phase Equilibria. 2017; 449 ():28-40.

Chicago/Turabian Style

Ángel Mulero; M. Pierantozzi; Isidro Cachadiña; G. Di Nicola. 2017. "An Artificial Neural Network for the surface tension of alcohols." Fluid Phase Equilibria 449, no. : 28-40.

Journal article
Published: 01 October 2017 in Journal of Thermophysics and Heat Transfer
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This work presents a new formula to calculate the liquid viscosity of the inorganic family of silicon-based molecules. As a first step, the raw viscosity experimental data of silanes were collected from the data available in the Design Institute for Physical Properties database. After the data analysis, a selection of experimental data was considered for the calculations. The selected data were statistically analyzed, and a correlation was finally proposed. The correlation was based on the corresponding states theory and adopted three input parameters as fluid constants: the radius of gyration, the liquid molar volume at 25°C, and the critical temperature. Particularly relevant was the introduction of the radius of gyration as a fluid parameter; that is a noticeable difference with respect to other previous literature models. The ability of the model to predict viscosity was tested for the silanes for which only one datum point was present in the database and that were not considered during the regression. The validation gave satisfactory results. The selected data were also analyzed with the most common temperature-dependent correlations.

ACS Style

Giovanni Di Nicola; Gianluca Coccia; Lorenza Malvagi; Mariano Pierantozzi. New Equation for the Liquid Viscosity of Silanes. Journal of Thermophysics and Heat Transfer 2017, 31, 832 -840.

AMA Style

Giovanni Di Nicola, Gianluca Coccia, Lorenza Malvagi, Mariano Pierantozzi. New Equation for the Liquid Viscosity of Silanes. Journal of Thermophysics and Heat Transfer. 2017; 31 (4):832-840.

Chicago/Turabian Style

Giovanni Di Nicola; Gianluca Coccia; Lorenza Malvagi; Mariano Pierantozzi. 2017. "New Equation for the Liquid Viscosity of Silanes." Journal of Thermophysics and Heat Transfer 31, no. 4: 832-840.

Journal article
Published: 01 October 2017 in Solar Energy
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Solar cooking is considered one of the most attractive ways to utilize solar energy. Therefore, in this work a high concentration ratio (11.12) solar box cooker prototype was manufactured and tested. The cooker has a cooking chamber with a glass cover on the top and is composed by two rows of booster mirrors. The prototype allows both an azimuthal and zenithal manual orientation. A test bench used to characterize the cooker performance is then described. Experimental tests without load were carried out to evaluate the maximum cooker temperature. Tests with load, conducted using aluminum vessels containing a certain amount of water, were accomplished with both standard vessels and black ones, and with one or two vessels. Additional tests were carried out with peanut oil. Using this fluid, temperatures higher than the water ones were achieved (>200 °C). Results show that the cooker is able to cook at high temperature with good optical efficiency and thermal insulation.

ACS Style

Gianluca Coccia; Giovanni Di Nicola; Mariano Pierantozzi; Sebastiano Tomassetti; Alessia Aquilanti. Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors. Solar Energy 2017, 155, 781 -792.

AMA Style

Gianluca Coccia, Giovanni Di Nicola, Mariano Pierantozzi, Sebastiano Tomassetti, Alessia Aquilanti. Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors. Solar Energy. 2017; 155 ():781-792.

Chicago/Turabian Style

Gianluca Coccia; Giovanni Di Nicola; Mariano Pierantozzi; Sebastiano Tomassetti; Alessia Aquilanti. 2017. "Design, manufacturing, and test of a high concentration ratio solar box cooker with multiple reflectors." Solar Energy 155, no. : 781-792.