Determination of the Variations on Battery Consumption According to Temperature and Relative Humidity of Silicon Labs Si7021Wireless Sensor Systems in Greenhouse

Abstract The moisture content of the subfloor has to be determined before installation to avoid damage to the floor covering. Only if readiness for layering is reached, can an installation without damage be expected in all cases. In general, three approaches exist to measure residual water content: determination of moisture content, determination of water release, or determination of the corresponding relative humidity. All three approaches are tested under laboratory conditions at eight screed types including two samples thicknesses in each case. Moisture content and water release are measured by sample weighing, the corresponding relative humidity is measured by embedded sensors. All three approaches are compared and correlated. The evaluations show only a weak correlation and, in several cases, contradicting results. Samples are considered ready for layering and not ready for layering at the same time, depending on the chosen approach. Due to these contradicting results, a general threshold for a risk of damage cannot be derived based on these measurements. Furthermore, the experiment demonstrates that the measurement of corresponding relative humidity is independent of the screed type or screed composition considered. This makes humidity measurement a potentially very promising approach for the installation of material moisture monitoring systems.

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Corrosion Analysis of a Fiber-Optic Transceiver Housing

10.1115/imece2001/epp-24721 ◽

2001 ◽

Author(s):

J. H. Lau ◽

C. L. Jiaa ◽

S. J. Erasmus

Keyword(s):

Relative Humidity ◽

Corrosion Rate ◽

Cross Sections ◽

Weight Change ◽

Fiber Optic ◽

Die Casting ◽

Extinction Ratio ◽

Optical Power ◽

Zinc Alloy

Abstract The corrosion responses of a fiber-optic transceiver’s housing with zinc alloy die casting material are investigated in this study. Emphasis is placed on the determination of the weight change and corrosion rate of the housing when it is subjected to a 85% relative humidity and 85°C temperature (85%RH/85°C) test condition. Also, the average light optical power, receiver sensitivity, extinction ratio, and mask margin of transceiver modules subjected to 85%RH/85°C and 3.47V at 500, 1000, 1500, and 1600 hours are provided. Furthermore, metallography is performed on the surfaces and cross sections of the housing. Finally, measurements are made of the thickness of the oxide layer on the surfaces of the fiber-optic transceiver housing.

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Human Thermal Comfort Situation in the Goller (Lakes) District of Turkey

New Trends and Issues Proceedings on Advances Pure and Applied Sciences ◽

10.18844/gjpaas.v0i7.3172 ◽

2016 ◽

pp. 137-144

Author(s):

Yuksel Guclu

Keyword(s):

Relative Humidity ◽

Thermal Comfort ◽

Human Health ◽

Air Temperature ◽

Mediterranean Region ◽

Human Thermal Comfort ◽

Almost All ◽

Relative Humidity Data ◽

Recreation Activities

Abstract In this study, the determination of the human thermal comfort situation in the Goller District (in the Mediterranean Region) of Turkey has been aimed. In the direction of the aim, the air temperature and relative humidity data of total 11 meteorology stations have been examined according to The Thermo-hygrometric Index (THI) and the New Summer Simmer Index (SSI). According to this, it has been determined that the thermal comfort conditions are not appropriate in the period of October-May on average monthly. The months of June and September are the most appropriate to almost all kinds of tourism and recreation activities in the outdoor in terms of thermal comfort. When THI and SSI indices’ values are evaluated together, the periods between 5th – 25th June and 29th August-16th September are the most appropriate periods in the study area on average in terms of the thermal comfort for the tourism and recreation activities in the outdoor. Keywords: Thermal comfort, human health, The Thermo-Hygrometric Index, The Summer Simmer Index, Goller District, Turkey.

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Determination of the Mass Diffusion Coefficient Based on the Relative Humidity Measured at the Back Face of the Sample During Unsteady Regimes

Drying Technology ◽

10.1080/07373937.2014.982253 ◽

2015 ◽

Vol 33 (9) ◽

pp. 1068-1075 ◽

Cited By ~ 28

Author(s):

Patrick Perré ◽

Floran Pierre ◽

Joël Casalinho ◽

Mehdi Ayouz

Keyword(s):

Diffusion Coefficient ◽

Relative Humidity ◽

Mass Diffusion ◽

Back Face ◽

Unsteady Regimes

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Wood Dimensional Changes due to Hygrothermal Behaviour

Defect and Diffusion Forum ◽

10.4028/www.scientific.net/ddf.365.172 ◽

2015 ◽

Vol 365 ◽

pp. 172-177

Author(s):

V.P. de Freitas ◽

João M.P.Q. Delgado ◽

N. Machado

Keyword(s):

Relative Humidity ◽

Linear Thermal Expansion ◽

Strong Variation ◽

Dimensional Changes ◽

Radial Shrinkage ◽

Dimension Stability ◽

Definition Of ◽

Hygrothermal Behaviour ◽

Shrinkage Coefficient

Wood has a strong hygroscopic behaviour, with a strong variation of moisture content and dimension stability caused by modifications of the relative humidity of the surrounding air. The properties that define the behaviour of wood facing temperature and moisture actions were studied in this work. Linear thermal expansion, hygroscopicity, shrinkage (tangential and radial shrinkage coefficient) and hygric expansion were given special attention.An experimental device was designed for testing wood samples, red oak. A series of tests was performed including the determination of hygric expansion coefficient and the definition of the sorption curve. This research made possible the evaluation of dimensional stability of wood in transient conditions of relative humidity.

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DETERMINATION OF THE CORRELATION BETWEEN INDIVIDUAL METEOROLOGICAL VALUES AT THE BEGINNING OF THE DEPOSITION OF ICE ON THE TERRITORY OF UKRAINE BY THE MONTHS OF THE COLD PERIOD OF THE YEAR DURING 2001-2013 AND THEIR SPATIAL DISTRIBUTION

Hydrology, hydrochemistry and hydroecology ◽

10.17721/2306-5680.2019.4.12 ◽

2019 ◽

pp. 140-151

Author(s):

S.I. Pyasetska ◽

N.P. Grebenyuk ◽

S.V. Savchuk

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Sea Level ◽

Meteorological Parameters ◽

Cold Period ◽

Sea Level Pressure ◽

Average Maximum ◽

Average Relative Humidity ◽

Maximum Minimum

The article presents the results of the study of the determination of the correlation connection between a number of meteorological values at the beginning of the deposition of ice on the wires of a standard ice-cream machine in certain months of the cold period of the year on the territory of Ukraine during 2001-2013. The research was conducted for 3 winter months, as well as for March and November. The pair of meteorological parameters have been determined at the beginning of the deposition of ice that have a statistically significant correlation coefficient and a spatial-temporal distribution of the distribution in certain months across the territory of Ukraine has been obtained. The most common variant of the statistically significant connection between individual meteorological parameters was the connection between the temperature of the water column (average, maximum, minimum) and relative humidity of air (average, maximum). Thus, for almost all months studied, a statistically significant correlation between the temperature of the vapor (average, maximum, minimum) and relative humidity of air (average, maximum) was established. For the winter months, the correlation coefficient of this connection was positive, and for March and November, it was negative. A widespread version of a statistically significant connection was the relationship between the air temperature (average, maximum, minimum) and the height of the snow cover. This connection for the months studied turned out to be negative. The variants of negative statistically significant connection between average wind speed and average relative humidity of air (January-February, December), average and maximum wind speed and sea-level pressure (November), and also between daily amount precipitation and snow (March), daily rainfall and wind speed (average, maximum), and pressure at sea level (November). During the months of the cold period of the year, statistically significant connections between the air temperature (average, maximum) and pressure at sea level (November), wind speed (average, maximum) and average humidity (January, December), pressure on sea levels and average relative humidity (March). Also, there were isolated cases of statistically significant correlation between snow and sea level pressure (December). The most frequently statistically significant connections between meteorological values at the dates of deposition of ice on the wires of a standard icing machine were observed at stations in the central, northeastern, eastern and separate southern regions.

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