The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
A. Peruzzi - One of the best experts on this subject based on the ideXlab platform.
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Climatic Chamber for dew point temperatures up to 150 c
Metrologia, 2018Co-Authors: R. Bosma, R J Pouw, W Van Schaik, A. PeruzziAbstract:A traceable humidity generator for temperatures up to 180 °C and pressures up to 600 kPa was realized using simple techniques and with a Chamber of a considerable volume (approximately 40 l). A relative humidity setup, used for calibrating sensors at temperatures up to 180 °C and dew-point temperatures up to 95 °C, was modified to allow for the generation of dew-point temperatures up to 150 °C, thus extending the maximum relative humidity at 180 °C from 8%rh to 45%rh. The uncertainty in the generated relative humidity remained 0.2%rh at 5%rh and increases to 0.4%rh at 95%rh. Seven industrial sensors of two different types and manufacturer (one capacitive sensor and one acoustic sensor) were tested in the setup. For both types the tests were used to obtain information about the behaviour of the sensors at high air and dew-point temperatures and high pressures. The capacitive sensors were tested up to 180 °C for determining their temperature and relative humidity correction function and the acoustic sensors were tested up to 120 °C for investigating the speed of sound.
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thermistors used in Climatic Chamber at high temperature and humidity
International Journal of Thermophysics, 2015Co-Authors: J Van Geel, R. Bosma, J Van Wensveen, A. PeruzziAbstract:In 2011, VSL initiated the development of a facility for a relative humidity between \(-40~^{\circ }\hbox {C}\) and \(+180~^{\circ }\hbox {C}\) for calibrating high-temperature relative humidity sensors at pressures other than atmospheric. The setup for calculating the relative humidity uses the dew-point temperature, measured by a chilled mirror hygrometer, and the temperature distribution in the Chamber, measured by a series of thermistors. This paper describes the results of thermal tests performed on the thermistors to ensure that they meet the requirements of the humidity calibration facility. Different types of thermistors were evaluated up to \(105~^{\circ }\hbox {C}\), and the selected type showed a short-term drift of less than 2 mK. Exposure of these thermistors to temperatures up to \(180~^{\circ }\hbox {C}\) gave an initial hysteresis of 40 mK, but after this initial hysteresis, the hysteresis, over the range from \(-40~^{\circ }\hbox {C}\) up to \(180~^{\circ }\hbox {C}\), was less than 10 mK. Use of a digital multimeter, with a low-power option, limited the self-heating of the thermistors, over the range from \(-40~^{\circ }\hbox {C}\) up to \(160~^{\circ }\hbox {C}\), to less than 5 mK. During use in the new setup, the thermistors were exposed to changing humidities between 1 %Rh and 90 %Rh and temperatures up to \(180~^{\circ }\hbox {C}\), showing drifts of less than 10 mK.
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Climatic Chamber for Temperatures up to \(180\,^{\circ }\mathrm{C}\) and Pressures up to 0.5 MPa
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from \(-40\,^{\circ }\mathrm{C}\) up to \(180\,^{\circ }\mathrm{C}\) and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above \(0\,^{\circ }\mathrm{C}\). Below \(0\,^{\circ }\mathrm{C}\), the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between \(0.10\,^{\circ }\mathrm{C}\) and \(0.21\,^{\circ }\mathrm{C}\). Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
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Climatic Chamber for temperatures up to 180 circ mathrm c and pressures up to 0 5 mpa
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from \(-40\,^{\circ }\mathrm{C}\) up to \(180\,^{\circ }\mathrm{C}\) and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above \(0\,^{\circ }\mathrm{C}\). Below \(0\,^{\circ }\mathrm{C}\), the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between \(0.10\,^{\circ }\mathrm{C}\) and \(0.21\,^{\circ }\mathrm{C}\). Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
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Climatic Chamber for Temperatures up to $$180\,^{\circ }\mathrm{C}$$ 180
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from $$-40\,^{\circ }\mathrm{C}$$ - 40 ∘ C up to $$180\,^{\circ }\mathrm{C}$$ 180 ∘ C and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above $$0\,^{\circ }\mathrm{C}$$ 0 ∘ C . Below $$0\,^{\circ }\mathrm{C}$$ 0 ∘ C , the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between $$0.10\,^{\circ }\mathrm{C}$$ 0.10 ∘ C and $$0.21\,^{\circ }\mathrm{C}$$ 0.21 ∘ C . Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
Kris Scicluna - One of the best experts on this subject based on the ideXlab platform.
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IECON - A Low-Cost Real Time Monitoring System for an Industrial Mini-Climatic Chamber
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019Co-Authors: Clive Seguna, Luke Tanti, Jeremy Scerri, Kris SciclunaAbstract:This work presents the development of a low-cost real-time monitoring and control system for an industrial mini-Climatic Chamber or other similar heating and cooling systems. The developed system is being used by an industrial company for temperature control and monitoring purposes of a mini-industrial Climatic Chamber using a low-cost Raspberry Pi and a custom developed STM32F electronic controller card. It involves the integration of various hardware and software components so to control and monitor in real-time the temperature inside a closed mini-Climatic Chamber. A complete system that includes a custom web-user interface hosted on a Raspberry Pi credit card size computer developed so to allow the user to control various Climatic Chamber parameters such as the temperature setpoint. Additionally, this work evaluates the various adopted temperature control algorithms including PID and Fuzzy Logic control. A datalogging system is implemented so to record the temperature values that are read in real-time from a sensor data acquisitioning card based on an STM32F microcontroller and after stored in a MySQL database hosted on the Raspberry PI for remote network access. Finally, results from experiments were analyzed and demonstrated that the fuzzy logic control algorithm performs better than the PID control algorithm in terms of response time and steady state error. The use of the Raspberry-Pi dramatically reduced the price and space requirements of the system when compared to a standard PLC-based Chamber controller.
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A Low-Cost Real Time Monitoring System for an Industrial Mini-Climatic Chamber
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019Co-Authors: Clive Seguna, Luke Tanti, Jeremy Scerri, Kris SciclunaAbstract:This work presents the development of a low-cost real-time monitoring and control system for an industrial mini-Climatic Chamber or other similar heating and cooling systems. The developed system is being used by an industrial company for temperature control and monitoring purposes of a mini-industrial Climatic Chamber using a low-cost Raspberry Pi and a custom developed STM32F electronic controller card. It involves the integration of various hardware and software components so to control and monitor in real-time the temperature inside a closed mini-Climatic Chamber. A complete system that includes a custom web-user interface hosted on a Raspberry Pi credit card size computer developed so to allow the user to control various Climatic Chamber parameters such as the temperature setpoint. Additionally, this work evaluates the various adopted temperature control algorithms including PID and Fuzzy Logic control. A datalogging system is implemented so to record the temperature values that are read in real-time from a sensor data acquisitioning card based on an STM32F microcontroller and after stored in a MySQL database hosted on the Raspberry PI for remote network access. Finally, results from experiments were analyzed and demonstrated that the fuzzy logic control algorithm performs better than the PID control algorithm in terms of response time and steady state error. The use of the Raspberry-Pi dramatically reduced the price and space requirements of the system when compared to a standard PLC-based Chamber controller.
R. Bosma - One of the best experts on this subject based on the ideXlab platform.
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Climatic Chamber for dew point temperatures up to 150 c
Metrologia, 2018Co-Authors: R. Bosma, R J Pouw, W Van Schaik, A. PeruzziAbstract:A traceable humidity generator for temperatures up to 180 °C and pressures up to 600 kPa was realized using simple techniques and with a Chamber of a considerable volume (approximately 40 l). A relative humidity setup, used for calibrating sensors at temperatures up to 180 °C and dew-point temperatures up to 95 °C, was modified to allow for the generation of dew-point temperatures up to 150 °C, thus extending the maximum relative humidity at 180 °C from 8%rh to 45%rh. The uncertainty in the generated relative humidity remained 0.2%rh at 5%rh and increases to 0.4%rh at 95%rh. Seven industrial sensors of two different types and manufacturer (one capacitive sensor and one acoustic sensor) were tested in the setup. For both types the tests were used to obtain information about the behaviour of the sensors at high air and dew-point temperatures and high pressures. The capacitive sensors were tested up to 180 °C for determining their temperature and relative humidity correction function and the acoustic sensors were tested up to 120 °C for investigating the speed of sound.
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thermistors used in Climatic Chamber at high temperature and humidity
International Journal of Thermophysics, 2015Co-Authors: J Van Geel, R. Bosma, J Van Wensveen, A. PeruzziAbstract:In 2011, VSL initiated the development of a facility for a relative humidity between \(-40~^{\circ }\hbox {C}\) and \(+180~^{\circ }\hbox {C}\) for calibrating high-temperature relative humidity sensors at pressures other than atmospheric. The setup for calculating the relative humidity uses the dew-point temperature, measured by a chilled mirror hygrometer, and the temperature distribution in the Chamber, measured by a series of thermistors. This paper describes the results of thermal tests performed on the thermistors to ensure that they meet the requirements of the humidity calibration facility. Different types of thermistors were evaluated up to \(105~^{\circ }\hbox {C}\), and the selected type showed a short-term drift of less than 2 mK. Exposure of these thermistors to temperatures up to \(180~^{\circ }\hbox {C}\) gave an initial hysteresis of 40 mK, but after this initial hysteresis, the hysteresis, over the range from \(-40~^{\circ }\hbox {C}\) up to \(180~^{\circ }\hbox {C}\), was less than 10 mK. Use of a digital multimeter, with a low-power option, limited the self-heating of the thermistors, over the range from \(-40~^{\circ }\hbox {C}\) up to \(160~^{\circ }\hbox {C}\), to less than 5 mK. During use in the new setup, the thermistors were exposed to changing humidities between 1 %Rh and 90 %Rh and temperatures up to \(180~^{\circ }\hbox {C}\), showing drifts of less than 10 mK.
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Climatic Chamber for Temperatures up to \(180\,^{\circ }\mathrm{C}\) and Pressures up to 0.5 MPa
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from \(-40\,^{\circ }\mathrm{C}\) up to \(180\,^{\circ }\mathrm{C}\) and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above \(0\,^{\circ }\mathrm{C}\). Below \(0\,^{\circ }\mathrm{C}\), the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between \(0.10\,^{\circ }\mathrm{C}\) and \(0.21\,^{\circ }\mathrm{C}\). Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
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Climatic Chamber for temperatures up to 180 circ mathrm c and pressures up to 0 5 mpa
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from \(-40\,^{\circ }\mathrm{C}\) up to \(180\,^{\circ }\mathrm{C}\) and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above \(0\,^{\circ }\mathrm{C}\). Below \(0\,^{\circ }\mathrm{C}\), the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between \(0.10\,^{\circ }\mathrm{C}\) and \(0.21\,^{\circ }\mathrm{C}\). Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
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Climatic Chamber for Temperatures up to $$180\,^{\circ }\mathrm{C}$$ 180
International Journal of Thermophysics, 2014Co-Authors: R. Bosma, A. PeruzziAbstract:A new relative-humidity setup was developed for calibrating sensors in the temperature range from $$-40\,^{\circ }\mathrm{C}$$ - 40 ∘ C up to $$180\,^{\circ }\mathrm{C}$$ 180 ∘ C and at pressures down to 700 hPa and up to 0.5 MPa. The setup is based on the Chamber-in-Chamber model: a small additional Chamber is positioned inside a Climatic Chamber. While the Climatic Chamber is used to generate the air temperature, a pre-conditioned gas from outside the Climatic Chamber delivers the required humidity in the new pressure Chamber. Validation of the setup at atmospheric pressure showed relative-humidity uncertainties of 0.2 %rh at 5 %rh over the whole temperature range and 0.4 %rh at 95 %rh for temperatures above $$0\,^{\circ }\mathrm{C}$$ 0 ∘ C . Below $$0\,^{\circ }\mathrm{C}$$ 0 ∘ C , the maximum uncertainty increases to 0.9 %rh due to the influence of the temperature homogeneity. The temperature uncertainty of the new setup is between $$0.10\,^{\circ }\mathrm{C}$$ 0.10 ∘ C and $$0.21\,^{\circ }\mathrm{C}$$ 0.21 ∘ C . Five commercially available relative-humidity sensors, of different type and manufacturer and all suitable for high temperatures, were calibrated in the new setup. The measurements showed deviations outside the stated specifications of the manufacturer and the need of traceable calibration facilities.
Luc Thorel - One of the best experts on this subject based on the ideXlab platform.
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A new Climatic Chamber for studying soil–atmosphere interaction in physical models
International Journal of Physical Modelling in Geotechnics, 2019Co-Authors: Catalina Lozada, Bernardo Caicedo, Luc ThorelAbstract:A new Climatic Chamber at the Universidad de Los Andes in Bogota, Colombia has been designed and built to simulate atmosphere. It has been instrumented to measure various environmental variables, i...
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a new Climatic Chamber for studying soil atmosphere interaction in physical models
International Journal of Physical Modelling in Geotechnics, 2019Co-Authors: Catalina Lozada, Bernardo Caicedo, Luc ThorelAbstract:A new Climatic Chamber at the Universidad de Los Andes in Bogota, Colombia has been designed and built to simulate atmosphere. It has been instrumented to measure various environmental variables, i...
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improved Climatic Chamber for desiccation simulation
E3S Web of Conferences, 2016Co-Authors: Catalina Lozada, Bernardo Caicedo, Luc ThorelAbstract:The Climatic Chamber at the Universidad de Los Andes was improved for modeling desiccation in soil layers. This Chamber allows the measurement of different environmental variables. In this research, evaporation tests were conducted in water imposing boundary conditions for drying, and then these tests were performed in a soil layer. The soil was prepared from a slurry state and was drying controlling the temperature, the infrared radiation, the wind velocity, and the relative humidity. In the first part of this paper, a description of the Climatic Chamber, operation ranges and theoretical work principles of the Climatic Chamber are presented. Then, the second part shows the results for desiccation in water and soil. The desiccation tests performed with the Climatic Chamber allow simulating all environmental conditions accurately during drying coupling the effect of all environmental variables. As a result, the evaporation rate increases with infrared radiation in soil and water. The rate at the beginning of the desiccation tests in clays is the same as in water. However, this evaporation rate decreases as the soil becomes desiccated.
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Climatic Chamber with centrifuge to simulate different weather conditions
Geotechnical Testing Journal, 2012Co-Authors: Julian Tristancho, Bernardo Caicedo, Luc Thorel, Nelson ObregonAbstract:Increasing interest in thermo-hydro-mechanical (THM) studies of soil responses to hydrological variations has heightened the need for improvements in the basic understanding of the heat and mass transport taking place at the soil-atmosphere interface. Numerous hydrological parameters affect this thermo-hydro-mechanical process including solar radiation, air temperature, atmospheric pressure, wind velocity, rain intensity and hygrometry. Since field tests of soil-atmosphere interaction require measurements over long periods of time, only a small number of these results are available for calibration of the numerical models that are based on atmospheric data as boundary condition. The number is even more limited for results which focus on cyclic wetting and drying. Centrifuge modeling is a powerful tool for studying these problems since it can accelerate the time needed for diffusion processes taking place at the soil-atmosphere interface. Nevertheless, modeling this interaction adequately with a centrifuge requires development of new types of equipment such as a Climatic Chamber that allows control of weather variables while respecting the centrifuge’s scaling laws. This paper describes the design of an apparatus for simulating tropical weather conditions which combines a Climatic Chamber with a centrifuge. The scaling laws are studied, and the feasibility of reproducing tropical weather conditions around a centrifuge is discussed. Finally, the paper presents some validation results that highlight the working principles of this new apparatus.
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Centrifuge modeling of soil atmosphere interaction using Climatic Chamber
2010Co-Authors: B. Caicedo, Julian Tristancho, Luc ThorelAbstract:Soil-atmospheric interaction processes such as infiltration or evaporation can have a significant effect on the behavior of geotechnical structures located near the soil surface. This paper focuses on the drying process of soils due to evaporation. The scaling laws are analyzed and the results of the application of two cycles of heating and cooling on a soil mass are presented. Based on these results, conclusions about the feasibility of reproducing evaporation on centrifuge models are recommended.
Clive Seguna - One of the best experts on this subject based on the ideXlab platform.
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IECON - A Low-Cost Real Time Monitoring System for an Industrial Mini-Climatic Chamber
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019Co-Authors: Clive Seguna, Luke Tanti, Jeremy Scerri, Kris SciclunaAbstract:This work presents the development of a low-cost real-time monitoring and control system for an industrial mini-Climatic Chamber or other similar heating and cooling systems. The developed system is being used by an industrial company for temperature control and monitoring purposes of a mini-industrial Climatic Chamber using a low-cost Raspberry Pi and a custom developed STM32F electronic controller card. It involves the integration of various hardware and software components so to control and monitor in real-time the temperature inside a closed mini-Climatic Chamber. A complete system that includes a custom web-user interface hosted on a Raspberry Pi credit card size computer developed so to allow the user to control various Climatic Chamber parameters such as the temperature setpoint. Additionally, this work evaluates the various adopted temperature control algorithms including PID and Fuzzy Logic control. A datalogging system is implemented so to record the temperature values that are read in real-time from a sensor data acquisitioning card based on an STM32F microcontroller and after stored in a MySQL database hosted on the Raspberry PI for remote network access. Finally, results from experiments were analyzed and demonstrated that the fuzzy logic control algorithm performs better than the PID control algorithm in terms of response time and steady state error. The use of the Raspberry-Pi dramatically reduced the price and space requirements of the system when compared to a standard PLC-based Chamber controller.
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A Low-Cost Real Time Monitoring System for an Industrial Mini-Climatic Chamber
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019Co-Authors: Clive Seguna, Luke Tanti, Jeremy Scerri, Kris SciclunaAbstract:This work presents the development of a low-cost real-time monitoring and control system for an industrial mini-Climatic Chamber or other similar heating and cooling systems. The developed system is being used by an industrial company for temperature control and monitoring purposes of a mini-industrial Climatic Chamber using a low-cost Raspberry Pi and a custom developed STM32F electronic controller card. It involves the integration of various hardware and software components so to control and monitor in real-time the temperature inside a closed mini-Climatic Chamber. A complete system that includes a custom web-user interface hosted on a Raspberry Pi credit card size computer developed so to allow the user to control various Climatic Chamber parameters such as the temperature setpoint. Additionally, this work evaluates the various adopted temperature control algorithms including PID and Fuzzy Logic control. A datalogging system is implemented so to record the temperature values that are read in real-time from a sensor data acquisitioning card based on an STM32F microcontroller and after stored in a MySQL database hosted on the Raspberry PI for remote network access. Finally, results from experiments were analyzed and demonstrated that the fuzzy logic control algorithm performs better than the PID control algorithm in terms of response time and steady state error. The use of the Raspberry-Pi dramatically reduced the price and space requirements of the system when compared to a standard PLC-based Chamber controller.