scholarly journals Numerical analysis of a near-room-temperature magnetic cooling system

2017 ◽  
Vol 75 ◽  
pp. 262-275 ◽  
Author(s):  
Mehmet Akif Ezan ◽  
Orhan Ekren ◽  
Cagri Metin ◽  
Ahmet Yilanci ◽  
Emrah Biyik ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Room Temperature ◽  
Cooling System ◽  
Magnetic Cooling

A pre-industrial magnetic cooling system for room temperature application

2012 ◽  
Vol 98 ◽  
pp. 556-561 ◽  
Author(s):  
M. Balli ◽  
O. Sari ◽  
C. Mahmed ◽  
Ch. Besson ◽  
Ph. Bonhote ◽  
...  
Keyword(s):  
Room Temperature ◽  
Cooling System ◽  
Magnetic Cooling ◽  
Temperature Application

scholarly journals Performance Assessment of a Near Room Temperature Magnetic Cooling System

2017 ◽  
Vol 107 ◽  
pp. 188-192 ◽  
Author(s):  
O. Ekren ◽  
A. Yilanci ◽  
M.A. Ezan ◽  
M. Kara ◽  
E. Biyik
Keyword(s):  
Performance Assessment ◽  
Room Temperature ◽  
Cooling System ◽  
Magnetic Cooling

A Numerical Analysis on the System Impedance in a Fan Cooling System

2003 ◽  
Author(s):  
Dong-Il Kim ◽  
Ki-So Bok ◽  
Han-Bae Lee
Keyword(s):  
Numerical Analysis ◽  
Pressure Drop ◽  
Flow Rate ◽  
Pressure Difference ◽  
Cooling System ◽  
Computational Time ◽  
Computational Domain ◽  
Impedance Curve ◽  
Fan Cooling ◽  
Large Investment

To seek the fan operating point on a cooling system with fans, it is very important to determine the system impedance curve and it has been usually examined with the fan tester based on ASHRAE standard and AMCA standard. This leads to a large investment in time and cost, because it could not be executed until the system is made actually. Therefore it is necessary to predict the system impedance curve through numerical analysis so that we could reduce the measurement time and effort. This paper presents how the system impedance curve (pressure drop curve) is computed by CFD in substitute for experiment. In reverse order to the experimental principle of the fan tester, pressure difference was adopted first as inlet and outlet boundary conditions of the system and then flow rate was calculated. After determining the system impedance curve, it was compared with experimental results. Also the computational domain of the system was investigated to minimize computational time.

scholarly journals DISAIN SISTEM OTOMASI SUHU RUANGAN PERTEMUAN DENGAN PENERAPAN TEKNIK MACHINE LEARNING

2019 ◽  
pp. 117-120
Author(s):  
Stephanie Imelda Pella ◽  
Hendro FJ L
Keyword(s):  
Machine Learning ◽  
Object Detection ◽  
Room Temperature ◽  
Cooling System ◽  
Raspberry Pi ◽  
Air Cooling ◽  
Minimum Value ◽  
Air Cooling System ◽  
Four Levels ◽  
And Control

This research presents an automation process of controlling room temperature based on the number of people detected in a room. The system consists of a single board raspberry pi computer, esp8266 micro controller, pi camera, and an infrared module. This research is divided into two parts, namely object detection using Raspbery Pi and Tensorflow and Open CV libraries and controlling air cooling system (ACS) using esp8266 and infrared modules by transmitting hexadecimal AC control codes. The ACS temperature is divided into four levels with a minimum value at 18o C and a maximum at 24o C. System testings were carried out in an empty room and a room with a capacity of 50 people that is fully occupied. The results show that the system is able to detect the number of people in the room and control the ACS, but under certain conditions some objects are not detected because the position and camera tilt is not optimal.

Computer Intelligence in Healthcare

2013 ◽  
pp. 716-715 ◽  
Author(s):  
Pramit Ghosh ◽  
Debotosh Bhattacharjee ◽  
Mita Nasipuri ◽  
Dipak Kumar Basu
Keyword(s):  
Embedded System ◽  
Room Temperature ◽  
Cooling System ◽  
Low Cost ◽  
Environmental Parameters ◽  
Training Data ◽  
Data Sets ◽  
Air Conditioner ◽  
Time Data ◽  
Full Speed

Low cost solutions for the development of intelligent bio-medical devices that not only assist people to live in a better way but also assist physicians for better diagnosis are presented in this chapter. Two such devices are discussed here, which are helpful for prevention and diagnosis of diseases. Statistical analysis reveals that cold and fever are the main culprits for the loss of man-hours throughout the world, and early pathological investigation can reduce the vulnerability of disease and the sick period. To reduce this cold and fever problem a household cooling system controller, which is adaptive and intelligent in nature, is designed. It is able to control the speed of a household cooling fan or an air conditioner based on the real time data, namely room temperature, humidity, and time for which system is active, which are collected from environment. To control the speed in an adaptive and intelligent manner, an associative memory neural network (Kramer) has been used. This embedded system is able to learn from training set; i.e., the user can teach the system about his/her feelings through training data sets. When the system starts up, it allows the fan to run freely at full speed, and after certain interval, it takes the environmental parameters like room temperature, humidity, and time as inputs. After that, the system takes the decision and controls the speed of the fan.

Three-Dimensional Numerical Analysis for Bolted Flange Joints Considering Effect of Creep

2018 ◽  
Author(s):  
Lewen Bi ◽  
Lanzhu Zhang
Keyword(s):  
High Temperature ◽  
Elevated Temperature ◽  
Numerical Analysis ◽  
Yield Strength ◽  
Room Temperature ◽  
Three Dimensional ◽  
Short Term ◽  
Flange Connection ◽  
Petroleum Chemical ◽  
Bolted Flange

Bolted flange joints are widely used in petroleum, chemical, nuclear and power industries, etc. With more and more devices are used at high temperature, the performance of flange connections becomes more complex, especially with creep of different components in flange connection. At elevated temperature, with the loss of bolt force and gasket force due to creep, the joints are prone to leak. Based on this, this paper analyzed the relaxation of bolt force at elevated temperature due to creep of bolt, flange and gasket separately and simultaneously. Besides, the influence of different initial installation stress of bolts was also studied. The results showed bolted flange joints relaxed due to gasket creep during early short term service. However, contribution of bolt and flange creep became more and more significant with the extension of time. With considering the creep of bolt, flange and gasket simultaneously, 50% to 60% of the bolt material yield strength at room temperature was recommended as the bolt initial installation stress for the joint case studied in this paper.

Magnetic heat pumps – Configurable hydraulic distribution for a magnetic cooling system

2014 ◽  
Vol 37 ◽  
pp. 165-175 ◽  
Author(s):  
J.M. Gatti ◽  
C. Muller ◽  
C. Vasile ◽  
G. Brumpter ◽  
P. Haegel ◽  
...  
Keyword(s):  
Cooling System ◽  
Heat Pumps ◽  
Magnetic Cooling

Experimental Study of Capillary Radiant Cooling System with Parameters Changing

2013 ◽  
Vol 300-301 ◽  
pp. 1048-1053 ◽  
Author(s):  
Yong Hong Wang
Keyword(s):  
Room Temperature ◽  
Cooling System ◽  
Cooling Capacity ◽  
Test Methods ◽  
Radiation Response ◽  
Volume Changes ◽  
Indoor Temperature ◽  
Radiant Cooling ◽  
Radiation Laboratory ◽  
The Impact

In this paper, the test methods of radiation laboratory and data analysis in detail were introduced. The impact of the capillary system with different parameters changing, such as water temperature or water flow the capillary cooling capacity changes, and the capillary cooling system when the initial radiation response time were specificially studied. Under different parameters while cooling capillary volume changes associated with the indoor temperature can be seen under certain conditions, the capillary cooling capacity and room temperature has a linear relationship.

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