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 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

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

Ba x Sr 1 − x TiO 3 Thin Films for Tunable Microwave Devices in Cryogenic and Room Temperature Application

2008 ◽  
Vol 367 (1) ◽  
pp. 170-178 ◽  
Author(s):  
P. M. Suherman ◽  
H. T. Su ◽  
T. J. Jackson ◽  
F. Huang ◽  
M. J. Lancaster
Keyword(s):  
Thin Films ◽  
Room Temperature ◽  
Microwave Devices ◽  
Tunable Microwave ◽  
Temperature Application

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.

Process-adapted temperature application within a two-stage rivet forming process for high nitrogen steel

2022 ◽  
pp. 146442072110686
Author(s):  
C-M Kuball ◽  
B Uhe ◽  
G Meschut ◽  
M Merklein
Keyword(s):  
Room Temperature ◽  
Temperature Management ◽  
High Nitrogen Steel ◽  
High Nitrogen ◽  
Forming Process ◽  
Two Stage ◽  
Nitrogen Steel ◽  
Temperature Application ◽  
Stage 1 ◽  
Forming Behaviour

Mechanical joining technologies like self-piercing riveting are gaining importance with regard to environmental protection, as they enable multi-material design and lightweight construction. A new approach is the use of high nitrogen steel as rivet material, which allows to omit the usually necessary heat treatment and coating and thus leads to a shortening of the process chain. Due to the high strain hardening, however, high tool loads must be expected. Thus, appropriate forming strategies are needed. Within this contribution, the influence of applying different temperatures for each forming stage in a two-stage rivet forming process using the high nitrogen steel 1.3815 is investigated. The findings provide a basic understanding of the influence of the temperature management when forming high nitrogen steel. For this purpose, the rivets are not formed at the same temperature in each stage, but an elevated temperature is applied selectively. Different process routes are investigated. First, cups are manufactured in stage 1 at room temperature, followed by stage 2 at 200°C. Second, cups are formed in stage 1 at 200°C and used for stage 2 at room temperature. By comparing the findings with results when applying the same temperature in both stages, it is shown that the temperature during the first forming operation has an effect on the forming behaviour during the second forming stage. The required forming forces and the resulting rivet hardness can be influenced by process-adapted temperature application. Furthermore, the causes for the temperature impact on the residual cup thickness in stage 1 are evaluated by a cause and effect analysis, which provides a deeper process understanding. The thermal expansion of the tool and the billet as well as the improved forming behaviour at 200°C are identified as the main influencing causes on the achieved residual cup thickness.

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.

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.

Bulk Transition Elements Based Materials for Magnetic Cooling Application

2011 ◽  
Vol 170 ◽  
pp. 248-252 ◽  
Author(s):  
Mohamed Balli ◽  
Osmann Sari ◽  
L. Zamni ◽  
A. Robert ◽  
J. Forchelet ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Composite Material ◽  
Powder Metallurgy ◽  
Magnetocaloric Effect ◽  
Temperature Change ◽  
Room Temperature ◽  
Test Bench ◽  
Transition Elements ◽  
Magnetic Systems ◽  
Magnetic Cooling

In this paper we investigate the performances of two bulk magnetocaloric refrigerants based on La(Fe,Co)13-xSix and prepared by powder metallurgy. Both materials were developed especially for a magnetic cooling machine. We have determined the magnetocaloric effect in term of temperature change under magnetic field using a test-bench with practical running conditions. ΔT was measured under 2 T and close to room temperature range. The obtained results will be compared with those of some reference materials reported in the literature. In addition, a composite material based on La(Fe,Co)13-xSix is proposed for magnetic systems using Ericsson and AMR cycles for refrigeration close to room temperature.

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