Top Suppliers TU-012 thermostatic cartridge wax sensor for sanitary ware for Yemen Importers
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Top Suppliers TU-012 thermostatic cartridge wax sensor for sanitary ware for Yemen Importers Detail:
1. Operation Principle
The Thermostatic Wax that has been sealed in shell body induces expansion by a given temperature, and inner rubber seal part drives its handspike to move under expansion pressure to realize a transition from thermal energy into mechanical energy. The Thermostatic Wax brings an upward movement to its handspike, and automatic control of various function are realized by use of upward movement of handspike. The return of handspike is accomplished by negative load in a given returned temperature.
2. Characteristic
(1)Small body size, occupied limited space, and its size and structure may be designed in according to the location where needs to work.
(2)Temperature control is reliable and nicety
(3)No shaking and tranquilization in working condition.
(4)The element doesn’t need special maintenance.
(5)Working life is long.
3.Main Technical Parameters
(1)Handspike’s height may be confirmed by drawing and technical parameters
(2)Handspike movement is relatives to the temperature range of the element, and the effective distance range is from 1.5mm to 20 mm.
(3)Temperature control range of thermal wax actuator is between –20 ~ 230℃.
(4)Lag phenomenon is generally 1 ~ 2℃. Friction of each component part and lag of the component part temperature cause a lag phenomenon. Because there is a difference between up and down curve of traveling distance.
(5)Loading force of thermal wax actuator is difference, it depends on its’ shell size.
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We always believe that one's character decides products' quality, the details decides products' quality ,with the REALISTIC,EFFICIENT AND INNOVATIVE team spirit for Top Suppliers TU-012 thermostatic cartridge wax sensor for sanitary ware for Yemen Importers, The product will supply to all over the world, such as: Greece , Mumbai , Latvia , With the goal of "zero defect". To care for the environment, and social returns, care employee social responsibility as own duty. We welcome friends from all over the world to visit and guide us so that we can achieve the win-win goal together.
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PAIYANOOR, OMR, CHENNAI
IEEE based Projects For
Final year students of B.E in
EEE, ECE, EI
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Ph.D Electrical and Electronics.
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Students can assemble their hardware in our Research labs. Experts will be guiding the projects.
Machines
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2. Design of 3phase distribution transformer
3. Performance of induction motor — Computer aided study
4. Computer Aided Design of induction motor
5. Design of transformer using Genetic Algorithm
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1. Short circuit analysis in C++
2. Micro controller based automatic Tap changer
3. Generation optimization using genetic algorithm
4. Transformer design in MATLAB
5. Power system software — design & computations
6. Microprocessor based automatic power factor monitor cum controller
7. Solution of Power system Analysis using neural networks
8. Unit Commitment in interconnected power system
9. DSP based Study of Power System Transients
Power Electronics
1. Thyristor controlled reactor compensator for
fast changing loads
2. Thyristor Automatic Voltage – Fuzzy Logic
3. MOSFET based UPS design
4. Design of IGBT based inverter
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for A.C drives in C
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control using SCR
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digital time switch
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transistors
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Microprocessor and PC
1. Microprocessor based temperature control
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3. Microprocessor based automatic power factor monitor cum controller
4. Micro controller based AC volt stabilizer and furnace safeguard supervisory system
5. PC based data acquisition card register
6. Microprocessor based accurate automatic conveyor controller
PC based steam controller with
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2. DSP application in speech processing
3. Cryptography — in network security and image processing
4. Hearing aid with selective frequency amplification
5. PWM using TMS320C50 processors
6. Speed control of induction motor using constant V/HZ
7. TMS320C240 and micro controller based linear position measuring system
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Artificial Neural Network
1. Image compression based on lifting scheme
2. Load forecasting in power systems using ANN
3. EHV fault location using ANN
4. Transformer fault identification using ANN
5. Pattern identification using ANN
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