Influence of heat transfer and curing on the quality of pultruded composites. II: Modeling and simulation

2002 ◽  
Vol 23 (5) ◽  
pp. 957-969 ◽  
Author(s):  
Zhongman Ding ◽  
Shoujie Li ◽  
L. James Lee
Keyword(s):  
Heat Transfer ◽  
Modeling And Simulation ◽  
Pultruded Composites

Influence of heat transfer and curing on the quality of pultruded composites. I: Experimental

2002 ◽  
Vol 23 (5) ◽  
pp. 947-956 ◽  
Author(s):  
Shoujie Li ◽  
Zhongman Ding ◽  
Liqun Xu ◽  
L. James Lee ◽  
Herbert Engelen
Keyword(s):  
Heat Transfer ◽  
Pultruded Composites

Heat Transfer Enhancement in Separation Process of Ethanol from Ethanol Water Mixture by Using Surfactants

2020 ◽  
pp. 9-14 ◽  
Author(s):  
Acharya Anil Ramchandra ◽  
R. Kadam ◽  
A. T. Pise
Keyword(s):  
Heat Transfer ◽  
Ammonium Chloride ◽  
Sodium Dodecyl ◽  
Water Mixture ◽  
Transfer Enhancement ◽  
Surface Tension Reduction ◽  
Surface Active Agents ◽  
Surface Active ◽  
Time Required

Here the investigations are done while distillation of ethanol-water mixture for separating ethanol from fermentation process. Focus is to study reduction in time required and hence saving in energy for the distillation process of ethanol-water mixture under the influence of surface-active agents (Surfactants). This novelty is from observation of these surfactants to enhance heat transfer rate because of surface tension reduction in aqueous solutions. SDS (Sodium Dodecyl Sulphate), NH4Cl (Ammonium Chloride) and SLBS (Sodium lauryl benzene sulphonate) surfactants in different concentration are experimented. The concentration of these surfactant is varied from 1700 ppm to 2800 ppm. This range is decided by observing critical micelle concentration of used surfactants. Results showed that time is reduced and hence energy consumption is also reduced. Results shown by NH4Cl are found to be more useful as it is ecofriendly surfactant which is not affecting ethanol-water mixture. Use of ammonium chloride as surfactant in distillation is actually useful to reduce energy without hampering the quality of process is the novelty of this work.

Transient Heat Transfer Simulation in Rapid Heat Cycle Molding with Electric Heating

2012 ◽  
Vol 497 ◽  
pp. 121-125
Author(s):  
Shao Fei Jiang ◽  
Yin Kong ◽  
Ji Quan Li ◽  
Guo Zhong Chai
Keyword(s):  
Heat Transfer ◽  
Injection Molding ◽  
Temperature Response ◽  
Electric Heating ◽  
High Quality ◽  
Heat Cycle ◽  
Heat Transfer Simulation ◽  
Plastic Injection ◽  
Plastic Products

The demand of high quality for plastic products has facilitated the development of Plastic Injection Molding Technology, many new sorts of methods were created to improve the surface quality of plastic products, such as Rapid Heat Cycle Molding. But the temperature response law hasn’t figured out yet, and the influence elements of this process haven’t been clear, which seriously delay the appliction of Rapid Heat Cycle Molding.

Build Direction Effects on Additively Manufactured Channels

2015 ◽  
Author(s):  
Jacob C. Snyder ◽  
Curtis K. Stimpson ◽  
Karen A. Thole ◽  
Dominic Mongillo
Keyword(s):  
Heat Transfer ◽  
Gas Turbine ◽  
Pressure Loss ◽  
Small Scale ◽  
Turbine Cooling ◽  
Gas Turbine Cooling ◽  
Gas Turbine Heat Transfer ◽  
Manufacturing Techniques ◽  
Traditional Manufacturing

With the advances of Direct Metal Laser Sintering (DMLS), also generically referred to as additive manufacturing, novel geometric features of internal channels for gas turbine cooling can be achieved beyond those features using traditional manufacturing techniques. There are many variables, however, in the DMLS process that affect the final quality of the part. Of most interest to gas turbine heat transfer designers are the roughness levels and tolerance levels that can be held for the internal channels. This study investigates the effect of DMLS build direction and channel shape on the pressure loss and heat transfer measurements of small scale channels. Results indicate that differences in pressure loss occur between the test cases with differing channel shapes and build directions, while little change is measured in heat transfer performance.

Fundamentals of Higher Order Neural Networks for Modeling and Simulation

2013 ◽  
pp. 103-133 ◽  
Author(s):  
Madan M. Gupta ◽  
Ivo Bukovsky ◽  
Noriyasu Homma ◽  
Ashu M. G. Solo ◽  
Zeng-Guang Hou
Keyword(s):  
Neural Networks ◽  
Modeling And Simulation ◽  
Learning Algorithm ◽  
Nonlinear Approximation ◽  
Higher Order ◽  
Higher Order Neural Networks ◽  
High Dynamic ◽  
Input Variables ◽  
Continuous Dynamic

In this chapter, the authors provide fundamental principles of Higher Order Neural Units (HONUs) and Higher Order Neural Networks (HONNs) for modeling and simulation. An essential core of HONNs can be found in higher order weighted combinations or correlations between the input variables and HONU. Except for the high quality of nonlinear approximation of static HONUs, the capability of dynamic HONUs for the modeling of dynamic systems is shown and compared to conventional recurrent neural networks when a practical learning algorithm is used. In addition, the potential of continuous dynamic HONUs to approximate high dynamic order systems is discussed, as adaptable time delays can be implemented. By using some typical examples, this chapter describes how and why higher order combinations or correlations can be effective for modeling of systems.

Sign in / Sign up

Export Citation Format

Share Document