Dynamic modelling for a submerged freeze microgripper using thermal networks
نویسندگان
چکیده
منابع مشابه
Efficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks
In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملefficient parameters selection for cntfet modelling using artificial neural networks
in this article different types of artificial neural networks (ann) were used for cntfet (carbon nanotube transistors) simulation. cntfet is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. in determining the accurate output drain current of cntfet, time lapsed and accuracy of different simulation methods were compared. the training data for...
متن کاملA microgripper using piezoelectric actuation for micro-object manipulation
Design, fabrication and tests of a monolithic compliant-flexure-based microgripper were performed. The geometry design and the material tresses were considered through the finite element analysis. The simulation model was used to study in detail profiles of von Mises stresses nd deformation. The maximum stress in the microgripper is much smaller than the critical stress values for fatigue. The ...
متن کاملUsing Neural Networks and Genetic Algorithms for Modelling and Multi-objective Optimal Heat Exchange through a Tube Bank
In this study, by using a multi-objective optimization technique, the optimal design points of forced convective heat transfer in tubular arrangements were predicted upon the size, pitch and geometric configurations of a tube bank. In this way, the main concern of the study is focused on calculating the most favorable geometric characters which may gain to a maximum heat exchange as well as a m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Micromechanics and Microengineering
سال: 2009
ISSN: 0960-1317,1361-6439
DOI: 10.1088/0960-1317/20/2/025001