In the current work optimization of double pipe fin-pin heat exchanger has been studied. The effective parameters those are controlling the heat exchanger performance are divided in two categories; geometrical and operating conditions. Using the Brent’s optimization algorithm and handling the thermodynamically design concept, one can minimize entropy generation in different length of heat excha...

Heat flow SQ of the First Law of Thermodynamics is expressed in terms of the entropy flow &Q/T) SQ = SIT(QIT)I = ~~(Q/~+(Q~~d~ where T&Q/T) denotes the energy equivalent of the entropy flow, and (Q/T)dT introduces the concept of lost heat into entropy production. Here Q = QK f Q R where superscripts K and R indicate conduction and radiation, respectively. In terms of the lost heat, dimensionles...

MOTIVATION For many biotechnological purposes, it is desirable to redesign proteins to be more structurally and functionally stable at higher temperatures. For example, chemical reactions are intrinsically faster at higher temperatures, so using enzymes that are stable at higher temperatures would lead to more efficient industrial processes. We describe an innovative and computationally efficie...

The typical training scenario for an artificial neural network involves minimization of a cost-function in terms of the network output variables. Alternatively, the minimization may be done on the basis of the probability distributions of the network output, specifically, in terms of an informational entropy. A large class of such entropy based cost-functions are not suitable for training as th...