Akademik Veri Yönetim Sistemi
International Conference on Mathematics and its Applications in Science and Engineering (ICMASE2020), Ankara, Türkiye, 9 - 10 Temmuz 2020, ss.185-196
Heat exchangers, which are the systems that allow heat transfer between two or
more uids, are widely used in industry, and they are an indispensable part of
chemical processes. Thus, a considerable amount of research has been conducted
in the optimization of these systems, especially regarding cost optimization. There
are two main parameters affecting the cost of a heat exchanger. One is the surface
area of the exchanger, which mainly affects the capital investment cost. The other
one is the pressure drop, which mainly affects the operating cost. These parameters
are interlinked; however, since the change in the surface area may result in a change
in the pressure drop and vice versa due to the physical laws. In the case which is
analyzed in this study, there are four main variables for the heat exchanger, which
will be adjusted in order to obtain the optimum values for surface area and pressure
drop: the number of tube side passages, shell inside diameter, bafes spacing, and
tube outside diameter. In this study, we compare the success of the nontraditional
optimization techniques such as generic algorithms, particle swarm optimization,
articial bee colony, and biography-based optimization for a shell and tube heat
exchanger. In the considered three processes in which these optimization methods
are utilized, we see that biography-based optimization has given the minimum cost
for each process.