Tube and Shell heat exchanger optimization taking into account Mechanical restrictionsv

Abstract

The study introduces a multi-objective optimization procedure for shell-and-tube heat exchangers, incorporating thermal, hydraulic, and mechanical constraints to ensure equipment durability. Implemented in MATLAB using genetic algorithms (NSGA-II), the method optimizes design variables while adhering to mechanical standards. Results validate the approach against literature examples, highlighting cost and performance improvements.