Numerical and Experimental Investigation of Heat Transfer Enhancement in Double Pipe Heat Exchanger

Abstract

This study included two parts, one of them experimental work and the other the Artificial Neural Networks (ANN) application. For the first part, a heat exchanger of double pipe with counter flow of water were used. This heat exchanger included a semicircular disc baffles attached on the outer surface of the inner tube fitted with twisted tape. The second part used to determine the transfer functions effect and training algorithms on the experimental work. The heat exchanger outer tube material was made from iron of (0.054 m and 0.05 m) outer and inner diameters respectively also inner tube material was copper of (0.022 m and 0.02 m) outer and inner diameters respectively. The dimensions of baffles were with (22 mm, 11 mm and 1 mm) outer radius, inner radius, and depth respectively while baffles space was 150 mm. the types of twisted tape for the inner tube were plain twisted tape (PTT), twisted tape with circular ring CRT and wire nail-twisted tape (WN-TT). The ratio of twist was y = 5. The results show that the errors in all cases for Nusselt number and factor of friction not exceed 5%.