Fouling of roughened stainless steel surfaces during convective heat transfer to aqueous solutions

2008 ◽  
Vol 49 (11) ◽  
pp. 3381-3386 ◽  
Author(s):  
A. Herz ◽  
M.R. Malayeri ◽  
H. Müller-Steinhagen
2013 ◽  
Vol 312 ◽  
pp. 445-449
Author(s):  
Yu Su

This paper develops a 2D finite element model for the enhanced cooling cutting of stainless steel. The enhanced cooling effect is modeled with a convective heat transfer coefficient assigned to a heat transfer window of cutting zone. Five convective heat transfer coefficients are defined to simulate different enhanced cooling effects. The simulation results suggest that increase of convective heat transfer coefficient results in a very small reduction of maximum tool-chip interface temperature, even when a very large convective heat transfer coefficient is used. In addition, no significant effect on cutting force and thrust force is observed with the increase of convective heat transfer coefficient.


Author(s):  
Joohyun Lee ◽  
Roger D. Flynn ◽  
Kenneth E. Goodson ◽  
John K. Eaton

The convection performance of nanofluids in microchannels has received relatively little attention. This work reports convective heat transfer experiments of deionized water/Al2O3 nanofluids using 200μm hydraulic diameter MEMs fabricated microchannel structures and a stainless steel tube with 250μm inside diameter. The tube wall is heated electrically producing a constant heat flux boundary condition and an infrared camera is used to measure the outside tube wall temperature. A full numerical conjugate analysis of the apparatus is used to infer the fluid thermal conductivity from the temperature measurements. The effective thermal conductivity of nanofluids increased only by 4% for 4% volume concentration nanofluids in the MEMs fabricated microchannel and 5% for 3% volume concentration in the stainless steel tube under laminar flow conditions. The effective viscosity of the nanofluids increased 12% for 2% volume concentration. A dynamic light scattering system was used to measure the effective particle diameter and particle size distributions of nanoparticles with various pH values and surfactants. The measured mean diameter of Al2O3 nanoparticle is 170 nm, which is larger than the 40–50 nm nominal size.


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