Al

2

O

3

/R141b+Span-80 nanorefrigerant for 0.05 wt.% to 0.4 wt.% is prepared by ultrasonic vibration to investigate the influence of nanoparticle concentrations on flow boiling heat transfer of Al

2

O

3

/R141b+Span-80 in micro heat exchanger by direct metal laser sintering. Experimental results showthat nanoparticle concentrations have significantly impact on heat transfer coefficients by homogeneity test of variances according to mathematical statistics. The heat transfer performance of Al

2

O

3

/R141b+Span-80 nanorefrigerant is enhanced after adding nanoparticles in the pure refrigerant R141b. The heat transfer coefficients of 0.05wt.%

0.1wt.%

0.2wt.%

0.3 wt.% and 0.4 wt.% Al

2

O

3

/R141b+Span-80 nanorefrigerant respectively increase by 55.0%

72.0%

53.0%

42.3% and 39.9% compared with the pure refrigerant R141b. The particle fluxes from viscosity gradient

non-uniform shear rate and Brownian motion cause particles to migrate in fluid especially in the process of flow boiling. Thismigrationmotion enhances heat transfer between nanoparticles and fluid. Therefore

the heat tran

sfer performance of nanofluid is enhanced. It is important to note that the heat transfer coefficients nonlinearly increase with nanoparticle concentrations increasing. The heat transfer coefficients reach its maximum value at the mass concentration of 0.1% and then it decreases slightly. There exists an optimal mass concentration corresponding to the best heat transfer enhancement. The reason for the above phenomenon is attributed to nanoparticles deposition on the minichannel wall by Scanning Electron Microscopy observation. The channel surface wettability increases during the flow boiling experiment in themass concentration range from 0.2 wt.% to 0.4wt.%. The channel surface with wettability increasing needsmore energy to produce a bubble. Therefore

the heat transfer coefficients decrease with nanoparticle concentrations in the range from 0.2 wt.% to 0.4 wt.%. In addition

a new correlation has been proposed by fitting the experimental data considering the influence ofmass concentrations on the heat transfer performance. The new correlation can effectively predict the heat transfer coefficient.