A fatigue life prediction approach for laser-directed energy deposition titanium alloys by using support vector regression based on pore-induced failures

•The relation between pores and microstructure dominates fatigue life of laser directed energy deposition Ti-6.5Al-2Zr-Mo-V alloy.•Proper variables were proposed to be stress intensity factor range and pore types determined by pore and microstructure.•Fatigue life prediction model was developed and validated by using support vector regression (SVR) algorithm.