-1條件下，利用Gleeble-3500熱模擬試驗(yàn)機(jī)進(jìn)行了等溫壓縮試驗(yàn)。對(duì)實(shí)驗(yàn)獲得的流動(dòng)應(yīng)力曲線進(jìn)行了修正，降低了摩擦與絕熱溫升等因素對(duì)流動(dòng)應(yīng)力的影響。采用考慮材料參數(shù)演化的修正Arrhenius模型和反向傳播人工神經(jīng)網(wǎng)絡(luò)（BP-ANN）模型對(duì)鈦合金熱變形過(guò)程中的流動(dòng)應(yīng)力進(jìn)行預(yù)測(cè)，并通過(guò)統(tǒng)計(jì)分析對(duì)預(yù)測(cè)模型精度進(jìn)行了評(píng)估。將2種預(yù)測(cè)模型擴(kuò)展的應(yīng)力、應(yīng)變數(shù)據(jù)植入有限元，模擬了熱壓縮實(shí)驗(yàn)過(guò)程。結(jié)果表明，Ti-55511合金的流變應(yīng)力與應(yīng)變速率呈正相關(guān)，與溫度呈負(fù)相關(guān)，合金軟化機(jī)制主要為再結(jié)晶。修正后的Arrhenius模型和BP-ANN模型都能描述流體的流動(dòng)行為，BP-ANN模型在α+β區(qū)域的擬合精度高于修正后的Arrhenius模型，而在β區(qū)域的擬合精度低于修正后的Arrhenius模型。;To investigate the hot flow behavior of Ti-55511 alloy in near-β region, isothermal compression tests were conducted at the temperature of 973-1223 K and the strain rate of 0.001–1 s-1 by Gleeble-3500 thermomechanical simulation equipment. The flow stress curves obtained from experiments were corrected, and the influence of friction and adiabatic temperature rise on flow stress was reduced. The corrected Arrhenius model with consideration of material parameter evolution and the back-propagation artificial neural network (BP-ANN) model were used for flow stress prediction of Ti alloys during hot deformation process, and the precision of these prediction models were evaluated by statistical analysis. The stress and strain data extended by the two prediction models were implanted into finite element to simulate the hot compression process. Results show that the flow stress of Ti-55511 alloy has a positive correlation with strain rate and a negative correlation with temperature. The alloy softening mechanism is primarily the recrystallization. Both the corrected Arrhenius model and BP-ANN model can describe the flow behavior of fluid, and the fitting accuracy of BP-ANN model is higher than that of corrected Arrhenius model in α+β region but lower than that of corrected Arrhenius model in β region."/>