A predictive analytical model has been modified to estimate the yield strength of austenitic-steel-based nanocomposites reinforced with nano-ZrO₂ particle. The effective volume ratio of the reinforcement particles that actively contribute to strengthening mechanisms and the negative influence of porosity have been integrated into the predictive models. The results obtained using the modified quadratic summation model were in quite good agreement with the experimental results. Mechanical properties of austenitic steel could be significantly improved by nano-ZrO₂ particles. Compared to deformation-induced strengthening mechanisms, particle-strengthening mechanisms due to nano-ZrO₂ particles have had a much considerable impact on improving the strength of austenitic-steel/ZrO₂ nanocomposites. All results indicated that the effective volume ratio and porosity should be considered in the predictive models to estimate the mechanical properties of austenitic-steel/ZrO₂ nanocomposites more reliable.

修改了预测分析模型，以估计由纳米ZrO ₂颗粒增强的奥氏体钢基纳米复合材料的屈服强度。积极参与强化机理的有效颗粒的有效体积比和孔隙率的负面影响已整合到预测模型中。使用改进的二次求和模型获得的结果与实验结果非常吻合。纳米ZrO ₂颗粒可以显着改善奥氏体钢的力学性能。与形变引起的强化机制相比，纳米ZrO ₂引起的颗粒强化机制颗粒对提高奥氏体钢/ ZrO ₂纳米复合材料的强度有很大的影响。所有结果表明，在预测模型中应考虑有效体积比和孔隙率，以更可靠地估算奥氏体钢/ ZrO ₂纳米复合材料的力学性能。