离线预报表明：模糊神经网络预报金属塑性变形抗力有较高的精度。
Off-line forecast shows that fuzzy neural network has high precision in predicting metal plastic deformation resistance.
这是因为该复合材料中形成了共析组织，且相界面增多，塑性变形抗力增大，硬质点数量增多。
The main reasons are the forming of eutectoid structure, the increase of the phase interfaces, the enhance of the plastic deformation resistance, as well as the increase of the hard particles.
本文研究了宏观残余应力对微塑性变形行为与抗力的影响。
The effect of residual stress on microplastic deformation behavior and microyield strength has been investigated.
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