Various methods have been employed to extract the elastoplastic properties of coating materials. In this work, the Levenberg-Marquardt optimization algorithm is integrated with the finite element (FE) analysis, and different hardening models are utilized to characterize the elastic plastic mechanical properties of the coating materials. Based on load-displacement curves obtained from different models such as the Swift unsaturated model and the Voce saturation model, it can be optimized to obtain a set of material properties. The sensitivity of the model parameters of the load-displacement curve is analyzed. The elastoplastic properties of the nanoindentation curve of TiN coating are extracted. The results show that yield stress, elastic modulus and the initial stage of the stress-strain curve can be impressively consistent, but are less accurate when it comes to large strain ranges.

已经采用了各种方法来提取涂层材料的弹塑性。在这项工作中，Levenberg-Marquardt优化算法与有限元（FE）分析集成在一起，并且使用不同的硬化模型来表征涂层材料的弹性塑性机械性能。基于从不同模型（例如Swift非饱和模型和Voce饱和模型）获得的载荷-位移曲线，可以对其进行优化以获得一组材料特性。分析了载荷-位移曲线模型参数的敏感性。提取了TiN涂层纳米压痕曲线的弹塑性。结果表明，屈服应力，弹性模量和应力-应变曲线的初始阶段可以令人印象深刻地保持一致，