制备热轧钢所需的控轧控冷技术（TMCP）旨在将控制变形和控制相变结合来调控钢材微结构及性能。当前，TMCP调控技术未能将微观组织状态、非平衡效应以及形变的综合影响同所涉及相变的热力学/动力学函数相耦合，因此无法开展面向目标组织、性能的加工条件（热力学/动力学）的协同性调控。..本项目拟通过理论建模、多尺度模拟及实验研究，定量描述低合金钢TMCP涉及相变中动力学通量与热力学驱动力间关系，建立扩散、切变统一型微观速率方程及相变动力学模型，获得热力学驱动力和动力学能垒间函数关系及热力学驱动力、动力学能垒与组织演化的定量关系，实现加工条件、相变机制与组织、性能的一体化、定量化研究。..针对典型工业用低合金钢，基于所建立的热力学/动力学相关性理论，实现TMCP工艺条件下微观组织的定量预测，获得面向目标组织的最佳热力学/动力学条件并将其转化为TMCP调控工艺参量，进而提出TMCP调控新理念。

By combining controlled rolling and controlled cooling, Thermo-Mechanical Control Process (TMCP) technology is able to achieve a combined control of deformation and phase transformation so that the mechanical properties of steels can be optimized. However, the current TMCP technology dose not combine the overall effects of microstructure status, non-equilibrium effects, and deformation with the functions of thermodynamics and kinetics of phase transformations involved in TMCP. Therefore, the coordinative adjustments on the TMCP processing parameters (thermodynamics/kinetics) which are essentially important on achieving the desired microstructures and mechanical properties are not able to be carried out. ..This project aims to fill this gap. By combining theoretical modeling, multi-scale computer simulation, and experimental investigations, the correlation between thermodynamics and kinetics involved in TMCP processing of low-alloyed steels will be quantitatively described; a united micro-scale rate equation and a united kinetic model dealing with diffusively/displacively controlled transformation under local non-equilibrium condition will be developed. Accordingly, a quantitative relationship among the thermodynamic driving force, the kinetic barrier, and the microstructure evolution will be established, so that an integrative and quantitative research on processing conditions, phase transformation mechanisms, and microstructures/mechanical properties can be achieved. ..Based on the developed theory, aiming at several typically industrial low-alloyed steels, the microstructures resulted from any TMCP processes will be predicted quantitatively; then, the thermodynamic/kinetic parameters corresponding to the desired microstructures will be converted to the TMCP processing parameters and the most efficient TMCP route to achieve the desired microstructure will be obtained. On this basis, a novel concept for TMCP will be proposed based on the established theory.