A digital twin (DT) is an effective means of achieving physical and information fusion and has great potential for achieving a new paradigm of cutting process (CP) intelligence. This paper traces the relevant studies of digital technology in manufacturing and proposes a bionic digital brain (BDB) as the intelligent core of a digital twin-cutting process (DTCP) framework. The BDB was built with digital neurons (DN) as the basic functional unit, and the reaction mechanism between the DN stimulated the BDB to compute intelligently in real time (RT). The left brain obtains the prophetic theoretical processing information through the DN. The right brain receives actual perceptive processing information through the DN. After the corpus callosum fuses the left and right brain information, the DN outputs the optimal control solutions in RT to ensure demand. The details of monitoring, predicting, optimizing, and controlling the CP based on this framework are described in detail through a case study, demonstrating the powerful information processing capability of the BDB and the RT precision intelligent machining effects. The developed DTCP system confirmed the feasibility and effectiveness of the proposed framework. It provided a theoretical and technical reference for applying and promoting DT technology in the CP.

数字孪生 (DT) 是实现物理和信息融合的有效手段，具有实现切割过程 (CP) 智能新范式的巨大潜力。本文追溯了制造业数字技术的相关研究，提出了以仿生数字大脑（BDB）作为数字双切割过程（DTCP）框架的智能核心。BDB以数字神经元（DN）为基本功能单元构建，DN之间的反应机制激发BDB进行实时智能计算（RT）。左脑通过DN获得预言性的理论加工信息。右脑通过 DN 接收实际的感知处理信息。胼胝体融合左右脑信息后，DN在RT输出最优控制方案，保证需求。通过实例详细描述了基于该框架的CP监控、预测、优化和控制的细节，展示了BDB强大的信息处理能力和RT精密智能加工效果。开发的DTCP系统证实了所提出框架的可行性和有效性。为DT技术在CP中的应用和推广提供了理论和技术参考。开发的DTCP系统证实了所提出框架的可行性和有效性。为DT技术在CP中的应用和推广提供了理论和技术参考。开发的DTCP系统证实了所提出框架的可行性和有效性。为DT技术在CP中的应用和推广提供了理论和技术参考。