Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector. Surface roughness induced by a grinding operation can affect corrosion resistance, wear resistance, and contact stiffness of the ground components. Prediction of surface roughness is useful for describing the quality of ground surfaces, evaluate the efficiency of the grinding process and guide the feedback control of the grinding parameters in real-time to help reduce the cost of production. This paper reviews extant research and discusses advances in the realm of machining theory, experimental design and Artificial Intelligence related to ground surface roughness prediction. The advantages and disadvantages of various grinding methods, current challenges and evolving future trends considering Industry-4.0 ready new generation machine tools are also discussed.

磨削是一种多尺度的材料去除工艺，几乎在每个工业领域都广泛用于加工各种材料。磨削操作引起的表面粗糙度会影响接地部件的耐腐蚀性，耐磨性和接触刚度。表面粗糙度的预测对于描述磨削表面的质量，评估研磨过程的效率以及实时指导研磨参数的反馈控制很有用，以帮助降低生产成本。本文回顾了现有的研究，并讨论了与地面粗糙度预测相关的机械加工理论，实验设计和人工智能领域的进展。各种研磨方法的优缺点，