Cobalt–chromium–molybdenum (Co–Cr–Mo) alloys are used extensively within the biomedical industry for hip, knee and shoulder prostheses. These components are manufactured using a range of different processes which includes machining. However, material properties such as high hardness, high wear resistance and strain rate hardening classifies these alloys as difficult to cut materials. Finite Element (FE) Modelling of machining processes can reduce the number of machining tests required for optimisation. The aim of the present work was to develop a FE model that can predict the orthogonal forces during the machining of biomedical grade Co–Cr–Mo alloy. To achieve this, it was necessary to develop the constitutive material model for this alloy. A modified Zerilli–Armstrong model was found to have the greatest predication capability compared to a modified Johnson–Cook and a strain compensated Arrhenius-type model. An orthogonal cutting finite element model was developed using Deform 3D over a range of different feed rates and cutting speeds. The model predicted the cutting forces to a high degree of accuracy (less than 5% error) over a range of different feed rates at low cutting speeds.

钴铬钼（Co-Cr-Mo）合金在生物医学行业中广泛用于髋，膝和肩假体。这些组件是通过一系列不同的过程（包括机械加工）制造的。然而，诸如高硬度，高耐磨性和应变速率硬化之类的材料特性将这些合金归类为难切削材料。加工过程的有限元（FE）建模可以减少优化所需的加工测试次数。当前工作的目的是开发一个可以预测生物医学级Co-Cr-Mo加工过程中正交力的有限元模型。合金。为此，有必要开发这种合金的本构模型。与改良的Johnson-Cook和应变补偿的Arrhenius型模型相比，改良的Zerilli–Armstrong模型具有最大的预测能力。使用Deform 3D在一系列不同的进给速度和切削速度下开发了正交切削有限元模型。该模型预测了在低切削速度下一系列不同进给速率下的切削力具有很高的精度（误差小于5％）。