Rapid simulation of metal cutting

金属切削用于所有的金属加工过程(车削、铣削和钻孔)，在全球制造业中被广泛使用。然而，对金属切割的基本物理进行可靠的建模已被证明是困难的，严重阻碍了设计更有效的制造工艺的努力。因此，目前仍然普遍使用收集的经验和/或耗时且昂贵的试错测试。据估计，全球金属加工业每年的价值超过8300亿美元，因此有巨大的节省成本的空间。在这个项目中，金属切割将使用一种固有的不连续建模方法，使用最近开发的不连续布局优化(DLO)数值建模技术，这是大约。比当前一代基于有限元的技术快1000倍。在该项目中，将对金属切割过程中的不确定性进行建模，并将该方法扩展到对斜切场景进行建模，从而允许对车削和铣削等过程进行建模。这将使制造商能够快速确定最佳操作条件，从而显著提高生产率。

Metal cutting is used in all metal machining processes (turning, milling and boring), widely used in the global manufacturing industry. However, reliably modelling the underlying physics of metal cutting has proved difficult, severely hampering efforts to design more efficient manufacturing processes. Thus at present, collected experience and/or time consuming and costly trial and error testing is still commonly used. The metal machining industry is estimated to be worth in excess of $830 billion per annum worldwide, so there is huge scope for significant cost savings. In this project metal cutting will be modelled using an inherently discontinuous modelling approach, using the recently developed discontinuity layout optimization (DLO) numerical modelling technique, which is approx. 1000x faster than current-generation finite element based techniques. In the project uncertainties in the metal cutting process will be modelled and the method extended to model oblique cutting scenarios, allowing processes such as turning and milling to be modelled. This will give manufacturers the ability to rapidly determine optimum operating conditions, leading to significant improvements in productivity.