Predictive Modeling and Validation of 3-D Cyclic Chip Formation for Chip Breaking in Turning Operations

获奖的研究旨在为车削操作开发一个全面的预测模型。将进行定量实验，对不同组的切屑流动、旋度机制和断裂机制进行分类，以便为通用车削建模建立适当的关系。将利用断裂力学研究三维切屑破碎，以及量化刀具-切屑摩擦学相互作用影响的技术，研究切屑侧和回流机制之间的关系。研究结果将用于开发一种预测模型，该模型具有广泛的可变性，可以代表大量的条件。除了对加工系统的应用可加工性的发展有用外，该模型还可以为车削操作中使用的刀具设计创新的切屑槽几何形状。该奖项可能会使人们对刀具与切削齿之间复杂的相互作用有一个基本的了解，并开发一个精确的模型来预测3d切削齿的流动、卷曲和断裂过程，以及相应的应力、应变和温度。该研究具有重要的实际意义，特别是对于不间断自动化加工中的全芯片控制。

9713932 Jawahir The awarded research is aimed at developing a comprehensive predictive model for turning operations. Quantitative experiments will be conducted to classify various groups of chip flow, curl mechanisms, and breaking mechanisms for the development of appropriate relationships for generic turning modeling. Relationships for chip-side and back-flow mechanisms will be developed using fracture mechanics for 3-D chip breaking, as well as techniques for quantifying the effects of tool-chip tribological interactions. The results will be used to develop a predictive model which has a wide range of variability to represent a large spectrum of conditions. Besides being useful to the development of applied machinability for machining systems, this model will enable the design of innovative chip-groove geometries for cutters used in turning operations. This award could lead to a fundamental understanding of the complex tool-chip interactions in turning with grooved tools and the development of an accurate model for predicting 3-D chip flow, curl and breaking processes as well as the corresponding stresses, strains and temperatures. The study is also practically important, especially for total chip control in uninterrupted automated machining.