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

9713932 Jawahir获奖研究旨在开发车削操作的综合预测模型。定量实验将进行分类的切屑流，卷曲机制，并为通用车削建模的发展适当的关系，打破机制的各种群体。 切屑侧和回流机制的关系将开发使用断裂力学的3-D断屑，以及量化的工具-切屑摩擦相互作用的影响的技术。结果将用于开发预测模型，该模型具有广泛的可变性，以代表大范围的条件。 除了对加工系统的应用可加工性的开发有用之外，该模型还将使车削操作中使用的刀具的创新切屑槽几何形状的设计成为可能。 该奖项可能会导致对带槽刀具车削中复杂的刀具-切屑相互作用的基本理解，并开发用于预测三维切屑流动，卷曲和断裂过程以及相应应力，应变和温度的精确模型。 该研究对于连续自动化加工中的切屑总量控制具有重要的实际意义。

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.