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

车削加工中断屑的 3D 循环切屑形成的预测建模和验证

• 批准号: 9713932
• 负责人: Ibrahim Jawahir
• 金额: $ 20.19万
• 依托单位: University of Kentucky Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9713932&HistoricalAwards=false
• 关键词: Predictive; Modeling; Validation; Cyclic; Chip

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.

9713932贾瓦希尔获奖研究旨在为车削作业开发一个全面的预测模型。将进行定量实验，对各种切屑流动、卷曲机制和破碎机制进行分类，以发展适用于通用车削建模的关系。切屑侧和回流机制的关系将使用三维切屑断裂的断裂力学以及量化工具-切屑摩擦学相互作用的影响的技术来建立。结果将被用来开发一个预测模型，该模型具有广泛的可变性，以代表大范围的条件。该模型不仅有助于开发加工系统的实用可加工性，还将为车削作业中使用的刀具设计创新的切屑槽几何形状。这一奖项可能会使我们从根本上了解车削凹槽刀具时复杂的刀具-切屑相互作用，并开发一种准确的模型来预测3D切屑流动、卷曲和折断过程以及相应的应力、应变和温度。该研究对不间断自动化加工中的切屑总量控制也具有重要的实际意义。