Feedrate Selection for Numerically Controlled Machining Based on Part Tolerance

基于零件公差的数控加工进给速度选择

• 批准号: 9622612
• 负责人: Barry Fussell
• 金额: $ 19.79万
• 依托单位: University of New Hampshire
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-07-01 至 2000-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9622612&HistoricalAwards=false
• 关键词: Feedrate; Selection; Numerically; Controlled; Machining

9622612 Fussell This project will integrate three types of machining models: geometric models for determining chip loads, mechanistic models for predicting forces and deflections from chip loads, and inverse mechanistic models to find the feedrate needed for a specified force or surface finish. The technical approach will use a variable mesh Z-buffer to determine chip loads, both volumetric centroid and discrete volumetric centroid mechanistic models to predict milling forces and cutter deflection, and will develop numerical techniques that determine a feedrate to maintain a specified deflection and surface finish limits. These are the modeling elements needed to automatically select feedrates when machining contoured surfaces. Using these predicated feedrates, experiments will be conducted at Turbocam, a firm that will provide time on a five-axis machining center. Results of this research, which include modeling, computation and experiment, will be a feedrate optimization method that is computationally efficient, so as to be transferable to industry, allowing improved productivity and workpiece quality in complex multi-axis Computer Numerical Control (CNC) machining.

9622612 Fussell 该项目将集成三种类型的加工模型：用于确定切屑负载的几何模型、用于预测切屑负载的力和偏转的机械模型以及用于查找指定力或表面光洁度所需的进给率的逆机械模型。 该技术方法将使用可变网格 Z 缓冲区来确定切屑负载，使用体积质心和离散体积质心机械模型来预测铣削力和刀具偏转，并将开发确定进给速率以维持指定偏转和表面光洁度限制的数值技术。 这些是加工轮廓曲面时自动选择进给率所需的建模元素。 Turbocam 将利用这些预测的进给率进行实验，该公司将在五轴加工中心上提供时间。 这项研究成果包括建模、计算和实验，将成为一种计算效率高的进给率优化方法，以便可转移到工业领域，从而提高复杂多轴计算机数控（CNC）加工中的生产率和工件质量。