Prediction of Tool Wear Rate and Pattern during Metal Cutting

金属切削过程中刀具磨损率和模式的预测

• 批准号: RGPIN-2014-06223
• 负责人: Ng, EuGene
• 金额: $ 1.75万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612100
• 关键词: Prediction; Tool; Wear; Rate; Pattern

Tool wear rate is highly dependent on factors like contact pressure, interface contact velocity, temperature, material properties and surface roughness. Over the last half century, limited tool wear models were developed to predict tool life, tool wear rate and pattern during metal cutting. Accurate and important knowledge on predicting the effect of tool microstructure on tool wear rate and tool wear pattern during metal cutting will enable researchers and engineers to optimize machining parameters for high value components, leading to enhanced part quality as well as reducing part distortion and minimizing post machining processes. Unfortunately very few research publications to investigate the effect of tool material microstructure on tool wear rate and wear pattern models are found. The long term objective of this research is to develop numerical models to predict tool wear rate and pattern during metal cutting. This research will develop a semi numerical and empirical approach to determine the coefficient of friction and experimentally investigate the effect of surface roughness on the coefficient of friction. A unique tribological test configuration will be designed to determine the coefficient of friction under high contact stress and at elevated temperature. To create such contact conditions that are similar in metal cutting, the orthogonal cutting configuration will be modified. A finite element (FE) model will be used to predict the normal contact pressure and interface temperature. Following on from here, an unique methodology will be developed to calibrate tool wear model constants with limited or few experimental parameters. The calibration constants will be a function of tool carbide particle size, which is a unique aspect of this research. An orthogonal cutting FE model will be developed to model the effects of tool microstructure and the worn geometry and shape of the cutting edge on normal contacting stress, interface sliding velocity, and along the interface contacting temperature. The orthogonal cutting model will initially employ the Arbitrary Lagrangian and Eulerian (ALE) formulation technique to simulate the transient cutting process. Once the model reaches steady state, the model will then switch from ALE to Eulerian formulation by controlling the remeshing boundary conditions. This approach will significantly reducing computational time. This will reduce calibration time and improve tool wear rate prediction. Lastly, this research will develop a physics-based approach to simulate tool wear pattern and rate of wear during orthogonal cutting using the FE method only. In order to simulate wear rate and pattern, an erosion subroutine must be incorporated into the tool wear model. The erosion subroutine will comprise an erosion criterion and an element deletion scheme. The erosion criterion will be a function of hydrostatic pressure, Von Mises stress and temperature. The element deletion scheme will be activated when the erosion criterion has been met. This scheme will remove the element from the tool's body, generate a new tool surface geometry, and transfer the loading and boundary conditions to this new surface. Extensive experiments will be performed to validate the models. This research will contribute to raise the visibility of Canadian effort in physics based tool wear pattern modelling. The expected research outcomes will establish Canada as one of the top research countries on using FE method to model the effect of tool microstructure on tool wear pattern and tool wear rate

刀具磨损率高度依赖于接触压力、界面接触速度、温度、材料性质和表面粗糙度等因素。在过去的半个世纪里，有限的刀具磨损模型被发展用来预测金属切削过程中的刀具寿命、刀具磨损率和磨损模式。预测金属切削过程中刀具微观结构对刀具磨损率和刀具磨损模式的影响的准确和重要的知识将使研究人员和工程师能够优化高价值部件的加工参数，从而提高零件质量，减少零件变形并最大限度地减少后加工过程。不幸的是，很少有研究出版物，以调查刀具材料的微观结构对刀具磨损率和磨损模式模型的影响。 本研究的长期目标是开发数值模型来预测金属切削过程中的刀具磨损率和磨损模式。本研究将发展一种半数值和经验的方法来确定摩擦系数，并通过实验研究表面粗糙度对摩擦系数的影响。将设计一种独特的摩擦学测试配置，以确定高接触应力和高温下的摩擦系数。为了创建类似于金属切削的接触条件，将修改正交切削配置。将使用有限元（FE）模型预测法向接触压力和界面温度。从这里开始，将开发一种独特的方法来校准有限或很少的实验参数的刀具磨损模型常数。校准常数将是刀具碳化物颗粒尺寸的函数，这是本研究的一个独特方面。将开发一个正交切削有限元模型来模拟刀具微观结构和磨损的几何形状和切削刃形状对法向接触应力、界面滑动速度和沿着界面接触温度的影响。正交切削模型将首先采用任意拉格朗日和欧拉（ALE）公式技术来模拟瞬态切削过程。一旦模型达到稳定状态，模型将通过控制重新网格化边界条件从ALE切换到欧拉公式。这种方法将大大减少计算时间。这将减少校准时间并改善刀具磨损率预测。最后，本研究将发展一种以物理为基础的方法，仅使用有限元方法来模拟正交切削过程中的刀具磨损模式和磨损率。为了模拟磨损率和模式，侵蚀子程序必须纳入刀具磨损模型。腐蚀子程序将包括腐蚀标准和元素删除方案。侵蚀标准是静水压力、Von Mises应力和温度的函数。当腐蚀标准得到满足时，将激活元素删除方案。该方案将从刀具主体中移除元素，生成新的刀具表面几何形状，并将载荷和边界条件传递到该新表面。将进行大量的实验来验证模型。 这项研究将有助于提高加拿大在基于物理的刀具磨损模式建模方面的努力的可见度。预期的研究成果将使加拿大成为使用有限元方法模拟刀具微观结构对刀具磨损模式和刀具磨损率影响的主要研究国家之一