Investigation of thermoelastic and dynamic phenomena for improved design and control of manufacturing and tribological systems

研究热弹性和动态现象，以改进制造和摩擦系统的设计和控制

• 批准号: RGPIN-2015-05632
• 负责人: Attia, Mahmoud
• 金额: $ 2.11万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=683145
• 关键词: Investigation; thermoelastic; dynamic; phenomena; improved

This proposal deals with two major issues; high performance machining processes, and predictive capability for fretting wear under complex excitation. These two issues are interrelated, since the integrity of machined surfaces control the tribological behaviour of the component. The proposal consists of the following elements (E1 to E5): ***E1. Integrated Laser Assisted Machining, Cryogenic Cooling and Minimum Quantity Lubrication: The objective is to investigate the synergetic effect of cryogenic cooling (LiN), minimum quantity lubrication on tool wear, productivity. and surface integrity in laser-assisted machining. Process optimized will defined through experimental investigation and process simulation. ***E2. Intermittent Drilling of Composites using Conventional and Superabrasive Tools: A predictive cutting force model was developed, based on a fundamental understanding of FRP composites cutting by a single diamond grain. The model will be extended to predict and optimize the orbital drilling process using superabrasive tools. Vibration-assisted drilling at high frequency-low amplitude regime will also be investigated using conventional tools. ***E3. Detection of Tool Pre-Failure in Turning Processes: The objective is to develop a system to detect unexpected tool breakage in machining. Various signals will be evaluated and special consideration will be given to feature extraction using different signal processing techniques in the time and frequency domains. A multi-sensor fusion model will be developed for 2-way communication with the NC controller. ***E4. Prediction of Machining-Induced Residual Stresses and Micro-structural Changes: A 2D FE model was developed to predict machining-induced residual stress (RS), assuming non-segmental chip formation. To improve prediction accuracy, it is proposed to consider the effects of chip segmentation, flank tool wear, and material phase transformation. For validation, oblique cutting experiments will be conducted for conventional and laser-assisted machining. ***E5. High Temperature Fretting Wear of Superalloys under Pseudo Random Excitation: Following the experiments on the role of surface oxide in fretting wear of cobalt-based superalloys at 550oC, a FE-based model was developed to estimate friction-induced temperature rise, considering the spatial and height random distributions of contact asperities. The applicant's `generalized fretting wear theory', will be extended by considering the effect of: (a) crack initiation and propagation due to frictional heating, (b) oxidation kinetics, and (c) random excitation; an aspect that has not been investigated before. **

该提案涉及两个主要问题。在复杂的兴奋下，高性能加工过程以及刷磨损的预测能力。这两个问题是相互关联的，因为加工表面的完整性控制着组件的摩擦学行为。该提案包括以下要素（E1至E5）：*** E1。集成激光辅助机械，低温冷却和最小量润滑：目的是研究低温冷却（LIN）的协同作用，对工具磨损，生产力的最小润滑。和激光辅助机械中的表面完整性。过程优化将通过实验研究和过程模拟来定义。 *** E2。使用常规和超级缩写工具对复合材料进行间歇性钻探：基于对单个钻石晶粒切割的FRP组成的基本了解，开发了预测切割力模型。该模型将扩展，以使用超级可疑工具来预测和优化轨道钻孔过程。还将使用常规工具研究以高频放大器制度的振动辅助钻孔。 *** E3。在转弯过程中检测工具预付费：目的是开发系统以检测机加工中意外的工具破裂。将评估各种信号，并在时间和频域中使用不同的信号处理技术进行特殊考虑提取特征提取。将开发一个多传感器融合模型，用于与NC控制器的2向通信。 *** E4。预测加工诱导的残余应力和微结构变化：开发了2D FE模型，以预测加工引起的残余应力（RS），假设是非段芯片形成的。为了提高预测准确性，建议考虑芯片分割，侧面工具磨损和材料相变的影响。为了进行验证，将对传统和激光辅助机械进行倾斜切割实验。 *** E5。在伪随机激发下超合金的高温微分磨损：根据对表面氧化物在550oC处的基于钴的超合金磨损磨损中的作用的实验，开发了一种基于FE的模型来估计摩擦诱导的温度升高，考虑到接触的空间和高度随机分布，接触触点的空间和高度随机分布。申请人的“广义式磨损理论”将通过考虑以下效果来扩展：（a）由于摩擦加热，（b）氧化动力学以及（c）随机兴奋而引起的裂纹引发和传播；以前尚未调查的方面。 **