Development of a comprehensive process model for accurate prediction of quench induced distortion in a large size aircraft landing gear

开发用于准确预测大尺寸飞机起落架淬火引起的变形的综合过程模型

• 批准号: 536717-2018
• 负责人: Jahazi, Mohammad
• 金额: $ 10.46万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699041
• 关键词: Development; comprehensive; process; model; accurate

The manufacture of a landing gear requires special attention because it is the most mechanically solicited component of an aircraft with very tight geometric tolerances. SAFRAN Landing Systems, a world leader in landing systems, wants to increase its productivity in order to be more competitive. The process of manufacturing a landing gear made of high strength steel includes many machining steps to give the produce the desired geometry and a heat treatment to attain the required mechanical properties. However, the heat treatment process is accompanied by a change in geometry leading to possible part non-conformance thus resulting in an expensive concessions process sometimes ending with part rejection. To avoid this, a predictive model is needed to quantify this change. Improvement by trial and error is very expensive and non-viable. The use of numerical simulation is an interesting choice; however, the heat treatment process involves interactions of different physical domains such as the thermal, metallurgical and mechanical domains, making the problem very complex. Existing simulation models are unable to provide the required accuracy due to over-simplification of the physical models. As a result, the project will aim to deepen knowledge about the thermo-metallo-mechanical interactions involved in the heat treatment process to eventually have a more robust predictive model.

起落架的制造需要特别关注，因为它是飞机中最紧密的几何配置耐受性的机械征集的组件。萨夫兰（Safran）着陆系统是着陆系统领域的领导者，他希望提高其生产力，以提高竞争力。制造由高强度钢制成的起落架的过程包括许多加工步骤，以赋予农产品所需的几何形状和热处理以获得所需的机械性能。但是，热处理过程伴随着几何形状的变化，导致可能的部分不合格，从而导致昂贵的让步过程有时以部分排斥而结束。为避免这种情况，需要一个预测模型来量化这一变化。通过反复试验的改进非常昂贵且不可行。数值模拟的使用是一个有趣的选择。但是，热处理过程涉及不同物理领域的相互作用，例如热，冶金和机械域，使问题非常复杂。由于物理模型的过度简化，现有的仿真模型无法提供所需的准确性。结果，该项目将旨在加深有关热处理过程中涉及的热素机械相互作用的知识，以最终具有更强大的预测模型。