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, MohammadM
• 金额: $ 7.61万
• 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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754312
• 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注意，因为它是飞机上机械要求最高的部件，几何公差非常严格。作为着陆系统领域的全球领导者，赛峰着陆系统公司希望提高其生产力，以增强竞争力。制造由高强度钢制成的起落架的过程包括许多机加工步骤以使产品具有所需的几何形状和热处理以获得所需的机械性能。然而，热处理过程伴随着几何形状的变化，导致可能的零件不合格，从而导致昂贵的让步过程，有时以零件拒收结束。为了避免这种情况，需要一个预测模型来量化这种变化。通过试错法进行改进是非常昂贵和不可行的。使用数值模拟是一个有趣的选择;然而，热处理过程涉及不同物理领域的相互作用，如热，冶金和机械领域，使问题非常复杂。现有的仿真模型由于物理模型过于简化而无法提供所需的精度。因此，该项目的目标是加深对热处理过程中涉及的热-金属-机械相互作用的了解，最终建立一个更强大的预测模型。