Improvement of Modeling Predictions in Friction Stir Welding by More Accurate Measurement of Heat Transfer Between Tooling and Workpiece

通过更准确地测量工具和工件之间的传热来改进搅拌摩擦焊的建模预测

• 批准号: 1935767
• 负责人: Troy Munro
• 金额: $ 34.84万
• 依托单位: Brigham Young University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1935767&HistoricalAwards=false
• 关键词: Improvement; Modeling; Predictions; Friction; Stir

Friction stir welding is a solid-state joining method that is finding increased application in joining aluminum alloys that are very difficult to join by conventional fusion welding processes. Industrial sectors that will directly benefit from better quality welded assemblies include core American industries such as aerospace, light rail, marine, and automotive. However, most friction stir welding development is done by experimental trial-and-error, limiting its impact, and slowing its introduction into potential weight-saving applications. Numerical simulation of friction stir welding began about 20 years ago, with advances made in predicting key process conditions (welding temperatures, material flow) and mechanical joint properties. Unfortunately, the predictive value of these models is limited because order of magnitude variations exist in reported friction and heat transfer coefficient model input values. This research aims to utilize thermal wave techniques to measure heat transfer coefficients more accurately than previously achievable. A better understanding and measurement of heat transfer, leading to improvements in modeling predictions, will speed development of friction stir welding, enabling the production of lighter vehicle structures, safer pressure vessels, and more durable nuclear waste canisters, among others. If successful, the technique can also be applied to conventional machining processes where prior thermal measurement efforts with thermocouples have been indirect and approximate at best. In addition to the technical aspects, this project will engage graduate and undergraduates in research and will provide them with opportunities to interact with industrial users, thus increasing their workforce preparedness. Outreach activities are aimed at the university’s Women in Engineering group, a local technical college’s welding program, and local high school agriculture and technology teachers.The research objective of this work is to determine the feasibility of utilizing thermal waves to measure heat transfer coefficients under dynamic processing conditions. Thermal waves are temperature variations in a material that are created by modulating the intensity of an incident laser heat source and are measured as a modulated change in the optical reflectance of the polished surface of the tool (or baseplate). In this system, the waves penetrate from inside the tool into the workpiece, and the magnitude of the thermal resistance between the two parts changes the measured amplitude and phase of the thermal wave. Heat transfer coefficient values will be obtained by fitting the resulting phase to a multi-layered thermal quadrupole model. To verify this novel metrology technique, a dual fiber optic probe will be designed and placed inside the tool and baseplate to create and detect thermal waves during the welding process. The ability of the probe to accurately measure heat transfer coefficients will be verified by static compression tests between discs of H13 steel and aluminum alloys. The measured values will also be compared to well-established analytical models that predict thermal contact resistances of materials with known surface roughness values and static contact pressures. The measured parameters will then be used as inputs in friction stir welding finite element models to demonstrate how improved input parameter values can advance the predictions of loads, temperatures, and material flow for a range of conditions and tool designs.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

搅拌摩擦焊是一种固态连接方法，其在连接铝合金中的应用越来越多，这些铝合金很难通过常规熔焊工艺连接。 将直接受益于更高质量焊接组件的工业部门包括美国的核心行业，如航空航天，轻轨，船舶和汽车。然而，大多数搅拌摩擦焊的开发都是通过实验性的试错来完成的，这限制了其影响，并减缓了其引入潜在的减重应用。 搅拌摩擦焊的数值模拟始于大约20年前，在预测关键工艺条件（焊接温度，材料流动）和机械接头性能方面取得了进展。 不幸的是，这些模型的预测值是有限的，因为数量级的变化存在于报告的摩擦和传热系数模型输入值。 本研究的目的是利用热波技术来测量传热系数更准确地比以前实现。 更好地理解和测量传热，从而改进建模预测，将加速搅拌摩擦焊的发展，从而能够生产更轻的车辆结构，更安全的压力容器和更耐用的核废料罐等。如果成功的话，该技术也可以应用于传统的机械加工过程中，以前的热测量工作与热电偶已经间接和近似的最好。 除技术方面外，该项目还将使研究生和本科生参与研究，并为他们提供与工业用户互动的机会，从而提高他们的劳动力准备。该项目的对象是该大学的“工程妇女"小组、当地一所技术学院的焊接项目以及当地高中的农业和技术教师。这项工作的研究目标是确定在动态加工条件下利用热波测量传热系数的可行性。热波是通过调制入射激光热源的强度而产生的材料中的温度变化，并且被测量为工具（或基板）的抛光表面的光学反射率的调制变化。在该系统中，波从工具内部穿透到工件中，并且两部分之间的热阻的大小改变热波的测量振幅和相位。传热系数值将通过将所得相拟合到多层热四极模型来获得。 为了验证这种新的计量技术，将设计一个双光纤探头，并放置在工具和基板内，以在焊接过程中产生和检测热波。探头准确测量传热系数的能力将通过H13钢和铝合金圆盘之间的静态压缩测试来验证。测量值还将与成熟的分析模型进行比较，该模型预测具有已知表面粗糙度值和静态接触压力的材料的接触热阻。 测量的参数将被用作搅拌摩擦焊有限元模型的输入，以证明改进的输入参数值如何在一系列条件和工具设计下提高载荷、温度和材料流动的预测。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Optimized Design for a Device to Measure Thermal Contact Conductance During Friction Stir Welding

• DOI: 10.1007/s10765-020-02746-0
• 发表时间: 2020-10-27
• 期刊: INTERNATIONAL JOURNAL OF THERMOPHYSICS
• 影响因子: 2.2
• 作者: Ellis, Daniel;Goodson, Matthew;Munro, Troy
• 通讯作者: Munro, Troy