I-Corps: Hardness and Virtual Fatigue Test Analysis

I-Corps项目的更广泛的影响/商业潜力将集中在提高产品开发团队的设计过程效率上。该项目将探索基于网络的软件的实现，该软件将具有可扩展性、成本效益和综合性。目前，由于高昂的许可和运营成本，许多中小型制造商无法负担长期的仿真软件。为了确保耐用性，他们在很大程度上依赖于一系列全尺寸的物理测试。能够负担得起现有软件套件的制造商仍然使用大量的物理测试，因为模拟结果并不完全足够。这种创新技术允许智能设计的变化和改进，在原型设计和测试之前以所有制造商负担得起的价格实施。这可以显著减少行业对物理测试的依赖，而物理测试会增加设计时间和产品开发成本。I-Corps项目依赖于材料的多尺度硬度特性与其长期疲劳性能之间的创新关系。该技术通过测量材料的硬度，可以预测产品的长期寿命。目前，耐久性模拟是利用有限元分析模拟和实验获得的材料疲劳性能进行的，忽略了硬度和粗糙度等重要的加工性能。因此，这种模拟通常不够准确，无法预测产品的长期性能，因此需要进行物理测试以进行验证。在这种模拟中包含通过硬度测试获得的加工参数，使设计人员能够考虑许多其他影响材料的因素，并创建更健壮和全面的模拟。这种对长期产品性能的更准确的预测可以大大减少验证产品是否准备好上市所需的物理测试量。使用硬度测试的多尺度材料特性，提出的基于网络的软件解决方案将能够帮助产品工程师在设计决策中考虑任何新零件或修改零件的长期性能。

The broader impact/commercial potential of this I-Corps project will be focused on improving design process efficiency for product development teams. This project will explore implementation of a web-based software that will be scalable, cost effective and comprehensive. Currently, many small to medium manufacturers cannot afford long-term simulation software due to high licensing and operating costs. To ensure durability, they rely heavily on a series of full-scale physical tests. Manufacturers who can afford existing software suites still utilize extensive physical testing, as simulation results are not solely adequate. This innovative technology allows for intelligent design changes and improvements to be implemented prior to prototyping and testing at an affordable rate for all manufacturers. This can significantly reduce the industry's reliance on physical testing, which can increase design time and product development costs.This I-Corps Project relies on an innovative relationship between the multi-scale hardness properties of a material and its long-term fatigue performance. By measuring the hardness of material, the technology can predict long-term product life. Currently, durability simulations are performed utilizing finite element analysis simulations and experimentally obtained material fatigue properties, neglecting important processing properties such as hardness and roughness. As a result, such simulations are often not accurate enough to predict the long-term performance of a product and thus necessitating physical testing for verification. The inclusion of processing parameters obtained through hardness testing in such simulation allows the designer to take into account many other contributing material factors and create a more robust and comprehensive simulation. This more accurate prediction of long-term product performance can drastically reduce the amount of physical testing necessary to verify a product is ready for the market. Using the multi-scale material properties from the hardness test, the proposed web-based software solution will be able to assist product engineers in design decisions regarding long term performance in any new or modified part.