SYstems Science-based design and manufacturing of DYnamic MATerials and Structures (SYSDYMATS)

系统 基于科学的动态材料和结构设计和制造 (SYSDYMATS)

• 批准号: EP/R032793/1
• 负责人: Zi-Qiang Lang
• 金额: $ 204.84万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR032793%2F1
• 关键词: SYstems; Science; based; design; manufacturing

Materials and structures in many engineering systems are often subject to dynamic loads, which place challenging constraints and requirements on their design and manufacturing. For example, aerodynamic loads can induce significant vibrations of bladed disks of turbo-machinery potentially causing high cycle fatigue, with major implication on the cost, safety, and reliability of engines, significant efforts are regularly necessary during design to prevent the vibration problems. A wide range of research studies have been conducted to address these challenges with current activities mainly focusing on the development of more advanced and effective techniques for finite element modelling, simulation, and optimization. These are gradually extending the framework of the current state-of-the-art, but one of the main challenges remain, which is: "how to produce a high-fidelity reduced order model and conduct the reduced order model-based design for engineering materials and systems that need to withstand demanding dynamic loads". In order to fundamentally resolve the challenges, this project will develop an innovative digital manufacturing methodology based on the complex systems science and demonstrate the effectiveness and significance of the novel method in three case studies supported by the end users and stakeholders in the UK, including Rolls-Royce plc, Wilson Benesch (sound/acoustics), Thomas Swann Ltd (nanomaterials), MS Research (charity), TISICS (metal matrix composite design and manufacturing), Carter Manufacturing (bearings for railway applications), and MSC Software (digital manufacturing software). The project involves a close multidisciplinary collaboration between the researchers in system and control, mechanical and structure engineering, and materials science from University of Sheffield, University of Bristol, Imperial College, and University of Derby. The achievements are expected to significantly facilitate the fulfilment of the EPSRC vision for Manufacturing the Future, resolving serious challenges related to digital manufacturing and more effectively addressing high-value and specialist design and manufacturing of aerospace systems, advanced materials, and next generation railway system components. These can potentially produce significant benefits to future design and manufacturing activities centred around core UK plc industries.

许多工程系统中的材料和结构经常受到动态载荷的影响，这对其设计和制造提出了挑战性的约束和要求。例如，空气动力学载荷可以引起涡轮机械的叶片盘的显著振动，这可能导致高循环疲劳，对发动机的成本、安全性和可靠性具有重大影响，在设计期间经常需要大量的努力来防止振动问题。已经进行了广泛的研究，以应对这些挑战，目前的活动主要集中在开发更先进和有效的有限元建模，模拟和优化技术。这些都在逐步扩展当前最先进的框架，但仍然存在一个主要的挑战，这是：“如何产生一个高保真的降阶模型，并进行降阶模型为基础的设计，需要承受苛刻的动态载荷的工程材料和系统”。为了从根本上解决这些挑战，该项目将开发一种基于复杂系统科学的创新数字制造方法，并在英国最终用户和利益相关者（包括劳斯莱斯）支持的三个案例研究中证明该新方法的有效性和重要性。罗伊斯plc、Wilson Benesch（声音/声学）、托马斯斯旺有限公司（纳米材料）、MS研究（慈善）、TISICS（金属基复合材料设计和制造）、卡特制造（铁路应用轴承）和MSC软件（数字制造软件）。该项目涉及来自谢菲尔德大学、布里斯托大学、帝国理工学院和德比大学的系统与控制、机械与结构工程和材料科学研究人员之间的密切多学科合作。预计这些成就将大大促进EPSRC未来制造愿景的实现，解决与数字制造相关的严峻挑战，并更有效地解决航空航天系统，先进材料和下一代铁路系统部件的高价值和专业设计和制造。这些可能会产生显着的好处，未来的设计和制造活动围绕核心英国plc行业。

项目成果

Design and Characterisation of a Muscle-Mimetic Dielectrophoretic Ratcheting Actuator

• DOI: 10.1109/lra.2022.3149039
• 发表时间: 2022-04-01
• 期刊: IEEE ROBOTICS AND AUTOMATION LETTERS
• 影响因子: 5.2
• 作者: Garrad, Martin;Zadeh, Mohammad Naghavi;Rossiter, Jonathan
• 通讯作者: Rossiter, Jonathan

Nonlinear Structures & Systems, Volume 1 - Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022

非线性结构

• DOI: 10.1007/978-3-031-04086-3_9
• 发表时间: 2023
• 作者: Lee K

Controlling and engineering systems for the benefit of all

造福所有人的控制和工程系统

• DOI: 10.33424/futurum319
• 发表时间: 2022
• 期刊: Futurum Careers
• 作者: Lang Z

Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design

• DOI: 10.1109/tcst.2022.3171130
• 发表时间: 2022
• 期刊: IEEE Transactions on Control Systems Technology
• 影响因子: 4.8
• 作者: A. Kadochnikova;Yunpeng Zhu;Z. Lang;V. Kadirkamanathan

Hierarchical network structural composites for extraordinary energy dissipation inspired by the cat paw

• DOI: 10.1016/j.apmt.2021.101222
• 发表时间: 2021-10-22
• 期刊: APPLIED MATERIALS TODAY
• 影响因子: 8.3
• 作者: Lu, Wenjiang;Zhang, Qicheng;Peng, Hua-Xin
• 通讯作者: Peng, Hua-Xin