Design Tool for Cost Effective Reduction of Noise from Enclosed Power Generators (DRONE)

经济有效地降低封闭式发电机 (DRONE) 噪音的设计工具

• 批准号: DT/F006829/1
• 负责人: Jian Wang
• 金额: $ 64.63万
• 依托单位: Queen's University Belfast
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=DT%2FF006829%2F1
• 关键词: Design; Tool; Cost; Effective; Reduction

The aim is to develop a multidisciplinary 'design tool' that encompasses the state-of-the-art knowledge in noise source identification and transmission from enclosed generator sets, for more competitive environmental noise performance. Currently, within the UK based power generation industry, there are no design tools available that have the capability to optimise the design of cluttered enclosures for noise reduction at minimum manufacturing cost, in addressing the noise directive 2000/14/EC. Quantitative information about the performance at conceptual design stage is not known. Expensive mock-ups have to be manufactured to determine their performance, which adversely affects the lead-time and profits. Virtual acoustic validation and costing of manufacture for early conceptual design of power generating sets is very challenging. Specifically there are no tools on the market that link conceptual design parameters, acoustic analysis of those parameters and manufacturing cost. The market targeted for the project is the power generation industry, specifically sound attenuated generator sets, which is highly competitive and globally worth an estimated 2.7billion for products up to 2000kVA. The combination of Industry and Academia in this project will ensure an integrated capability for merging a virtual design and validation process, in terms of noise and manufacturing cost. The project will be led by FG Wilson using 6 Sigma DMEDI methodology. Having this capability at the design stage will result in a new understanding of the product, hence optimised performance weighted against cost. The developed flexible parametric design interface will provide a user-friendly platform to use the toolkit. The mix of partners involved in this project in terms of their role, expertise and strategic motivation has been a major consideration in setting up the consortium. The overall balance of partners includes large users, SMEs, software tool developers and academic experts. This mix represents a group of partners who each have a strong personal motivation in the project. The technical approach will involve the use of computational Indirect Boundary Element (IBE) and experimental approaches to simulate the radiation and scattering of the sound generated and transmitted through an enclosed diesel generator set, which includes an engine, an alternator, and cooling fans. In addition, methods for noise and vibration reduction based on damping and using multi-layer acoustic liner will be developed and implemented. LMS UK Ltd will supply their comprehensive suite of software for acoustic predictions and undertake development, while FG Wilson, the lead organisation, will supply generator sets, of different power ratings. Externally, a Ground Power Unit (GPU) supplied by Houchin Aerospace, will be used as an independent validation exercise. In general, this technology will be highly generic with wide scope ranging from automotive, aerospace, railway and marine through to the construction industry where trade-off in the cost of environmental noise reduction is such a relevant issue. The key innovation of this project hinges on the capture and exploitation of expert knowledge, from multiple technical disciplines, under one environment using numerical modelling techniques, empirical algorithms, industrial manufacturing cost data modelling, and experimentation for evaluation and design data generation for next stage. This will provide engineers with a tangible environment from which to synthetically design inherently cluttered enclosed generator sets, meeting lead-time, competitive cost targets and noise legislative targets.

其目的是开发一种多学科的“设计工具”，包括最先进的知识，在噪声源识别和传输从封闭的发电机组，更具竞争力的环境噪声性能。目前，在英国的发电工业中，在处理噪声指令2000/14/EC时，没有可用的设计工具能够以最小的制造成本优化杂乱外壳的设计以降低噪声。在概念设计阶段的性能的定量信息是未知的。必须制造昂贵的模型来确定其性能，这对交货期和利润产生了不利影响。虚拟声学验证和制造成本的早期概念设计的发电机组是非常具有挑战性的。具体来说，市场上没有将概念设计参数、这些参数的声学分析和制造成本联系起来的工具。该项目的目标市场是发电行业，特别是消声发电机组，这是一个极具竞争力的市场，全球价值估计为27亿美元，产品高达2000 kVA。在这个项目中，工业界和学术界的结合将确保在噪声和制造成本方面合并虚拟设计和验证过程的综合能力。该项目将由FG Wilson领导，采用6 Sigma DMEDI方法。在设计阶段拥有这种能力将导致对产品的新理解，从而优化性能和成本。开发的灵活的参数化设计界面将提供一个用户友好的平台来使用工具包。参与该项目的合作伙伴在作用、专门知识和战略动机方面的组合是建立联合体的主要考虑因素。合作伙伴的总体平衡包括大型用户、中小企业、软件工具开发商和学术专家。这种组合代表了一组合作伙伴，他们每个人在项目中都有强烈的个人动机。技术方法将涉及使用计算间接边界元（IBE）和实验方法来模拟通过封闭柴油发电机组产生和传输的声音的辐射和散射，该发电机组包括发动机，交流发电机和冷却风扇。此外，还将开发和实施基于阻尼和使用多层声衬的降噪和减振方法。LMS UK Ltd将提供用于声学预测的综合软件套件并进行开发，而牵头组织FG Wilson将提供不同额定功率的发电机组。在外部，由Houchin Aerospace提供的地面动力装置（GPU）将用作独立验证练习。一般来说，这种技术将是高度通用的，范围广泛，从汽车，航空航天，铁路和船舶到建筑行业，其中环境降噪成本的权衡是一个相关的问题。该项目的关键创新在于在一个环境下使用数值建模技术、经验算法、工业制造成本数据建模以及下一阶段的评估和设计数据生成实验来捕获和利用来自多个技术学科的专家知识。这将为工程师提供一个有形的环境，从综合设计固有的混乱封闭发电机组，满足交货时间，有竞争力的成本目标和噪音立法目标。

项目成果

Finite Element Model Updating of a Thin Wall Enclosure under Impact Excitation

冲击激励下薄壁外壳的有限元模型更新

• DOI: 10.4028/www.scientific.net/amm.24-25.337
• 发表时间: 2010
• 期刊: Applied Mechanics and Materials
• 作者: David-West O

Evaluation of standards for transmission loss tests

传输损耗测试标准评估

• DOI: 10.1121/1.2933313
• 发表时间: 2008
• 期刊: The Journal of the Acoustical Society of America
• 作者: Cassidy M

NUMERICAL AND EXPERIMENTAL COMPARISON OF THE DYNAMIC PROPERTIES OF ENCLOSURES WITH AND WITHOUT HOLE

有孔和无孔外壳动态性能的数值和实验比较

• 发表时间: 2009
• 作者: Opukuro David-West;Jian Wang;Richard Gault;Richard Cooper
• 通讯作者: Richard Cooper

Collaborative Product and Service Life Cycle Management for a Sustainable World

协作产品和服务生命周期管理，实现可持续发展的世界

• DOI: 10.1007/978-1-84800-972-1_13
• 发表时间: 2008
• 作者: Gault R

SOUND TRANSMISSION THROUGH LIGHTWEIGHT DOUBLE-LEAF PARTITIONS: 3D MODELLING

通过轻质双叶隔断进行声音传输：3D 建模

• 发表时间: 2008
• 作者: J Wang;R I Gault;A Ives;YS Tian;TJ Lu;PF He
• 通讯作者: PF He