课题基金 / 基金详情

GOALI: Multiresolution Algorithms for Virtual Prototyping of Massive CAD Models

GOALI: Multiresolution Algorithms for Virtual Prototyping of Massive CAD Models
GOALI:用于大规模 CAD 模型虚拟原型设计的多分辨率算法
批准号:
0400134
负责人:
Dinesh Manocha
金额:
$38.28万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-07-01 至 2008-06-30

项目摘要

项目成果

Dinesh Manocha的其他基金

相似基金

相关文献

中文摘要
翻译
该研究预计将通过一种新颖的“多分辨率”框架,结合虚拟样机,为以人为中心、基于仿真的工程设计奠定科学基础。虚拟样机通常用于缩短设计时间,降低生产成本,提高开发不同规模机械部件的创新水平:从纳米级机器人等纳米尺寸的物体,到由数百万个部件组成的复杂系统(如飞机,发电厂和潜艇)的大型人工计算机辅助设计。这个项目的重点是通过创建基于“多分辨率”框架的新算法和系统来推进对设计过程的基本理解。这个框架描述了不同尺度上的几何、空间排列、数值和物理模拟。要解决的关键问题包括可视化的实现、建模和仿真技术、新的细节级表示和用于交互显示的新型多分辨率算法、接近查询和基于物理的大规模CAD模型的仿真和操作。为了确保框架和集成算法与工程设计的相关性,将通过工业合作者和GOALI合作伙伴提供的高度复杂或大规模CAD模型的虚拟样机进行测试和验证。随着工程设计的日益复杂,这种方法有望通过跨尺度的充分建模,提供机械、物理或生物系统中多个实体之间的相互作用,为大尺寸问题提供强大而有效的解决方案。该系统不仅可以减少与复杂机械系统的设计和审查过程相关的时间和成本;它还具有为电子维修培训生成有效动画序列的潜力。通过可视化工具的力量与初高中学生联系起来,学生可以体验到复杂系统(如飞机)中结构的虚拟操作,预计将提高对工程设计教育的兴趣。与波音公司的合作将提供验证框架的能力,并通过介绍真实的工程设计问题来吸引K-12学生的兴趣。
英文摘要
The research is expected to lay the scientific foundation for human centric, simulation-based engineering design through a novel "multiresolution" framework that incorporates virtual prototyping. Virtual prototyping is often used to reduce design time, lower production cost, and improve the level of innovation in developing mechanical parts of varying scale: from nanometer-sized objects such as nanoscale robots, to large man-made computer aided design of complex systems such as airplanes, power plants and submarines composed of millions of parts. This project focuses on advancing the fundamental understanding of the design process through the creation of novel algorithms and systems that are based on the "multiresolution" framework. This framework describes geometry, spatial arrangements, numerics, and physical simulation across different scales. Key issues to be addressed include the realization of visualization, modeling and simulation techniques, new level-of detail representations and novel multiresolution algorithms for interactive display, proximity query and physics-based simulation and manipulation of massive CAD models. To ensure the relevance of the framework and incorporated algorithms to engineering design, tests and validation will be conducted through the virtual prototyping of highly complex or massive CAD models provided by the industrial collaborators and GOALI partner. With the increasing complexity of engineering design, it is expected that this approach could potentially offer robust and efficient solutions to large size problems by adequately modeling across the scales, providing mutual interaction among the multiple entities in mechanical, physical or biological systems. The system is envisioned to not only reduce the time and costs associated with the design and review process of complex mechanical systems; it also has the potential of generating effective animation sequences for electronic maintenance training. Outreach to middle and high schools students, linked through the power of the visualization tools where students could experience virtual manipulation of structures within a complex system such as an airplane is expected to raise the interest in engineering design education. The collaboration with Boeing will provide both the ability to validate the framework and to capture the interest of K-12 students through the introduction to real engineering design problems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
I-Corps: Learning-based Navigation Technology-enabled Service Robots for the Retail Industry
EAGER: CPR-COVID-19 Prevention Robot in Dense Areas
  • 批准号:
    2031901
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.0万
  • 财政年份:
    2020
  • 负责人:
    Dinesh Manocha
  • 依托单位:
II-NEW: A Robot Testbed for Real-Time Motion Strategies and Autonomous Personal Assistants
Travel Support for Workshop on Modeling, Simulation and Visual Analysis of Large Crowds
海外基金