21st Century Prototyping: Improving product prototyping through the integration of physical and digital workflow

21 世纪原型制作：通过物理和数字工作流程的集成改进产品原型制作

• 批准号: EP/W024152/1
• 负责人: Chris Snider
• 金额: $ 43.83万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW024152%2F1
• 关键词: 21st; Century; Prototyping; Improving; product

To design the future of products we need the future of prototyping tools. Across the £30Bn+ consumer product markets, priorities such as demand for non-technical user voice vie against advanced products and tough time/cost targets. These pressures are acutely felt in the prototyping process, where models often number in the 100s for a single product, and are inflexible, technically advanced, and resource-intensive to create. To succeed and evolve prototyping needs to do more, quicker, cheaper, with higher accessibility.This project aims to enhance learning, accessibility, and efficiency during prototyping. It will explore feasibility and value of seamlessly integrating physical and digital prototyping into a single workflow.Recent and rapidly emerging technologies such as mixed reality, haptic interfaces, and gesture control have revolutionised the way we interact with the digital world. It's predicted that this tech will be ubiquitous by 2025, will be disruptive for the next decade, and will drive the way we work and interact across the future digital workplace, with engineering a top-5 sector to realise value. In prototyping, they will break down the physical-digital divide and create seamless experiences, where the strengths of each domain are realised simultaneously.This new physical-digital integrated workflow brings profound opportunities for both engineers and users, supporting technical activities and simplifying communication. Amongst many possibilities users may physically create and feel digital changes to prototypes in real-time, dynamically overlay advanced analyses onto physical models, and support early-stage decision-making with physical-digital, tactile, interactive prototypes. These capabilities will allow more learning per prototype, widen accessibility to technical design and streamline the prototyping process. However, we don't yet know how this exciting vision may be fulfilled, exactly what benefits, value or costs there may be, feasibility of implementation, or effective workflow approaches.The project will explore physical-digital workflow by creating and investigating several demonstrator platforms that combine and apply haptic, mixed reality, and gesture control technologies in targeted prototyping scenarios. Technologies will be explored to understand capability in isolated sprints, before prioritisation and development into focused demonstrator tools that allow us to explore integrated workflow across real prototyping cases, spanning activities, types, and stakeholders. Demonstrators will be evaluated and verified with end-users, industry partners, and the public to establish learning, speed, cost, and usage characteristics.Project outcomes will comprise workflows for integrated prototyping with knowledge of value, effectiveness, feasibility, and future opportunities. A 'toolkit' of implementations will also provide exemplars for industrial partners and academia and lead the effective use of integrated physical-digital workflow in engineering. All software and hardware will be open-sourced via Github and the project webpage, letting global researchers and the public create their own systems and build upon the work. Future work will extend capabilities in line with outcomes of the work, leading to the next generation of engineering design and prototyping tools.Industrial Partners The Product Partnership (Amalgam, Realise Design, and Cubik) and AMRC will bring prototyping, engineers, and end-user expertise and benefit from the workflows and technologies that are developed. OEMs Ultraleap and Autodesk will bring immersive technology expertise and access to cutting edge design systems, and will benefit from case study implementations and studies and future application opportunities. Bristol Digital Futures Institute will facilitate collaboration across 20+ partner businesses and the public, with outputs supporting their mission for digital solutions that tackle global problems.

为了设计产品的未来，我们需要原型设计工具的未来。在超过 300 亿英镑的消费产品市场中，非技术用户语音需求等优先事项与先进产品和艰难的时间/成本目标之间存在着激烈的竞争。原型制作过程中，单个产品的模型数量通常达到 100 个，而且创建起来不灵活、技术先进且需要大量资源。为了成功和发展原型制作，需要做得更多、更快、更便宜，具有更高的可访问性。该项目旨在提高原型制作过程中的学习性、可访问性和效率。它将探索将物理和数字原型制作无缝集成到单个工作流程中的可行性和价值。最近快速出现的技术，例如混合现实、触觉界面。和手势控制彻底改变了我们与数字世界的互动方式。预计到 2025 年，这项技术将无处不在，在未来十年内将具有颠覆性，并将推动我们未来的工作和互动方式。数字工作场所，通过设计前 5 个部门来实现价值，在原型设计中，他们将打破物理与数字鸿沟并创造无缝体验，同时实现每个领域的优势。这种新的物理-数字集成工作流程带来了深远的影响。为工程师和用户提供机会，支持技术活动并简化沟通。用户可以实时创建和感受原型的数字化变化，动态地将高级分析叠加到物理模型上，并通过物理支持早期决策。 -数字的，这些功能将允许对每个原型进行更多学习，扩大技术设计的可访问性并简化原型制作过程。但是，我们还不知道如何实现这一令人兴奋的愿景，以及可能带来哪些好处、价值或成本。该项目将通过创建实施和研究多个演示平台来探索物理数字工作流程，这些平台将触觉、混合现实和手势控制技术结合并应用到目标原型设计能力中。孤立的冲刺，然后确定优先级并开发为有针对性的演示工具，使我们能够探索跨真实原型案例、跨活动、类型和利益相关者的集成工作流程。演示器将与最终用户、行业合作伙伴和公众进行评估和验证，以建立。学习、速度、成本和使用特征。项目成果将包括集成原型制作的工作流程，以及价值、有效性、可行性和未来机会的知识。实施的“工具包”也将为工业合作伙伴提供范例。学术界并领导工程中集成物理数字工作流程的有效使用，所有软件和硬件都将通过 Github 和项目网页开源，让全球研究人员和公众创建自己的系统并在未来的工作基础上进行构建。根据工作成果扩展功能，从而催生下一代工程设计和原型工具。工业合作伙伴 产品合作伙伴（Amalgam、Realize Design 和 Cubik）和 AMRC 将带来原型设计、工程师和最终用户的专业知识并受益于所开发的工作流程和技术。原始设备制造商 Ultraleap 和 Autodesk 将带来沉浸式技术专业知识和尖端设计系统，并将受益于案例研究实施和研究以及未来的应用机会。将促进 20 多家合作伙伴企业和公众之间的合作，其产出支持其解决全球问题的数字解决方案的使命。

项目成果

HOW SHOULD WE PROTOTYPE? ESTABLISHING THE AFFORDANCES OF PROTOTYPING MEDIA AND APPROACHES

我们应该如何制作原型？

• DOI: http://dx.10.1017/pds.2023.213
• 发表时间: 2023
• 期刊: Proceedings of the Design Society
• 作者: Snider C

A HIERARCHICAL MACHINE LEARNING WORKFLOW FOR OBJECT DETECTION OF ENGINEERING COMPONENTS

用于工程组件目标检测的分层机器学习工作流程

• DOI: http://dx.10.1017/pds.2023.21
• 发表时间: 2023
• 期刊: Proceedings of the Design Society
• 作者: Kent L

Data mining prototyping knowledge graphs for design process insights

数据挖掘原型知识图以获取设计流程见解

• DOI: 10.1080/09544828.2024.2302746
• 发表时间: 2024-01-17
• 期刊: Journal of Engineering Design
• 影响因子: 2.7
• 作者: J. Gopsill;L. Giunta;M. Goudswaard;C. Snider;B. Hicks
• 通讯作者: B. Hicks

A Living Lab Platform for Testing Additive Manufacturing Agent-Based Manufacturing Strategies

用于测试基于增材制造代理的制造策略的生活实验室平台

• DOI: http://dx.10.1016/j.procir.2023.03.118
• 发表时间: 2023
• 期刊: Procedia CIRP
• 作者: Giunta L

Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments

适用于 Makerspace 生产环境的最低智能增材制造机器的优化配置

• DOI: 10.1017/s0890060423000239
• 发表时间: 2024-01-17
• 期刊: Artificial Intelligence for Engineering Design, Analysis and Manufacturing
• 作者: J. Gopsill;M. Goudswaard;C. Snider;L. Giunta;B. Hicks
• 通讯作者: B. Hicks