CHS: Small: Collaborative Research:Dynamic Computer-Aided Machining: Supporting Interactive Workflows for Digital Fabrication and Manufacturing
CHS: Small: Collaborative Research:Dynamic Computer-Aided Machining: Supporting Interactive Workflows for Digital Fabrication and Manufacturing
批准号:
2007094
负责人:
Jennifer Jacobs
金额:
$24.92万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30
中文摘要
该项目将开发与小批量制造工作流程相一致的数字制造工具。它将研究早期采用者制造公司如何开发利用数字制造的生产工作流程。根据这些数据,将开发编程表示和软件工具,以促进特定数字制造工作流程的创建。这些软件工具将从最终用户的角度开发,提供编程抽象,允许与现有数字制造设备兼容的高水平创意输入。3D打印等数字制造技术使利基、专业和定制产品从大规模制造转向小批量生产。小型制造企业依靠数字制造来设计和生产新产品;他们使用迭代过程开发特定于产品的工作流程,以不同的形式应用数字制造的主要阶段(数字建模,机器编程和机器操作)进行构思,原型设计,修改和生产。这项研究将通过提供与传统艺术和手工艺领域相关的技术,以及促进旨在吸引利基和多样化客户的各种商品的本地制造,扩大和多样化参与数字制造和最终用户编程。这项研究将建立特定领域的编程表示和软件工具,用于描述和执行动态数字制造工作流程。目前,还没有一种正式的描述语言可以用来描述数字制造操作在全球范围内。这项研究将有助于数字制造表示和编程环境,使端到端的数字制造工作流程的描述。该表示将为机器状态、用户输入和传感器反馈提供通用数据库,这些数据库可以互换使用,以创建几何形状和刀具路径,或驱动机器操作。它还将通过条件、循环和模块化抽象来支持复杂工作流程架构的表达。编程环境将建立在这种表示的基础上,使从业人员能够通过建模、机器编程和机器操作的统一艾德界面来定义和执行产品特定的工作流程。这项工作将大大推进人机交互的研究工作,在交互式制造和最终用户编程,通过提供通用的编程工具,指定动态的机器behaviors.This奖项反映了NSF的法定使命,并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。
英文摘要
This project will develop digital fabrication tools that align with the workflows of low-volume manufacturing. It will study how early-adopter manufacturing firms are developing production workflows that harness digital fabrication. Informed by this data, programming representations and software tools will be developed that facilitate the creation of specific digital fabrication workflows. These software tools will be developed from an end-user perspective, providing programming abstractions that allow for high-level creative input that is compatible with existing digital fabrication equipment. Digital fabrication technologies such as 3D printing enable a shift from mass-manufacture to low-volume production of niche, specialized, and customized products. Small manufacturing firms rely on digital fabrication for the design and production of new products; using an iterative process they develop product-specific workflows that apply the primary stages of digital fabrication (digital modeling, machine programming, and machine operation) in different forms for ideation, prototyping, revision, and production. This research will broaden and diversify participation in digital fabrication and end-user programming by providing technologies that are relevant to traditional art and craft domains, as well as facilitating local manufacture of a diversity of goods designed to appeal to niche and diverse customers. This research will establish domain-specific programming representations and software tools for describing and executing dynamic digital fabrication workflows. At present, there is no formal description language that can be used to describe digital fabrication operations at a global level. This research will contribute a digital fabrication representation and programming environment that enables the description of end-to-end digital fabrication workflows. The representation will provide generic datatypes for machine state, user input, and sensor feedback that can be used interchangeably to create geometry and toolpaths, or drive machine operation. It will also support the expression of complex workflow architecture through conditionals, loops, and abstractions for modularization. The programming environment will build on this representation to enable practitioners to define and execute product-specific workflows through a unified interface for modeling, machine programming, and machine operation. This work will substantially advance human-computer interaction research efforts in interactive fabrication and end-user programming by providing generalizable programming tools for specifying dynamic machine behavior.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(6)
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Remote Learners, Home Makers: How Digital Fabrication Was Taught Online During a Pandemic
远程学习者、家庭制造商:大流行期间如何在线教授数字制造
DOI:
10.1145/3411764.3445450
发表时间:
2021
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
[Benabdallah, Gabrielle, Bourgault, Sam, Peek, Nadya, Jacobs, Jennifer]
通讯作者:
Jacobs, Jennifer
DOI:
10.1145/3609328
发表时间:
2023-07
期刊:
ACM Transactions on Computer-Human Interaction
影响因子:
3.7
作者:
[Mare Hirsch;Gabrielle Benabdallah;Jennifer Jacobs;Nadya Peek]
通讯作者:
Mare Hirsch;Gabrielle Benabdallah;Jennifer Jacobs;Nadya Peek
DOI:
10.1145/3544548.3580745
发表时间:
2023-04
期刊:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
[Samuelle Bourgault;Pilar Wiley;Avi Farber;Jennifer Jacobs]
通讯作者:
Samuelle Bourgault;Pilar Wiley;Avi Farber;Jennifer Jacobs
DOI:
10.1145/3411764.3445653
发表时间:
2021-05
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
作者:
[Hannah Twigg-Smith;Jasper Tran O'Leary;Nadya Peek]
通讯作者:
Hannah Twigg-Smith;Jasper Tran O'Leary;Nadya Peek
Special Interest Group on Creativity and Cultures in Computing
计算机创造力和文化特别兴趣小组
DOI:
10.1145/3544549.3583175
发表时间:
2023
期刊:
ACM
影响因子:
--
作者:
[Kato, Jun, Frich, Jonas, Lu, Zhicong, Jacobs, Jennifer, Nakakoji, Kumiyo, Latulipe, Celine]
通讯作者:
Latulipe, Celine
共 6 条
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依托单位:
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