Cybermanufacturing Systems | Apply Online

Opportunity Summary:

The National Science Foundation (NSF) Cybermanufacturing Systems (CM) Program funds fundamental research aimed at reshaping how manufacturing capabilities are accessed and delivered over networks. The core vision is a manufacturing ecosystem where services are available on demand through cloud-hosted applications (apps) that plug into an expandable, interactive architecture. Instead of relying on today s heavy, manufacturer-centric software suites that are costly, difficult to learn, and often require specialized experts to operate, this program is looking to seed a more modular, low-cost, broadly accessible service layer. In that model, innovators and entrepreneurs could both create and consume specialized manufacturing apps that support the entire pathway from early design and ideation to physical fabrication and validation, helping drive what NSF calls an era of cybermanufacturing.

A central idea in the opportunity is the creation of an interoperable, cross-process manufacturing service layer, something like a shared platform that can host many smaller manufacturing apps while still allowing them to work together. NSF emphasizes that manufacturing is not like typical internet content because it carries rich semantic knowledge: process constraints, machine capabilities, material behavior, tolerances, verification requirements, and implicit assumptions that affect whether a part can actually be produced reliably. The program therefore encourages architectures that can steadily incorporate deeper layers of manufacturing knowledge over time, supporting an almost unlimited expansion in content and capability, while keeping applications partitioned (modular) but interoperable (able to communicate and coordinate).

The solicitation highlights a key research tension: balancing generality with tractability in how manufacturing knowledge is represented algorithmically. The program points to the classic integrated-circuit manufacturing example, where automation becomes feasible because design options are constrained to what standardized processes can produce with very high reliability. That restriction makes the translation from design to manufacturing instructions computationally and operationally manageable, and the resulting efficiency and reliability often outweigh the downsides of limiting design freedom. NSF is essentially inviting proposals that explore similar principles in broader manufacturing contexts: how to thoughtfully limit or structure design and process options so automated reasoning, instruction generation, and dependable execution become practical at scale.

NSF lists many relevant research directions, and proposals can address one or several. Examples include frameworks that partition the mechanical design space by part type or application domain to make design-to-manufacturing translation more predictable and automatable. Another area is CAD and design engines that intentionally restrict design choices to manufacturable subsets, including approaches where users start from generic part templates and customize them through a controlled set of parameters. Closely related are product- or domain-specific parametric design apps that connect directly to manufacturing resources and encode process constraints, allowing people without deep process expertise to design parts that can actually be fabricated. Additional topics include software systems that generate and verify machine instructions, tools that guide design for manufacturability, and model-based process and machine controls designed to plug-and-play in tightly integrated, networked environments.

The program also invites work on the operational side of networked manufacturing, such as methods to select and allocate distributed manufacturing resources efficiently, and systems for process and materials selection. It calls out the need for evidence-based certification approaches, including ways to control the visibility of explicit and implicit assumptions (for example, what must be true about a machine calibration, a material batch, or an inspection method for the output to be trustworthy). On the infrastructure side, NSF is interested in system architectures that can be implemented using existing internet protocols, as well as research that identifies specific protocol changes that would materially improve cybermanufacturing. It also emphasizes software and protocols that encourage user-developed, interoperating manufacturing apps across the stack, including computing platforms, operating systems, and middleware. Finally, security and trustworthiness are explicitly in scope, including methods that safeguard individual system elements and integrate them to provide end-to-end assurances across the full chain from design through production.

Collaboration is a strong theme. NSF explicitly encourages joint efforts between engineering and computer science researchers, reflecting the program s blend of manufacturing domain knowledge and computing, networking, and systems challenges. Partnerships with software, networking, internet service, and industrial companies are encouraged as well, including engagement with the National Network for Manufacturing Innovation (NNMI) institutes and their member companies. Projects that include industry collaboration may be submitted as GOALI (Grant Opportunities for Academic Liaison with Industry) proposals, which come with additional requirements governed by the current NSF GOALI solicitation.

From an administrative standpoint, this is an NSF discretionary grant opportunity (Funding Opportunity Number PD 16 018Y) in the science and technology research and development category, associated with CFDA numbers 47.041 and 47.076. Eligibility is listed as unrestricted (open to any type of entity, subject to any clarifications in the full text). Proposals are accepted at any time (no fixed deadline). The listed award ceiling is $600,000, and NSF anticipates making around 10 awards under this opportunity. The opportunity was created and posted on March 15, 2016.

Browse more business programs for Manufacturing Companies

Browse more opportunities from the same agency: NSF

Browse more opportunities from the same category: Science and Technology and other Research and Development

Next opportunity: BLM Utah Goose Creek Milkvetch Conservation Agreement Compliance Monitoring Project

Previous opportunity: Oregon Biodiversity Information Center and Biological Conservation

USGrants.org Applicant Portal:

Are you interested in learning about about how to apply for this government funding opportunity? You can create a free applicant account and receive instant access to our applicant portal that many business owners like you have benefited from.

Apply for PD 16 018Y

 

[Watch] how do funding administrators access proposals?

Applicants also applied for:

Applicants who have applied for this opportunity (PD 16 018Y) also looked into and applied for these:

 

Grant application guides and resources

It is always free to apply for government grants. However the process may be very complex depending on the funding opportunity you are applying for. Let us help you!

Apply for Grants

 

 

Premium leads for funding administrators, grant writers, and loan issuers

Thousands of people visit our website for their funding needs every day. When a user creates a grant proposal and files for submission, we pass the information on to funding administrators, grant writers, and government loan issuers.

If you manage government grant programs, provide grant writing services, or issue personal or government loans, we can help you reach your audience.

Subscribe to Leads

 

Request more information:

Would you like to learn more about this funding opportunity, similar opportunities to "PD 16 018Y", eligibility, application service, and/or application tips? Submit an inquiry below:

Don't forget to subscribe to our grant alerts mailing list to receive weekly alerts on new and updated grant funding opportunities like this one in your email.