SBIR/STTR Research Award

Advanced Forging Manufacturing Innovations

Award identifier 42ad21a2c7b43b279d0752b160113fd64785e0da3d428c8f29e5acd0ea2dc57cAwarding agency Department of Defense · Defense Logistics Agency

Award amount

$149,894

Program and phase

SBIR · Phase I

Award year

2014

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Defense Logistics Agency
Recipient company
SCIENTIFIC FORMING TECHNOLOGIES CORPORATION
Proposal award date
2014-06-25
Contract end date
2015-06-24
UEI
C3KQLXA83X57
Solicitation number
2012.2
Topic code
DLA122-001

Research abstract

Forging process is widely used in the manufacture of critical mission sensitive components that require high strength and better consistent performance in service conditions. Process modeling for forging processes has been very successful in the last three decades. Modeling forging process serves us a virtual tryout tool and it offers lot more details about the forging process and parts than an expensive, time consuming shop floor trial would. Forging modeling results provide vital information regarding material flow, die fill, potential defect formation, tool failure and microstructure evolution. With increasing complexities of the forged geometries and push for near net shape forging, it is challenging to design an optimum forging progression that will result in reduced material and processing cost while maximizing the quality and robustness of the forged component. Optimization techniques can be effectively used in forging process modeling to achieve the desired goal of reducing the cost while maximizing the quality of the forged product. Sensitivity analysis will help in understanding how variabilities and uncertainties associated with the key processing variables and material properties will impact the forging process design. While manufacturing process modeling capabilities are mature, forging process optimization and sensitivity analysis to evaluate the robustness of forging process and part design is still at a nascent stage. Scientific Forming Technologies Corporation (SFTC) develops and supports forging process modeling system, DEFORM, which is widely used by the forging industry around the globe for the past 20 years. In this project, SFTC is proposing to systematically extend optimization techniques and sensitivity analysis to forging process modeling. During Phase I, SFTC will investigate a modeling framework that enables optimization of the forging processes which will help in minimizing the overall cost of the forging including material input weight and processing cost. SFTC will also investigate the application of sensitivity analysis for forging process modeling, paving the way for robust process design, which may lead to reduced scrap and rework cost. Phase I tasks will demonstrate the technical viability and commercialization potential of forging process optimization methods.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

22 SBIR/STTR records share this UEI (1994–2019). Reported award amounts total $7,381,883. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.