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Advanced Forging Manufacturing Innovations

Award Information
Agency: Department of Defense
Branch: Defense Logistics Agency
Contract: HQ0147-14-C-8301
Agency Tracking Number: L122-001-0024
Amount: $149,894.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DLA122-001
Solicitation Number: 2012.2
Solicitation Year: 2012
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-06-25
Award End Date (Contract End Date): 2015-06-24
Small Business Information
2545 Farmers Drive Suite 200
Columbus, OH 43235
United States
DUNS: 000000000
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Wei-Tsu Wu
 Executive Vice President
 (614) 451-8322
Business Contact
 Juipeng Tang
Title: President
Phone: (614) 451-8320
Research Institution

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.

* Information listed above is at the time of submission. *

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