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STTR Phase II: A Multi-Axis Planning System (MAPS) for Direct Fabrication Processes

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0822739
Agency Tracking Number: 0637796
Amount: $500,000.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MI
Solicitation Number: NSF 06-553
Solicitation Year: 2006
Award Year: 2008
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
11513 Pine Forest Dr.
Rolla, MO 65401
United States
DUNS: 148054179
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Jianzhong Ruan
 (573) 578-6799
Business Contact
 Jianzhong Ruan
Title: PhD
Phone: (573) 578-6799
Research Institution
 University of Missouri
 Frank Liou
1870 Miner Circle
Rolla, MO 65401
United States

 (573) 341-4603
 Nonprofit College or University

This Small Business Technology Transfer (STTR) Phase II research project focuses on the development of an innovative Multi-Axis Planning System (MAPS), for layered manufacturing processes. By enabling current direct metal deposition systems to fully control and utilize multi-axis capability to make complex parts, MAPS will enable fully-automated process planning for multi-axis layered manufacturing processes to directly control metal deposition machines used in automated fabrication. The building of complicated shapes without support structures is a major challenge for current direct metal deposition processes. This proposed Phase II research will continue to research and develop the 'centroidal axis' algorithm in multi-axis slicing, with an emphasis on completeness and robustness for complicated shapes such as geometry with multiple loops and internal structures. This algorithm will allow manufacturing systems to handle parts with multiple loop features. Additional features to be developed under this Phase II project include a deposition visibility map for efficient computation on the collision-free slicing/deposition sequence in a multi-axis scenario, and a '3-D layer' toolpath generation which will provide an alternative turning algorithm for the deposition process. The proposed project will impact the manufacturing industry by incorporating fully-automated multi-axis control capability into the rapid manufacturing industry to produce fully functional metal parts with complicated shapes. This capability will lead to dramatic reductions in lead time and manufacturing
costs for high-value, low-volume components with high performance material. Assuming the outcomes are successful, the project will several segments such as aerospace, military, motor sports, automotive, industrial machinery, medicine, dentistry, and consumer products.

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

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