SBIR/STTR Research Award

Advanced Technologies for Discrete-Parts Manufacturing

Award identifier c9ec9305d7a941e6d1121c27eec15e5764fe935621f5c689d81ae3d5c9e21621Awarding agency Department of Defense · Defense Logistics Agency

Award amount

$99,999

Program and phase

SBIR · Phase I

Award year

2009

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Award details

Awarding agency
Department of Defense
Branch
Defense Logistics Agency
Recipient company
MANUFACTURING LABORATORIES, INC.
Proposal award date
2009-03-04
Contract end date
2010-03-04
UEI
Not reported
Solicitation number
2008.3
Topic code
DLA08-001

Research abstract

Significant advances have been made in machining technology, most notably machining centers capable of spindle speeds and feedrates that are an order of magnitude higher than conventional. However, the use of this new technology requires much more technical expertise, and experience and intuition are no longer sufficient. Specifically, machine tool productivity can be greatly enhanced if information related to machine tool dynamics can be measured and presented to the user in a way that facilitates intelligent selection of the cutting conditions. Chatter in machine tools is cause by inadequate information about the process limitations imposed by machine tool dynamics. Although chatter is a phenomenon for which a solution is well-known in academia, it is still the most problematic condition experienced in machining operations. Through this research project, Manufacturing Laboratories, Inc. (MLI) will create a new Machine Tool Integrated Multisensor Chatter Detection and Avoidance System (MICA) to address exactly this problem. There is a distinct need to transition the existing technologies available for chatter detection from a user-intensive process to an automatic process integrated into existing machine tools. MICA will provide real-time data to the machine controller allowing adjustment of the machining parameters, avoiding chatter. MICA will build on MLI’s patented Harmonizer, by (1) extending its functionality to include the ability to accept signals from multiple sensors, extending its diagnosis capability to lower frequency ranges, (2) providing a machine-integrated solution instead of a handheld manual device (3) identifying methodologies to adapt the chatter recognition theory to include specialty cutters. We have already identified this need within the market and have made strategic agreements with two leading machine tool suppliers, who will provide additional support for this research.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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