Machine Tool Genome Project

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$99,000.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-11-C-0063
Award Id:
96778
Agency Tracking Number:
10SB2-0258
Solicitation Year:
n/a
Solicitation Topic Code:
DARPA 10-005
Solicitation Number:
n/a
Small Business Information
889 South Rainbow Blvd. PMB 690, Las Vegas, NV, 89145
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Thomas Delio
President
(702) 869-0836
tdelio@mfg-labs.com
Business Contact:
Thomas Delio
President
(702) 869-0836
tdelio@mfg-labs.com
Research Institute:
n/a
Abstract
This project describes research that will lead to the commercialization of the Tool Dashboard, a new technique for pre-process milling parameter selection. In this approach, dynamic models of the cutting tool and holder will be analytically coupled to spindle-machine measurements to predict the tool point dynamics. Given this information, stability lobe diagrams, which display stable and unstable cutting zones as a function of the axial depth of cut and spindle speed, will be constructed. This information will then be used to develop the user-friendly Tool Dashboard interface for parameter selection. By removing the current necessity for a separate measurement of each tool-holder-spindle-machine assembly, the requirements for significant measurement time, specialized measurement equipment, and trained personnel will be eliminated. This method leads to a commercially-viable approach where the spindle-machine dynamics are identified once, archived, and then used to predict the tool point dynamics for any tool-holder combination (analogous to the Human Genome Project that mapped the genes responsible for characteristics of the body). By this approach, users without measurement capabilities or knowledge of structural dynamics/chatter theory can take advantage of the substantial productivity increases and "first part correct" fabrication made possible through pre-process consideration of the milling process dynamics.

* information listed above is at the time of submission.

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