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Machine Tool Genome Project

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-11-C-0063
Agency Tracking Number: 10SB2-0258
Amount: $144,492.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: SB102-005
Solicitation Number: 2010.2
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2011-01-03
Award End Date (Contract End Date): 2011-09-07
Small Business Information
889 South Rainbow Blvd. PMB 690
Las Vegas, NV 89145
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Thomas Delio
 President
 (702) 869-0836
 tdelio@mfg-labs.com
Business Contact
 Thomas Delio
Title: President
Phone: (702) 869-0836
Email: tdelio@mfg-labs.com
Research Institution
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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