SBIR/STTR Research Award

A 3-D Machine Tool Error Modeling System

Award identifier 8f3e0bc6d9fa7b5e9e015d6f1672f2ff1f581ec375136195d66eb1f378ff58f3Awarding agency Department of Commerce

Award amount

$50,000

Program and phase

SBIR · Phase I

Award year

1997

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Commerce
Branch
Not reported
Recipient company
AUTOMATED PRECISION, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
LR8MS4H7N2U5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

In response to the increasing demand for better understanding of the manufacturing processes and the machining systems, a new testing standard--ASME B5.54 and a family of new testing instruments have been developed for evaluating the performances of a variety of CNC machining centers. Because of the advancement and versatility of the new instruments, test data are being collected at a much higher rate and complexity than with the conventional dial- gage or straight-edge techniques. This calls for a more intelligent way to present the potential machine errors and the part errors than the conventional X-Y plots of errors versus machine axis travel. A means of presenting the potential machine and part errors proposed in here is to use computer emulation. This proposal describes a plan to develop a 3-D Machine Error Modeling System which can emulate the part cutting process on a machine and eventually display the part errors a 3-D solid model fashion. The work plan will begin with a detail analysis of some 200+ machine measurement data files to identify the machine error sources and the type of instruments used to perform the measurements. A 2-D machine error modeling system will first be developed and then expanded to a 3-D modeling capability. In Phase II, the work will be expanded to include developing advanced machine and part error modeling techniques which can then be used to develop corrective actions for the entire manufacturing process. It is anticipated that this technology can be assessed through the Internet or the information superhighway for many manufacturing companies, large or small.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

10 SBIR/STTR records share this UEI (1987–2016). Reported award amounts total $1,817,422. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Commerce, National Aeronautics and Space Administration, Department of Health and Human Services

Agency intelligence

Department of Commerce

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.