SBIR/STTR Research Award

SBIR Phase I:Effectively-Thick Coating of High-Wear Surfaces with Application to Cutting Tools

Award identifier 34aec899cf0eaf08ad0133228fcb82e29daf9fd5c1bf3579c0d259a7d57b537eAwarding agency National Science Foundation

Award amount

$170,000

Program and phase

SBIR · Phase I

Award year

2010

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
National Science Foundation
Branch
Not reported
Recipient company
Endres Machining Innovations
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 09-541
Topic code
NM

Research abstract

This Small Business Innovation Research (SBIR) Phase I project aims to develop an effectively-thick coating (ETC) technology for machine tool applications. This technology will provide an effective thickness that is 5-20 times thicker than that of traditional coating while abating delamination issues that currently limit thickness. The approach is to micromachine the cutting tool to form a specific pattern followed by the deposition of coating via chemical vapor deposition (CVD) or physical vapor deposition (PVD) techniques. The broader/commercial impact of this project will be the potential to obtain much thicker coating for machine tool, thus extend its lifetime and reduce costs. One of the challenges in the application of machine tool coating is that thin coating is usually worn away before the other parts of the machine tool are compromised, resulting in high cost. On the other hand, the coating tends to delaminate from the substrate when the thickness is over a critical point, making it very difficult to deposit coating with desired thickness. This technology will offer a coating with much higher effective thickness and is expected to extend the machine tool life time by a factor of 2.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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.