
Modeling Tools for the Machining of Ceramic Matrix Composites (CMCs)Award last edited on: 10/20/2015
Sponsored Program
SBIRAwarding Agency
DOD : AFTotal Award Amount
$900,000Award Phase
2Solicitation Topic Code
AF151-136Principal Investigator
Troy D MarusichCompany Information
Third Wave Systems Inc (AKA: TWS)
6475 City West Parkway
Eden Prairie, MN 55344
Eden Prairie, MN 55344
(952) 832-5515 |
support@thirdwavesys.com |
www.thirdwavesys.com |
Location: Multiple
Congr. District: 03
County: Hennepin
Congr. District: 03
County: Hennepin
Phase I
Contract Number: ----------Start Date: ---- Completed: ----
Phase I year
2015Phase I Amount
$150,000Benefits:
Existing CAM software tools generate toolpaths entirely based on the geometric aspects of machining, without consideration for the material properties or the process physics such as forces, deflections, etc. leading to a need for significant input from the manufacturing engineers in order to mitigate the above effects. Manufacturing engineers must rely on their machining knowledge and prior experience from related designs and materials. Where such knowledge is not available, the manufacturing engineer has to undergo significant trial-and-error testing to develop a robust process. These methods are expensive, time consuming, and often lead to suboptimal solutions since only a limited range of process alternatives can be explored. Lack of validated modeling tools necessary to understand the magnitude and nature of the machining forces on the final part, temperature and abrasive wear effects on the tool, or workpiece deflection on the final part geometry are significant factors that limit the ability to improve part quality and reduce costs. Similarly, the inability of current software tools such as CAM or verification systems to consider the workpiece material effects during toolpath generation poses additional barriers to rapid, optimal toolpath programming. The anticipated benefits of proposed CMC machining modeling programs: A 35-50 percent reduction in the machining cycle times for Air Force CMC engine components Development of both detailed-level (FEM) and toolpath-level machining models providing a comprehensive, multi-scale physics-based modeling capability Demonstration of process improvements on a candidate Air Force component Dramatic reduction in machining process set-up times via analysis and optimization off-line, in advance of manufacturing process implementation Maximize capabilities of existing capital equipment through tooling and process improvements Eliminate trial-and-error testing through the use of validated physics-based models Improved tool life resulting from the judicious selection of tooling and process parameters as determined from detailed-level analysis Generic models applicable to a wide variety of materials, machine tools and components throughout the DoD
Keywords:
physics-based modeling, CMC, composites, machining
Phase II
Contract Number: ----------Start Date: ---- Completed: ----
Phase II year
2016Phase II Amount
$750,000Benefits:
CMC machining is more challenging than metal machining due in part to the relative immaturity of composite machining practices and the lack of industry familiarity. Generally, the challenges encountered in the CMC manufacturing industry are due to the nature of the materials, various aspects of the tooling used and sensitivity to process parameters. Existing CAM software tools generate toolpaths entirely based on geometrical aspects of machining, without consideration for the material properties of the process, physics, such as force, deflection, etc, leading to a need for significant input from manufacturing engineers in order to mitigate the above effects. This project aims to improve the machining aspect of fabrication through the development physics-based simulation tools. Anticipated benefits of the proposed project are: (a) development of both detailed-level (FEM) and toolpath-level machining models providing a consistent and comprehensive, multi-scale, physics-based modeling capability, (b) a 35 to 50 percent reduction in the machining cycle times for Air Force CMC engine components, (c) demonstration of process improvements, reduction in machining process set-up times via analysis and optimization off-line in advance of manufacturing process implementation, (d) maximizing production capabilities of existing capital equipment through tooling and process improvements, and (e) eliminating trial-and-error testing through the use of validated physics-based models.
Keywords:
CMC, composite, ceramic, machining, optimization, physics-based modeling