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Grant: Engage Grants Program

University of Ontario Institute of Technology

$24,844.00

Automated Vision-Based Tool Holder Calibration for Collision-Free Milling

FY 2011-12

Summary
The industrial partner of the current proposal, Lamko Tool & Mold Inc., represents one of the Southwestern Ontario's market leaders in the area of automotive mold manufacturing. Lamko was founded in 1978 at its current location in London, Ontario, and managed to steadily grow its customer base which now includes large OEMs and Tier 1 suppliers from auto industry. However, in order to thrive on a highly dynamic and global economy, the company is currently interested into automation of some of the machining setup procedures, which were traditionally performed manually, in an error-prone and cost inefficient manner. A good example in this regard is represented by the accurate acquisition of the geometric features of the cutter/tool holder assembly, which is essential for generation of precise and collision-free machining instructions by means of computer-aided manufacturing (CAM) software. Pre-cutting CAM-based machining simulations ensure final product accuracy and eliminate the risk of collision between various components of tooling, machine tool and workpiece, with undesirable consequences on the part quality and/or operator safety. The company has currently in use more than 300 different tool holders, each to support a broad palette of cutting tools. To address this concern, the present application will be focused on the development of a non-contact and automated system capable to measure and then reproduce the geometry of the tool holders used on computer numerically-controlled (CNC) milling machine tools. As a suitable solution to this problem, an automated vision-based system will be developed to accurately acquire the geometry in a digital imaging format to be further processed to a geometric input that is acceptable to the CAM system. In addition to the foreseeable socio-economic benefits to Lamko, the project is expected to open up new R&D investigation avenues.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
428906-2011
Name nom
Barari, Ahmad
Department département
Engineering and Applied Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2011
Award amount
24844
Program id
EGP
Program nane en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
1702
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Advanced manufacturing
Research subject fr
Méthodes de fabrication avancées
Partie
1
Nb partie
1
Application title
Automated Vision-Based Tool Holder Calibration for Collision-Free Milling
Keyword
NSERC
Application summary
The industrial partner of the current proposal, Lamko Tool & Mold Inc., represents one of the Southwestern Ontario's market leaders in the area of automotive mold manufacturing. Lamko was founded in 1978 at its current location in London, Ontario, and managed to steadily grow its customer base which now includes large OEMs and Tier 1 suppliers from auto industry. However, in order to thrive on a highly dynamic and global economy, the company is currently interested into automation of some of the machining setup procedures, which were traditionally performed manually, in an error-prone and cost inefficient manner. A good example in this regard is represented by the accurate acquisition of the geometric features of the cutter/tool holder assembly, which is essential for generation of precise and collision-free machining instructions by means of computer-aided manufacturing (CAM) software. Pre-cutting CAM-based machining simulations ensure final product accuracy and eliminate the risk of collision between various components of tooling, machine tool and workpiece, with undesirable consequences on the part quality and/or operator safety. The company has currently in use more than 300 different tool holders, each to support a broad palette of cutting tools. To address this concern, the present application will be focused on the development of a non-contact and automated system capable to measure and then reproduce the geometry of the tool holders used on computer numerically-controlled (CNC) milling machine tools. As a suitable solution to this problem, an automated vision-based system will be developed to accurately acquire the geometry in a digital imaging format to be further processed to a geometric input that is acceptable to the CAM system. In addition to the foreseeable socio-economic benefits to Lamko, the project is expected to open up new R&D investigation avenues.
University of Ontario Institute of Technology - $24,8… | Canada Spends