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Grant: Idea to Innovation

University of Waterloo

$125,000.00

Digi-Shape - digital simulation & optimization software for gear shaping

FY 2018-19

Summary
The objective of this project is to develop the next-generation of a proprietary software called Digi-Shape which has been developed at the University of Waterloo for virtual gear shaping. Gear shaping is a versatile and prominent machining method for manufacturing cylindrical gears. It is a highly complex and expensive process that requires highly trained engineers and technicians to run competently. Digi-Shape is capable of simulating the gear shaping operation and predicting the final quality of the machined part. It can be used to virtually optimize gear shaping processes to achieve higher productivity, and to minimize wasted resources in physical trial and error based process design that would otherwise be needed. In case studies performed at a local gear manufacturer, Digi-Shape was used to yield a significant 20-30% productivity improvement above current industry standards. This I2I project aims to develop and implement new features into Digi-Shape, in order to fortify its commercial value and its usability so that it can be easily and comfortably adopted by industry. Three features are outlined in this proposal that have been identified through collaborative discussions with industry. The first feature is collision detection of the cutting tool, which is an essential safety requirement to prevent damage to the cutter and machine. The second is automatic optimization of the process parameters, such that less-experienced personnel in industry can use the software to easily design gear shaping processes which yield maximum productivity and adequate quality. Finally, the third feature is refinement of the gear quality prediction algorithms to include factors which are currently not being simulated within Digi-Shape. Successful development of these features will greatly improve Digi-Shape's commercial value and increase industry's confidence in using this product.
Program
Idea to Innovation
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
531945-2018
Name nom
Erkorkmaz, Kaan
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
125000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2107
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Modelling, simulation and finite element methods
Research subject fr
Modélisation, simulation et méthodes des éléments finis
Partie
1
Nb partie
1
Application title
Digi-Shape - digital simulation & optimization software for gear shaping
Keyword
NSERC
Application summary
The objective of this project is to develop the next-generation of a proprietary software called Digi-Shape which has been developed at the University of Waterloo for virtual gear shaping. Gear shaping is a versatile and prominent machining method for manufacturing cylindrical gears. It is a highly complex and expensive process that requires highly trained engineers and technicians to run competently. Digi-Shape is capable of simulating the gear shaping operation and predicting the final quality of the machined part. It can be used to virtually optimize gear shaping processes to achieve higher productivity, and to minimize wasted resources in physical trial and error based process design that would otherwise be needed. In case studies performed at a local gear manufacturer, Digi-Shape was used to yield a significant 20-30% productivity improvement above current industry standards. This I2I project aims to develop and implement new features into Digi-Shape, in order to fortify its commercial value and its usability so that it can be easily and comfortably adopted by industry. Three features are outlined in this proposal that have been identified through collaborative discussions with industry. The first feature is collision detection of the cutting tool, which is an essential safety requirement to prevent damage to the cutter and machine. The second is automatic optimization of the process parameters, such that less-experienced personnel in industry can use the software to easily design gear shaping processes which yield maximum productivity and adequate quality. Finally, the third feature is refinement of the gear quality prediction algorithms to include factors which are currently not being simulated within Digi-Shape. Successful development of these features will greatly improve Digi-Shape's commercial value and increase industry's confidence in using this product.