Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Collaborative Research and Development Grants

University of New Brunswick

$47,400.00

A novel approach to potato processing using intelligent data analytics and advanced control

FY 2014-15

Summary
In the manufacturer of food in the food industry, there are rigid operational standards and processingmethodologies that have to be adhered to. In many instances, these operations and processing methods demandthat they are well controlled within tight tolerances. The processing of the raw potatoes to a wide variety ofproducts is just one example. McCain Foods in Florenceville, NB, Canada since 1957 as a company has beencommitted itself to be continuously improving and applying new technologies to its production of nearlyone-third of the French fried potatoes in the world. This project focuses on conducting research in order toenhance the potato peeling process, which is key to overall efficiency of the production of potato fries.Currently, the peeling process involves using steam at high flows entering a rotating vessel that contains theraw material for a defined period of time. The optimal time for steaming is not known at this point as well asthe vessel's rotating speed. Other parameters influence the peeling process such as the potato dimensionalityand type. As the steaming process is key to the peeling of the raw potato, the company is keen on improvingthis initial process for minimizing energy consumption and maximizing peeling efficiency. Over steaming orunder steaming can result in poor peeling, translating to millions of dollars annually in lost revenue. Theresearch would involve several researchers conducting sequential and concurrent tasks that include thefollowing: (a) formulating from first principles an analytical model of the overall potato peeling mechanism,(b) conducting various experiments to formulate nonlinear time series models, (c) integrating high resolutionthermal imaging cameras that provide thermal signatures of the raw material during steaming and after, (c)using the thermal data to enhance these time series models in realtime, and (d) developing an intelligentcontroller that uses this information (thermal and many others) to make optimal actions to the several actuators(valves, heaters, motors etc.). McCain Foods will be providing $50,000 in cash as well as $54,400 inkindsupport on this project. The project has a timeline of 2 years.
Program
Collaborative Research and Development Grants
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
453295-2013
Name nom
Dubay, Rickey
Department département
Mechanical Engineering
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
47400
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
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
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Partie
1
Nb partie
2
Application title
A novel approach to potato processing using intelligent data analytics and advanced control
Keyword
NSERC
Application summary
In the manufacturer of food in the food industry, there are rigid operational standards and processingmethodologies that have to be adhered to. In many instances, these operations and processing methods demandthat they are well controlled within tight tolerances. The processing of the raw potatoes to a wide variety ofproducts is just one example. McCain Foods in Florenceville, NB, Canada since 1957 as a company has beencommitted itself to be continuously improving and applying new technologies to its production of nearlyone-third of the French fried potatoes in the world. This project focuses on conducting research in order toenhance the potato peeling process, which is key to overall efficiency of the production of potato fries.Currently, the peeling process involves using steam at high flows entering a rotating vessel that contains theraw material for a defined period of time. The optimal time for steaming is not known at this point as well asthe vessel's rotating speed. Other parameters influence the peeling process such as the potato dimensionalityand type. As the steaming process is key to the peeling of the raw potato, the company is keen on improvingthis initial process for minimizing energy consumption and maximizing peeling efficiency. Over steaming orunder steaming can result in poor peeling, translating to millions of dollars annually in lost revenue. Theresearch would involve several researchers conducting sequential and concurrent tasks that include thefollowing: (a) formulating from first principles an analytical model of the overall potato peeling mechanism,(b) conducting various experiments to formulate nonlinear time series models, (c) integrating high resolutionthermal imaging cameras that provide thermal signatures of the raw material during steaming and after, (c)using the thermal data to enhance these time series models in realtime, and (d) developing an intelligentcontroller that uses this information (thermal and many others) to make optimal actions to the several actuators(valves, heaters, motors etc.). McCain Foods will be providing $50,000 in cash as well as $54,400 inkindsupport on this project. The project has a timeline of 2 years.
University of New Brunswick - $47,400 Grant (2014-15) | Canada Spends