Grant: CCI Applied Research and Development Grants
Lambton College of Applied Arts and Technology
$40,000.00
Development of an Artificial Intelligence (AI) Predictive Maintenance Solution for Real-Time Monitoring of CNC Machine Components
FY 2023-24
Summary
Quickmill, located in Peterborough, ON is a pioneering company specializing in Computer Numerical Control (CNC) machine tools. They design, build, install, and service high-precision CNC machines for diverse markets. With a focus on structural strength, a wide range of optional components, and a user-friendly design, Quickmill consistently delivers top-notch performance and is a leading CNC machining center manufacturer serving global manufacturing sectors such as heat transfer, power generation, aerospace, structural steel, among others. However, they face challenges in monitoring vital CNC machine components to ensure timely maintenance.
To address this issue, Quickmill aims to collaborate with Lambton College on an AI-driven predictive maintenance solution. This solution will employ accelerometers to monitor vibrations in critical CNC machine components during standard testing motions. Machine learning algorithms will analyze these vibration profiles to determine component condition and estimate remaining useful life. This innovative approach aims to provide advanced maintenance alerts, mitigating costly breakdowns in the industry.
The successful development of this solution is expected to increase sales, heighten demand, and create employment opportunities for Quickmill. Given the company's international reach, this growth will contribute significantly to bolstering Canadian exports and enhancing international competitiveness. It is projected the addition of this technology will yield an annual growth of $2 million and create two positions at Quickmill.
Program
CCI Applied Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CCARD-2023-00208
Name nom
Sheikhzadeh, Mehdi
Department département
Applied Research and Innovation - Lambton College (Lambton College of Applied Arts and Technology)
Organization id
26621
Institution établissement
Lambton College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
40000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Area of application code
10000
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF1020104
Field of research list names en
Machine learning
Field of research list names fr
Apprentissage machine
Socioeconomic objective list codes
RDS10608
Socioeconomic objective list names en
Machinery and equipment (including automated machinery and equipment)
Socioeconomic objective list names fr
Machines et matériel (y compris les machines et le matériel automatisés)
Application title
Development of an Artificial Intelligence (AI) Predictive Maintenance Solution for Real-Time Monitoring of CNC Machine Components
Keyword
Computer Numerical Control (CNC); Machine Tools; Manufacturing; Artificial Intelligence; Machine Learning; Predictive Maintenance; Feature Implementation; User Interface; Software Testing
Application summary
Quickmill, located in Peterborough, ON is a pioneering company specializing in Computer Numerical Control (CNC) machine tools. They design, build, install, and service high-precision CNC machines for diverse markets. With a focus on structural strength, a wide range of optional components, and a user-friendly design, Quickmill consistently delivers top-notch performance and is a leading CNC machining center manufacturer serving global manufacturing sectors such as heat transfer, power generation, aerospace, structural steel, among others. However, they face challenges in monitoring vital CNC machine components to ensure timely maintenance.
To address this issue, Quickmill aims to collaborate with Lambton College on an AI-driven predictive maintenance solution. This solution will employ accelerometers to monitor vibrations in critical CNC machine components during standard testing motions. Machine learning algorithms will analyze these vibration profiles to determine component condition and estimate remaining useful life. This innovative approach aims to provide advanced maintenance alerts, mitigating costly breakdowns in the industry.
The successful development of this solution is expected to increase sales, heighten demand, and create employment opportunities for Quickmill. Given the company's international reach, this growth will contribute significantly to bolstering Canadian exports and enhancing international competitiveness. It is projected the addition of this technology will yield an annual growth of $2 million and create two positions at Quickmill.
