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IoT based prognostics and health monitoring of a machining centre incorporating digital twin technology

Implementing Organization

Principal Investigator
Dr. Suhas Sakharam Mohite
College Of Engineering Pune, Maharashtra
CO-Principal Investigator
Dr. Dr.Preetam Hemant Selmokar
College Of Engineering Pune, Maharashtra-411005

About

With an aim to make India a manufacturing hub of the globe it is imperative to adapt to the latest enabling technologies such as Digital manufacturing, Industry 4.0, IoT, Artificial Intelligence & Machine learning (AI/ML) as well as Augmented and Virtual Reality (AR/VR). Research and development is undertaken at COEP in these areas with a view to create infrastructure and build expertise in these emerging areas. Digital twin provides an effective way for the cyber-physical integration of manufacturing. Machining centres play a vital role in an industry as their performance extensively affects effectiveness and efficiency of production. In order to cope up with the requirements smart and intelligent factory, there exists a need of upgrading current CNC machining centres to an advanced level in terms of autonomy, intelligence, accessibility, and connectivity. The proposed project integrates physical and virtual spaces thereby realizing a digital twin of a manufacturing system which provides the integrated platform necessary to harness the potential of generated data. This would see more data-based corrective actions taken in real-time to increase productivity of manufacturing resources and optimize production lines. ​As manufacturing processes become increasingly digital, the digital twin is now within reach. By providing companies with a complete digital footprint of products, the digital twin enables companies to detect physical issues sooner, predict outcomes more accurately, and build better products.
Funding Organization
Funding Organization
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Engineering Sciences
Focus Area
IoT and Digital Twin Technology
Start Year
2023
End Year
2026
Sanction Amount
₹ 30.00 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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