From Downtime to Uptime: LMS & CNC Improve Efficiency with Smart Sensors

Technology Being Tested

Milling Chatter Monitoring System
An innovative, low-cost system developed by LMS for real-time, in-line monitoring of machining tool performance. The system uses sensors and software to detect tool wear and prevent failures, boosting production efficiency and quality assurance in CNC manufacturing environments.

Use case in a Nutshell

LMS (Laboratory for Manufacturing Systems & Automation, University of Patras) technology owner, and CNC Solutions early adopter partnered through the DIMOFAC Early Adopters Programme to deploy and validate a milling chatter monitoring system aimed at improving production efficiency and reducing tool-related downtime. CNC Solutions integrated this technology with LMS’s guidance to explore automation, predictive maintenance, and smart manufacturing benefits in a real industrial setting.

About the collaboration partners

The Laboratory for Manufacturing Systems & Automation Department of Mechanical Engineering and Aeronautics (LMS) at the University of Patras has implemented close-to-market services to external companies within the framework of the DIMOFAC project.

CNC Solutions is a company specializing in precision CNC (Computer Numerical Control) machining. They design and produce precision CNC parts and also operate the only CNC training center in Greece

Description of the Collaboration

Problem Addressed

Tool failure and lack of real-time visibility into machining performance were limiting efficiency and increasing costs for CNC Solutions.

Solution

LMS deployed a sensor-based chatter monitoring system at CNC Solutions’ production site. The system enabled real-time assessment of tool conditions using dedicated software.

Execution

LMS led the technical implementation and sensor setup.

CNC Solutions contributed operational context and machine access, facilitating a hands-on testbed.

Host Role (LMS)

Provided sensing technology, software integration, and technical support.

Beneficiary Role (CNC Solutions)

Implemented the solution and assessed its effectiveness in daily operations.

Results of the Colaborration

Improved Efficiency

CNC Solutions reported significant gains in production efficiency and process stability. 

Tool Failure Prevention

The system allowed proactive detection and avoidance of tool damage, minimizing unplanned downtime.

ROI Potential

The solution is expected to deliver a full return on investment within two years.

Scalability

The technology was compatible with existing systems, requiring no specialized training.

Future Outlook

CNC Solutions plans to explore additional AI and IoT integrations for continuous improvement and strategic growth.

Testimonials

The implementation of the DIMOFAC solution has significantly improved our production efficiency, demonstrating its value in our operations

Panos Gounas

CEO, CNC Solutions

Our collaboration with the beneficiaries was seamless… Their engagement provided invaluable feedback, enriching our understanding of real-world applications.

Christos Papaioannou

Research Engineer, LMS

Project info:

The use case DIMOFAC project which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870092, aiming to help factories implement a smart factory architecture that will allow them to be more reactive to a personalised demand and changing market dynamics.

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