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EUREKA SMART ToolSense Sensor-based Smart Tooling for machining process on-line measurement and monitoring (ToolSense)

Reference number
Coordinator Lunds universitet - Institutionen för maskinteknologi - Lunds universitet
Funding from Vinnova SEK 5 150 000
Project duration January 2020 - June 2023
Status Completed
Venture Eureka cluster co-funding 

Purpose and goal

Project goal is to develop, implement and commercialize smart cutting tools with integrated sensors for measurement of forces, vibrations and temperature for cutting process. Overall, novel designs of tools were produced to accommodate sensors, their integration and connectivity to on-board fusion module. All sensors were successfully produced, tested and integrated. Solutions for online process monitoring and prediction are developed. IP protection and commercialization actions are ongoing.

Expected results and effects

In the Swedish part of the project, focus was on design and manufacture of tooling systems for sensors and the integration of sensors. Temperature sensors and their implementation for process monitoring are also in focus. Over 100 temperature sensors with different type, geometry, dimensions, location have been produced, tested and calibrated. A physics-based Digital Twin and an AI-based predictor of cutting temperature were developed. Application of lubri-coolant MQL has been optimized.

Planned approach and implementation

Close collaboration between Swedish, UK and Canadian partners was the key to project implementation. Force and vibration sensors from Canada, combined with temperature sensors from Sweden were successfully integrated. The role of research-intensive SMEs was essential as they were responsible for electronics and sensor fusion and for optimization of processes. UK partners had a key role in the design and testing stages of implementation. Advanced digital and AI solutions were dependent on academic partners.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 29 September 2023

Reference number 2019-03423

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