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An Interactive Haptic Guidance System for Intuitive Programming CNC Machine Tool.
Kamil Stateczny1, Karol Miądlicki1
1Department of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, al. Piastów 19, 70-310 Szczecin, Poland.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
This study introduces an intuitive CNC machine tool control system using a strain-gauge sensor lever. This novel approach enhances manual programming, allowing intuitive axis movement control and reducing errors compared to traditional interfaces.
Area of Science:
- Mechanical Engineering
- Human-Computer Interaction
- Manufacturing Technology
Background:
- Modern CNC machine tools rely on outdated interfaces like buttons and handwheels.
- These traditional systems lack intuitive control for axis movement speed and direction, leading to operational inefficiencies.
Purpose of the Study:
- To develop and validate a novel, intuitive manual programming system for CNC machine tools.
- To replace archaic input methods with a control lever equipped with strain-gauge sensors for enhanced operator control.
Main Methods:
- Design and implementation of a control lever system incorporating strain-gauge sensors.
- Experimental validation of the proposed system's functionality.
- Comparative analysis of the new system against traditional CNC control interfaces.
Main Results:
- The proposed control lever system enables intuitive, force-sensitive control over CNC machine tool axes.
- Operators can achieve variable speeds and precise directional movements more effectively than with conventional controls.
- The system demonstrated a significant improvement in ease of use and error reduction during manual programming tasks.
Conclusions:
- The novel control lever system offers a more intuitive and efficient alternative to traditional CNC interfaces.
- This innovation has the potential to streamline manual programming and reduce operator errors in CNC machining.
- Further development could integrate this system into advanced manufacturing processes for improved human-machine interaction.
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