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Hardware-in-the-loop simulator for emulation and active control of chatter
1Machine Tool Dynamics Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Hardwarex
|May 5, 2022
Summary
This study introduces a mechatronic hardware-in-the-loop (HiL) simulator to address chatter vibrations in machine tools. The validated simulator allows for non-destructive testing and exploration of chatter control strategies.
Area of Science:
- Mechanical Engineering
- Control Systems Engineering
- Mechatronics
Background:
- Regenerative chatter vibrations limit machine tool cutting performance and damage systems.
- Existing chatter models struggle with cutting process nonlinearities and machine tool dynamic uncertainties.
- Accurate chatter modeling and control are crucial for industrial applications.
Purpose of the Study:
- To present a mechatronic hardware-in-the-loop (HiL) simulator for verifying chatter models under nonlinear and uncertain conditions.
- To explore active control strategies for mitigating chatter vibrations.
- To provide a validated, accessible platform for research and education in chatter phenomena.
Main Methods:
- Development of a mechatronic HiL simulator with a hardware layer (flexure, actuators) and a software layer (control architecture).
- Emulation of cutting forces and active damping forces within the simulator.
- Validation of the simulator's performance for chatter analysis and control.
Main Results:
- The presented HiL simulator offers a non-destructive, repeatable, and safe environment for studying chatter.
- The simulator design and source files are provided, enabling the research community to replicate and utilize the system.
- Demonstrated efficacy in verifying chatter models and exploring active control in the presence of nonlinearities.
Conclusions:
- The validated HiL simulator is a valuable tool for investigating complex chatter phenomena in machine tools.
- This platform facilitates the development and testing of active chatter control strategies.
- The learnings from this simulator can be applied to other engineering domains facing similar dynamic challenges.
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