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Studying the Factors Affecting Tool Vibration and Surface Quality during Turning through 3D Cutting Simulation and
Quang Ngoc The Ho1,2, Thanh Trung Do1, Pham Son Minh1
1Faculty of Mechanical Engineering, HCMC University of Technology and Education, Ho Chi Minh City 71307, Vietnam.
This study simulated turning processes, finding tool hardness is key for surface quality. Exceeding a critical toolholder length of 60 mm significantly increases surface roughness (Rz).
Area of Science:
- Manufacturing Engineering
- Materials Science
- Computational Mechanics
Background:
- High-quality machined products, especially via turning, are increasingly demanded.
- Advancements in numerical computing and control technology are essential for improving productivity and product quality.
Purpose of the Study:
- To simulate and analyze factors affecting tool vibration and workpiece surface quality during turning.
- To determine the critical toolholder length influencing surface roughness.
Main Methods:
- Simulation of cutting force and toolholder oscillation.
- Analysis of toolholder behavior under cutting force.
- Application of a machine learning model to correlate process parameters with surface roughness.
Main Results:
- Tool hardness identified as the most critical factor for surface quality.
- A critical toolholder length of 60 mm was determined.
- Exceeding the critical length leads to a rapid increase in surface roughness (Rz) to approximately 20 µm.
Conclusions:
- Simulation and machine learning effectively predict surface quality in turning.
- Optimizing toolholder length is crucial for achieving desired surface roughness.
- Tool hardness and toolholder length are primary determinants of surface quality in turning operations.
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