Related Experiment Video
Updated: Nov 19, 2025
07:58
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
Published on: July 25, 2025
448
Process Parameters Optimization Using Taguchi-Based Grey Relational Analysis in Laser-Assisted Machining of Si3N4
Yezhuang Pu1, Yugang Zhao1, Jianbing Meng1
1School of Mechanical Engineering, Shandong University of Technology, Zibo 255049, China.
Materials (Basel, Switzerland)
|January 27, 2021
Summary
Laser-assisted machining (LAM) of silicon nitride ceramics shows that optimal parameters reduce surface roughness and work hardening. Lower cutting depth and higher laser power promote ductile material removal for better surface quality.
Area of Science:
- Materials Science
- Manufacturing Engineering
- Surface Engineering
Background:
- Laser-assisted machining (LAM) is effective for ceramics but lacks systematic parameter studies.
- Machining parameters significantly influence surface quality in LAM of ceramic materials.
Purpose of the Study:
- To systematically investigate the effects of process parameters on surface roughness and work hardening in LAM of Si3N4.
- To optimize LAM parameters for improved surface quality in ceramic machining.
Main Methods:
- Utilized the Taguchi method combined with grey relational analysis.
- Analyzed the influence of laser power, spindle speed, feed rate, and cutting depth.
Main Results:
- Machining parameter combinations dictate the material removal mode, impacting surface quality.
- Ductile material removal mode results in lower surface roughness and work hardening.
- Reduced surface roughness and work hardening were achieved with decreased cutting depth and increased laser power.
Conclusions:
- Optimizing LAM parameters is crucial for achieving superior surface quality in Si3N4 machining.
- Ductile mode machining, influenced by parameter selection, is key to minimizing surface defects.
- The study provides a systematic approach for parameter optimization in LAM of advanced ceramics.
