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Research on surface generating model in ultrasonic vibration-assisted grinding
- Source :
- The International Journal of Advanced Manufacturing Technology. 96:3429-3436
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- The surface forming mechanism is very important for material processing technology, which can directly influence the surface quality and processing efficiency. A new method for regulating and predicting the surface topography for ultrasonic vibration- assisted grinding (UAG) is presented in this paper. According to the kinematics analysis, the surface generating model is developed step by step in this study to control the surface micro structure and modify the machining parameters. The grinding force model and material removal rate model are also established for evaluating the UAG processing performance. Depend on the mathematical models, relationships between surface topography, grinding force, material removal rate, and ultrasonic vibration features can be revealed. Micro structure and high-precision surface can be design and manufactured through theoretical calculation. Due to the grain trajectory regulating, surface forming simulation was executed for verify the theory deduction. This model can be developing as a useful foundation for surface quality and machining efficiency improvement in UAG.
- Subjects :
- Surface (mathematics)
0209 industrial biotechnology
Materials science
Mathematical model
Mechanical Engineering
Mechanical engineering
02 engineering and technology
Kinematics
021001 nanoscience & nanotechnology
Industrial and Manufacturing Engineering
Computer Science Applications
Grinding
Mechanism (engineering)
020901 industrial engineering & automation
Quality (physics)
Machining
Control and Systems Engineering
Trajectory
0210 nano-technology
Software
Subjects
Details
- ISSN :
- 14333015 and 02683768
- Volume :
- 96
- Database :
- OpenAIRE
- Journal :
- The International Journal of Advanced Manufacturing Technology
- Accession number :
- edsair.doi...........a5cec5920ee0a7642d702ae5497604de