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An Accurate FEA of Turning Simulation and Parameters Optimization for Slender Shaft Turning

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An Accurate FEA of Turning Simulation and Parameters Optimization for Slender Shaft Turning

Yang, Tianlin (2018) An Accurate FEA of Turning Simulation and Parameters Optimization for Slender Shaft Turning. Masters thesis, Concordia University.

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Abstract

There is a high demand to conduct high performance machining in industry to produce high quality parts with high efficiency. Thus, physical machining simulation is a must. Many researches have been conducted on machining simulation with the finite element analysis method. However, the prior machining simulation method is not completed, and the results are not reliable. In this thesis, a completed and accurate method of machining simulation is proposed. First, the cutting tool and the workpiece 3-D solid models are accurately built. These are often ignored in the prior methods. Second, the tool and the workpiece models are set up in the Thirdwave System machining simulation software according to the actual tool location and orientation in machining. Third, the adaptive meshing method is employed, and the mesh size is adapted for high accuracy and efficiency. Then, this approach is applied to a slender shaft turning. A detailed discussion on the constitutive equation for simulation is provided for more accurate results. The experiment results are used as a reference for the simulation model to improve the precision. Finally, the parameters for turning the slender shaft are optimized according to the simulated cutting temperatures and forces. The approach can be directly used in industry for high performance machining.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Thesis (Masters)
Authors:Yang, Tianlin
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical Engineering
Date:July 2018
Thesis Supervisor(s):Chen, Zezhong
ID Code:984304
Deposited By: Tianlin Yang
Deposited On:16 Nov 2018 16:45
Last Modified:16 Nov 2018 16:45
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