<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>A study about multi-objective optimization of turning process has been done in this paper. Twenty-five experiments of a matrix designed according to Taguchi method have been performed. In each experiment, the values of five parameters were changed, including tool nose radius, tool holder length, spindle speed, feed rate, and cutting depth. The three output parameters determined for each experiment include surface roughness, roundness deviation and material removal capacity. Four different methods were used to calculate the weights of the output parameters. The <italic>FUCA</italic> method was used to solve the multi-objective optimization problem. This work was repeated four times with four corresponding weight sets of the criteria. The purpose of solving the multi-objective optimization problem is determining the values of the input parameters to ensure both the surface roughness parameter and the roundness deviation parameter are the smaller the better, and the material removal capacity is the larger the better. A surprising thing happened, the optimal values of the set of input parameters were exactly the same when using four different weighting methods. Accordingly, the optimal values of tool nose radius, tool holder length, spindle speed, feed rate and cutting depth correspondingly are 0.8 (mm), 40 (mm), 587 (rev/min), 0.316 (mm/rev) and 0.6 (mm).</p>
</abstract>

A study about multi-objective optimization of turning process has been done in this paper. Twenty-five experiments of a matrix designed according to Taguchi method have been performed. In each experiment, the values of five parameters were changed, including tool nose radius, tool holder length, spindle speed, feed rate, and cutting depth. The three output parameters determined for each experiment include surface roughness, roundness deviation and material removal capacity. Four different methods were used to calculate the weights of the output parameters. The FUCA method was used to solve the multi-objective optimization problem. This work was repeated four times with four corresponding weight sets of the criteria. The purpose of solving the multi-objective optimization problem is determining the values of the input parameters to ensure both the surface roughness parameter and the roundness deviation parameter are the smaller the better, and the material removal capacity is the larger the better. A surprising thing happened, the optimal values of the set of input parameters were exactly the same when using four different weighting methods. Accordingly, the optimal values of tool nose radius, tool holder length, spindle speed, feed rate and cutting depth correspondingly are 0.8 (mm), 40 (mm), 587 (rev/min), 0.316 (mm/rev) and 0.6 (mm).

Multi-Objective Optimization of Turning Process by Fuca Method

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Multi-Objective Optimization of Turning Process by Fuca Method"}

A study about multi-objective optimization of turning process has been done in this paper. Twenty-five experiments of a matrix designed according to Taguchi...

Multi-Objective Optimization of Turning Process by Fuca Method

Published Online: May 25, 2023

Page range: 55 - 66

DOI: https://doi.org/10.2478/scjme-2023-0005

© 2023 Hoang Xuan Thinh, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.