Can I read Application of hybrid SFLA-ACO algorithm and CAM softwares for optimization of drilling tool path problems on EtoBox?

Application of hybrid SFLA-ACO algorithm and CAM softwares for optimization of drilling tool path problems by Nasir Mehmood; Muhammad Umer; Umer Asgher is a Engineering article available to read on EtoBox.

What is Application of hybrid SFLA-ACO algorithm and CAM softwares for optimization of drilling tool path problems about?

## Abstract In drilling process almost seventy percent time is spent in tool switching and moving the spindle from one hole to the other. This time travel is non productive as it does not take part in actual drilling process. Therefore, this non productive time needs to be optimized. Different metaheuristic algorithms have been applied to minimize this non productive tool travel time. In this study, two metaheuristic approaches, shuffled frog leaping algorithm (SFLA) and ant colony optimization (ACO) have been hybridized. In industry, the CAM softwares are employed for minimization of non productive tool travel time and it is considered that the path obtained by using the CAM softwares is the optimized path. However this is not the case in all problems. In order to show the contribution of the SFLA-ACO algorithm and to prove that results achieved through CAM softwares are not always optimized, hybrid SFLA-ACO algorithm has been applied to two drilling problems as case studies with the main objective of minimization of non productive tool travel time. The drilling problems which are taken from the manufacturing industry include ventilator manifold problem and lift axle mounting brac

Who reads Application of hybrid SFLA-ACO algorithm and CAM softwares for optimization of drilling tool path problems?

Author

Nasir Mehmood; Muhammad Umer; Umer Asgher

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Engineering (Physical Sciences)