Back to results

University of Ontario Institute of Technology

Application of traveling salesman problem in generating a collision-free tool path in drilling

Abstract

dc:description.abstract

In machining, the tool path is generated according to the workpiece geometry and arrangement of holes. Majority of Computer Aided Manufacturing (CAM) software offer a set of predefined strategies to choose from. These tool paths are mostly far from being the optimum path, specifically for complex geometries with non-flat surfaces. This thesis introduces a new algorithm based on Travelling Salesman Problem (TSP). The proposed local search algorithm generates an optimum collision free tool path in drilling operations. The developed optimization algorithm considers multiple constraints such as location of tool origin and presence of obstacles. Furthermore, a discussion on stopping criteria for the developed algorithm is presented. Obtained results confirm the proposed algorithm is capable of providing optimum collision free path with more than 50% reduction (in given examples) in path length compared to the HSMWorks software.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Khodabakhshi, Zahra
Advisor dc:contributor.advisor
  • Hosseini, Sayyed Ali

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/1289
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/1289

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Khodabakhshi, Zahra. Application of traveling salesman problem in generating a collision-free tool path in drilling. University of Ontario Institute of Technology, 2021. https://hdl.handle.net/10155/1289