Methodology to Optimize Manufacturing Time for a CNC Using a High Performance Implementation of ACO
In this paper, an efficient methodology to generate optimal and/or quasi-optimal sequences of G commands to minimize the manufacturing time is presented. Our solution starts from original G codes provided by application CAD/CAM software. Here, first we tackled the problem of reducing the time of the...
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| Published in | International journal of advanced robotic systems Vol. 9; no. 4 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
10.10.2012
Sage Publications Ltd SAGE Publishing |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1729-8806 1729-8814 1729-8814 |
| DOI | 10.5772/50527 |
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| Abstract | In this paper, an efficient methodology to generate optimal and/or quasi-optimal sequences of G commands to minimize the manufacturing time is presented. Our solution starts from original G codes provided by application CAD/CAM software. Here, first we tackled the problem of reducing the time of the travel path for drilling of an industrial robotic manufacturing machine. The methodology can be easily implemented for free distribution or commercial CAD/CAM software without achieving any modification to it. Several experiments that demonstrate how this proposal can help to outperform solutions provided by application software are presented, consistent improvements around 62% were obtained. Moreover, for optimizing the time along the travel path, we present a high performance implementation of Ant Colonies (ACO) known as Parallel ACO (P-ACO) that allows achieving the optimization task efficiently by speeding up the original ACO. A Graphical User Interface that integrates the whole process is shown. |
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| AbstractList | In this paper, an efficient methodology to generate optimal and/or quasi-optimal sequences of G commands to minimize the manufacturing time is presented. Our solution starts from original G codes provided by application CAD/CAM software. Here, first we tackled the problem of reducing the time of the travel path for drilling of an industrial robotic manufacturing machine. The methodology can be easily implemented for free distribution or commercial CAD/CAM software without achieving any modification to it. Several experiments that demonstrate how this proposal can help to outperform solutions provided by application software are presented, consistent improvements around 62% were obtained. Moreover, for optimizing the time along the travel path, we present a high performance implementation of Ant Colonies (ACO) known as Parallel ACO (P-ACO) that allows achieving the optimization task efficiently by speeding up the original ACO. A Graphical User Interface that integrates the whole process is shown. |
| Author | Montiel-Ross, Oscar Medina-Rodríguez, Nataly Sepúlveda, Roberto Melin, Patricia |
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| CitedBy_id | crossref_primary_10_1515_jmsp_2016_0017 crossref_primary_10_3390_coatings13050914 crossref_primary_10_1016_j_jcde_2016_04_001 crossref_primary_10_3109_17483107_2014_961569 crossref_primary_10_1108_K_03_2015_0069 crossref_primary_10_1016_j_compind_2020_103322 crossref_primary_10_1016_j_rcim_2018_09_006 crossref_primary_10_1016_j_asoc_2021_108058 |
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| Copyright | 2012 Montiel-Ross et al.; licensee InTech. Copyright InTech 2012 2012. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Keywords | Manufactoring robot P-ACO G-CODE |
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| SubjectTerms | Ant colony optimization Automation CAD/CAM Case studies Cutting tools Drilling Drilling machines (tools) Experiments Fuzzy logic G codes Genetic algorithms Graphical user interface Human error Manufacturing Methodology Route optimization Software Trends |
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| Title | Methodology to Optimize Manufacturing Time for a CNC Using a High Performance Implementation of ACO |
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