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A platform for research: civil engineering, architecture and urbanism
MBFA algorithm based optimization of tungsten carbide alloy wire cut machining process
https://orcid.org/http://orcid.org/0000-0002-5247-1520
Wire cut machining process is one of the methods of producing tungsten carbide parts, which due to its poor machining capability, optimal machining with traditional methods is not possible. Material removal rate and surface roughness are the most important output indicators of the wire cut process. In this research, the wiring machining process on tungsten carbide alloy has been modeled and optimized. Mathematical modeling has been used to establish an accurate relationship between input parameters and process outputs. In this regard, first, the necessary data were collected by conducting experiments, designed by the Design of Experiment Technique by Taguchi method. The validity of these models was assessed using statistical hypothesis tests and analysis of variance. After determining the appropriate models, the process optimization is performed using the Multi-Objective Bacteria Foraging Algorithm and the table of optimizations for combining the input parameters is presented. Finally, a validation experiment was performed with one of the combinations of the obtained optimal table and the results of this experiment were compared with the results obtained through optimization. The results obtained show a good correlation between the proposed model than the experimental data, making it possible to validate the methodology developed. Furthermore, The performance of the proposed algorithm is compared with a number of algorithms that are most commonly used and reported in the corresponding scientific literature such as NSGA-II. The results lie in favor of better performance of the proposed algorithm.
MBFA algorithm based optimization of tungsten carbide alloy wire cut machining process
https://orcid.org/http://orcid.org/0000-0002-5247-1520
Wire cut machining process is one of the methods of producing tungsten carbide parts, which due to its poor machining capability, optimal machining with traditional methods is not possible. Material removal rate and surface roughness are the most important output indicators of the wire cut process. In this research, the wiring machining process on tungsten carbide alloy has been modeled and optimized. Mathematical modeling has been used to establish an accurate relationship between input parameters and process outputs. In this regard, first, the necessary data were collected by conducting experiments, designed by the Design of Experiment Technique by Taguchi method. The validity of these models was assessed using statistical hypothesis tests and analysis of variance. After determining the appropriate models, the process optimization is performed using the Multi-Objective Bacteria Foraging Algorithm and the table of optimizations for combining the input parameters is presented. Finally, a validation experiment was performed with one of the combinations of the obtained optimal table and the results of this experiment were compared with the results obtained through optimization. The results obtained show a good correlation between the proposed model than the experimental data, making it possible to validate the methodology developed. Furthermore, The performance of the proposed algorithm is compared with a number of algorithms that are most commonly used and reported in the corresponding scientific literature such as NSGA-II. The results lie in favor of better performance of the proposed algorithm.
MBFA algorithm based optimization of tungsten carbide alloy wire cut machining process
https://orcid.org/http://orcid.org/0000-0002-5247-1520
Wire cut machining process is one of the methods of producing tungsten carbide parts, which due to its poor machining capability, optimal machining with traditional methods is not possible. Material removal rate and surface roughness are the most important output indicators of the wire cut process. In this research, the wiring machining process on tungsten carbide alloy has been modeled and optimized. Mathematical modeling has been used to establish an accurate relationship between input parameters and process outputs. In this regard, first, the necessary data were collected by conducting experiments, designed by the Design of Experiment Technique by Taguchi method. The validity of these models was assessed using statistical hypothesis tests and analysis of variance. After determining the appropriate models, the process optimization is performed using the Multi-Objective Bacteria Foraging Algorithm and the table of optimizations for combining the input parameters is presented. Finally, a validation experiment was performed with one of the combinations of the obtained optimal table and the results of this experiment were compared with the results obtained through optimization. The results obtained show a good correlation between the proposed model than the experimental data, making it possible to validate the methodology developed. Furthermore, The performance of the proposed algorithm is compared with a number of algorithms that are most commonly used and reported in the corresponding scientific literature such as NSGA-II. The results lie in favor of better performance of the proposed algorithm.
MBFA algorithm based optimization of tungsten carbide alloy wire cut machining process
Int J Interact Des Manuf
Nouri, Hossein (author)
2023-02-01
23 pages
Article (Journal)
Electronic Resource
English
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