Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm
This paper proposes a hybrid approach based on the Artificial Neural network and Genetic algorithm to optimize surface roughness at the abrasive water jet (AWJ) cutting of glass material. At first, Artificial Neural Network (ANN) was developed in order to model and predict surface roughness by consi...
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| Format: | Article |
| Language: | fas |
| Published: |
Semnan University
2010-12-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_1572_896af7150e3529b67f26b0796386c664.pdf |
| _version_ | 1827342501465292800 |
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| author | حسین Amirabadi حسین Amirabadi جواد Ashori فرشید Jafarian |
| author_facet | حسین Amirabadi حسین Amirabadi جواد Ashori فرشید Jafarian |
| author_sort | حسین Amirabadi |
| collection | DOAJ |
| description | This paper proposes a hybrid approach based on the Artificial Neural network and Genetic algorithm to optimize surface roughness at the abrasive water jet (AWJ) cutting of glass material. At first, Artificial Neural Network (ANN) was developed in order to model and predict surface roughness by considering the controllable cutting parameters such as water pressure, abrasive flow rate, jet traverse rate and stand of distance. Then the results of the neural network were compared with corresponding experimental tests. According to the obtained results, it was shown that the ANN model is able to present a predictive model of the process in order to estimate the surface roughness successfully. After that, ANN model was combined by genetic algorithm to obtain suitable machining parameters yield to minimal surface roughness. Finally, obtained results showed that, utilized hybrid technique in this paper was employed properly for optimizing AWJ cutting process. |
| first_indexed | 2024-03-07T22:08:25Z |
| format | Article |
| id | doaj.art-b0e0eaeb1cba40dcbfd940ab43917601 |
| institution | Directory Open Access Journal |
| issn | 2008-4854 2783-2538 |
| language | fas |
| last_indexed | 2024-03-07T22:08:25Z |
| publishDate | 2010-12-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj.art-b0e0eaeb1cba40dcbfd940ab439176012024-02-23T18:54:46ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382010-12-01823253510.22075/jme.2017.15721572Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithmحسین Amirabadiحسین Amirabadiجواد Ashoriفرشید JafarianThis paper proposes a hybrid approach based on the Artificial Neural network and Genetic algorithm to optimize surface roughness at the abrasive water jet (AWJ) cutting of glass material. At first, Artificial Neural Network (ANN) was developed in order to model and predict surface roughness by considering the controllable cutting parameters such as water pressure, abrasive flow rate, jet traverse rate and stand of distance. Then the results of the neural network were compared with corresponding experimental tests. According to the obtained results, it was shown that the ANN model is able to present a predictive model of the process in order to estimate the surface roughness successfully. After that, ANN model was combined by genetic algorithm to obtain suitable machining parameters yield to minimal surface roughness. Finally, obtained results showed that, utilized hybrid technique in this paper was employed properly for optimizing AWJ cutting process.https://modelling.semnan.ac.ir/article_1572_896af7150e3529b67f26b0796386c664.pdfabrasive water jet cutting (awj)optimizationgenetic algorithm (ga)artificial neural network (ann)glass |
| spellingShingle | حسین Amirabadi حسین Amirabadi جواد Ashori فرشید Jafarian Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm مجله مدل سازی در مهندسی abrasive water jet cutting (awj) optimization genetic algorithm (ga) artificial neural network (ann) glass |
| title | Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm |
| title_full | Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm |
| title_fullStr | Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm |
| title_full_unstemmed | Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm |
| title_short | Optimising the Abrasive Water Jet Cutting of Glass Using Artificial Neural Network and Genetic algorithm |
| title_sort | optimising the abrasive water jet cutting of glass using artificial neural network and genetic algorithm |
| topic | abrasive water jet cutting (awj) optimization genetic algorithm (ga) artificial neural network (ann) glass |
| url | https://modelling.semnan.ac.ir/article_1572_896af7150e3529b67f26b0796386c664.pdf |
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