Forward and reverse mapping for milling process using artificial neural networks
The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using forward back propagation neural network based appr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-02-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340917305905 |
| _version_ | 1828762617346260992 |
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| author | Rashmi L. Malghan Karthik Rao M C Arun Kumar Shettigar Shrikantha S. Rao R.J. D’Souza |
| author_facet | Rashmi L. Malghan Karthik Rao M C Arun Kumar Shettigar Shrikantha S. Rao R.J. D’Souza |
| author_sort | Rashmi L. Malghan |
| collection | DOAJ |
| description | The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using forward back propagation neural network based approach, i.e. ANN based on three process parameters, such as spindle speed, feed rate and depth of cut.The comparing reverse model is likewise created to prescribe the ideal settings of processing parameters for accomplishing the desired responses as indicated by the necessities of the end clients. These modelling approaches are very proficient to foresee the benefits of machining responses and also process parameter settings in light of the experimental technique. Keywords: ANN, Forward mapping, Reverse mapping, Milling process |
| first_indexed | 2024-12-11T01:48:14Z |
| format | Article |
| id | doaj.art-b56b396e169b433fb816479e60782dd9 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-11T01:48:14Z |
| publishDate | 2018-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-b56b396e169b433fb816479e60782dd92022-12-22T01:24:51ZengElsevierData in Brief2352-34092018-02-0116114121Forward and reverse mapping for milling process using artificial neural networksRashmi L. Malghan0Karthik Rao M C1Arun Kumar Shettigar2Shrikantha S. Rao3R.J. D’Souza4Department of Mechanical Engineering, National Institute of Technology, Surathkal, Karnataka, IndiaDepartment of Mechatronics Engineering, Manipal Institute of Technology, Manipal, India; Corresponding author.Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal, IndiaDepartment of Mechanical Engineering, National Institute of Technology, Surathkal, Karnataka, IndiaDepartment of Mathematical and Computational Science, National Institute of Technology, Surathkal, Karnataka, IndiaThe data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using forward back propagation neural network based approach, i.e. ANN based on three process parameters, such as spindle speed, feed rate and depth of cut.The comparing reverse model is likewise created to prescribe the ideal settings of processing parameters for accomplishing the desired responses as indicated by the necessities of the end clients. These modelling approaches are very proficient to foresee the benefits of machining responses and also process parameter settings in light of the experimental technique. Keywords: ANN, Forward mapping, Reverse mapping, Milling processhttp://www.sciencedirect.com/science/article/pii/S2352340917305905 |
| spellingShingle | Rashmi L. Malghan Karthik Rao M C Arun Kumar Shettigar Shrikantha S. Rao R.J. D’Souza Forward and reverse mapping for milling process using artificial neural networks Data in Brief |
| title | Forward and reverse mapping for milling process using artificial neural networks |
| title_full | Forward and reverse mapping for milling process using artificial neural networks |
| title_fullStr | Forward and reverse mapping for milling process using artificial neural networks |
| title_full_unstemmed | Forward and reverse mapping for milling process using artificial neural networks |
| title_short | Forward and reverse mapping for milling process using artificial neural networks |
| title_sort | forward and reverse mapping for milling process using artificial neural networks |
| url | http://www.sciencedirect.com/science/article/pii/S2352340917305905 |
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