Prediction of abrasive waterjet machining of sheet metals using artificial neural network
High pressure waterjet technology has received a wider acceptance for various applications involving machining, cleaning, surface treatment and material cutting. Machining of soft and thin materials with acceptable cutting quality requires a relatively low waterjet pump capacity typically below 150...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39458/ http://umpir.ump.edu.my/id/eprint/39458/1/Prediction%20of%20Abrasive%20Waterjet%20Machining%20of%20Sheet%20Metals%20Using%20Artificial.pdf http://umpir.ump.edu.my/id/eprint/39458/2/Prediction%20of%20abrasive%20waterjet%20machining%20of%20sheet%20metals%20using%20arti%EF%AC%81cial%20neural%20network_ABS.pdf |
| _version_ | 1848825774560247808 |
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| author | Nur Khadijah, Mazlan Nazrin, Mokhtar Asmelash, Mebrahitom Asmelash Azmir, Azhari |
| author_facet | Nur Khadijah, Mazlan Nazrin, Mokhtar Asmelash, Mebrahitom Asmelash Azmir, Azhari |
| author_sort | Nur Khadijah, Mazlan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | High pressure waterjet technology has received a wider acceptance for various applications involving machining, cleaning, surface treatment and material cutting. Machining of soft and thin materials with acceptable cutting quality requires a relatively low waterjet pump capacity typically below 150 MPa. The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. This summarizes that ANN model can sufficiently estimate surface roughness in the abrasive waterjet machining of sheet metals with a reasonable error range. |
| first_indexed | 2025-11-15T03:34:16Z |
| format | Conference or Workshop Item |
| id | ump-39458 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:34:16Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-394582023-12-01T02:09:46Z http://umpir.ump.edu.my/id/eprint/39458/ Prediction of abrasive waterjet machining of sheet metals using artificial neural network Nur Khadijah, Mazlan Nazrin, Mokhtar Asmelash, Mebrahitom Asmelash Azmir, Azhari T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures High pressure waterjet technology has received a wider acceptance for various applications involving machining, cleaning, surface treatment and material cutting. Machining of soft and thin materials with acceptable cutting quality requires a relatively low waterjet pump capacity typically below 150 MPa. The present study attempts to predict the surface roughness during the waterjet machining process for a successful cutting of sheet metals using low pressure. Artificial neural network model was used as the method for prediction. Taguchi method with L36 orthogonal array was employed to develop the experimental design. A back-propagation algorithm used in the ANN model has successfully predicted the surface roughness with the mean squared error to be below 10%. This summarizes that ANN model can sufficiently estimate surface roughness in the abrasive waterjet machining of sheet metals with a reasonable error range. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39458/1/Prediction%20of%20Abrasive%20Waterjet%20Machining%20of%20Sheet%20Metals%20Using%20Artificial.pdf pdf en http://umpir.ump.edu.my/id/eprint/39458/2/Prediction%20of%20abrasive%20waterjet%20machining%20of%20sheet%20metals%20using%20arti%EF%AC%81cial%20neural%20network_ABS.pdf Nur Khadijah, Mazlan and Nazrin, Mokhtar and Asmelash, Mebrahitom Asmelash and Azmir, Azhari (2022) Prediction of abrasive waterjet machining of sheet metals using artificial neural network. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2021 , 20 September 2021 , Gambang. pp. 43-50., 900 (277979). ISSN 1876-1100 ISBN 978-981192094-3 (Published) https://doi.org/10.1007/978-981-19-2095-0_5 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Nur Khadijah, Mazlan Nazrin, Mokhtar Asmelash, Mebrahitom Asmelash Azmir, Azhari Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title | Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title_full | Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title_fullStr | Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title_full_unstemmed | Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title_short | Prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| title_sort | prediction of abrasive waterjet machining of sheet metals using artificial neural network |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/39458/ http://umpir.ump.edu.my/id/eprint/39458/ http://umpir.ump.edu.my/id/eprint/39458/1/Prediction%20of%20Abrasive%20Waterjet%20Machining%20of%20Sheet%20Metals%20Using%20Artificial.pdf http://umpir.ump.edu.my/id/eprint/39458/2/Prediction%20of%20abrasive%20waterjet%20machining%20of%20sheet%20metals%20using%20arti%EF%AC%81cial%20neural%20network_ABS.pdf |