Strategic analysis of limitations in high-performance machining systems
Predicting machining precision in CNC machining of metal pipes presents considerable difficulty in the mechanical manufacturing industry. This is attributable to the absence of standardized instrumentation in most CAD/CAM systems to guarantee dimensional accuracy and surface quality. This study pres...
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Elsevier
2025-09-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025020638 |
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| author | Alsigar Masar Alhafadhi Mahmood |
| author_facet | Alsigar Masar Alhafadhi Mahmood |
| author_sort | Alsigar Masar |
| collection | DOAJ |
| description | Predicting machining precision in CNC machining of metal pipes presents considerable difficulty in the mechanical manufacturing industry. This is attributable to the absence of standardized instrumentation in most CAD/CAM systems to guarantee dimensional accuracy and surface quality. This study presents a novel scientific methodology employing the digital twin concept to develop a virtual simulation model to predict and improve the machining precision of cylindrical metal surfaces. The model combines mathematical and experimental methods to evaluate differences in cutting depth and geometric deviations during the final manufacturing phase, considering critical aspects such as cutting speed, feed rate, and material properties. The model facilitates accurate surface change prediction by simulating metal's mechanical responses under real manufacturing conditions. Experiments have shown that integrating the digital twins model into the design and operational planning stages significantly increases prediction accuracy, reduces material waste by up to 15 %, and improves the final quality of the metal pipe surface. The results illustrate the model's practical importance when improving CNC machining results. |
| format | Article |
| id | doaj-art-c64a8527358b47fc9c9d101d7c217a2e |
| institution | OA Journals |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-c64a8527358b47fc9c9d101d7c217a2e2025-08-20T02:37:35ZengElsevierResults in Engineering2590-12302025-09-012710599110.1016/j.rineng.2025.105991Strategic analysis of limitations in high-performance machining systemsAlsigar Masar0Alhafadhi Mahmood1University of Sumer, Faculty of Mechanical Engineering, 6, Al-Rifai, Dhi Qar, 57009, IraqUniversity of Sumer, Faculty of Mechanical Engineering, 6, Al-Rifai, Dhi Qar, 57009, Iraq; Department of Mechanical Engineering and Material Sciences, Institute of Engineering Sciences, University of Dunaújváros, Tancsics Mihaly 1/A, Dunaújváros, 2400, Hungary; Corresponding author.Predicting machining precision in CNC machining of metal pipes presents considerable difficulty in the mechanical manufacturing industry. This is attributable to the absence of standardized instrumentation in most CAD/CAM systems to guarantee dimensional accuracy and surface quality. This study presents a novel scientific methodology employing the digital twin concept to develop a virtual simulation model to predict and improve the machining precision of cylindrical metal surfaces. The model combines mathematical and experimental methods to evaluate differences in cutting depth and geometric deviations during the final manufacturing phase, considering critical aspects such as cutting speed, feed rate, and material properties. The model facilitates accurate surface change prediction by simulating metal's mechanical responses under real manufacturing conditions. Experiments have shown that integrating the digital twins model into the design and operational planning stages significantly increases prediction accuracy, reduces material waste by up to 15 %, and improves the final quality of the metal pipe surface. The results illustrate the model's practical importance when improving CNC machining results.http://www.sciencedirect.com/science/article/pii/S2590123025020638Mechanical Properties. Digital twin. Machining. Manufacturing Processes. Pipes. Material Science |
| spellingShingle | Alsigar Masar Alhafadhi Mahmood Strategic analysis of limitations in high-performance machining systems Results in Engineering Mechanical Properties. Digital twin. Machining. Manufacturing Processes. Pipes. Material Science |
| title | Strategic analysis of limitations in high-performance machining systems |
| title_full | Strategic analysis of limitations in high-performance machining systems |
| title_fullStr | Strategic analysis of limitations in high-performance machining systems |
| title_full_unstemmed | Strategic analysis of limitations in high-performance machining systems |
| title_short | Strategic analysis of limitations in high-performance machining systems |
| title_sort | strategic analysis of limitations in high performance machining systems |
| topic | Mechanical Properties. Digital twin. Machining. Manufacturing Processes. Pipes. Material Science |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025020638 |
| work_keys_str_mv | AT alsigarmasar strategicanalysisoflimitationsinhighperformancemachiningsystems AT alhafadhimahmood strategicanalysisoflimitationsinhighperformancemachiningsystems |