Machining Dynamics and Parameters Process Optimization
As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simul...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| 主題: | |
| オンライン･アクセス: | ONIX_20210501_9783036502946_247 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
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| _version_ | 1869524430277836800 |
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| collection | Directory of Open Access Books |
| description | As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring. |
| format | Online |
| id | doab-20.500.12854ir-68501 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-685012024-04-11T15:10:25Z Machining Dynamics and Parameters Process Optimization Urbicain, Gorka Olvera Trejo, Daniel CNC parameters machining mode high speed high accuracy high surface quality five-axis linear-segment toolpath path smoothing B-spline curve-fitting path synchronization feedrate scheduling flute-grinding evolution algorithms wheel location and orientation thin-floor machining chatter magnetorheological damper bull-nose end mill tool wear monitoring milling complex part deep learning autoencoder deep multi-layer perceptron tool condition monitoring tool change policy Industry 4.0 machine learning CNN AI additive manufacturing thin walled machining dynamics machining cycle optimization multivariable tool stable peninsula homotopy perturbation method machining robot natural frequency prediction model optimization dynamic performance stability machining grinding n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology As we move further into the 21st century, despite the fact that new technologies have emerged, machining remains the key operation to achieve high productivity and precision for high-added value parts in several sectors, but recent advances in computer applications should close the gap between simulations and industrial practices. This book, “Machining Dynamics and Parameters Process Optimization”, is oriented toward the different strategies and paths when it comes to increasing productivity and reliability in metal removal processes. The topics include the dynamic characterization of machine tools, experimental dampening techniques, and optimization algorithms combined with signal monitoring. 2021-05-01T15:11:29Z 2021-05-01T15:11:29Z 2021 book ONIX_20210501_9783036502946_247 9783036502946 9783036502953 https://directory.doabooks.org/handle/20.500.12854/68501 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3521 https://mdpi.com/books/pdfview/book/3521 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0295-3 10.3390/books978-3-0365-0295-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036502946 9783036502953 190 Basel, Switzerland open access |
| spellingShingle | CNC parameters machining mode high speed high accuracy high surface quality five-axis linear-segment toolpath path smoothing B-spline curve-fitting path synchronization feedrate scheduling flute-grinding evolution algorithms wheel location and orientation thin-floor machining chatter magnetorheological damper bull-nose end mill tool wear monitoring milling complex part deep learning autoencoder deep multi-layer perceptron tool condition monitoring tool change policy Industry 4.0 machine learning CNN AI additive manufacturing thin walled machining dynamics machining cycle optimization multivariable tool stable peninsula homotopy perturbation method machining robot natural frequency prediction model optimization dynamic performance stability machining grinding n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Machining Dynamics and Parameters Process Optimization |
| title | Machining Dynamics and Parameters Process Optimization |
| title_full | Machining Dynamics and Parameters Process Optimization |
| title_fullStr | Machining Dynamics and Parameters Process Optimization |
| title_full_unstemmed | Machining Dynamics and Parameters Process Optimization |
| title_short | Machining Dynamics and Parameters Process Optimization |
| title_sort | machining dynamics and parameters process optimization |
| topic | CNC parameters machining mode high speed high accuracy high surface quality five-axis linear-segment toolpath path smoothing B-spline curve-fitting path synchronization feedrate scheduling flute-grinding evolution algorithms wheel location and orientation thin-floor machining chatter magnetorheological damper bull-nose end mill tool wear monitoring milling complex part deep learning autoencoder deep multi-layer perceptron tool condition monitoring tool change policy Industry 4.0 machine learning CNN AI additive manufacturing thin walled machining dynamics machining cycle optimization multivariable tool stable peninsula homotopy perturbation method machining robot natural frequency prediction model optimization dynamic performance stability machining grinding n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | CNC parameters machining mode high speed high accuracy high surface quality five-axis linear-segment toolpath path smoothing B-spline curve-fitting path synchronization feedrate scheduling flute-grinding evolution algorithms wheel location and orientation thin-floor machining chatter magnetorheological damper bull-nose end mill tool wear monitoring milling complex part deep learning autoencoder deep multi-layer perceptron tool condition monitoring tool change policy Industry 4.0 machine learning CNN AI additive manufacturing thin walled machining dynamics machining cycle optimization multivariable tool stable peninsula homotopy perturbation method machining robot natural frequency prediction model optimization dynamic performance stability machining grinding n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783036502946_247 |