Modern Optimization Techniques for Advanced Machining Heuristic and Metaheuristic Techniques /
Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The applicati...
Wedi'i Gadw mewn:
| Prif Awduron: | , |
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| Awdur Corfforaethol: | |
| Fformat: | Electronig eLyfr |
| Iaith: | Saesneg |
| Cyhoeddwyd: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Rhifyn: | 1st ed. 2023. |
| Cyfres: | Studies in Systems, Decision and Control,
485 |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1007/978-3-031-35455-7 |
| Tagiau: |
Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| 100 | 1 | |a Okokpujie, Imhade P. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Modern Optimization Techniques for Advanced Machining |h [electronic resource] : |b Heuristic and Metaheuristic Techniques / |c by Imhade P. Okokpujie, Lagouge K. Tartibu. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIV, 359 p. 198 illus.). |b 153 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 341 | 0 | |b Table of contents navigation |2 onix | |
| 341 | 0 | |b Single logical reading order |2 onix | |
| 341 | 0 | |b Short alternative textual descriptions |2 onix | |
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| 490 | 1 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 485 | |
| 505 | 0 | |a Overview of Advanced Machining Process -- Cutting Fluid and its Application with Different Delivering Machining Techniques -- Development and Application of Nano-Lubricant in Machining: A Review -- Global Machining Prediction and Optimization -- Multi-objective Grey Wolf Optimizer for improved machining performance -- Multi-objective Ant Lion Optimizer for improved machining performance -- Multi-objective Grasshopper Optimizer for improved machining performance -- A multi-objective optimization approach for improving machining performance using the General Algebraic Modelling System (GAMS) -- ANN and QRCCD Prediction of Surface Roughness under Biodegradable Nano-lubricant -- Cutting Force Optimization under ANN and QRCCD -- Material Removal Rate Optimization under ANN and QRCCD -- Application of Hybrid ANN and PSO for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant -- Adaptive Neuro-Fuzzy Inference System for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant. | |
| 520 | |a Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on themajor three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Materials. | |
| 650 | 0 | |a Machinery. | |
| 650 | 0 | |a Engineering mathematics. | |
| 650 | 0 | |a Engineering |x Data processing. | |
| 650 | 1 | 4 | |a Materials Engineering. |
| 650 | 2 | 4 | |a Machinery and Machine Elements. |
| 650 | 2 | 4 | |a Mathematical and Computational Engineering Applications. |
| 700 | 1 | |a Tartibu, Lagouge K. |e author. |0 (orcid)0000-0003-2111-7155 |1 https://orcid.org/0000-0003-2111-7155 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031354540 |
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| 830 | 0 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 485 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-35455-7 |
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