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| Link zu diesem Datensatz | https://d-nb.info/1379297729 |
| Titel | Advances and Futuristic Trends in Machining Volume—I : Proceedings of the AIMTDR 2023 / edited by P. K. Jain, M. S. Shunmugam, M. Vashista, S. Pratap, J. P. Misra |
| Person(en) |
Jain, P. K. (Herausgeber) Shunmugam, M. S. (Herausgeber) Vashista, M. (Herausgeber) Pratap, S. (Herausgeber) Misra, J. P. (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XIV, 269 p. 139 illus., 119 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9683-68-0 Printed edition:: ISBN: 978-981-9683-70-3 |
| Inhalt | Face Centered CCD-based RSM Modelling and Optimization of parameters for Milling Electrochemical Spark Micromachining of E-Glass Fiber Composites -- Advanced FE-based Hybrid Algorithms to Optimize Uncertain Multi response Process Parameters in Tungsten Heavy Alloy Machining -- Wear of coated carbide tool having different microstructure and composition in wall end-milling of SS304 -- Machinability analysis of AISI 4140: A comparison between dry, flood, and vegetable oil-based EMQL machining performance -- Fabrication of Multiple Blind Holes on Glass Using Ultrasonic-Assisted ECDM Process -- Estimating Material Deformation Characteristics During Orthogonal Cutting Using Digital Image Correlation -- An Experimental Investigation of micro-hole generation on Ti-6Al-4V through electrochemical micromachining -- AHP-TOPSIS Integrated Approach for Parameters Selection in WEDM of Titanium Alloy -- Predictive Modeling of Surface Roughness Parameters and MRR during Turning of Inconel 625 with Coated Inserts using Artificial Neural Network -- Modelling and Parametric analysis for WEDM during machining of heat treated AZ31 alloy -- etc |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510190407186.250954569266 DOI: 10.1007/978-981-96-8369-7 |
| URL | https://doi.org/10.1007/978-981-96-8369-7 |
| ISBN/Einband/Preis | 978-981-96-8369-7 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Mechanical Engineering |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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