Soft computing in materials development and its sustainability in the manufacturing sector / edited by Amar Patnaik, Vikas Kukshal, Pankaj Agarwal, Ankush Sharma, Mahavir Choudhary.
| Other author | Patnaik, Amar (Mechanical engineer) |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2023. |
| Description | pages cm |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Partial contents | Predictive maintenance of industrial rotating equipment using supervised machine-learning / Hare Shankar Kumhar, Kumari Sarita, Vikas Kukshal, Sanjeev Kumar -- Predictive approach on creep life of Ni based single crystal superalloy using optimized machine learning regression algorithms / Vinay Polimetla, Srinu Gangolu -- Artificial neural networks based real-time modelling while milling aluminium 6061 alloy / Shaswat Garg, Satwik Dudeja, Navriti Gupta. |
| Abstract | "This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing advanced new materials"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2022013062 |
| ISBN | 9780367723583 (hbk) |
| ISBN | 9780367723606 (pbk) |
| ISBN | (ebk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |