Artificial intelligence-aided materials design : AI-algorithms and case studies on alloys and metallurgical processes /: AI-algorithms and case studies on alloys and metallurgical processes. (2022)
- Record Type:
- Book
- Title:
- Artificial intelligence-aided materials design : AI-algorithms and case studies on alloys and metallurgical processes /: AI-algorithms and case studies on alloys and metallurgical processes. (2022)
- Main Title:
- Artificial intelligence-aided materials design : AI-algorithms and case studies on alloys and metallurgical processes
- Further Information:
- Note: Rajesh Jha and Bimal Kumar Jha.
- Authors:
- Jha, Rajesh
Jha, B. K (Bimal K.) - Contents:
- 1. Introduction. 2. Metallurgical/Materials Concepts. 3. Artificial Intelligence Algorithms. 4. Case Study #4: Computational Platform for Developing Predictive Models for Predicting Load-Displacement Curve and AFM Image: Combined Experimental-Machine Learning Approach. 5. Case Study #5: Design of Hard Magnetic Alnico Alloys: Combined Machine Learning-Experimental Approach. 6. Case Study #6: Design and Discovery of Soft Magnetic Alloys: Combined Machine Learning-CALPHAD Approach. 7. Case Study #7: Nickel-Base Superalloys: Combined Machine Learning-CALPHAD Approach. 8. Case Study #8: Design of Aluminum Alloys: Combined Machine Learning-CALPHAD Approach. 9. Case Study #9: Titanium Alloys for High-Temperature Application: Combined Machine Learning-CALPHAD Approach. 10. Case Study #10: Design of β-Stabilized, ω-Free Titanium Based Biomaterials: Combined Machine Learning-CALPHAD Approach. 11. Case Study #11: Industrial Furnaces I: Application of Machine Learning on an Industrial Iron-Making Blast Furnace Data. 12. Case Study #12: Development of GUI/APP to Determine Additions in LD Steel Making Furnace. 13. Case Study #13: Selection of a Supervised Machine Learning(Response Surface) Algorithm for a Given Problem. 14. Case Study #14: Effect of Operating Parameters on Roll Force and Torque in an Industrial Rolling Mill: Supervised and Unsupervised Machine Learning Approach. 15. Case Study #15: Developing Predictive Models for Flow Stress by Utilizing Experimental Data Generated From1. Introduction. 2. Metallurgical/Materials Concepts. 3. Artificial Intelligence Algorithms. 4. Case Study #4: Computational Platform for Developing Predictive Models for Predicting Load-Displacement Curve and AFM Image: Combined Experimental-Machine Learning Approach. 5. Case Study #5: Design of Hard Magnetic Alnico Alloys: Combined Machine Learning-Experimental Approach. 6. Case Study #6: Design and Discovery of Soft Magnetic Alloys: Combined Machine Learning-CALPHAD Approach. 7. Case Study #7: Nickel-Base Superalloys: Combined Machine Learning-CALPHAD Approach. 8. Case Study #8: Design of Aluminum Alloys: Combined Machine Learning-CALPHAD Approach. 9. Case Study #9: Titanium Alloys for High-Temperature Application: Combined Machine Learning-CALPHAD Approach. 10. Case Study #10: Design of β-Stabilized, ω-Free Titanium Based Biomaterials: Combined Machine Learning-CALPHAD Approach. 11. Case Study #11: Industrial Furnaces I: Application of Machine Learning on an Industrial Iron-Making Blast Furnace Data. 12. Case Study #12: Development of GUI/APP to Determine Additions in LD Steel Making Furnace. 13. Case Study #13: Selection of a Supervised Machine Learning(Response Surface) Algorithm for a Given Problem. 14. Case Study #14: Effect of Operating Parameters on Roll Force and Torque in an Industrial Rolling Mill: Supervised and Unsupervised Machine Learning Approach. 15. Case Study #15: Developing Predictive Models for Flow Stress by Utilizing Experimental Data Generated From Gleeble Testing Machine: Combined Experimental-Supervised Machine Learning Approach. 16. Computational Platforms Used in This Work. … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 620.16
Metallurgy -- Data processing
Alloys -- Data processing
Artificial intelligence -- Industrial applications - Languages:
- English
- ISBNs:
- 9781000541380
9781000541335
9781003167372 - Related ISBNs:
- 9780367765279
- Notes:
- Note: Includes bibliographical references and index.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.668553
- Ingest File:
- 09_020.xml