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1. |
Record Nr. |
UNINA9910139025103321 |
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Autore |
Vignes Alain |
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Titolo |
Extractive metallurgy . 1 Basic thermodynamics and kinetics [[electronic resource] /] / Alain Vignes |
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Pubbl/distr/stampa |
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London, : ISTE |
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Hoboken, N.J., : Wiley, c2011 |
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ISBN |
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1-118-61967-6 |
1-118-61897-1 |
1-299-44930-1 |
1-118-61990-0 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (369 p.) |
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Collana |
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Extractive metallurgy ; ; 1 |
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Disciplina |
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Soggetti |
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Metallurgy |
Extraction (Chemistry) |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Extractive Metallurgy 1; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Metallurgical Thermochemistry; 1.1. Introduction; 1.2. Quantities characterizing the state of a system and its evolution; 1.2.1. The types of operations; 1.2.2. Stoichiometric description of a chemical system; 1.2.3. Evolution of a system's state: degree of advancement of a reaction; 1.2.4. Characteristic quantities of a phase's composition; 1.3. Thermodynamic fundamentals of reactions; 1.3.1. Reaction enthalpy |
1.3.2. Gibbs free energy of a system, affinity of a reaction and chemical potential of a component1.3.3. Expressions of the chemical potential and activities of a component; 1.3.4. Affinity of a reaction: law of mass action (thermodynamic modeling of a process); 1.3.5. Applications; 1.4. Phase diagrams; 1.4.1. Binary phase diagrams; 1.4.2. Ternary phase diagrams; 1.5. Bibliography; Chapter 2. Oxides, Sulfides, Chlorides and Carbides; 2.1. Introduction; 2.2. Metal-oxygen/metal-sulfur systems activities in the intermediate phases; 2.2.1. Phase diagrams |
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2.2.2. Component activities in the intermediate phases2.3. Standard Gibbs free energy: temperature diagrams for oxides - Ellingham-Richardson diagrams; 2.3.1. Stoichiometric oxides; 2.3.2. Unstoichiometric compounds; 2.3.3. Thermodynamic data for the reduction of oxides by a reducing gas; 2.4. Thermodynamic data for sulfides and chlorides; 2.4.1. Ellingham-Richardson diagram for sulfides; 2.4.2. Stability diagrams for the (M-O-S) systems; 2.4.3. Ellingham-Richardson diagram for chlorides; 2.4.4. Stability diagrams of M-O2-Cl2 systems |
2.5. Metal-carbon phase diagrams and the Ellingham-Richardson diagram for carbides2.6. Carbon and carbon oxide reactions; 2.6.1. Oxidation reactions; 2.6.2. Boudouard's reaction; 2.6.3. The different types of coal; 2.7. Bibliography; Chapter 3. Metal Solutions, Slags and Mattes; 3.1. Introduction; 3.2. Metal solutions; 3.2.1. Phase diagrams and activities of liquid alloys components; 3.2.2. Activities and solubilities of metalloids in metal solutions; 3.2.3. Solubility and precipitation of oxide and sulfide compounds in metals; 3.3. Mattes |
3.3.1. Structure and physical properties of sulfide melts (mattes)3.3.2. Thermodynamic data for the binary Fe-S, Ni-S, Cu-S and Pb-S systems; 3.3.3. Thermodynamic data of ternary mattes; 3.3.4. Thermodynamic data for M-O-S systems; 3.4. Slags; 3.4.1. Structure and physical properties; 3.4.2. Phase diagrams and activities; 3.4.3. Phase diagrams and activities of oxide mixtures forming the basis of metallurgical slags CaO-SiO2-Al2O3-MgO; 3.4.4. Phase diagrams and activities of mixtures of CaO-SiO2 -Al2O3-MgO oxides and reducible (iron, manganese and chrome) oxides; 3.5. Bibliography |
Chapter 4. Aqueous Electrolytic Solutions and Salt Melts |
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Sommario/riassunto |
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This book is dedicated to the processes of mineral transformation, recycling and reclamation of metals, for the purpose of turning metals and alloys into a liquid state ready for pouring. Even though ""process metallurgy"" is one of the oldest technologies implemented by man, technological innovation, with the development of processes that are both focused on product quality and economically and ecologically efficient, continues to be at the heart of these industries. This book explains the physico-chemical bases of transformations, vital to their understanding and control (optimization of |
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2. |
Record Nr. |
UNINA9911047653603321 |
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Autore |
Mercier-Laurent Eunika |
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Titolo |
Computational Intelligence in Data Science : 8th IFIP TC 12 International Conference, ICCIDS 2025, Chennai, India, February 12–14, 2025, Revised Selected Papers, Part III / / edited by Eunika Mercier-Laurent, Bhuvana Jayaraman, Priyadharsini Ravisankar, Angel Deborah S., Anusha Jayasimhan |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
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ISBN |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (551 pages) |
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Collana |
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IFIP Advances in Information and Communication Technology, , 1868-422X ; ; 750 |
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Altri autori (Persone) |
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JayaramanBhuvana |
RavisankarPriyadharsini |
SAngel Deborah |
JayasimhanAnusha |
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Disciplina |
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Soggetti |
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Data mining |
Application software |
Artificial intelligence |
Image processing - Digital techniques |
Computer vision |
Computers |
Data Mining and Knowledge Discovery |
Computer and Information Systems Applications |
Artificial Intelligence |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computing Milieux |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- Emerging Trends in AI for Speech and Text. -- Enhancing Academic Performance Prediction: A Novel Approach Using the TabNet Algorithm. -- Domain-Specific Paraphrase Identification for Tamil Using SBert Models. -- Synergy of Building Information Models and Semantic Web of Things for Next-Generation Building Intelligence. -- Leveraging |
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Attention Mechanisms for Toxic Comment Classification and Real-Time Moderation. -- A Comprehensive Survey on AI-Based Approaches for Android Botnet Detection. -- A Hybrid approach to Movie Recommendation: Combining Neural Networks with Collaborative Filtering. -- Distilled GNN Approach for Anomaly Detection in Ecommerce. -- Predicting Watermelon Seed Disease using DBSN Deep Learning Method. -- Automatic Answer Assessment System for E-learning. -- Computational Intelligence for Secure, Smart and Sustainable Applications. -- Securing Sensitive Data Using Quorum-Based Encryption in HealthCare. -- Quantum AI-Enhanced Health Care Diagnostic Pod: A Leap Towards Accurate and Accessible Diagnostics. -- Post-Quantum Email: A Practical Implementation of Lattice- Based Cryptography with Crystals-Dilithium for Advanced Email Encryption. -- Towards Robust Anomaly Detection in Cyber-Physical Systems: Approaches, Challenges, and Future Directions. -- Automated Motor System for efficient Water Management: A step towards Sustainable Future. -- AI-Powered Scribble Analysis for Early Detection of Developmental Challenges in Special Children. -- Defect Detection and Classification on Robot-Painted Pattern Surfaces Using Machine Learning Techniques. -- Dimensionality Reduction-Enhanced Few-shot Binary Classification of Electric Meters: An Empirical Analysis and Performance Evaluation. -- A Review of Neuromorphic Computing and its Potential for Enhancing Digital Twin Technology. -- Quality processing for mobile crowdsensing user data. -- A Vision based Hand Gesture Interface for Controlling VLC Media Player. -- Wellness Wizard - A Diet Planner Powered By AI. -- Beyond 5G: How Blockchain is Revolutionizing Mobile Connectivity. -- Enhanced GAN based Framework for Super Resolution of Satellite Images. -- Modified Fractal Based Genetic Algorithm for Packet Scheduling in Mobile Ad hoc Networks. -- Unlocking Hidden Patterns: A Comparative Analysis of Apriori and Adaptive PCY Algorithms in Big Data Association Rule Mining for Business Intelligence. -- A2RS: Adversarial Attack Resistant Steganography Technique for Medical Images in Digital Healthcare. -- Detection and Avoidance of Counterfeit Products Using Blockchain and Geographical Indication Tags. -- Quantum Machine Learning: Applications in Electrical Engineering. -- Cyber-Physical System for Real-Time Road Monitoring, Incident Detection, and Traffic Management. -- A Hybrid System for Sustainable Pesticide Application and Health. -- Bridging the Gap: Air-gapped Networks in the Era of ML and Big Data. -- Breast Cancer Detection through Tumour Metrics using Machine Learning Algorithm. -- Enhanced Healthcare Efficiency through IoT-Enabled Energy Monitoring System. |
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Sommario/riassunto |
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The three-volume set IFIP ICCIDS 748, 749 and 750 constitutes the refereed post-conference proceedings of the 8th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2025, held in Chennai, India, during February 12–14, 2025. The 91 papers including 70 regular papers and 21 short papers included in these proceedings were carefully reviewed and selected from 317 submissions. The papers are organized in the following topical sections: Part I: Computer Vision for Real World Applications. Part II: Computer Vision for Real World Applications; Emerging Trends in AI for Speech and Text. Part III: Emerging Trends in AI for Speech and Text; Computational Intelligence for Secure, Smart and Sustainable Applications. |
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