Design of Induction Hardening-Tempering Processes by means of multi-physical models, neural networks and multi-fidelity parallel optimization

Keywords

Search publication

Bibliographic data

Edition: 1/2021
Copyright year: 2021
ISBN-Online: 978-3-95900-634-7
Publisher: TEWISS, Garbsen
Language: German
Pages: 170
Product type: Book Titles

ChapterPages

Titelei/Inhaltsverzeichnis No access Pages i - xxiv
1. 1.1 Objectives of the work No access
2. 1.2 Outline No access
1. 2.1 Basics of induction heating No access
2. 2.2 Induction heat treatment equipment No access
3. 1. The iron-carbon (Fe-C) phase diagram No access
  2. Phase transformations during quenching No access
  3. Austenitization and short-time austenitization No access
  4. Residual stress No access
4. 1. Phase transformations during tempering No access
  2. Residual stress No access
1. 1. Potential formulation No access
  2. Finite Elements No access
  3. Equivalent permeability in time-harmonic analysis No access
2. 3.2 Heat transfer equation No access
3. 1. Short-time austenitization No access
  2. Diffusion-controlled transformations during quenching No access
  3. Martensitic transformation No access
  4. Diffusion-controlled transformations in tempering No access
  5. Hardness No access
4. 3.4 Mechanical equations No access
5. 3.5 Multi-physical coupling No access
1. 1. Meta-heuristic algorithms No access
2. 1. Kriging (GP) No access
  2. Radial Basis Function (RBF) No access
  3. Neural Networks (NNs) No access
3. 1. Co-Kriging No access
4. 4.4 Exploiting parallel computing No access
5. 1. Self-adaptive multi-objective algorithm No access
  2. Multimethod GP-based bi-fidelity parallel algorithm No access
  3. Multi-surrogate multi-objective parallel decision-based algorithm No access
1. 5.1 Measurement of the electrical resistivity No access
2. 1. A mathematical description of the B-H curve No access
  2. Experimental setup No access
  3. Field analysis No access
  4. Inverse problem formulation No access
  5. Results of optimization No access
3. 1. Equivalent curves for time-harmonic simulations No access
  2. Model simplifications No access
4. 5.4 The dependence of permeability on temperature No access
1. 1. A multi-fidelity Pareto-optimal neural network to describe the forward problem No access
  2. Solving the inverse problem of B-H curve identification No access
2. 6.2 A ready-to-use network for inverse B-H identification No access
1. 1. Material data for induction hardening No access
  2. Material data for induction tempering No access
2. 1. Based on laboratory scale experiments No access
  2. Based on industrial scale experiments No access
  3. Influence of a microstructure-dependent electromagnetic analysis No access
  4. Microstructural model No access
  5. Mechanical model No access
3. 7.3Optimal frequency and heating time in the hardening process No access
4. 7.4 Optimal control of the tempering process No access
5. 7.5 Exploiting the residual heat in quenching No access
1. 1. Linear equations No access
  2. Non-linear equations neglecting hysteresis losses No access
  3. Non-linear equations including hysteresis losses No access
2. 1. Linear equations No access
  2. Non-linear equations neglecting hysteresis No access
  3. Non-linear equations including hysteresis No access
3. 8.3 An electromagnetic-thermal coupled analysis for induction heating No access
9 Conclusions No access Pages 149 - 150
References No access Pages 151 - 150
Curriculum Vitae No access Pages 151 - 170

Similar publications

from the topics "Europarecht & Internationales Recht & Rechtsvergleichung", "Europapolitik & Europäische Union", "Wirtschaftspolitik & Währungspolitik", "Sozialwirtschaft"