Aidong Hou

(Former)

1 - 8 out of 8Page size: 10

Research output

  1. 2022
  2. E-pub ahead of print

    Multi-Response Optimization of the Thermal and Thermomechanical Behavior of a Steel Ladle Lining using Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution

    Hou, A., Gruber, D. & Jin, S., 23 Sept 2022, (E-pub ahead of print) In: Steel research international. 94.2023, 1, 10 p., 2200407.

    Research output: Contribution to journal › Article › Research › peer-review

  3. Published

    Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings

    Hou, A., Jin, S., Gruber, D. & Harmuth, H., 2022, 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Institute of Electrical and Electronics Engineers, (Proceedings of the International Joint Conference on Neural Networks; vol. 2022-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. 2019
  5. Published

    A method for steel ladle lining optimization applying thermomechanical modelling and Taguchi approaches

    Jin, S., Hou, A., Harmuth, H. & Gruber, D., 16 Oct 2019, Proceedings of UNITECR 2019: 16th Biennial Worldwide Congress. Yokohama, p. 1-4 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  6. Published

    Influence of Variation/Response Space Complexity and Variable Completeness on BP-ANN Model Establishment: Case Study of Steel Ladle Lining

    Hou, A., Jin, S., Gruber, D. & Harmuth, H., 16 Jul 2019, In: Applied Sciences : open access journal. 9.2019, 14, 12 p., 2835.

    Research output: Contribution to journal › Article › Research › peer-review

  7. Published

    Modelling of a steel ladle and prediction of its thermomechanical behavior by finite element simulation together with artificial neural network approaches

    Hou, A., Jin, S., Gruber, D. & Harmuth, H., 4 Jul 2019, p. 1109 - 1116. 7 p.

    Research output: Contribution to conference › Paper

  8. Published

    Thermal and Thermomechanical Responses Prediction of a Steel Ladle Using a Back-Propagation Artificial Neural Network Combining Multiple Orthogonal Arrays

    Hou, A., Jin, S., Harmuth, H. & Gruber, D., 29 Apr 2019, In: Steel research international. 2019, 8 p., 1900116.

    Research output: Contribution to journal › Article › Research › peer-review

  9. Published

    Application of Some Digital Techniques to Optimize the Thermomechanical Behavior of Refractory Linings

    Hou, A., 2019

    Research output: Thesis › Doctoral Thesis

  10. 2018
  11. Published

    A Method for Steel Ladle Lining Optimization Applying Thermomechanical Modeling and Taguchi Approaches

    Hou, A., Jin, S., Harmuth, H. & Gruber, D., 9 Aug 2018, In: JOM. 70, 11, p. 2449 2456 p.

    Research output: Contribution to journal › Article › Research › peer-review

View graph of relations

Latest Research Output

View more (8)