All Stories

  1. Design of Patient Specific Spinal Implant (Pedicle Screw Fixation) using FE Analysis and Soft Computing Techniques
  2. Rough-Fuzzy-GA-based design of Al alloys having superior cryogenic performance
  3. Cooling profile analysis of hot strip coil using finite volume method
  4. Soft computing techniques in advancement of structural metals
  5. Segmentation of dual phase steel micrograph: An automated approach
  6. Optimal Design of Titanium Alloys for Prosthetic Applications Using a Multiobjective Evolutionary Algorithm
  7. Optimization of mechanical property and shape recovery behavior of Ti-(∼49 at.%) Ni alloy using artificial neural network and genetic algorithm
  8. New Approach for Feature Selection of Thermomechanically Processed HSLA Steel using Pruned-Modular Neural Networks
  9. Developing an unsupervised classification algorithm for characterization of steel properties
  10. Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
  11. Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms
  12. Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould
  13. STUDY OF NANOMECHANICAL PROPERTIES OF Ni-Ti SHAPE MEMORY ALLOY BY INSTRUMENTED INDENTATION TECHNIQUE
  14. Designing cold rolled IF steel sheets with optimized tensile properties using ANN and GA
  15. Investigating the Role of Nonmetallic Fillers in Particulate-Reinforced Mold Composites using EAs
  16. Classifying tensile strength of HSLA steel: an investigation through neural networks using Mahalanobis Distance
  17. Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process
  18. Extraction of knowledge from high strength steel data using soft computing techniques—an overview
  19. Identification of Factors Governing Mechanical Properties of TRIP-Aided Steel Using Genetic Algorithms and Neural Networks
  20. Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models
  21. Exploring the effects of chemical composition in hot rolled steel product using Mahalanobis distance scale under Mahalanobis–Taguchi system
  22. Designing High Strength Multi-phase Steel for Improved Strength–Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms
  23. A Comparative Study for Modeling of Hot-Rolled Steel Plate Classification Using a Statistical Approach and Neural-Net Systems
  24. Optimizing parameters of supervised learning techniques (ANN) for precise mapping of the input–output relationship in TMCP steels