Challenges DRISHTI
AI powered Hull-form optimization
Optimal designs of ship hulls that meet technical and operational requirements has always been a major challenge for naval architects. In practice, naval architects frequently seek design guidance from existing hull forms. Relevant approaches include line distortion and standard series analysis, in which the target hull form is acquired by applying slight adjustments to the lines plans of one or multiple reference hulls. Utilizing the fact that knowledge of previous hull structure and relation between various ship design parameters can be useful in designing a Ship’s Hull. Using Software the Designer only have to provide the details of the requirement of ship such as ( operational requirements ,volume estimate, weight estimate etc.),The Software(using different machine learning such as DNN, Fuzzy-logic etc.) should provide a most optimal reference hull (along with its hydrostatic performance) which will help naval architects to derive the desired hull by modifying optimal reference hull. This Software should not only provide the optimal reference hull but also provides different possible hulls (with their hydrostatic performance ), so that the designer should also be able to design that type of hull which is not previously made by any one.
