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MULTIPLE POINT LOADING on THIN CANTILEVER RECTANGULAR PLATE SUBJECTED to PURE BENDING
Conference paper

MULTIPLE POINT LOADING on THIN CANTILEVER RECTANGULAR PLATE SUBJECTED to PURE BENDING

Aniket Anil Hase1 and Jen-Yuan James Chang
Proceedings of the ASME 2021 30th Conference on Information Storage and Processing Systems, ISPS 2021, V001T02A004
2021

Abstract

Artificial Neural Network Multiple point load Pure Bending Thin plates Hardware and Architecture Information Systems Control and Systems Engineering
In the applications of pure bending of thin cantilever plates, unlike a beam, twisting arises with the bending unless it is accomplished to pure bending. This paper emphases the theoretical study of the integration of multiple point loadings (vertical and Inclined) over the thin plate to eliminate the twisting and predict the definite bending for the linearly elastic material. The cantilever plate is further studied through numerical simulations using finite element analysis (FEA) in ANSYS. This FEA helps to finalize the type of modelling approach that predicts large deflection's behaviour agreeing closely with theoretical solutions. Also, in the experimental procedure, various artificial intelligence (A.I.) techniques can reduce complexity; minimize the dependence on humans, and improve design efficiency. The process presented in this paper is inspired by Euler's classical beam theory (moment-curvature relationship) and ANN, which approximates the problem and compensates the errors.

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