MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123000 A) filed by Dr. L Ponraj Sankar; Dr. Sivakumar Paramasivam; Dr. Dadapeer Doddamani; Dr. S. Nagarajan; Dr. Ksk Sasikumar; Dr. R. Kirubagharan; Mr. K. Ramachandran; Dr. B. Jegan; Sowmya S; and B. Devi on October 14, 2026, for Finite Element Analysis And Optimization Of Lightweight Composite Structures For Automotive Applications.

Inventors include Dr. L Ponraj Sankar; Dr. Sivakumar Paramasivam; Dr. Dadapeer Doddamani; Dr. S. Nagarajan; Dr. Ksk Sasikumar; Dr. R. Kirubagharan; Mr. K. Ramachandran; Dr. B. Jegan; Sowmya S; and B. Devi.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: Lightweight composite components are attractive for automotive structures because the laminate stacking sequence and sectional geometry can be tailored to stiffness, strength, vibration and production requirements. This paper develops a reproducible finite element analysis (FEA) and constrained design-optimization framework for a representative floor cross-member, comparing a steel reference with glass-fibre-reinforced polymer (GFRP), carbon-fibre-reinforced polymer (CFRP) and hybrid laminates. The proposed workflow connects orthotropic lamina constitutive modelling, laminate failure assessment, mesh verification, design-of-experiments screening and Pareto-based selection. A nominal 900 mm-span cross-member with symmetric static loading provides a transparent example. Six design scenarios and an example convergence series are presented to illustrate reporting and decision rules. Within this dataset, the selected hybrid candidate has a nominal mass of 2.61 kg versus 4.80 kg for the steel datum (a calculated 45.6% difference), a nominal displacement of 1.71 mm and an illustrative failure index of 0.79. Before any performance claim or automotive qualification, these outcomes must be replaced by solver exports and verified against coupon, subcomponent and dynamic impact tests. The principal contribution is an auditable FEA–optimization protocol that explicitly separates assumed inputs, computational requirements and demonstrative outcomes. Accompanied Drawing [FIG. 1] [FIG. 2] [FIG. 3] [FIG. 4]

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