International Journal of Advanced Science Computing and Engineering
Vol. 8 No. 2 (2026)

The Structural Design and Optimization of an Industrial Lift Platform Using Composite Profiles

Mayur S. Awale (Master in Design Engineering, Shivaji University, Kolhapur, India)
Sanjaykumar Gawade (Rajarambapu Institute of Technology (RIT), Urun-Ishwarpur, India)



Article Info

Publish Date
27 Aug 2026

Abstract

The structural design and optimization of an industrial lift platform through the application of composite profiles, specifically sandwich structures, to enhance performance characteristics compared to conventional metallic (steel)designs. The primary goal is to significantly reduce the platform's overall weight without compromising essential safety factors and functional requirements, such as load-bearing capacity and stiffness. The methodology under development involves detailed 3D models of the lift platform using CAD software and performing extensive structural analyses, typically the Finite Element Method (FEM) in software like ANSYS Workbench. Various composite material properties and cross? sectional geometries (e.g., triangular, rectangular, circular cores) are explored and compared under simulated operational conditions, including static and dynamic loads. Optimization techniques, such as topology and size optimization, are applied to determine the most efficient design parameters for the composite structure. The results consistently demonstrate that platforms can achieve substantial weight savings, often in the range of 19% to 50% compared to steel structures, while meeting or exceeding strength and deflection limits. The findings confirm the technical feasibility and practical implications of using composite profiles for lightweight, high-performance industrial lift platforms, leading to potential benefits in cost savings, energy efficiency, and ease of transport. The study technically validates the feasibility of utilizing optimized composite sandwich profiles in the design of industrial lift platforms. Implementing these materials reduces weight, translating into practical benefits such as lower operational costs, improved energy efficiency, and longer service life. The outcomes of this research provide a robust design framework for future lightweight industrial-machinery components.

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Journal Info

Abbrev

IJASCE

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded ...