Reducing frame weight through material dimension optimization: A numerical simulation approach for automatic patient beds

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Agung Prijo Budijono, Susi Tri Umaroh, Wahyu Dwi Kurniawan, Yuli Panca Asmara, Diastian Vinaya Wijanarko, Gibran Dzikri Nakhwa Rabbani

2026 AIP Conference Proceedings Vol. 3319 Issue 1 Conference paper Cited by 0

Abstract

Advancements in science and technology have led to rapid development, particularly in the healthcare sector. These developments include medical equipment and patient needs, such as patient beds designed to ease the workload of nurses. However, many hospital patient beds still use conventional steel materials, which are often too heavy for nurses to move patients easily. This study aims to evaluate the effectiveness of reducing the frame weight by analyzing stress distribution and safety factors in automatic patient bed frames. The approach used is a numerical method based on the Finite Element Method (FEM), with varying dimensions of hollow sections in the bed frames. The material tested is ASTM A36 hollow steel with dimensions of 30 x 30 mm, 25 x 25 mm, and 20 x 20 mm, and a load of 3000 N. Results indicate that the 20 x 20 mm hollow dimension is optimal, with a weight of 2.383 kg, reducing the frame weight by 34.4%. It is recommended to adopt the 20 x 20 mm hollow dimension for patient bed frames to balance weight reduction and structural integrity, enhancing nurse efficiency and patient care. © 2025 Author(s).

Affiliations

Department of Mechanical Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Surabaya, 60231, Indonesia; Department of Mechanical Engineering, Faculty of Engineering, Universitas Trunojoyo, Madura, 69162, Indonesia