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Spring-back effect on double arrowhead auxetic structures for EV battery compartment protectors Asep Indra Komara; Indrawanto; Rachman Setiawan; Bagus Budiwantoro; Dedy Ariefijanto
Mechanical Engineering for Society and Industry Vol. 6 No. 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/mesi.14655

Abstract

Cellular structures such as double arrowhead (DAH) have great potential for development as impact-absorbing modules for electric-vehicle battery compartments. The DAH structure is relatively light and absorbs energy well, but the complex manufacturing presents challenges. One potential manufacturing process is sheet metal forming (SMF) technology. In SMF, a common obstacle is spring-back, which affects the assembly process and may reduce the energy-absorption performance of the DAH structure. This article aims to determine the effect of the manufacturing process on the spring-back of the DAH structure on its energy absorption performance. Experimental results showed that all tested conditions produced positive spring-back. Punch velocity had a greater influence than lubrication, where higher punch velocity reduced the spring-back angle, while lubrication showed only a minor effect. The experimental spring-back correction factor (Kθ) ranged from 1.002 to 1.025 depending on the forming conditions. These results indicate that spring-back can be effectively controlled by adjusting punch speed and compensating for tooling angle.
Parameter identification and continuous friction modelling of a brushed DC motor Ahmad’Abdan Syakuro; Vani Virdyawan; Sri Raharno; Indrawanto Indrawanto; Tegoeh Tjahjowidodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 42, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v42.i3.pp699-707

Abstract

Designing high-performance control systems for brushed DC motors is often hindered by the lack of comprehensive dynamic parameters in manufacturer datasheets, particularly for low-cost DC motors. In addition to the parameter identification method, this study also introduces a continuously differentiable friction model incorporating Coulomb and viscous-like behaviors using a hyperbolic tangent function. The electrical and mechanical parameters of an RS-775 motor were identified using standard laboratory tools and the MATLAB system identification toolbox. The proposed model was validated against experimental data under square wave and sinusoidal inputs, achieving a position prediction error of less than 5% and capturing complex dynamic behaviors. The results demonstrate that this accessible identification approach provides a sufficiently accurate dynamic model for educational and industrial robotics applications, offering a superior alternative to trial-and-error tuning.