Rene Davila-De-La-Peña

Mr. Rene Davila-De-La-Peña


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2026 in Applied Sciences
Verified
Journal Article
Open access
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ERErik Rosado-Tamariz
Erik Rosado-Tamariz
RDRene Davila-De-La-Peña
Rene Davila-De-La-Peña
Rafael Campos AmezcuaRafael Campos Amezcua
Rafael Campos Amezcua
CGCarlos Daniel Garcia-Beltran
Carlos Daniel Garcia-Beltran
ACAlfonso Campos-Amezcua
Alfonso Campos-Amezcua
JCJorge Yusef Colín Castillo
Jorge Yusef Colín Castillo
Lightweight structural design is a critical objective in automotive engineering, particularly for suspension components that directly influence unsprung mass and vehicle dynamics. Although topology optimization is widely used to achieve high stiffness-to-weight ratios, conventional approaches are often limited by single-objective formulations or by a lack of geometric interpretability in multi-objective solutions. This study proposes a multi-stage topology optimization framework for the conceptual design of an automotive suspension upright. The methodology decouples stiffness-driven and stress-driven optimization processes and introduces a parametric synthesis stage in which key structural features from both solutions are systematically integrated into a geometrically interpretable design. The framework is evaluated on a Formula SAE front upright under representative braking and cornering load conditions. The resulting hybrid configuration achieves a 29.44% reduction in mass (from 616.9 g to 435.3 g) while maintaining structural performance, with a maximum von Mises stress of 220.0 MPa, a safety factor of 2.28, and a maximum deformation of 0.88 mm. The results demonstrate that the proposed approach enables a balanced integration of stiffness and stress criteria through feature-based design synthesis. Beyond numerical performance, the methodology provides a reproducible and interpretable workflow that bridges topology optimization and practical engineering design.