Aug 2026· Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering· 0 citations· 21 references
Abstract
Current transmission design methodologies often optimize single parameters or physical fields, while conventional heuristic algorithms suffer from premature convergence and lack interpretability. To address these limitations, this paper proposes an integrated optimization design method for planetary gear sets and wet clutches. The approach leverages multi-physics simulations to extract evaluation metrics, constructing a comprehensive evaluation index via radar charts and the Analytic Hierarchy Process (AHP). A neural network-based surrogate model is then employed to predict the global solution space and identify optimal designs efficiently. Applied to an advanced transmission system, this method evaluates feasible candidates through integrated system simulation, 3D modeling, and finite element analysis. Results demonstrate significant improvements, increasing the comprehensive evaluation indices of the planetary gear set and wet clutch by 32.9% and 23.8%, respectively. This study offers a practical reference for efficient multi-parameter, multi-objective optimization of complex transmission components.
In the preliminary vehicle design process, Finite Element Analysis (FEA) and Multi-Body Dynamics (MBD) simulations require detailed physical parameters that are not available during the conceptual design phase. This study proposes a novel analytical algorithm that uses a virtual weighting approach to rapidly establish...
Multi-objective optimization has become an indispensable tool for solving engineering design and manufacturing problems involving multiple conflicting objectives. This paper presents a novel parameter-less multi-objective optimization (MOO) framework that combines the strengths of evolutionary MOO techniques with the p...
Ravipudi Venkata Rao, Ajinkya Salve, J. P. Davim· Journal of Manufacturing and...· 0 citations
To address the tradeoff among high force, fast response, and compact volume in active magnetic dry friction dampers, this paper proposes a systematic multi-objective optimization framework centered on an interpretable global design surface. A parametric analytical model mapping the electromechanical couplings is establ...
Jian Ge, Qian Song, Shu-Qian Cao et al.· AIAA Journal· 0 citations
This study presents a data-driven, real-time drilling optimization framework and a direct comparison between single-objective PSO and multi-objective PSO (MOPSO) for optimizing WOB, RPM, and flow rate (Q). A stacked ensemble surrogate model was trained to predict ROP and HMSE, achieving high generalization accuracy (RO...
Conventional optimization still poses a significant challenge when it comes to producing the designs required for modern communication technologies. Previous studies have mainly focused on effectiveness and computational efficiency, but have not sufficiently addressed robustness, an essential factor in surrogate-assist...
Agusriandi, A. Affandi, Eko Setijadi· Engineering, Technology &...· 0 citations
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