An Evolutionary Multi-Objective Optimization Framework for bi-level problems
Bi-level Programming Problems (BPPs) are hierarchical optimization problems where an optimal solution at the lower level is used as a constraint at the upper level. This work introduces an optimization framework based on the proprietary Multi-Objective Genetic Algorithm for Structured Inputs (MOGASI) which was extended and adapted to two real-world BPPs related to pricing systems.
White Paper | Aerodynamic Design Best Practices Using PowerFlow and modeFRONTIER optimization
The example in this paper is an aerodynamic guidance study of a generic SUV-type vehicle. The goal was to understand the impact of rear end design changes to provide guidance for achieving minimized drag, while also considering rear lift and side force fluctuations. The project was conducted on ExaCLOUD, which provided secure, web-based access to the complete Exa simulation software suite and modeFRONTIER.
Process Integration and Optimization of ICME Carbon Fiber Composites for vehicle lightweighting: a preliminary development
Different from the Sheet Molding Compounds (SMC) structure, the unidirectional (UD) structure (laminate) has multiple layers, and each layer has anisotropic properties. The layout of each component in the vehicle structure needs to be optimized in order to achieve the optimum structure performance such as stiffness, durability, NVH, and safety. he multi-layer UD structure optimization is implemented on the platform of modeFRONTIER.
Optimization on Fuel Injection Parameter of Heavy-Duty Diesel Engine Based on Multi-Objective Genetic Algorithms
By using the GT-power software to establish the computing model of diesel engines and employing the modeFRONTIER multiobjective genetic algorithm (MOGA), this study carried out optimal research on performance indicators of diesel engines such as BSFC, NOX, soot, HC and CO, achieved the optimal solution to combination of injection parameters, and analyzed the relationship between optimal objective and fitness.
Optimization of a dish stirling system working with DIR-type receiver using multi-objective techniques
Multi-objective optimization based on NSGA-II algorithm has been employed to optimize the power and the efficiency of the system, by means of integration of Dish Stirling mathematical model in modeFRONTIER.
Lucid Motors boosts electric vehicle performance with modeFRONTIER
Lucid Air prototypes are undergoing a rigorous development program. modeFRONTIER has been used - together with other applications - to optimize the design of an inverter with the aim of enhancing efficiency and minimize failure rates.
ESTECO webinar recording | Exploiting Design of Experiments (DOE) techniques for multibody and structural vehicle analysis with modeFRONTIER, Adams and MSC Nastran
On August 29th, 2017 ESTECO hosted expert engineers from MSC Software who demonstrated the advantages of the integration of their software in modeFRONTIER workflow to identify better solutions using Design of Experiment for multibody and structural vehicle analysis.
Knowledge-Based Integrated Aircraft
A multidisciplinary optimization framework connecting the geometric model, aerodynamic model and structural model is performed on a wing shape with predefined loads on the wing. For global optimization, MOGA is used and for local optimization Simplex algorithm is used as the design variables are continuos.
Inverse analysis approach for determining the superplastic behaviour of the Titanium alloy Ti6Al4V-ELI
superplastic behaviour Ti6Al4V-ELI
Formulation and optimization of involute spur gear in external gear pump
These analytical expressions are then used within a multi-objective numerical optimization algorithm aimed at minimizing both the ﬂow non-uniformity and the pump size to achieve a speciﬁc displacement.