optimization global search

Multidisciplinary optimization of the thermal and structural model of a building

Building energy performance largely depends on facade design and local weather characteristics. modeFRONTIER has been used - together with Rhino/Grasshopper plugin - to maximize winter radiation and minimize structural mass of a office building floor located in Toronto, Canada.

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.

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

The characterization of the superplastic behaviour of the Titanium (Ti) alloy Ti6Al4V-ELI (Extra Low Interstitial), largely adopted for biomedical applications, was carried out by means of free-inflation tests: both tests at a constant pressure and alternatively varying the gas pressure between two levels (JP test) were performed. 

Formulation and optimization of involute spur gear in external gear pump

The study focuses on developing a methodology of designing asymmetric involute gear, and formulate analytical expression for the instantaneous flowrate and flow non-uniformity given by asymmetric, non-standard involute gear pumps. 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.​