other applications

Multi-objective topology optimization through GA-based hybridization of partial solutions

The embodiment design of a technical system can be considered as a multi-objective problem that the designer solves by finding geometrical solutions able to satisfy different conflicting requirements. The term ‘‘technical system’’ is intended as a set of independent elements linked together by relations, characterized by a set of properties, which allows to perform a certain function. In commercial software applications for structural topology optimization, the user has to build a model of the technical system to simulate its physical behavior (i.e., FEM with the material properties, loads, etc.) and to define the optimization problem. 

Comparison between Multiobjective Population-Based Algorithms in Mechanical Problem

Unlike single criterion optimization, in multi-objective problems it is not possible to have a single solution that optimizes all objectives, there usually exists a set of non-dominated solutions or Pareto optimal solutions. The first aim of this study was to perform a complete comprehensive comparison between multi-objective optimization methods by using the commercial modeFRONTIER software to solve the standard test problem SCH and FON and examining the efficiency of each method.

Optimization of a Wildfire Emergency System

This case study analyzes the benefits of integrating modeFRONTIER and exploiting its automation and optimization tools for developing complex systems design and deployment.The System Engineering discipline relies on a series of organized steps and procedures which shape the whole System Engineering Process. The macro-steps composing this process are the "Definition and decomposition" of the problem, the "Implementation" of the software/hardware system and the "Integration and recomposition" - i.e. testing and validation - phase.

Multi-objective optimization applied to the mass reduction of a plastic part

The case study presents a multidisciplinary optimization related to the thermoplastic industry. At the PEP technical center for innovation on thermoplastic injection modeFRONTIER to obtain the optimal combination of materials and dimensions. The innovative power of the optimization methodology lies in the possibility to identify solutions which have not even been considered at the first steps of the design process.

Computational transport phenomena in bioprocessing

A variety of transport phenomena can be found in bio- and food engineering, and can be usefully studied to analyze and improve existing processes or pursue innovation. A vast body of fundamental and applied research is presently available, and many approaches have been proposed so far, but a simplification of these approaches may contribute to a broader comprehension of the intimate workings of food processes. Affordable solutions of a variety of models based on PDE differential equations have been made possible by the development and availability of robust and efficient Computational Fluid Dynamics (CFD) codes to realize a flexible computing workplace.

Integration of materials and engineering modelling getting down to atoms

The presentation focuses on the integration of materials and engineering modelling getting down to atoms

MyNode Concept NREC's TurboOPT modeFRONTIER’s fast-track custom integration for Turbomachinary Optimization

The presentation proposes the new node: MyNode a concept NREC's TurboOPT ; modeFRONTIER’s fast-track custom integration for Turbomachinary Optimization

Inspiring the next generation of engineers

The presentation focuses on how to inspire the next generation of engineers

Multiobjective Optimization of Spline Curves using modeFRONTIER

This paper aims to widen the awareness of the readers of the effective application of modeFRONTIER in optimization the splines. The combination of modeFRONTIER and splining is introduced for developing the profile design procedures which use CAD and CAE tools as an interface to the designer and splines for profile construction.

Chained Bezier Parameterization for Shape-and-Bubble-Method Topology Optimization

The following presentation focuses on the chained bezier parameterization for Shape-and-Bubble-Method topology optimization