Artap: Robust Design Optimization Framework for Engineering Applications

TL;DR

Artap is an open-source, flexible framework that integrates multiple numerical solvers and optimization tools to facilitate robust design optimization, parameter identification, and shape optimization in engineering.

Contribution

It introduces a comprehensive, open-source platform that combines diverse solvers and algorithms with automatic parallelization for robust engineering design optimization.

Findings

Successfully applied to induction brazing process design

Demonstrates ease of integration with various solvers and algorithms

Provides automatic parallelization to speed up optimization

Abstract

The main goal of the Artap project is to provide an extensive infrastructure for robust design optimization, where usually many different numerical solvers have to be used together and the impact of the manufacturing uncertainties have to be minimized. Artap is an open-source software platform, developed jointly with the coupled numerical field solver, Agros Suite. Artap ensures interfaces for a broad collection of optimization algorithms (genetic and evolutionary algorithms, various interfaces to libraries such as Nlopt, Bayesopt, etc .), tools for machine learning (neural networks, Gaussian processes, etc. ), finite element solvers (Agros Suite, Comsol, Multiphysics, deal.II). The implemented tools offers an easy and straightforward solution not only for robust design optimization but parameter identification, model order reduction, and shape optimization, as well. Moreover, Artap provides automatic parallelization of the optimization process. The paper presents the structure of the framework and technologies powering the project. The main features of Artap are demonstrated on an induction brazing process design tasks.