CE10 - Industrie et usine du futur : Homme, organisation, technologies 2021

Robust design for additive manufacturing – RobustAM

Robust design for additive manufacturing

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Challenges and objectives

The level of maturity of additive manufacturing (AM) technologies allows for numerous quasi-industrial applications in aerospace and certain automotive sectors. Simulation tools and experimental approaches allow for better control of this process. However, uncertainties remain regarding the reliability and reproducibility of the products obtained. The objective of the RobustAM project is to propose a robust optimization approach taking into account epistemic and random uncertainties in a global approach to integrated product/process design for AM. Based on the analysis of existing product/process models, the classification and modeling of uncertainty sources, this project implements multi-objective optimization techniques in uncertain contexts to develop tools to better control the effects of these uncertainties during product design. The RobustAM project attempts to overcome the following scientific obstacles: 1) The identification of the phenomena involved in the envisaged AM processes and the associated uncertainties. 2) The choice of appropriate models to obtain the right compromise between accuracy of results and performance (time) of simulations. 3) The identification of parameters to be modeled and measured to compare the manufactured parts and their modeling. 4) The identification of noise parameters and design parameters and robustness metrics in the optimization.

This project includes an experimental part of manufacturing and characterization of test parts using the existing means in the consortium. These test parts will be specific to the 3 different processes studied: 1) Extrusion of polymer threads loaded with carbon fiber. 2) ADAM technology using metal powder sheathed in a thermoplastic filament. 3) WAAM arc-thread technology.

The deliverables of this project will consist of a software framework based on open-source technologies, example use cases and experimental data in open-data format.

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Pulickan, S.; Lafon, P.; Langlois, L.; Chevret, S. Assessment of wire arc additive manufacturing with respect to the repeatability of the process under uncertainties. Materials Research Proceedings. 2024, 41, 164-173.

Nowadays, and due to its maturity level, the additive manufacturing technology is used in quasi-industrial applications in various engineering fields, such as aerospace and automotive domains. Many simulations tools and experimental methods enable a better understanding and control of this process, but many sources of uncertainties remain on the reliability and the reproducibility of the manufactured AM products.
The objective of this project is to propose a robust optimization approach considering epistemic and aleatory uncertainties in a global product / process design approach for additive manufacturing.
From the analysis of existing product and process models, the analysis of the sources of uncertainty, their classification and then their modeling, this project will implement the best multi-objective optimization techniques under uncertainties, in order to develop a toolbox for efficient control of effects of uncertainties during product design by exploiting the full potential of additive manufacturing.
RobustAM project intends to unlock the following scientific locks:
• Identification of the main manufacturing phenomena, mechanical behaviors, and their associated uncertainties.
• Selection of appropriate models to get the good balance between accurate results and simulation performances.
• Identification of parameters to model and to measure to compare real products characteristics and theorical models.
• Identification of noise parameter and design parameters along with robustness metrics.

This project includes an experimental work that consist in manufacturing and characterizing test parts using existing facilities of the consortium members. These test parts will be specific to the 3 different processes studied: 1) extrusion of polymer threads loaded with carbon fiber, 2) ADAM technology using metallic powder sheathed in a thermoplastic filament and 3) arc-wire WAAM technology. The deliverables of this project will be a software framework based on open-source technologies and examples of use on test cases with the necessary experimental data.
The consortium is made up of 2 laboratories: the Design, Manufacturing and Control laboratory (LCFC) from the campus of Metz of Arts et Métiers Engineering school and the Mechanical Systems and Simultaneous Engineering Laboratory of the University of Technology of Troyes associated with the EPF Engineering school of Troyes.

Project coordination

Jean-Yves DANTAN (ECOLE NATIONALE SUPERIEURE D'ARTS ET METIER - LABORATOIRE CONCEPTION FABRICATION COMMANDE)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

ENSAM - LCFC ECOLE NATIONALE SUPERIEURE D'ARTS ET METIER - LABORATOIRE CONCEPTION FABRICATION COMMANDE
UTT-LASMIS UTT-Laboratoire des Systèmes Mécaniques et d’Ingénierie Simultanée

Help of the ANR 338,765 euros
Beginning and duration of the scientific project: September 2021 - 48 Months

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