Periodic Reporting for period 1 - MADAM (MATERIAL DESIGN FOR ADDITIVE MANUFACTURING (MADAM))
Periodo di rendicontazione: 2019-09-01 al 2021-08-31
This project addressed the lighten of structures by the use of a new methodology of spiatially varying advanced and lattice materials.
Their perfect trade-off between simplicity and properties performance made them ideal for a new generation of lightweighting structures.
The addittive manufacturing development over the last years enabled the manufacturability of the proposed structures, which are in general complex and far from intuitive.
The propsed methodology enabled to design structures and pieces that perform as the current ones but with much less wieght. This will not only save material resources, it can significantly reduce the CO impact that the transport industry produce.
The first objective of the project was to develop numerical algorithms to solve the material design problem when considering addittive manufacturing constraints.
The second objective was to also develop numerical algorithms to solve the material design problem but this case when considering stress constraints.
Finally, the third objective was to develop second order optimization algorithms to efficiently solve the material desing problem.
Their perfect trade-off between simplicity and properties performance made them ideal for a new generation of lightweighting structures.
The addittive manufacturing development over the last years enabled the manufacturability of the proposed structures, which are in general complex and far from intuitive.
The propsed methodology enabled to design structures and pieces that perform as the current ones but with much less wieght. This will not only save material resources, it can significantly reduce the CO impact that the transport industry produce.
The first objective of the project was to develop numerical algorithms to solve the material design problem when considering addittive manufacturing constraints.
The second objective was to also develop numerical algorithms to solve the material design problem but this case when considering stress constraints.
Finally, the third objective was to develop second order optimization algorithms to efficiently solve the material desing problem.
The project has designed optimal micro-structure geometries when considering a super-ellipsoidal hole not only for compliance minimization but also for stress minimiation.
We have alse compared the proposed geometries with other optimal geometries (available in the literature) and shown the increse in simplicity obtained with the proposed methodology.
Addittionally, we have proposed optimal microstructures independent of the stress load by averaging optimal geometries for different stress cases.
We have also simplified the numerical solutiosn by regularizing the obtain optimal super-ellipsoidal hole via analytical function.
In this sense, we have also computed all the amplificators when considering micro-structural stress.
Addittionally, we have computed the optimization of macroscopic topology when considering stress minimization and we have finally de-homogenisation the macro-scopic structure (in collaboration with Dr. Perle Geoffroy).
We have confirmed and validated the implementation of the algorithms solving several relevant examples used in the literature (Cantilever and L-shape structures).
We have alse compared the proposed geometries with other optimal geometries (available in the literature) and shown the increse in simplicity obtained with the proposed methodology.
Addittionally, we have proposed optimal microstructures independent of the stress load by averaging optimal geometries for different stress cases.
We have also simplified the numerical solutiosn by regularizing the obtain optimal super-ellipsoidal hole via analytical function.
In this sense, we have also computed all the amplificators when considering micro-structural stress.
Addittionally, we have computed the optimization of macroscopic topology when considering stress minimization and we have finally de-homogenisation the macro-scopic structure (in collaboration with Dr. Perle Geoffroy).
We have confirmed and validated the implementation of the algorithms solving several relevant examples used in the literature (Cantilever and L-shape structures).
The progress beyond state of the art and scientific impact is reflected with the article published with these project where we advanced on solving the challenge problem of stress minimization.
Up to now, no other work has been done in the literature. We expect in the short future to have results in 3D. Addressing industrial problems is also expected in the short future.
Regarding the potential indsutrial impact, in the short future, the transport industry should benefit from the algorithms we are developing. Addittionally, the software engineering companies should benefit in the short future. Addittive manufacturing industries will be able to provide new optimal designs.
Regarding the personal impact and next career step, I have been awarded with a Tenure track position in my origin university. This is definitely thanks to the MSCA action and how much I had progress during these period.
Up to now, no other work has been done in the literature. We expect in the short future to have results in 3D. Addressing industrial problems is also expected in the short future.
Regarding the potential indsutrial impact, in the short future, the transport industry should benefit from the algorithms we are developing. Addittionally, the software engineering companies should benefit in the short future. Addittive manufacturing industries will be able to provide new optimal designs.
Regarding the personal impact and next career step, I have been awarded with a Tenure track position in my origin university. This is definitely thanks to the MSCA action and how much I had progress during these period.