Nowadays, the manufacturing research efforts have to be conceived in such a way that the product performance criteria are achieved in a lightweighting design concept. Taking these extensions to their extreme, the material properties and the manufacturing solutions have to be considered together in a revolutionary body concept, which should result in an ideal sight to the use of the most performing material in the right place depending on the product requirements. Polymer matrix composites (PMCs) belong to this new material category. The development of joining techniques available to connect PMCs and lightweight alloys has been considered as a key enabling solution in making innovative and sustainable products. The goal of obtaining high joint efficiency must face two main problems, i.e. to deal with the polymeric matrices to get mechanical, physical and chemical compatibilities and to attain or preserve the integrity of reinforcements across the joints customizing the fiber distribution in the joining area. The understanding of current and emerging joining technologies, e.g. the friction stir based techniques, with an optimization of the process parameters needs performant numerical tools to be employed, efficiently. In the work herein proposed, a polymeric base plate was joined to an aluminum alloy part simulating the friction lap joint sequences. Numerical tests have been set by a commercial FE code (DEFORM 2DTM ) and a DoE, generated using hypercube sampling, was defined to perform a sensitivity analysis of specific investigated variables on some process outputs. A further objective is to create transfer functions involving the input and output quantities of interest. Particularly, the sparse Proper Generalized Decomposition (sPGD) is the implemented numerical algorithm that making use of two ingredients, the separation of variables together with a collocation procedure, allows achieving a prediction tool usable in improving the process performance.
Analyses on friction stir based techniques to join lightweight alloys to thermoplastic matrix parts
Gagliardi F.
;Filice L.;Chinesta F.
2021-01-01
Abstract
Nowadays, the manufacturing research efforts have to be conceived in such a way that the product performance criteria are achieved in a lightweighting design concept. Taking these extensions to their extreme, the material properties and the manufacturing solutions have to be considered together in a revolutionary body concept, which should result in an ideal sight to the use of the most performing material in the right place depending on the product requirements. Polymer matrix composites (PMCs) belong to this new material category. The development of joining techniques available to connect PMCs and lightweight alloys has been considered as a key enabling solution in making innovative and sustainable products. The goal of obtaining high joint efficiency must face two main problems, i.e. to deal with the polymeric matrices to get mechanical, physical and chemical compatibilities and to attain or preserve the integrity of reinforcements across the joints customizing the fiber distribution in the joining area. The understanding of current and emerging joining technologies, e.g. the friction stir based techniques, with an optimization of the process parameters needs performant numerical tools to be employed, efficiently. In the work herein proposed, a polymeric base plate was joined to an aluminum alloy part simulating the friction lap joint sequences. Numerical tests have been set by a commercial FE code (DEFORM 2DTM ) and a DoE, generated using hypercube sampling, was defined to perform a sensitivity analysis of specific investigated variables on some process outputs. A further objective is to create transfer functions involving the input and output quantities of interest. Particularly, the sparse Proper Generalized Decomposition (sPGD) is the implemented numerical algorithm that making use of two ingredients, the separation of variables together with a collocation procedure, allows achieving a prediction tool usable in improving the process performance.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
