A novel sensitivity analysis on friction spot joining process performed on aluminum\polycarbonate sheets by simulation
TypeArticles dans des revues avec comité de lecture
The manufacturing research has been focusing on the improvement of product performance and lightweight design. The synergic effects between material properties and manufacturing solutions have been considered, extensively. Specifically, joining techniques have been developing with the aim to propose new suitable solutions considering dissimilarities in the properties of the materials that have to be combined. Setting of new manufacturing routes is, therefore, a demanding task. In this direction, there are several methods available in the scientific literature that are focused on sensitivity analysis or optimization/minimization techniques to reduce the necessary attempts or to find a solution/correlation among big data. In this work, the goal of obtaining high joint efficiency between Aluminum and Polycarbonate sheets by the Friction Spot Joining process is considered as a case study. This process must face two main issues, i.e., the mechanical, physical and chemical compatibilities between the parts and the integrity protection of the polymeric sheet near the joining area. The process parameters influences were analysed using numerical simulations performed by a commercial FE code. The number of executed analyses was reduced with a planned DoE. From these results, the Code2Vect algorithm was employed with the aim to visualize, efficiently, high-dimensional data and to evaluate the influences of some identified parameters on the process answer. Finally, a transfer function involving the input and output quantities of interest was derived in a compact representation by a Newton Raphson minimization technique.
Showing items related by title, author, creator and subject.
QUARANTA, Giacomo; ARGERICH MARTIN, Clara; IBÁÑEZ, Rubén; DUVAL, Jean Louis; CUETO, Elias; CHINESTA, Francisco (Elsevier Masson SAS, 2019)The present paper analyzes different integration schemes of solid dynamics in the frequency domain involving the so-called Proper Generalized Decomposition – PGD. The last framework assumes for the solution a parametric ...
ARGERICH MARTÍN, Clara; IBÁÑEZ PINILLO, Rubén; BARASINSKI, Anaïs; CHINESTA, Francisco (ELSEVIER, 2019)The aim of this paper is to present a new classification and regression algorithm based on Artificial Intelligence. The main feature of this algorithm, which will be called Code2Vect, is the nature of the data to treat: ...
IBAÑEZ, Ruben; CASTERAN, Fanny; ARGERICH, Clara; GHNATIOS, Chady; HASCOET, Nicolas; AMMAR, Amine; CASSAGNAU, Philippe; CHINESTA, Francisco (MDPI, 2020)This paper analyzes the ability of different machine learning techniques, able to operate in the low-data limit, for constructing the model linking material and process parameters with the properties and performances of ...
Tape surface characterization and classification in automated tape placement processability: Modeling and numerical analysis ARGERICH, Clara; IBÁÑEZ, Rubén; LEÓN, Angel; ABISSET-CHAVANNE, Emmanuelle; CHINESTA, Francisco (AIMS Press, 2018)Abstract: Many composite forming processes are based on the consolidation of preimpregnated preforms of different types, e.g., sheets, tapes, .... Composite plies are put in contact using different technologies and ...
CASTÉRAN, Fanny; IBANEZ, Ruben; ARGERICH, Clara; DELAGE, Karim; CHINESTA, Francisco; CASSAGNAU, Philippe (Wiley, 2020)The purpose of this paper is to combine a classical 1D twin-screw extrusion model with machine learning techniques to obtain accurate predictions of a complex system despite few data. Systems involving reactive polyethylene ...