Vol 6 - Issue 2

Uncertainties and Reliability of Multiphysical Systems

List of Articles

Deep drawing and the technique of making forms that cannot be developed by cold plastic deformation of the sheet, generally using double-acting tools and requiring a great effort of drawing, the deformations caused by deep drawing lead to changes in the thickness of the sheet, which in certain areas become thinner, leading to excessive thinning or rupture, while others subjected to compression or shrinkage tend to thicken by generating folds or ripples, which makes this process more difficult and poses a major problem for large parts manufacturing industries, especially the automotive industry, Hence the interest to act on the parameters impacting deep drawing to remove these defects. In this paper, an overview of the various factors impacting the formability of parts from the deep drawing process and which cause defects in aspects such as folds, ripples, breaks.

This paper aims to improve the material gain of an optimized multi-component product without affecting its dimensions and performance. The weight reduction was achieved by optimizing the topology using the SIMP method. first, the part was geometrically modelled by the Catia V5R21 software, then an ANSYS solver is applied to choose the appropriate material and study the loads and stresses acting on the component of the multi-component system "perforator" a mass reduction up to 64% will be achieved on the topological optimization of the studied part. then, the obtained results are compared to other results of the literature. this significant reduction in mass and volume without altering the mechanical characteristics of the system, with an improvement in performance. Implementing the topologique optimization using ANSYS software, this reduction influences the manufacturing time as well as the cost of the part. finally, the implementation of the SIMP method using ANSYS allowed us to determine an optimal configuration of mechanical components for 3d printing according to pre-established parameters with sufficient strength.

This review seeks to classify the different developments of the Reliability-Based Topology Optimization (RBTO) according to their formulations and methods. According to the RBTO formulations, two standpoints (topology and reliability standpoints) are generally treated, while according to methods, they are divided into loop and mixed methods. The different trends and gaps are discussed later. The selected publications over the last two decades (from December 2001 to December 2021) contain the term RBTO in their title and restricted to English language. There are several other publications, which have been written in other languages and some others containing the integration of the reliability analysis into topology optimization, but the RBTO was not included in their titles. These two types of publications are unfortunately not included in this review since it is the objective to provide the readers (especially the new researchers) a good guide (map) to the different RBTO developments and applications. Some additional publications considering other objective and constraint functions and dealing the RBTO with microstructural levels are also included since they were realized under the same period and containing the term of RBTO in their title. The first publication of the Reliability-Based Topology Optimization model was a technical report at Aalborg University in Denmark, published in December 2001. It was a new model where many critical discussions appeared between the topology optimization community and the reliability one during 2002 and 2003 (in several meetings and conferences). That led to delay the appearance of the first journal articles until 2004. According to the author’s knowledge, more than 70 journal papers and more than 25 other publications (conference papers, chapters, reports... etc.) have been found during the last two decades. Almost 50% of journal papers have been published during the last four years which means that there is a strong interest to implement this model.

Additive manufacturing builds objects from digital files and this layer by layer. Nowadays, additive manufacturing technologies are in full development, and are used in several industrial fields: medical, automotive, aeronautics, agriculture. It has a significant number of benefits, including mass reduction, design freedom, waste reduction and rapid prototyping with a wide selection of possible material to use. In this paper, an overview of the different technologies encompassing the term additive manufacturing as well as the different manufacturing materials, including a study on its advantages and disadvantages as a reference point for future research and development.

In the context of sustainable development, faced with the dual global challenge of the imminent depletion of fossil energy resources and the negative impact of fossil fuels on the environment, the use of renewable energy is becoming a good alternative. Today, the installation of wind farms around the world is booming, and aerodynamic research on wind turbines is highly specialized. Using Computational Fluid Dynamics (CFD), it is possible to assess the influence of loads on the aerodynamic performance of the wind turbine. To improve its performance and reliability, a good modelling of the airflow around the turbine is very important. In this paper, the study is divided into three parts: Firstly, the aerodynamic study of the blade was carried out with ANSYS CFX. Secondly, the modal analysis in pre-stressed mode was performed to find the natural frequencies of the blade with ANSYS MECHANICAL. The last part is devoted to the study of the reliability of the wind turbine blade with FORM and SORM methods developed with a MATLAB code.