New characterizing method of a 3D parametric lattice structure

Edouard, Rémi; Chibane, Hicham; Denis, Cavallucci

doi:10.5937/fme2104894e

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…After analyzing several studies on the desired performance for lattice structure [25][26][27], we propose an energy absorber as a case study that can serve several applications in the mechanical domain. It focuses on the design of an energy absorber whose main component is a lattice structure.…”

Section: Presenting the Case Studymentioning

confidence: 99%

Integrating the Generalized Table of Parameters and contextual database in an inventive design method to extract problems to be solved

Abdellatif,

Chibane,

Dubois

et al. 2024

FME Transactions

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Numerous TRIZ-based methods to extract the core problems to be solved within the inventive problem-solving process are released. Nevertheless, one acknowledged limitation of these methods is how to select the most important problem, "contradiction," to be solved. One of the interesting developed tools to model the system parameters is the Generalized Table of Parameters (GTP). However, the GPT has not yet been integrated as an essential tool within TRIZ-based methods. In this article, we aim to develop a method to integrate the GTP in the inventive design process to extract the most important contradictions to be solved. To illustrate the presented method, the authors would apply the method to extract the prioritized problem to be solved of a mechanical shock absorber based on lattice structure within a particular mechanical field context.

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Section: Presenting the Case Studymentioning

confidence: 99%

Integrating the Generalized Table of Parameters and contextual database in an inventive design method to extract problems to be solved

Abdellatif,

Chibane,

Dubois

et al. 2024

FME Transactions

Self Cite

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“…This application helps us to evaluate its applicability. Due to the wide use of LS in energy-absorbing applications, the energy absorption of this kind of structure has always been an interesting research topic for materials scientists and engineers (Li et al , 2019; Edouard et al , 2021). Energy-absorbing structures are the components that convert kinetic energy into other types of energy, such as plastic strain through large deformations of the material (Fazilati and Alisadeghi, 2016).…”

Section: Application Of the Proposal To The Lattice Structure Case Studymentioning

confidence: 99%

Artificial intelligence methods for improving the inventive design process, application in lattice structure case study

Hanifi

Chibane

Houssin

et al. 2022

AIEDAM

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Nowadays, firms are constantly looking for methodological approaches that help them to decrease the time needed for the innovation process. Among these approaches, it is worth mentioning the TRIZ-based frameworks such as the Inventive Design Methodology (IDM), where the Problem Graph method is used to formulate a problem. However, the application of IDM is time-consuming due to the construction of a complete map to clarify a problem situation. Therefore, the Inverse Problem Graph (IPG) method has been introduced within the IDM framework to enhance its agility. Nevertheless, the manual gathering of essential information, including parameters and concepts, requires effort and time. This paper integrates the neural network doc2vec and machine learning algorithms as Artificial Intelligence methods into a graphical method inspired by the IPG process. This integration can facilitate and accelerate the development of inventive solutions by extracting parameters and concepts in the inventive design process. The method has been applied to develop a new lattice structure solution in the material field.

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“…Optimization by the design expe-riment method was made to have the most optimized design parameters in terms of mass; this method has been used in several works, including the work of Edo-uard, R et al [33], who used this method to study the influence of geometrical parameters on mechanical res-ponses. In addition, the results obtained concerning the performance parameters (P i ) were compared with the performance parameters of a reference solution (P * i ) in order to assess the objective accuracy of the behavior model used Table 3.…”

Section: Assessment Of Behavior Model Accuracymentioning

confidence: 99%

Early environmental assessment of products using behavior models and the impact of their inaccuracy on environmental product performance

Bouyarmane¹,

El²,

Sallaou³

2022

FME Transactions

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The decisions made during the preliminary design phases considerably impact the development of a product's lifecycle, acting on its environmental performance, cost, and duration of its realization. However, the lack of relevant information during these phases does not allow for the accurate evaluation of design solutions. In addition, it generates schedule delays and overruns in the budget allocated to developing a given solution. In this perspective, the present work aims to assess the accuracy of the behavior models used for exploring solutions during the embodiment phase. This was based on two measures of different nature, namely objective accuracy, which is evaluated by referring to real prototyping of a given solution, and the subjective accuracy measure, which allows to the expression of the degradation of the first measure in relation to the reference point. This combination will lead to a measure that can be generalized on all the design space. In a second step, the current work suggests an estimation of the effect of these models' accuracy on the proposed solutions' environmental impact. To this end, a sensitivity study was carried out on the input data of the model (design parameters) in order to deduce the effect of the results obtained (performance parameters) on the mass and, consequently, the environmental impact of the solution. In order to highlight the approach adopted in the present study, it was applied to a real industrial case, ultimately leading to the most optimized solution in terms of accuracy and environmental impact.

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New characterizing method of a 3D parametric lattice structure

Cited by 5 publications

References 33 publications

Integrating the Generalized Table of Parameters and contextual database in an inventive design method to extract problems to be solved

Integrating the Generalized Table of Parameters and contextual database in an inventive design method to extract problems to be solved

Artificial intelligence methods for improving the inventive design process, application in lattice structure case study

Early environmental assessment of products using behavior models and the impact of their inaccuracy on environmental product performance

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