Virtual mechanical product disassembly sequences based on disassembly order graphs and time measurement units

Recently, the approach that defines the total life cycle assessment (LCA) and the end of life (EoL) in the early design phases is becoming even more promising. Literature evidences many advantages in terms of the saving of costs and time and in the fluent organization of the whole design process. Design for disassembly (DfD) offers the possibility of reducing the time and cost of disassembling a product and accounts for the reusing of parts and of the dismantling of parts, joints, and materials. The sequence of disassembly is the ordered way to extract parts from an assembly and is a focal item in DfD because it can deeply influence times and operations. In this paper, some disassembly sequences are evaluated, and among them, two methods for defining an optimal sequence are provided and tested on a case study of a mechanical assembly. A further sequence of disassembly is provided by the authors based on experience and personal knowledge. All three are analyzed by the disassembly order graph (DOG) approach and compared. The operations evaluated have been converted in time using time measurement units (TMUs). As result, the best sequence has been highlighted in order to define a structured and efficient disassembly

Génération des séquences de désassemblage et leur évaluation : Intégration dans un environnement de réalité virtuelle

Integration of disassembly operations during product design is an important issue today. It is estimated that at the earliest stages of product design, the cost of disassembly operations almost represents 30 % of its total cost. Nowadays, disassembly operation simulation of industrial products finds a strong interest in interactive simulations through immersive and real-time schemes. In this context, in the first place, this thesis presents a method for generating the feasible disassembly sequences for selective disassembly. The method is based on the lowest levels of a disassembly product graph. Instead of considering the geometric constraints for each pair of components, the proposed method considers the geometric contact and collision relationships among the components in order to generate the so-called Disassembly Geometry Contacting Graph (DGCG). The latter is then used for disassembly sequence generation thus allowing the number of possible sequences to be reduced by ignoring any components which are unrelated to the target. A simulation framework was developed integrated in a Virtual reality environment thus allowing generating the minimum number of possible disassembly sequences. Secondly, a method for disassembly operation evaluation by 3D geometric removability analysis in a Virtual environment is proposed. It is based on seven new criteria which are: visibility of a part, disassembly angles, number of tools' changes, path orientation changing, sub-assembly stability, neck score and bending score. All criteria are presented by dimensionless coefficients automatically calculated, thus allowing evaluating disassembly sequences complexity. For this purpose, a mixed virtual reality disassembly environment (VRDE) is developed based on Python programming language, utilizing VTK (Visualization Toolkit) and ODE (Open Dynamics Engine) libraries. The framework is based on STEP, WRL and STL exchange formats. The analysis results and findings demonstrate the feasibility of the proposed approach thus providing significant assistance for the evaluation of disassembly sequences during Product Development Process (PDP). Further consequences of the present work consist in ranking the criteria according to their importance. For this purpose, moderation coefficients may be allocated to each of them thus allowing a more comprehensive evaluating method.De nos jours, l'intégration des opérations de désassemblage lors de la conception des produits est un enjeu crucial. On estime que dans la phase initiale de la conception d'un produit, le coût des opérations de désassemblage représente environ 30% de son coût total. Ainsi, la simulation des opérations de désassemblage de produits industriels trouve un fort intérêt pour des simulations interactives grâce à des programmes d'immersion et en temps réel. Dans ce contexte, dans un premier temps, cette thèse présente une méthode de génération des séquences de désassemblage possibles pour le désassemblage sélectif. La méthode est basée sur les niveaux les plus bas du graphe de désassemblage des produits. Au lieu de considérer les contraintes géométriques pour chaque paire de composants, la méthode proposée tient compte des contacts (relations géométriques entre les composants) et des collisions afin de générer le Graphe Géométrique de Contacts et de Désassemblage (DGCG). Celui-ci est ensuite utilisé pour la génération des séquences de désassemblage permettant ainsi de réduite le nombre de séquences possibles en ignorant les composants non liés avec la cible. Une application de simulation a été développée, intégrée dans un environnement de réalité virtuelle (RV) permettant ainsi la génération du nombre minimum de séquences possibles de désassemblage.Dans un second temps, une méthode d'évaluation des opérations de désassemblage par analyse géométrique 3D de l'amovibilité dans un environnement RV est proposée. Elle est basée sur sept nouveaux critères qui sont: la visibilité d'une pièce, les angles de désassemblage, le nombre des changements d'outils, le changement d'orientation des trajectoires, la stabilité des sous-ensembles, les angles de rotation du cou et flexion du corps. Tous ces critères sont présentés par des coefficients sans dimension calculés automatiquement par l'application développée, permettant ainsi d'évaluer la complexité des séquences de désassemblage. A cet effet, un environnement mixte de réalité virtuelle pour le désassemblage (VRDE) est développé, basé sur le langage de programmation Python, en utilisant deux bibliothèques : VTK (Visualisation Toolkit) et ODE (Open Dynamics Engine), les formats d'échange étant fichiers: STEP, WRL et STL. L'analyse des résultats obtenus démontrent la fiabilité de l'approche proposée fournissant ainsi une aide non négligeable pour l'évaluation des séquences de désassemblage lors de processus de développement de produits (PDP). Les autres conséquences de ce travail consistent à classer les critères en fonction de leur importance. A cet effet, des coefficients de modération peuvent être attribués à chacun d'eux permettant ainsi une méthode d'évaluation plus complète

Design for Circular Economy

In recent years climate change has become a big challenge affecting all human beings, living creatures and the entire ecosystem. Hence the importance of mitigating its effect and finding innovative solutions to combat and slow down its accelerating impact on the environment. One of the solutions is to reduce emissions and restore the earth which is the “circular economy” concept. This research is focused on the indicators that can be used to measure the circularity of a product. The analysis compares more than one assessment tool used as indicator then an in-depth research is performed on one of the methodologies proposed by the Ellen MacArthur Foundation which includes a main indicator known as the Material Circularity Indicator (MCI) and two complementary indicators known as risks and impacts complementary indicators. The goal of the proposed study is a new methodology and a new tool to measure the product circularity that takes the complexity of the product into consideration. One way to measure the product complexity is to measure the ease of disassembly and the time and effort required to disassemble a product which can be reflected as the profitability of disassembly. The profitability of disassembly is calculated by finding out the amount of material that can be extracted feasibly from a product or, to put it in another way a decision must be made to recycle or not to recycle in advance, which is usually related to the material’s price as well as the time of disassembly. This is especially the case if there is no incentive to recycle or regulations to encourage recycling, where the profit factor becomes a dominant one in taking the decision to recycle or not. The significance and novelty of this research comes from providing a more accurate measurement for the material circularity indicator proposed by Ellen Mac Arthur Foundation, as well as finding out the feasibility of recycling by looking at the different challenges related to the product’s complexity

Second Life of Lithium-Ion Batteries of Electric Vehicles: A Short Review and Perspectives

Technological advancement in storage systems has currently stimulated their use in miscellaneous applications. The devices have gained prominence due to their increased performance and efficiency, together with the recent global appeal for reducing the environmental impacts caused by generating power or by combustion vehicles. Many technologies have been developed to allow these devices to be reused or recycled. In this sense, the use of lithium-ion batteries, especially in electric vehicles, has been the central investigative theme. However, a drawback of this process is discarding used batteries. This work provides a short review of the techniques used for the second-life batteries of electric vehicles and presents the current positioning of the field, the steps involved in the process of reuse and a discussion on important references. In conclusion, some directions and perspectives of the field are shown

A Scatter Search Approach for Multiobjective Selective Disassembly Sequence Problem

Disassembly sequence has received much attention in recent years. This work proposes a multiobjective optimization of model for selective disassembly sequences and maximizing disassembly profit and minimizing disassembly time. An improved scatter search (ISS) is adapted to solve proposed multiobjective optimization model, which embodies diversification generation of initial solutions, crossover combination operator, the local search strategy to improve the quality of new solutions, and reference set update method. To analyze the effect on the performance of ISS, simulation experiments are conducted on different products. The validity of ISS is verified by comparing the optimization effects of ISS and nondominated sorting genetic algorithm (NSGA-II)

Generic models for the integrated design of domestic and global supply chain networks with remanufacturing

This research focuses on the modeling of strategic supply chain network design. Several comprehensive mixed-integer-programming models are developed for the strategic integrated design of domestic and global supply chain networks with remanufacturing capacity. The models allow simultaneous determination of supplier selection, manufacturing and distribution facility selection and allocation, production quantities, transportation flows, reverse distribution facility selection, and disassembly plant allocation. Additionally, our models incorporate bill of material (BOM) both in the manufacturing process and in disassembly process. Management policies are also considered in the model formulation so that specific management choices, such as multi- sourcing strategy or single sourcing strategy, can be fulfilled in the strategic supply chain network design. Global factors considered in the model include currency exchange rates, transfer prices, allocation of transportation costs, local content requirements, local income taxes, and tariffs. The models are verified by medium-sized numerical examples. Compared to previous literature, the proposed models have two distinctive features. First, the corresponding integrated logistics problem of a global supply chain is formulated with a generalized mathematical form, and thus is not limited to applications for specific industries. Such a methodological measure is rare in previous literature, and has exhibited its potential advantages in addressing complicated global supply chain problems. Second, remanufacturing factors oriented from the enforcement of corresponding governmental regulations for environmental protection are considered in the proposed model. Thus, the corresponding effects may help to determine solution alternatives to improve the performance of a global supply chain with remanufacturing capacit

Development of Feature Recognition Algorithm for Automated Identification of Duplicate Geometries in CAD Models

This research presents a feature recognition algorithm for the automated identification of duplicate geometries in the CAD assembly. The duplicate geometry is one of the seven indicators of the lazy parts mass reduction method. The lazy parts method is a light weight engineering method that is used for analyzing parts with the mass reduction potential. The duplicate geometry is defined as any geometries lying equal to or within the threshold distance with the user-defined orientation between them and have the percentage similarity that is equal to or greater than the threshold value. The feature recognition system developed in this research for the identification of duplicate geometries is also extended to retrieve the weighted bipartite graph of part connections for the assembly time estimation. The weighted bipartite graph is used as input for the part connectivity based assembly time estimation method. The SolidWorks API software development kit is used in this research to develop a feature recognition system in SolidWorks CAD software package using C++ programming language. The feature recognition system built in the SolidWorks CAD software uses a combination of topology and geometric data for the evaluation of duplicate geometry. The measurement of distances between the sampling points strategy is used for the duplicate geometry feature recognition. The feature recognition algorithm has three phases of evaluation: first, is the evaluation for threshold distance condition of parts in the CAD assembly. Second, the part pairs that have satisfied the threshold distance condition are evaluated for the orientation condition. The threshold distance and orientation are the necessary but not the sufficient conditions for duplicate geometries. In the third phase, the geometries that have satisfied orientation condition are evaluated for the percentage similarity condition. The geometries that satisfy the percentage similarity condition are highlighted in order to help designers review the results of the duplicate geometry analysis. The test cases are used to validate the algorithm against the requirements list. The test cases are designed to check the performance of the algorithm for the evaluation of the threshold distance, orientation, and percentage similarity condition. The results indicate that the duplicate geometry algorithm is able to successfully conduct all the three phases of evaluation. The algorithm is independent of the geometric type and is able to analyze planar, cylindrical, conical, spherical, freeform, and toroidal shapes. The number of sampling points generated on the faces of parts for the orientation and percentage similarity evaluation has the significant effect on the analysis time. The worst case complexity of the algorithm is the big O (nC2x m12 x m22x p4), where n = the number of parts in the assembly m1 = the number of faces in the parts that meet the threshold distance condition m2 = the number of faces that meet the orientation condition p = the number of sampling points on the face The duplicate geometry feature recognition approach is used to demonstrate the applicability in the extraction of assembly relations for the part connectivity based assembly time estimation method. The algorithm is also able to extract part connectivity information for the patterns. Further research is required to automate the identification of other laziness indicators in order to make the lazy parts method a completely automated tool. With regards to the complete automation of part connectivity based assembly time estimation method, the duplicate geometry feature recognition system needs integration with the algorithm for the computation of bipartite graph of part connections for the prediction of assembly time