Authors: Marco Rossi, Giulia Tanoni, Matteo Anedda, Maria Caterina Fioretti, Emanuele Principi
Abstract: In the framework of sustainable manufacturing and circular economy, the reuse of metallic components at the end of their first life (EoL) is a promising strategy to reduce energy consumption and material waste, but it requires an accurate assessment of residual plastic deformation, which strongly affects structural integrity and remaining formability. Conventional full-field techniques such as Digital Image Correlation (DIC) require a reference image of the undeformed state, which is generally unavailable for EoL components. To address this limitation, this work investigates a deep learning–based, reference-free approach for strain estimation directly from a single image of the deformed surface. The method relies on a convolutional neural network architecture derived from VGG-16, trained to regress the in-plane principal strains and their orientation from local image subsets of the surface texture using a synthetically generated dataset based on real material textures and realistic imaging conditions. The trained model is applied to high-resolution optical images of pre-deformed steel and aluminum components from regions subjected to different deformation histories, with partial validation provided by finite element simulations and conventional DIC measurements. Preliminary results show that the proposed approach can distinguish regions with different levels of plastic deformation and provide strain maps consistent with independent mechanical assessments, demonstrating its potential as a rapid, non-destructive tool for deformation mapping and classification of EoL components to support remanufacturing and reuse decisions.
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Authors: Jannis Korn, Clemens Acksteiner, Sebastian Langula, Christina Guilleaume, Alexander Brosius
Abstract: Sheet metal components with complex geometries are typically recycled by remelting. Direct remanufacturing necessitates the flattening of parts, which requires the implementation of cuts to facilitate unwinding. The exact positioning of these cuts is a complex planning task, because several influencing factors can be considered, such as material usage, ease of flattening, or minimal forming required. This study presents a geometry-based concept addressing this challenge and demonstrates its use for a test geometry. The finite element method is applied to simulate the flattening process of the resulting sections, and the results are evaluated in terms of planarity and induced plastic strain. The findings of the present work indicate a discernible dependency of results on the selection of the flattening directions. In particular, curved areas impact the induced plastic deformation and springback of flattened sections. This is a crucial consideration when planarity is prioritised over material utilisation.
99
Authors: Jorge I. Fajardo, Edwuin J. Carrasquero Rodríguez, Carlos A. Andrade, César A. Paltan
Abstract: This paper integrates reverse engineering and circular economy concepts in the remanufacturing of shoe plain bearings for a tubular ball mill used in the mining industry. The developed procedure covers a range of steps including diverse bearing cleaning methods, the definition of various inspection techniques, and the selection of the ideal sacrificial material through spectrometry tests and bibliographic references. It also encompasses the determination of deformation and stress on the shoe plain bearings during normal operation, followed by the remanufacturing process, which involves adding sacrificial material to the substrate and machining it using a CNC machine. Quality control testing of the remanufactured bearings was conducted according to international standards. A comparative financial cost-benefit analysis was also performed between new and remanufactured shoe plain bearings. The results of this analysis provide the company with a solid foundation for decision-making in both the economic and logistical aspects of shoe plain bearings, thereby promoting a more sustainable and efficient management of industrial assets.
151
Authors: Essam Shehab, Temirlan Kazhymurat, Nursultan Jyeniskhan, Akniyet Amantayeva, Arshyn Meiirbekov, Sumit Singh, Serik Tokbolat
Abstract: A digital twin is among the fast-growing technologies capable of increasing the dynamic development of manufacturing industry in terms of digital transformation in the context of Industry 4.0. The development of digital twin technologies for carbon fiber composites (CFC) recycling is a novel direction that significantly improves the recycling process efficiency. Among various benefits, it provides high-quality process monitoring and automated control. However, digital twins development of CFC recycling face challenges that need to be identified. This study aimed to investigate the challenges of implementing digital twin in the carbon fiber composites recycling process. Three main challenges were identified by adopting the narrative literature review approach. Understanding these challenges contributes to the digitalization of the industry and provides recommendations for further investigation of this area of research. It should be noted that optimization and validation of technical aspects will allow the creation of a solid process data management system and control crucial process variables.
61
Authors: Young Woo Choi, Do Hyun Jung
Abstract: Remanufacturing of disposable parts has the advantage in cost and environment aspects. Remanufacturing technology requires the three technologies of part cleansing technology, disassembly technology, and part restoration technology. Also, recycling and disposal must be determined through failure mode analysis. In this paper, the failure causes of magnet valve and spill valve of injector were analyzed, and the proper restoration method on main causes were researched. As a result, magnet valve was appropriate through polishing, tap manufacturing and DLC coating of spill valve was evaluated to be most appropriate.
258
Authors: T. Sathish, J. Jayaprakash, N. Thinakaran
Abstract: Recently, Multi-agent system has been considered as an important approach for solving real world industrial problems. JADE based Multi agent system offers wide range of applications in supply chain management. In Particular, sharing and retrieval of information within the agent and between agents in disassembly sequencing and planning in reverse logistic system. This paper proposed a simulation study of implementing Multi-agent system for sequencing and process planning in disassembly problem with various electronics industrial products.
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Authors: Dinu Darabă, Vasile Nasui, Nicolae UNGUREANU
Abstract: By the developed applicative research we look for setting up a procedure for dynamically diagnosing the technological equipment proposed for remanufacturing. Actually, this paper presents some of the results of the research carried out for the establishment an analysis method of the non-functioning technological equipment structure, using the Finite Element Analysis, for stating the own vibration modes, thus based on the structure own frequencies to be stated the maximum critical rotation up to the new equipment would function in the imposed quality and safety conditions. With the proposed procedure we could exactly state the structure own frequencies that yet appear within the working frequencies band of the analyzed technological equipment, and thus we could find the revolutions at which the mechanic system could enter into resonance.
1010
Authors: Luminita Popa, Vasile Popa
Abstract: The article addresses the issue of using innovative high performance technology, integrated into a unitary concept for (re)manufacturing of various types of industrial products, respecting the concepts of circular economy. This article is focus on methods and applications of remanufacturing concepts at company and inter-company level, applied in the lifecycle management of industrial products, used as resources in circular economy.
1396
Authors: Wang Xing, Jia Xiu Jie, Yao Shuai Shuai
Abstract: Remanufactured parts need to be cleaned before testing and repairing.Molten salt cleaning become a new research focus in remanufacturing cleaning. This paper analyze and research the dirt removal mechanism. This paper analyzes the effect of different salt bath cleaning time and temperature, from the action of heat, comprising a plurality of aspects of surface tension, expansion coefficient and chemical analysis of the role removal mechanism. cleaning effect is researched controlling different conditions in experiments according to the removal mechanism. Experimental results show that the cleaning effect is more obvious, cleaning a relatively short time, ready to meet the requirements of remanufacturing blanks.
187
Authors: Zhi Yong Zuo, Li Jiang, Yi Qing Zhan, Li Yang
Abstract: The imported Electro-Discharge Texturing machine has widely used in domestic steel plants, this paper introduces the working principle and structure of SM Electro-Discharge Texturing generator produced by KLEINKNECHT Company. The remanufacturing of Electro-Discharge Texturing machine has considerable economic value, and we discuss the repair feasibility and detection principle through specific examples.
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