Portail des publications scientifiques IMT Mines Alès
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Eco-Friendly Chitosan-Based Composites from Olive Waste, Miscanthus, Spent Mushroom Substrate, and Recycled Textile: Meeting Standards for Sustainable Wood Alternatives
No full textInternational audienceThe reuse of olive waste (olive pomace, olive stones and oil free pomace), which is theprimary residue from the olive oil industry, is important for the environment and economy.This research aimed to propose olive waste as a potential reinforcement to substitute wood inthe conception of eco-friendly chitosan-based composites in addition with other residues andwastes such as miscanthus, spent mushroom substrate and recycled textile waste. Compositepanels were produced with densities ranging from 685 to 907 kg/m3 through thermocompression.The study details the production methodology and assesses the panel’s thermalperformance, water absorption, and mechanical strength. The aim is to assess the viabilityof these alternative materials in producing composites that could serve as environmentallyfriendly substitutes for traditional wood-based products. Oil-free pomace is a promising andeffective alternative to wood, suitable for dry environments. Composite panels composedof miscanthus or spent mushroom substrate combined to oil-free pomace met the EN 312standards for general-purpose products in dry conditions, highlighting their potential for usein sustainable application
Integrating Modeling and Simulation for Next generation of Digital Twins: Virtual models enhancing industrial decision-making processes
No full textInternational audienc
Object Recognition and Two-Dimensional Bin Packing: Bridging Theory and Practice
No full textInternational audienceThis study's objective is to interface image processing and operations research algorithms in the context of placing two-dimensional rectangles within a strip. The goal is to robotize/automate a bin packing task and to verify whether potential inaccuracies in contour detection are compatible with the rectangle placement algorithm
Recyclage des BPHU : Gestion des déchets composites historiques et fin de vie de composites éco-conçus
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Exploring learning transferability in deep segmentation of colorectal cancer liver metastases
No full textInternational audienceEnsuring the seamless transfer of of knowledge and models across various datasets and clinical contexts is of paramount importance in medical image segmentation. This is especially true for liver lesion segmentation which plays a key role in pre-operative planning and treatment follow-up. Despite the progress of deep learning algorithms using Transformers, automatically segmenting small hepatic metastases remains a persistent challenge. This can be attributed to the degradation of small structures due to the intrinsic process of feature down-sampling inherent to many deep architectures, coupled with the imbalance between foreground metastases voxels and background. While similar challenges have been observed for liver tumors originated from hepatocellular carcinoma, their manifestation in the context of liver metastasis delineation remains under explored and require well-defined guidelines. Through comprehensive experiments, this paper aims to bridge this gap and to demonstrate the impact of various transfer learning schemes from off-the-shelf datasets to a dataset containing liver metastases only. Our scale-specific evaluation reveals that models trained from scratch or with domain-specific pre-training demonstrate greater proficiency
Influence of fiber/matrix interface on gas permeability properties of CF/TP composites
No full textInternational audienceFor hydrogen application, one of the most important material property required is low gas permeability. In composite materials, this property depends on the materials but also on the processing parameters. In particular the residual porosity, but also the quality of the fiber/matrix interface, play a crucial role. This is particularly the case in composites involving a thermoplastic matrix with carbon fibers as the lack of reactive groups on the fiber surface can limit the level of interfacial interactions between the reinforcement and the matrix. In this study, the role of the interface is analyzed through the investigation of the hydrogen permeability of carbon fiber reinforced thermoplastics (CF/PVDF and CF/PPS) using different polymers and carbon fibers. The hydrogen permeability of the composites was measured, and a correlation with the crystallization behavior of the matrix on the fiber surface was identified. Hydrogen permeability decreases when the fiber favors matrix nucleation. Nucleation is improved by increasing the surface roughness of the carbon fiber
Evolution of BPMN and Simulation Integration: Trends, Challenges, and Future Directions
No full textInternational audienceThis study examines the use of simulation tools to overcome limitations in Business Process Model and Notation (BPMN), a widely used language for modeling business processes across various industries. Conducting a structured bibliometric analysis with Scopus as the primary database, the study reviewed 75 articles meeting specific inclusion criteria, highlighting key trends in BPMN simulation research. Using keyword and thematic analysis through VOS viewer, four primary research clusters were identified, illustrating BPMN’s applications in field s such as healthcare, logistics, and cybersecurity. An analysis of pivotal articles demonstrates how BPMN simulations have improved resource management, performance optimization, and decision-making support. This paper shows current research directions, challenges, and the potential for BPMN extensions to increase modeling accuracy, suggesting avenues for future research within BPMN-supported simulation frameworks
Enhancing Liver Radioembolization Precision: Advances in Multimodal Image Registration Based on 3D Slicer and Ellipsoid Modeling
No full textInternational audienceLiver radioembolization is a minimally invasive treatment for liver malignancies, requiring precise imaging to ensure accurate delivery of therapeutic agents. This paper addresses the key challenges in image registration for liver radioembolization, highlighting recent advancements with a focus on the integration of 3D Slicer software and the ellipsoid method. The oriented bounding boxes (OBBs) technique streamlines the representation of complex liver segments, which represent the object's contours. It simplifies them into simple oriented geometric shapes, making them easier to align. These shapes are then mathematically approximated as ellipsoids (a stretched sphere), enabling precise computations such as alignments, which form a central focus of this paper. This study evaluates the impact of using the OBBs as references for multi-modal medical imaging. Validation is performed with a liver phantom imaged via SPECT-CT (single-photon emission computed tomography) and PET-CT (positron emission tomography), confirming the accuracy and reliability of the proposed approach. Additionally, promising visual results on a patient's liver are also presented
