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    Processes

    Processes

    JournalISSN 2227-9717eISSN 2227-9717中科院 工程技术 4区

    年发文量

    研究主题

    论文(22133)

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    1A Large Language Model-Based Manufacturing Execution System for Heat Treatment and Its Evaluation Method
    Yixiao Sun, Wenyu Zhang, Chao Liu,Xiaohu Deng, Dongying Ju

    Quality investigations in heat treatment require inspection results to be linked with processing histories, while conventional manufacturing execution systems distribute these records across separate modules. This study develops a read-only language-model interface with product and basket-time linkage and evaluates query execution separately from evidence correctness. A same-model comparison using GPT–OSS 20B covers 48 tasks and 288 attempted executions, with 273 complete responses. Frozen condition-screen counts were similar; asymmetrically reviewed scope corrections are not used as comparative evidence. Independent backend checks identified alarm-count inconsistencies before evidence reached the model. A retrospective, non-blinded review of 41 numerical fallbacks, assisted by artificial intelligence (AI), found six pre-fallback answers supported relative to the saved evidence, 34 containing unsupported or incorrect claims, and one indeterminate. These assessments do not independently validate the enterprise records. Three quality cases illustrate linkage to stage-specific furnace evidence, but incomplete basket coverage leaves the relationship between temperature deviations and hardness nonconformity undetermined. The study separates returned states, answer support, and independently verified facts when evaluating language-model access to manufacturing records.

    2026
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    2Advancements in Low-Dimensional Materials: Focus on Detailed Methodologies
    Sake Wang,Nguyen Tuan Hung,Minglei Sun

    Low-dimensional materials and functional material systems have become increasingly important across environmental remediation, sustainable materials development, energy conversion, biomedical technologies, catalysis, protective coatings, and nanoelectronics [...]

    2026
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    3Design and Characterization of Cu(II), Ni(II), and Co(II) Complexes with 5-Carboxy-2-thiouracil: Spectroscopic, Antimicrobial and Cytotoxic Studies
    Miroslava Strandzheva,Petya Marinova,Dimitar Stoitsov,Alina Stefanache,Nikola Burdzhiev,Denica Blazheva,Aleksandar Slavchev,Evelina Varbanova,Ionut-Iulian Lungu,Yana Feodorova, Maria Kazakova

    In this paper, we describe and verify the structures and biological activity of novel metal complexes derived from 5-carboxy-2-thiouracil. We outline a synthesis method and assess the antimicrobial activity of newly formed Cu(II), Ni(II) and Co(II) complexes. Several syntheses were carried out with and without NaOH. The structures were verified using melting point analysis, MP-AES for Cu, Ni and Co and ICP-OES for sulfur, UV-Vis, ATR, solid-state and solution 1H NMR, 13C NMR spectroscopy. In addition, the antimicrobial activity of these complexes and the free ligand were assessed against both Gram-positive and Gram-negative bacteria, as well as yeasts. The HCT-116 colorectal cell line (ATCC) was used for a cytotoxic assay. Only two Ni(II) complexes showed reduction in the number of viable tumor cells. None of the other compounds led to a significant reduction in the number of viable cells, as determined by one-way ANOVA statistical analysis.

    2026
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    4RETRACTED: Alqaed Et Al. Machine Learning-Based Approach for Modeling the Nanofluid Flow in a Solar Thermal Panel in the Presence of Phase Change Materials. Processes 2022, 10, 2291
    Saeed Alqaed,Jawed Mustafa,Fahad Awjah Almehmadi,Mathkar A. Alharthi,Mohsen Sharifpur,Goshtasp Cheraghian

    The journal retracts the article titled “Machine Learning-Based Approach for Modeling the Nanofluid Flow in a Solar Thermal Panel in the Presence of Phase Change Materials” [...]

    2026
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    5Fracture Propagation Simulation and Comprehensive Fracability Evaluation of the Thin Interbedded Tight Sandstone Reservoir: A Case Study of Chunliang Oilfield
    Gaowen Liu, Zongyuan Han, Qinxi Zhang, Xiaofeng Meng, Zhengya Guo, Xiayun Li,Qihong Feng

    Thin interbedded tight sandstone reservoirs in the Chunliang Oilfield are characterized by strong vertical heterogeneity, pronounced interlayer in situ stress interference, and limited vertical hydraulic fracture propagation, which together make the stimulated reservoir volume (SRV) difficult to predict. To address these challenges, this study integrates core triaxial compression tests, true triaxial hydraulic fracturing experiments, and finite-element numerical simulations. The controlling mechanisms of the horizontal stress difference, the elastic modulus contrast between reservoir and barrier layers, interlayer cementation strength, and fracturing fluid viscosity on fracture propagation are systematically investigated. The results show that when the horizontal stress difference is less than 5 MPa and the elastic modulus contrast between reservoir and barrier layers is less than 10 GPa, hydraulic fractures more readily penetrate the interlayer interface and form complex fracture networks. With increasing stress difference or elastic modulus contrast, fractures tend to propagate as single planar fractures or become constrained by barrier-layer shielding. Strong interlayer cementation suppresses fracture extension and reduces the stimulated area, whereas high fracturing fluid viscosity causes the fracture geometry to transform from a long and narrow pattern to a short and wide pattern. On this basis, a comprehensive fracability evaluation model is established by integrating the brittleness of both reservoir and barrier layers and the stress difference within and between layers. Field applications to 12 representative wells in the Chunliang Oilfield show that the comprehensive fracability index is positively correlated with the stimulated reservoir volume. The proposed model can effectively quantify interlayer stress shielding and provides a basis for fracturing layer selection and parameter optimization in the thin interbedded tight sandstone reservoir.

    2026
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    高被引作者

    作者引用发文
    İlhami Gülçin14375
    Saleh Alwasel13353
    Jochen Strube107857
    Lim Jun Wei107634
    Pau-Loke Show74434
    Thomas Turek6601
    Joern Brauns6601
    Bach Long Giang63616
    George Z. Kyzas61919
    Rohit Ramachandran58612

    高产作者

    作者引用发文
    Jochen Strube107857
    Lim Jun Wei107634
    Pau-Loke Show74434
    Axel Schmidt54030
    Guoqing Han7628
    Dariusz Dziki35326
    Won Byong Yoon45722
    Yu-Cai He10122
    Wei Sun27822
    Dani Dordevic18622

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