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Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model.

• Authors : Huang, Jianfeng¹ (AUTHOR) ; Li, Yi¹ (AUTHOR); Li, Xinyuan¹ (AUTHOR)

Subjects: *ENERGY consumption forecasting; *CONVOLUTIONAL neural networks; *STANDARD deviations

• Source: Polymers (20734360). Nov2024, Vol. 16 Issue 21, p3097. 19p.

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A learning-based model predictive control scheme for injection speed tracking in injection molding process

• Authors : Zhigang Ren; Jianpu Cai; Bo Zhang

Subjects: Injection molding process; Learning-based model predictive control; Optimal control

• Source: Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7845-7861 (2024)

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参杞强精颗粒成型工艺优化与稳定性研究.

• Authors : 甘典辉¹; 刘金花¹; 马家宝¹

• Source: Journal of Modern Medicine & Health. 5/15/2024, Vol. 40 Issue 9, p1450-1455. 6p.

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Research progress in numerical simulation of fiber reinforced thermosetting resin matrix composites molding process

• Authors : ZHAO Huakun; YU Tao; CHENG Zefei

Subjects: fiber reinforced composites; numerical simulation; thermosetting resin

• Source: Cailiao gongcheng, Vol 52, Iss 5, Pp 46-56 (2024)

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Impact of Runner Size, Gate Size, Polymer Viscosity, and Molding Process on Filling Imbalance in Geometrically Balanced Multi-Cavity Injection Molding.

• Authors : Chien, Minyuan¹ (AUTHOR) ; Lin, Yaotsung² (AUTHOR) ; Huang, Chaotsai³ (AUTHOR)

Subjects: *MASS production; *GLASS fibers; *TENSILE strength

• Source: Polymers (20734360). Oct2024, Vol. 16 Issue 20, p2874. 15p.

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Effect of rPET Content and Preform Heating/Cooling Conditions in the Stretch Blow Molding Process on Microcavitation and Solid-State Post-Condensation of vPET-rPET Blend: Part I—Research Methodology and Results.

• Authors : Wawrzyniak, Paweł¹ (AUTHOR) ; Karaszewski, Waldemar² (AUTHOR) ; Różański, Artur³ (AUTHOR)

• Source: Materials (1996-1944). Nov2024, Vol. 17 Issue 21, p5233. 24p.

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Dimensional Analysis Theory and Molecular Dynamics Simulation of Polypropylene Melt Flow during Injection Molding Process

• Authors : Zhang, Jinrong; Yan, Dadong; Peng, Li

Subjects: Condensed Matter - Soft Condensed Matter; Physics - Chemical Physics

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Multi-Objectives Optimization of Plastic Injection Molding Process Parameters Based on Numerical DNN-GA-MCS Strategy.

• Authors : Guo, Feng¹ (AUTHOR) ; Han, Dosuck¹ (AUTHOR); Kim, Naksoo¹ (AUTHOR)

Subjects: *CARBON fiber-reinforced plastics; *ARTIFICIAL neural networks; *INJECTION molding of plastics

• Source: Polymers (20734360). Aug2024, Vol. 16 Issue 16, p2247. 26p.

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Hybrid Approach Integrating Deep Learning-Autoencoder With Statistical Process Control Chart for Anomaly Detection: Case Study in Injection Molding Process

• Authors : Faouzi Tayalati; Ikhlass Boukrouh; Loubna Bouhsaien

Subjects: Injection molding process; melt cushion parameter; anomaly detection

• Source: IEEE Access, Vol 12, Pp 95576-95598 (2024)

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Molding Process Retaining Gold Nanoparticle Assembly Structures during Transfer to a Polycarbonate Surface.

• Authors : Zimmermann, Philipp¹ (AUTHOR) ; Schletz, Daniel² (AUTHOR) ; Hoffmann, Marisa² (AUTHOR)

Subjects: *GOLD nanoparticles; *POLYCARBONATES; *SERS spectroscopy

• Source: Polymers (20734360). Jun2024, Vol. 16 Issue 11, p1553. 14p.

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