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Multi-Objective Optimization of Injection Molding Process Parameters of Car Lamp Shell Based on Grey Correlation Analysis.

• Authors : Shan, Ruixia¹ (AUTHOR) ; Liu, Anqin^1,2 (AUTHOR); Jia, Sen¹ (AUTHOR)

Subjects: *Multi-objective optimization; *Grey relational analysis; *Injection molding of plastics

• Source: Polymers (20734360). Jun2025, Vol. 17 Issue 11, p1524. 12p.

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From Manual to Automated: Exploring the Evolution of Switchover Methods in Injection Molding Processes—A Review.

• Authors : Bielenberg, Christian^1,2 (AUTHOR) ; Stommel, Markus^2,3 (AUTHOR); Karlinger, Peter^1,3 (AUTHOR)

Subjects: *Adaptive control systems; *Injection molding of plastics; *Surface finishing

• Source: Polymers (20734360). Apr2025, Vol. 17 Issue 8, p1096. 24p.

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Optimization of Filling Time and Volumetric Shrinkage Rate in Simulation of Plastic Product Injection Molding Process Using RSM and NSGA-II.

• Authors : Cong Chi Tran¹; Van Tuu Nguyen¹

• Source: Jordan Journal of Mechanical & Industrial Engineering. Mar2025, Vol. 19 Issue 1, p67-77. 11p.

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Simulating And Validating The Pressure Profile During The Filling And Packing Phases of Injection Molding.

• Authors : Stuart, L.¹; Abu-Ayyad, M.²

Subjects: *COMPUTER-aided engineering; *INJECTION molding of plastics; *PRESSURE sensors

• Source: Journal of Solid Mechanics. Dec2024, Vol. 16 Issue 4, p411-426. 16p.

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Enhancing EDM Productivity for Plastic Injection Mold Manufacturing: An Experimental Optimization Study.

• Authors : Titu, Aurel Mihail¹ (AUTHOR) ; Pop, Alina Bianca² (AUTHOR)

Subjects: *Injection molding of plastics; *Molding of plastics; *Coordinate measuring machines

• Source: Polymers (20734360). Nov2024, Vol. 16 Issue 21, p3019. 17p.

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OTOMOTİV SEKTÖRÜ AYDINLATMA ÜRÜNLERİ PLASTİK ENJEKSİYON KALIPLARINDA KULLANILAN DIN 1.2343.

• Authors : ÇELİK, Mert¹ ; KILAVUZ, lbeyi²

• Source: Engineer & the Machinery Magazine / Mühendis ve Makina. eki-ara2024, Vol. 65 Issue 717, p675-693. 19p.

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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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Bulk, Solid and Melt Density: How To Calculate These Values and Why They Matter: Understanding and calculating solid density and melt density will help molders with everything from material and machine selection to determining piece part costs.

• Authors : Kulkarni, Suhas¹

• Source: Plastics Technology. Feb2025, Vol. 71 Issue 2, p16-19. 4p.

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A seamless CAD/CAM integration approach for venting system generation in injection mold design.

• Authors : Hou, Binkui¹ (AUTHOR); Xue, Shuncong¹ (AUTHOR); Yang, Jiong¹ (AUTHOR)

• Source: International Journal of Advanced Manufacturing Technology. Apr2024, Vol. 131 Issue 9/10, p4903-4913. 11p.

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Industry 4.0 In-Line AI Quality Control of Plastic Injection Molded Parts.

• Authors : Aminabadi, Saeid Saeidi¹ (AUTHOR) ; Tabatabai, Paul² (AUTHOR); Steiner, Alexander² (AUTHOR)

Subjects: *Injection molding; *Injection molding of plastics; *Industry 4.0

• Source: Polymers (20734360). Sep2022, Vol. 14 Issue 17, p3551. 24p.

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