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Refinado por: Base de dados/Biblioteca: Materials Research Database remover Nome da Publicação: Polymers remover
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1
A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System
A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System
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A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

Huang, Chao-Tsai ; Lin, Tsai-Wen ; Jong, Wen-Ren ; Chen, Shia-Chung

Polymers, 2021-09, Vol.13 (18), p.3065 [Periódico revisado por pares]

Basel: MDPI AG

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2
An Enhanced Temperature Control Approach to Simulate Profile Extrusion
An Enhanced Temperature Control Approach to Simulate Profile Extrusion
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An Enhanced Temperature Control Approach to Simulate Profile Extrusion

Vidal, João ; Nóbrega, João Miguel

Polymers, 2024-04, Vol.16 (7), p.904 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
Improving Cooling Performance of Injection Molding Tool with Conformal Cooling Channel by Adding Hybrid Fillers
Improving Cooling Performance of Injection Molding Tool with Conformal Cooling Channel by Adding Hybrid Fillers
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Improving Cooling Performance of Injection Molding Tool with Conformal Cooling Channel by Adding Hybrid Fillers

Kuo, Chil-Chyuan ; Chen, Wei-Hua

Polymers, 2021-04, Vol.13 (8), p.1224 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Characterization of Epoxy-Based Rapid Mold with Profiled Conformal Cooling Channel
Characterization of Epoxy-Based Rapid Mold with Profiled Conformal Cooling Channel
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Characterization of Epoxy-Based Rapid Mold with Profiled Conformal Cooling Channel

Kuo, Chil-Chyuan ; Zhu, Yi-Jun

Polymers, 2022-07, Vol.14 (15), p.3017 [Periódico revisado por pares]

Basel: MDPI AG

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5
A Study on the Architecture of Artificial Neural Network Considering Injection-Molding Process Steps
A Study on the Architecture of Artificial Neural Network Considering Injection-Molding Process Steps
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A Study on the Architecture of Artificial Neural Network Considering Injection-Molding Process Steps

Lee, Junhan ; Kim, Jongsun ; Kim, Jongsu

Polymers, 2023-11, Vol.15 (23), p.4578 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Integrating Taguchi Method and Gray Relational Analysis for Auto Locks by Using Multiobjective Design in Computer-Aided Engineering
Integrating Taguchi Method and Gray Relational Analysis for Auto Locks by Using Multiobjective Design in Computer-Aided Engineering
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Integrating Taguchi Method and Gray Relational Analysis for Auto Locks by Using Multiobjective Design in Computer-Aided Engineering

Huang, Wei-Tai ; Tasi, Zi-Yun ; Ho, Wen-Hsien ; Chou, Jyh-Horng

Polymers, 2022-02, Vol.14 (3), p.644 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Melt Temperature Estimation by Machine Learning Model Based on Energy Flow in Injection Molding
Melt Temperature Estimation by Machine Learning Model Based on Energy Flow in Injection Molding
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Melt Temperature Estimation by Machine Learning Model Based on Energy Flow in Injection Molding

Jeon, Joohyeong ; Rhee, Byungohk ; Gim, Jinsu

Polymers, 2022-12, Vol.14 (24), p.5548 [Periódico revisado por pares]

Switzerland: MDPI AG

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8
An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears
An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears
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An Effective Shrinkage Control Method for Tooth Profile Accuracy Improvement of Micro-Injection-Molded Small-Module Plastic Gears

Wu, Wangqing ; He, Xiansong ; Li, Binbin ; Shan, Zhiying

Polymers, 2022-07, Vol.14 (15), p.3114 [Periódico revisado por pares]

Basel: MDPI AG

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9
Dimensional Methods Used in the Additive Manufacturing Process
Dimensional Methods Used in the Additive Manufacturing Process
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Dimensional Methods Used in the Additive Manufacturing Process

Száva, Ioan ; Vlase, Sorin ; Scutaru, Maria Luminița ; Asztalos, Zsolt ; Gálfi, Botond-Pál ; Șoica, Adrian ; Șoica, Simona

Polymers, 2023-09, Vol.15 (18), p.3694 [Periódico revisado por pares]

Basel: MDPI AG

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10
Effects of Input Parameter Range on the Accuracy of Artificial Neural Network Prediction for the Injection Molding Process
Effects of Input Parameter Range on the Accuracy of Artificial Neural Network Prediction for the Injection Molding Process
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Effects of Input Parameter Range on the Accuracy of Artificial Neural Network Prediction for the Injection Molding Process

Lee, Junhan ; Yang, Dongcheol ; Yoon, Kyunghwan ; Kim, Jongsun

Polymers, 2022-04, Vol.14 (9), p.1724 [Periódico revisado por pares]

Switzerland: MDPI AG

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