A two-stage approach for optimizing the robust injection molding parameters

Author(s):  
Li Dapeng ◽  
Xu Jia ◽  
Liu Yang ◽  
Wang Fuli
Keyword(s):  
2018 ◽  
Vol 38 (7) ◽  
pp. 675-684 ◽  
Author(s):  
Tobias Kleffel ◽  
Dietmar Drummer

Abstract One method to produce electronic systems with high resilience is the encapsulation of metal inserts, for example, lead frames, using assembly injection molding. Such parts are exposed to different mediums, such as water and oil, which can infiltrate and damage the electronic system, especially in automotive applications. Hence, one challenge is to ensure the tightness. The research covered in this paper focuses on the assembly injection molding of tight electronic systems using microstructured metal inserts, manufactured by a two-stage electrochemical treatment. The effects of the electrochemical treatment on the tightness and the bond between metal and polymer of the electronic system are investigated. Furthermore, the influence of the electrochemical treatment on the surface and geometry of the metal insert is evaluated.


2016 ◽  
Vol 5 (3-4) ◽  
pp. 183-191 ◽  
Author(s):  
Ali Reza Sadeghi-Avalshahr ◽  
Mohammad Khorsand-Ghayeni ◽  
Samira Nokhasteh ◽  
Amir Mahdi Molavi ◽  
Mohammad Sadeghi-Avalshahr

2018 ◽  
Vol 40 (5) ◽  
pp. 1731-1739
Author(s):  
Jochen Wellekötter ◽  
Bonten Christian

2012 ◽  
Vol 468-471 ◽  
pp. 386-390 ◽  
Author(s):  
Wen Chin Chen ◽  
G.L. Fu ◽  
Denni Kurniawan

This study proposes a two-stage optimization system to generate the optimal process parameter settings of multi-quality characteristics in the plastic injection molding (PIM) products. In the first stage, Taguchi orthogonal array was employ to arrange the experimental work and to calculate the S/N ratio to determine the initial process parameter settings. Then, S/N ratio predictor and S/N quality predictor was constructed by employed the back-propagation neural network (BPNN). In addition, S/N ratio predictor was along with simulated annealing (SA) used to search for the first optimal parameter combination in order to reduce the PIM process variance. In the second stage, BPNN quality predictor and particle swarm optimization (PSO) was intended to find the optimal parameter settings for the best quality specification. Results from the experimental work show that the proposed two-stage optimization system can create the best process parameter settings which not only meet the quality specification, but also effectively reduce cost.


2019 ◽  
Vol 6 (8) ◽  
pp. 0865e3 ◽  
Author(s):  
Muhammad Ali ◽  
Faiz Ahmad ◽  
Puteri Sri Melor ◽  
Noorhana Yahya ◽  
Khurram Altaf ◽  
...  

2014 ◽  
Vol 40 (2) ◽  
pp. 2819-2824 ◽  
Author(s):  
Sarizal Md Ani ◽  
Andanastuti Muchtar ◽  
Norhamidi Muhamad ◽  
Jaharah A. Ghani

2021 ◽  
Vol 111 (06) ◽  
pp. 435-439
Author(s):  
Hans-Peter Heim ◽  
Guntis Japins ◽  
Michael Hartung

In diesem Beitrag wird die Entwicklung des Direktcompoundierens (Direktspritzguss und Direktextrusion) als Alternative zum konventionellen zweistufigen Prozess, der aus dem Compoundieren und anschließender Verarbeitung in der Kunststofftechnik besteht, vorgestellt. Bei der Direktcompoundierung werden Mischen, Schmelzen und Formen zu fertigen Produkten kombiniert. Ein Vorteil hierbei ist die Möglichkeit von Produktindividualisierungen durch die direkte Einflussnahme und Anpassung der Materialrezeptur.   The content of this article is the development of direct compounding (direct injection molding and direct extrusion) as an alternative to the conventional two-stage process, which consists of compounding and subsequent processing in the polymer technology. Direct compounding comprises material mixing, melting and direct molding to form finished products in one step. One advantage here is the possibility of product customization through direct influence and adaptation of the material recipe.


Author(s):  
Sengshiu Chung ◽  
Peggy Cebe

We are studying the crystallization and annealing behavior of high performance polymers, like poly(p-pheny1ene sulfide) PPS, and poly-(etheretherketone), PEEK. Our purpose is to determine whether PPS, which is similar in many ways to PEEK, undergoes reorganization during annealing. In an effort to address the issue of reorganization, we are studying solution grown single crystals of PPS as model materials.Observation of solution grown PPS crystals has been reported. Even from dilute solution, embrionic spherulites and aggregates were formed. We observe that these morphologies result when solutions containing uncrystallized polymer are cooled. To obtain samples of uniform single crystals, we have used two-stage self seeding and solution replacement techniques.


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