Multi-objective evolutionary design of mold temperature control using DACE for parameter optimization

2007 ◽  
Vol 25 (1-4) ◽  
pp. 661-667 ◽  
Author(s):  
Jörn Mehnen ◽  
Thomas Michelitsch ◽  
Christian Lasarczyk ◽  
Thomas Bartz-Beielstein
Keyword(s):  
Parameter Optimization ◽  
Temperature Control ◽  
Mold Temperature ◽  
Evolutionary Design ◽  
Multi Objective

scholarly journals Multi-objective evolutionary design of granular rule-based classifiers

2015 ◽  
Vol 1 (1) ◽  
pp. 37-58 ◽  
Author(s):  
Michela Antonelli ◽  
Pietro Ducange ◽  
Beatrice Lazzerini ◽  
Francesco Marcelloni
Keyword(s):  
Evolutionary Design ◽  
Rule Based ◽  
Multi Objective

scholarly journals Study on External Gas-Assisted Mold Temperature Control with the Assistance of a Flow Focusing Device in the Injection Molding Process

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 965 ◽  
Author(s):  
Nguyen Truong Giang ◽  
Pham Son Minh ◽  
Tran Anh Son ◽  
Tran Minh The Uyen ◽  
Thanh-Hai Nguyen ◽  
...  
Keyword(s):  
Injection Molding ◽  
Temperature Control ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Melt Flow ◽  
Flow Focusing ◽  
Molding Process ◽  
Heating Efficiency ◽  
Flow Length ◽  
Insert Plate

In the injection molding field, the flow of plastic material is one of the most important issues, especially regarding the ability of melted plastic to fill the thin walls of products. To improve the melt flow length, a high mold temperature was applied with pre-heating of the cavity surface. In this paper, we present our research on the injection molding process with pre-heating by external gas-assisted mold temperature control. After this, we observed an improvement in the melt flow length into thin-walled products due to the high mold temperature during the filling step. In addition, to develop the heating efficiency, a flow focusing device (FFD) was applied and verified. The simulations and experiments were carried out within an air temperature of 400 °C and heating time of 20 s to investigate a flow focusing device to assist with external gas-assisted mold temperature control (Ex-GMTC), with the application of various FFD types for the temperature distribution of the insert plate. The heating process was applied for a simple insert model with dimensions of 50 mm × 50 mm × 2 mm, in order to verify the influence of the FFD geometry on the heating result. After that, Ex-GMTC with the assistance of FFD was carried out for a mold-reading process, and the FFD influence was estimated by the mold heating result and the improvement of the melt flow length using acrylonitrile butadiene styrene (ABS). The results show that the air sprue gap (h) significantly affects the temperature of the insert and an air sprue gap of 3 mm gives the best heating rate, with the highest temperature being 321.2 °C. Likewise, the actual results show that the height of the flow focusing device (V) also influences the temperature of the insert plate and that a 5 mm high FFD gives the best results with a maximum temperature of 332.3 °C. Moreover, the heating efficiency when using FFD is always higher than without FFD. After examining the effect of FFD, its application was considered, in order to improve the melt flow length in injection molding, which increased from 38.6 to 170 mm, while the balance of the melt filling was also clearly improved.

Numerical simulation of mold-temperature-control solidification

2007 ◽  
Vol 17 (3) ◽  
pp. 443-448 ◽  
Author(s):  
Dong-dong YOU ◽  
Ming SHAO ◽  
Yuan-yuan LI ◽  
Zhao-yao ZHOU
Keyword(s):  
Numerical Simulation ◽  
Temperature Control ◽  
Mold Temperature

HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning

2021 ◽  
Author(s):  
Aswin Kannan ◽  
Anamitra Roy Choudhury ◽  
Vaibhav Saxena ◽  
Saurabh Raje ◽  
Parikshit Ram ◽  
...  
Keyword(s):  
Machine Learning ◽  
Parameter Optimization ◽  
Multi Objective

Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process

2021 ◽  
Vol 23 (1) ◽  
pp. 1
Author(s):  
Seyyed Mohammadbagher Tabatabaei ◽  
Seyyed Ali Latifi Rostami ◽  
Yousef Shokoohi ◽  
Amin Kolahdooz ◽  
Esmaeil Damavandi
Keyword(s):  
Parameter Optimization ◽  
Drilling Process ◽  
Machining Performance ◽  
Deep Drilling ◽  
Multi Objective ◽  
Objective Parameter
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