Sequential Parameter Optimization of an Evolution Strategy for the design of Mold Temperature Control Systems

2010 ◽  
Author(s):  
Dirk Biermann ◽  
Raffael Joliet ◽  
Thomas Michelitsch ◽  
Tobias Wagner
Keyword(s):  
Control Systems ◽  
Parameter Optimization ◽  
Temperature Control ◽  
Mold Temperature ◽  
Evolution Strategy

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 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

scholarly journals Radio frequency mixing modules for superconducting qubit room temperature control systems

2021 ◽  
Vol 92 (7) ◽  
pp. 075108
Author(s):  
Yilun Xu ◽  
Gang Huang ◽  
David I. Santiago ◽  
Irfan Siddiqi
Keyword(s):  
Radio Frequency ◽  
Control Systems ◽  
Temperature Control ◽  
Room Temperature ◽  
Superconducting Qubit ◽  
Frequency Mixing

Automated System for Maintaining the Temperature, Taking into Account the Predicted Changes in External Conditions

2021 ◽  
Vol 1 (42) ◽  
pp. 73-79
Author(s):  
Nikolay Filippenko ◽  
◽  
Aleksandr Livshits ◽  
Emil’ Farzaliyev ◽  
Vladimir Bychkovskiy
Keyword(s):  
Control System ◽  
Control Systems ◽  
Temperature Control ◽  
Temperature Regime ◽  
Weather Forecast ◽  
Automated System ◽  
Research Purpose ◽  
Experimental Sample ◽  
Practical Result ◽  
External Conditions

An analysis of the available automated indoor temperature control systems shows that all of them have a significant shortage. The systems do not provide for predictive temperature control in an automated form. Such changes are determined and made, depending on the qualification, by the operator based on personal experience and the reports received by him on the weather channels. Possible errors lead to loss of productivity or disruption of technological modes of production. (Research purpose) The research purpose is in developing a system of automated predictive control of the temperature regime of industrial premises to improve energy efficiency and the quality of maintaining the necessary climatic conditions. (Materials and methods) Increasing the efficiency of greenhouses can be achieved through the introduction of an automated and more economical temperature control system. The proposed device additionally includes a weather forecast receiving unit, made on the basis of microprocessor technology, for reliable signal reception. The air that circulates inside the greenhouse through heat exchange circuits was used as a heat carrier. (Results and discussion) An additional heat (cold) reserve is created in the greenhouse, which allows to maintain the set temperature in the room, taking into account the weather forecast. The results presented in patents No. 2710010, 2667684 and the implemented control system based on certificates of state registration of programs for electronic computers No. 2015618030, 20146115490, and 2014617605 exceed the results obtained by the authors of the proposed developments based on patents No. 2586923 and No. 80308. (Conclusions) The use of new technical solutions and technologies for providing the basis for the development of a new principle for the construction of automated control systems for the temperature regime of industrial premises, taking into account the predicted changes in external conditions. The practical result of the conducted research is: a concept, a control algorithm, a manufactured and tested experimental sample of a device for controlling the temperature regime in a greenhouse.

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization

2002 ◽  
Vol 10 (4) ◽  
pp. 371-395 ◽  
Author(s):  
Kalyanmoy Deb ◽  
Ashish Anand ◽  
Dhiraj Joshi
Keyword(s):  
Parameter Optimization ◽  
Optimization Problems ◽  
Research Effort ◽  
Probability Distributions ◽  
Scale Up ◽  
Extensive Study ◽  
Evolution Strategy ◽  
Real Parameter ◽  
Test Problems ◽  
Main Research

Due to increasing interest in solving real-world optimization problems using evolutionary algorithms (EAs), researchers have recently developed a number of real-parameter genetic algorithms (GAs). In these studies, the main research effort is spent on developing an efficient recombination operator. Such recombination operators use probability distributions around the parent solutions to create an offspring. Some operators emphasize solutions at the center of mass of parents and some around the parents. In this paper, we propose a generic parent-centric recombination operator (PCX) and a steady-state, elite-preserving, scalable, and computationally fast population-alteration model (we call the G3 model). The performance of the G3 model with the PCX operator is investigated on three commonly used test problems and is compared with a number of evolutionary and classical optimization algorithms including other real-parameter GAs with the unimodal normal distribution crossover (UNDX) and the simplex crossover (SPX) operators, the correlated self-adaptive evolution strategy, the covariance matrix adaptation evolution strategy (CMA-ES), the differential evolution technique, and the quasi-Newton method. The proposed approach is found to consistently and reliably perform better than all other methods used in the study. A scale-up study with problem sizes up to 500 variables shows a polynomial computational complexity of the proposed approach. This extensive study clearly demonstrates the power of the proposed technique in tackling real-parameter optimization problems.

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