Optimal design of heating system in rapid thermal cycling blow mold by a two-step method based on sequential quadratic programming

Xiao, Chenglong; Huang, Han‐Xiong

doi:10.1016/j.icheatmasstransfer.2018.06.006

Cited by 27 publications

(17 citation statements)

References 20 publications

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“…Hence, ASM is suitable to regulate the parameters. ASM has been implemented in many recent submissions, such as trade and industry load dispatch models [49], short-term hydrothermal supervision [50], bipedal walking robot dynamics [51], economic multiproduct manufacture [52], LNG process [53], model of heating in the thermal blow frame cycling [54], aircraft transportation [55], wind turbine support structures [56] and quadratic convex bilevel programming models [57]. In this study, the combination of GAASM is implemented to solve the second kind of LE-NSM, and the optimization process of GAASM is provided in Table 1.…”

Section: Network Optimizationmentioning

confidence: 99%

Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

et al. 2021

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In this work, a new heuristic computing design is presented with an artificial intelligence approach to exploit the models with feed-forward (FF) Gudermannian neural networks (GNN) accomplished with global search capability of genetic algorithms (GA) combined with local convergence aptitude of active-set method (ASM), i.e., FF-GNN-GAASM to solve the second kind of Lane–Emden nonlinear singular models (LE-NSM). The proposed method based on the computing intelligent Gudermannian kernel is incorporated with the hidden layer configuration of FF-GNN models of differential operatives of the LE-NSM, which are arbitrarily associated with presenting an error-based objective function that is used to optimize by the hybrid heuristics of GAASM. Three LE-NSM-based examples are numerically solved to authenticate the effectiveness, accurateness, and efficiency of the suggested FF-GNN-GAASM. The reliability of the scheme via statistical valuations is verified in order to authenticate the stability, accuracy, and convergence.

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Section: Network Optimizationmentioning

confidence: 99%

Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

et al. 2021

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“…This is due to the fact that not only the surface but the whole mold is heated to increase surface temperature. To solve this disadvantage of increased cooling time, new techniques were developed, such as conformal cooling, algorithms that provide a better distribution of cooling channels or optimized heating procedures [14,15]. The application of induction heating for RTC technology has been strongly investigated in recent years because of high heating rates and small heating volume, which has led to an improvement of the process with a small increase in the cooling time.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Selective Induction Heating for Improvement of Mechanical Properties of Elastic Hinges

et al. 2021

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Injection molding is a polymer processing technology used for manufacturing parts with elastic hinges. Elastic hinges are widely used in FMCG (Fast Moving Consumer Goods) packaging (e.g., bottle closures of shampoos, sauces) and in the electrical engineering industry. Elastic hinge is a thin film that connect two regions of the injection molded part, where significant shear rates are present, which can lead to the degradation of polymers and the decrease in mechanical properties. Selective induction heating is the method that improves the flow of the polymer melt through thin regions by the local increase in mold temperature. In this study, selective induction heating was used to improve mechanical properties of elastic hinges by the reduction of material degradation due to high shear rates. To verify the change of shear rates, selective induction heating simulation and injection molding simulations were performed. The linear relation between mold temperature and maximum shear rate in the cross-section was identified and the mechanical tests showed significant differences in hinge stiffness, tensile strength and elongation at break.

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“…This is due to the fact that not only the surface but the whole mold is heated to increase the surface temperature. To solve this disadvantage of increased cooling time, new techniques are developed, such as conformal cooling and algorithms that provide better distribution of cooling channels or optimized heating procedure [ 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Next to the improvement of polymer flow, the high surface temperature provides several benefits at the cost of a longer process cycle. Higher cavity surface temperature can improve the part stiffness and tensile strength [ 15 ] and the functional properties as well [ 20 ]. This can be also used to minimize the reduction in tensile strength in parts, where weld lines are present [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Magnetic Concentrator for Improvement in Rapid Temperature Cycling Technology

2020

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The main method to improve the filling of the cavity by the polymer melt is to increase the mold temperature. Rapid temperature cycling (RTC) technologies have been used around the world for several years, improving the quality of injection molded parts with a slight extension of production time. The present work focuses on the application of induction heating technology in the injection molding process since it is the most effective and most intensively developing method of heating in modern RTC technologies. In this research, the application of the induction heating process for selected surfaces was investigated with particular emphasis on the dynamics of the process. The numerical simulations were used to study the influence of the number of coils, the distance between coils and cavity surface and the mold material was examined with and without the presence of a magnetic concentrator. According to the obtained results, several crucial conclusions were made: the efficiency of heating is directly correlated with the distance between the inductor and the mold surface, the presence of magnetic flux concentrator significantly improves the homogeneity of temperature distribution and heating efficiency, application of aluminum mold lowers the obtained surface temperature.

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Optimal design of heating system in rapid thermal cycling blow mold by a two-step method based on sequential quadratic programming

Cited by 27 publications

References 20 publications

Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

Evolutionary Integrated Heuristic with Gudermannian Neural Networks for Second Kind of Lane–Emden Nonlinear Singular Models

Application of Selective Induction Heating for Improvement of Mechanical Properties of Elastic Hinges

Application of Magnetic Concentrator for Improvement in Rapid Temperature Cycling Technology

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