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Energy-Efficient Enhancement for Viscoelastic Injection Rheomolding Using Hierarchy Orthogonal Optimization
Joint Authors
Zhang, Shuyou
Xu, Jinghua
Wang, Tiantian
Tan, Jianrong
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-23
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
The viscoelastic injection molding involves multidisciplinary thermoplastic rheomolding parameters which is a complex mathematical problem.
Particularly for rheomolding of complex parts with thin-walled structure, boss, and grooves, the increasing higher requirements on energy efficiency and rheomolding quality are put forward.
Therefore, an energy-efficient enhancement method for viscoelastic injection molding using hierarchy orthogonal optimization (HOO) is proposed.
Based on the thermoplastic rheomolding theory and considering the viscoelastic effects in injection molding, a set of partial differential equations (PDE) describing the physical coupling behavior of the mold-melt-injection molding machine is established.
The fuzzy sliding mode control (FSMC) is used to reduce the energy consumption in the control system of the injection molding machine’s clamping force.
Then, the HOO model of viscoelastic injection rheomolding is built in terms of thermoplastic rheomolding parameters and injection machine parameters.
In initial hierarchy, through Taguchi orthogonal experiment and Analysis of Variance (ANOVA), the amount of gate, melt temperature, mold temperature, and packing pressure are extracted as the significant influence parameters.
In periodical hierarchy, the multiobjective optimization model takes the forming time, warping deformation, and energy consumption of injection molding as the multiple objectives.
The NSGA-II (Nondominated Sorting Genetic Algorithm II) optimization is employed to obtain the optimal solution through the global Pareto front.
In ultimate hierarchy, three candidate schemes are compared on multiple objectives to determine the final energy-efficient enhancement scheme.
A typical temperature controller part is analyzed and the energy consumption of injection molding is reduced by 41.85%.
Through the physical experiment of injection process, the proposed method is further verified.
American Psychological Association (APA)
Xu, Jinghua& Wang, Tiantian& Zhang, Shuyou& Tan, Jianrong. 2018. Energy-Efficient Enhancement for Viscoelastic Injection Rheomolding Using Hierarchy Orthogonal Optimization. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-20.
https://search.emarefa.net/detail/BIM-1208688
Modern Language Association (MLA)
Xu, Jinghua…[et al.]. Energy-Efficient Enhancement for Viscoelastic Injection Rheomolding Using Hierarchy Orthogonal Optimization. Mathematical Problems in Engineering No. 2018 (2018), pp.1-20.
https://search.emarefa.net/detail/BIM-1208688
American Medical Association (AMA)
Xu, Jinghua& Wang, Tiantian& Zhang, Shuyou& Tan, Jianrong. Energy-Efficient Enhancement for Viscoelastic Injection Rheomolding Using Hierarchy Orthogonal Optimization. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-20.
https://search.emarefa.net/detail/BIM-1208688
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208688