Multi-objective optimal approach for injection molding based on surrogate model and particle swarm optimization algorithm

Chen, Wei; Zhou, Xionghui; Wang, Huifeng; Wang, Wan

doi:10.1007/s12204-010-9517-4

Cited by 15 publications

(5 citation statements)

References 15 publications

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“…For this reason, these parameters can be important factors that contribute to the phase-change process of the polymer. Under these conditions, it is confirmed that it is necessary, when designing the shape of the parts of the dynamics, to take into account the polymer plasticization process that takes place during the technological process of injection molding [ 40 , 41 ]. As a result, the choice of small values for the R-ray would cause an increase in the flow rate of the polymer, which can cause substantial changes in the values of the shear rate

(Equation (7)), with effects on the mechanical properties of the polymer in the parts.…”

Section: Resultsmentioning

confidence: 99%

Redesign of the Geometry of Parts Produced from PBT Composite to Improve Their Operational Behavior

Dobrotă

Lazăr²

2021

Polymers

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Parts produced from PBT-GF30 (70% polybutylene terephthalate +30% fiberglass) are very often used in car construction, due to the properties of this material. The current trend is to make parts with a shape designed to be as complex as possible, to take over many functions in operation. During the research, a part that is a component of the structure of car safety systems, and that must be completely reliable in operation, was analyzed. This piece has a complex shape that involves the intersection of several walls. Thus, the research aimed at establishing the optimal radius of connection between the walls (R), the ratio between the thickness of the intersecting walls (K) and the angle of inclination of the walls (α). The composite central design method was used to design the experiments. Both new parts and parts subject to an artificial aging process were tested. All parts were subjected to shear stress, to determine the load (L) and displacement (D) at which they break. In order to observe other changes in the properties of the parts, in addition to the mechanical ones, an analysis of the color of the new and aged parts was performed, as well as a topography of the surface layer in the breaking area. The design of the parts involved changes to the parameters of the injection process. In these conditions, a PBT-GF30 viscosity analysis was performed for new and artificially aged parts.

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(Equation (7)), with effects on the mechanical properties of the polymer in the parts.…”

Section: Resultsmentioning

confidence: 99%

Redesign of the Geometry of Parts Produced from PBT Composite to Improve Their Operational Behavior

Dobrotă

Lazăr²

2021

Polymers

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“…Gao and Wang [2] employed a Kriging approximation model along with an adaptive optimization technique to minimize the warpage in produced parts by varying process parameters such as the mold and melt temperature, injection time as well as the holding pressure and time. Similar works were performed by Chen et al [3], Wang et al [4] and Kang et al [5]. Others used radial basis function [6][7][8], artificial neural networks [9,10], Gaussian process [11] as surrogate modeling technique to optimize process parameters for controlling shrinkage and warpage in the final part.…”

Section: Introductionmentioning

confidence: 85%

Towards an accurate pressure estimation in injection molding simulation using surrogate modeling

et al. 2022

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The computational cost of high-fidelity injection molding simulations has been growing in the past years making it more and more challenging to use them for performing analyses such as optimizations or uncertainty quantification. Surrogate modeling offers a cheaper way to realize such studies and has been gaining attention in the field of injection molding simulation. In this work, we propose to compare three surrogate modeling techniques along with two design of experiment methods in their ability to predict the pressure signal at a surface node in a Moldflow simulation by varying process and modeling parameters. A Sobol sensitivity analysis is performed to study the contribution of the varied parameters on the pressure results. In addition, one of the generated models is used along with experimental pressure sensor data to improve the pressure estimation by calibrating the heat transfer coefficients during filling and packing as well as the pressure-dependency coefficient in the Cross-WLF viscosity model. This resulted in major improvements of the pressure predictions for all 27 considered cases in comparison to using the default heat transfer coefficients and viscosity model parameter.

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“…The location information of farmer service points and alternative cold storage points is shown in Figure 10, and the specific information of each point is shown in Table 3. Figure 10 Location distribution map of each point Combined with existing literature [2], [36], [37] and the actual situation of Chenggu County, the basic data of the model are set as follows: the construction costs of the origin-based cold storage are 150,000 yuan, the operation costs of the origin-based cold storage are 50 yuan/day, the maximum storage capacity of the origin-based cold storage is 40 t, the operation accounting period is 5 years, the annual operation time is 6 months, the maximum load of the refrigerated truck is 8t, and the driving speed is set to 50 km/h. The relevant data settings such as purchase costs, maintenance costs and transportation costs of refrigerated trucks are shown in Table 4.…”

Section: Practical Case Application 51 Practical Case Introductionmentioning

confidence: 99%

Research on Origin-based Cold Storage Location and Routing Optimization of Fresh Agricultural Products Based on Hybrid Whale Algorithm

Zhou,

Li,

Xie

et al. 2024

Preprint

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Aiming at the problem that the number of origin-based cold storages is insufficient and the resources are unbalanced in China, this paper studies the location and routing problem (LRP) of origin-based cold storage for fresh agricultural products. This paper considers the loss of fresh agricultural products, and constructs a cold storage LRP model. To solve this problem, a hybrid whale algorithm is designed, and the effectiveness of the algorithm is verified by standard instances. Finally, taking Chenggu County as a practical case, the influence of cold storage capacity and farmers demand for refrigeration on LRP are analysed. Experimental results show that the algorithm proposed in this paper has a good effect in solving the medium-scale LRP. The cold storage capacity has an important impact on the LRP results. With the increase of farmers’ demand for refrigeration, the number of cold storages and vehicles increases, the total system costs increase gradually.

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Multi-objective optimal approach for injection molding based on surrogate model and particle swarm optimization algorithm

Cited by 15 publications

References 15 publications

Redesign of the Geometry of Parts Produced from PBT Composite to Improve Their Operational Behavior

Redesign of the Geometry of Parts Produced from PBT Composite to Improve Their Operational Behavior

Towards an accurate pressure estimation in injection molding simulation using surrogate modeling

Research on Origin-based Cold Storage Location and Routing Optimization of Fresh Agricultural Products Based on Hybrid Whale Algorithm

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