Simultaneous Control of Birefringence and Warpage for Thermoplastic Optical Lenses Fabricated Using Microinjection Molding

Yin, Xiaohong; Yang, Can; Li, Xiping

doi:10.1080/03602559.2015.1036449

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…For MGSS cooling channels, ANOVA output defines melting temperature as the main influencing parameter affecting warpage condition. This finding is consistent with previous studies on straight drilled cooling channels, where melting temperature was found to have significant effect on flowrate and curing time of molten plastic which affect the warpage condition [ 32 , 33 , 34 ]. The next influencing parameter is coolant temperature.…”

Section: Resultssupporting

confidence: 93%

Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches

et al. 2021

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It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould.

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Section: Resultssupporting

confidence: 93%

Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches

et al. 2021

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“…The results show that melt temperature was the most significant factor contributed to the warpage condition. This result was inline with previous researchers which found out the same significant factor which influencing the warpage condition [7,[16][17][18][19][20]. Then it follows by cooling temperature and cooling time.…”

Section: Analysis Of Variance (Anova)supporting

confidence: 80%

Optimisation of warpage on plastic injection moulding part using response surface methodology (RSM)

Hazwan

Shayfull

Sharif³

et al. 2017

AIP Conference Proceedings

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Abstract.Todays, there are various of optimisation methods that have been studied by many researchers in order to find the appropriate combination of processing parameters setting in the injection moulding process. From the previous literatures, the optimisation works have been proven will improve the moulded part quality. In this study, the application of optimisation work to improve warpage of front panel housing has been explored. By selecting cooling time, coolant temperature, packing pressure and melt temperature as the variable parameters, design of experiment (DOE) have been constructed by using the rotatable central composite design (CCD) approach. Response Surface Methodology (RSM) was performed in order to define the optimal processing parameters setting which will optimise the warpage condition. Based on the results, melt temperature is the most significant factor contribute to the warpage condition and warpage have optimised by 47.1% after optimisation. The findings show that the application of optimisation work offers the best quality of moulded part produced.

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“…The results show that melt temperature was the most significant factor contributed to the warpage condition. This result was inline with previous researchers which found out the same significant factor which influencing the warpage condition [7,[17][18][19][20][21]. Then it follows by cooling temperature and cooling time.…”

Section: Analysis Of Variance (Anova)supporting

confidence: 80%

“…Yin et al [7], explored Taguchi's method with multi-objectives optimisation approach to find an optimal processing parameters in order to reduce warpage and birefringence. An optical lens made of PMMA material was used in this research.…”

Section: Introductionmentioning

confidence: 99%

Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)

et al. 2017

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Abstract. Nowadays, there are various of optimisation methods that have been explored by many researchers to find the appropriate processing parameters setting for the injection moulding process. From the previous researches, it was reported that the optimisation work has improved the moulded part quality. In this study, the application of optimisation work to improve warpage of the front panel housing have been explored. By selecting cooling time, coolant temperature, packing pressure and melt temperature as the variable parameters, design of experiment (DOE) have been constructed by using the rotatable central composite design (CCD) approach. Response Surface Methodology (RSM) was performed to obtain the mathematical model. This mathematical model then will be used in Glowworm Swarm Optimisation (GSO) method in order to determine the optimal processing parameters setting which will optimise the warpage condition. Based on the results, melt temperature is the most significant factor contribute to the warpage condition and warpage have optimised by 39.1% after optimisation. The finding shows that the application of optimisation work offers the best quality of moulded part produced.

show abstract

Simultaneous Control of Birefringence and Warpage for Thermoplastic Optical Lenses Fabricated Using Microinjection Molding

Cited by 13 publications

References 18 publications

Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches

Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches

Optimisation of warpage on plastic injection moulding part using response surface methodology (RSM)

Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)

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