2022
DOI: 10.37358/mp.21.4.5537
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Optimization of Injection Molding of Automotive Plastic Horn Cover Part Using Taguchi Method and Reverse Engineering

Abstract: The aim of the paper consisted in the development of an injection mold for plastic horn cover parts in commercial vehicles. Three mold types were designed in anticipation of the structure and quality of molds, and injection molding numerical analyses were conducted for the three types of molds. One mold type was selected in consideration of the resin flow patterns inside the mold, surface quality, and final deflection amount of the horn cover. To perform optimal injection molding using the selected mold, optim… Show more

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Cited by 3 publications
(3 citation statements)
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References 25 publications
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“…The results of the ANOVA are shown in Table 7. According to ANOVA the results, if the significance level was set at 5%, the factors affecting the https://doi.org/10.37358/MP.23.3.5676 deformation of the molded product were melt temperature (H), holding time (I), holding pressure (J), and coolant temperature (K) [21].…”
Section: Table 4 L27 Orthogonal Arraymentioning
confidence: 99%
“…The results of the ANOVA are shown in Table 7. According to ANOVA the results, if the significance level was set at 5%, the factors affecting the https://doi.org/10.37358/MP.23.3.5676 deformation of the molded product were melt temperature (H), holding time (I), holding pressure (J), and coolant temperature (K) [21].…”
Section: Table 4 L27 Orthogonal Arraymentioning
confidence: 99%
“…The Lensknob is manufactured using transparent polycarbonate (PC) resin characterized by high dimensional accuracy and luminance uniformity. Injection-molded parts requiring optical properties require more precise process parameters than general injection molded parts [1][2][3][4][5]. Injection molding simulation is used to control molding parameters for precise injection molding.…”
Section: Introductionmentioning
confidence: 99%
“…Table 4 shows the fill time, maximum injection pressure, clamp force, and mold temperature predicted by Moldflow in the 243 injection molding analyses. The optimization problem of the axial concentricity after deformation can be written as Equation (1).…”
Section: Introductionmentioning
confidence: 99%