The effect of multiple variables on tensile property of injection‐molded polypropylene through the combination of orthogonal design and variance analysis

Abstract

In this article, a combination of orthogonal design and variance analysis was used to study the systematical effect of vibration pressure, melt temperature, packing cycle, and mold temperature on the tensile property of polypropylene in dynamic packing injection molding (DPIM). The tensile measurement results show that all variables had significant influence on the final tensile property under the present molding condition. Meanwhile, the optimal molding condition to achieve high tensile strength was also obtained in the investigated ranges. Further quantitative statistical analysis revealed the degree of influence of four variables on the tensile property of polypropylene in DPIM. The sequence of the degree of influence from maximum to minimum is as follow: vibration pressure, melt temperature, packing cycle, and mold temperature. These findings provide the experimental and statistical evidences to illustrate that the application of orthogonal design and variance analysis might be an effective approach to systematically study the effect of multiple variables on the final mechanical property.

Comprehensive study on the relationships between the processing, the microstructure, and mechanical properties of injection molded polypropylenes

“…For a given material (e.g., polypropylene, PP), the definition and combination of the molding parameters induce a specific morphology across the thickness and along the entire domain of the part [1][2][3][4][5][6]. Also, and as a result of the developed morphology, the molding parameters will determine the mechanical response of the material [7][8][9][10][11][12]. Under well-defined service conditions, namely temperature, load case and strain rate, the mechanical performance of an injection molded part is basically a result of the fundamental molecular nature plus the process induced morphology [13][14][15][16][17][18][19][20].…”

Concoction Optimization of a Functional Beverage Developed From Calligonum Linnaeus

“…Orthogonal design and variance analysis are often used to optimize a technique process in many domains. (Annappa and Basavarajappa, 2013;Bagci and Imrek, 2013;Gao et al, 2012;Chuichulcherm et al, 2013;Hu et al, 2013).…”