Parameter Optimization of PET Plastic Preform Bottles in Injection Molding Process Using Grey-Based Taguchi Method

نویسندگان

چکیده

The paper investigated the optimization design of plastic injection molding process parameters for preformed bottle production using grey-Taguchi method to minimize shrinkage defects. Diametrical (radial) and length (axial) were taken as responses one-liter PET preform perform by controlling four parameters. obtained optimum parameter combination was 260°C melting temperature, 70°C 120 MPa holding pressure, 15 s cooling time. Melting temperature most significant factor according ANOVA in production. experimental validation test also performed optimal level settings, five samples preforms taken, result showed that reduced 22.55%. average grey relational grade, 0.853, confirmation results found between confidence intervals 0.581 1.125 95% level. Therefore, a good agreement predicted values.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Integrating the Taguchi Method and Response Surface Methodology for Process Parameter Optimization of the Injection Molding

The outer coating of an optical fiber cable protects the optical fiber, and the contraction rate of the outer coating can affect the communication capacity and distance, so the contraction rate is often regarded as the key factor in defining the quality of an optical fiber cable. For this reason, using the example of the circular single-pin optical fiber cable manufacturing process of the large...

متن کامل

Optimization of the injection molding process of Derlin 500 composite using ANOVA and grey relational analysis

Warpage and shrinkage control are important factors in proving the quality of thin-wall parts in injection modeling process. In the present paper, grey relational analysis was used in order to optimize these two parameters in manufacturing plastic bush of articulated garden tractor. The material used in the plastic bush is Derlin 500. The input parameters in the process were selected according ...

متن کامل

Optimization of Machining Parameter for Turning of En 16 Steel Using Grey Based Taguchi Method

This paper presents the optimization of CNC turning parameters for EN 16 steel bar using the Grey Taguchi Method. A plan of experiments based on Taguchi’s L27 orthogonal array was established and turning experiments were conducted with prefixed cutting parameters for EN 16 steel bar using tungsten carbide tool. The turning parameters are cutting speed, feed rate and depth of cut and the respons...

متن کامل

Process parameter optimization for MIMO plastic injection molding via soft computing

Determining optimal process parameter settings critically influences productivity, quality, and cost of production in the plastic injection molding (PIM) industry. Previously, production engineers used either trial-and-error method or Taguchi’s parameter design method to determine optimal process parameter settings for PIM. However, these methods are unsuitable in present PIM because the increa...

متن کامل

Optimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm

Injection molding is one of the most important and common plastic formation methods. Combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. Because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Advances in Materials Science and Engineering

سال: 2022

ISSN: ['1687-8434', '1687-8442']

DOI: https://doi.org/10.1155/2022/4416602