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  6. Optimization of Formulation Ratios for Plastics 'Design-Expert'

Optimization of Formulation Ratios for Plastics 'Design-Expert'

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Design-Expert

last updated:Jul 09, 2026

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Optimal experimental design tool for improving plastic moldability.

In the plastic industry, optimizing moldability is required to improve product quality and production efficiency. Since many factors, such as material properties, molding conditions, and mold design, influence moldability, it is important to efficiently evaluate these factors and find the optimal conditions. Improper condition settings can lead to the occurrence of defective products and increased production costs. The graphical design of experiments (DOE) tool 'Design-Expert' supports the planning and analysis of experiments based on scientific evidence to address these challenges and contribute to the improvement of moldability. 【Application Scenarios】 - Optimization of the mixing ratios of plastic materials and molding conditions (temperature, pressure, time, etc.) - Investigation and improvement of causes of molding defects (sink marks, warping, weld lines, etc.) - Evaluation of moldability in new material development - Stabilization of production processes and improvement of yield 【Effects of Implementation】 - Improvement in product quality due to enhanced moldability - Reduction of defective products and decrease in production costs - Shortening of development periods and efficient material and process development - Support for objective decision-making based on data

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PerceptuallyUniformColorMaps.png

Optimization of Formulation Ratios for Plastics 'Design-Expert'

PerceptuallyUniformColorMaps.png
PerceptuallyUniformColorMaps.png designExpert_1110_350-1024x323.png Design_Expert_0.png Design_Expert_1.png v12_mix_process.max-200x200.png qbd_design_03.png
  • https://www.hulinks.co.jp/software/design-expert/
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basic information

【Features】 - Intuitive display of response surfaces using a rotatable 3D plot - Supports a wide range of experimental design methods, including level factor screening plans, response surface methodology (RSM), and mixture design - Capable of combination plans for process factors, mixture components, and categorical factors - Design and analysis functions for split-plot experiments - Logistic regression functionality for binary data analysis

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(Hulinks page)

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P3

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P3

Applications/Examples of results

Use of Design-Expert in Pharmaceutical Quality Control

Detailed information

  • 等高線グラフ.png

  • 3Dプロット.png

  • Optimization.png

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Experimental plan in 'Stat-Ease 360' (to the Hurlinks page) https://www.hulinks.co.jp/software/stat-ease-360/

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Even in a rapidly changing world, the philosophy of HuLinks has not changed since its founding. The greatness of humanity lies in our ability to think, create, and carve out a new tomorrow. We aim to contribute to society by providing carefully selected solutions that support this remarkable human ability—intellectual creation—while also offering a more comfortable environment and enhancing productivity.

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