Integration of Multivariate Statistical Control Chart and Machine Learning to Identify the Abnormal Process...

Area of Science:

• Materials Science
• Polymer Engineering
• Composite Materials

Background:

• Polylactide (PLA) is a biodegradable polymer with potential for composite applications.
• Incorporating glass fibers (GF) can enhance PLA's mechanical properties.
• Optimizing injection molding parameters is crucial for developing high-performance PLA/GF composites.

Purpose of the Study:

• To investigate the influence of various injection molding parameters on the mechanical properties of PLA/GF composites.
• To determine the optimal processing conditions for maximizing multiple mechanical characteristics simultaneously.
• To achieve enhanced functional composite materials with desirable glass fiber properties.

Main Methods:

• Utilized the Taguchi method with orthogonal arrays for experimental design.
• Applied Main Effect Analysis (MEA) and Analysis of Variance (ANOVA) for single-quality optimization.
• Employed Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA) for multi-quality optimization.

Main Results:

• Identified optimal parameters: 20 wt% glass fiber, 185°C melt temperature, 80 mm/s injection speed, 60 MPa holding pressure, 1s holding time, and 15s cooling time.
• Achieved significant improvements in mechanical properties: tensile strength (95.04 MPa), hardness (86.52 Shore D), impact strength (4.4408 J/cm²), and bending strength (119.89 MPa).

Conclusions:

• The optimized injection molding process significantly enhances the multiple mechanical qualities of PLA/GF composites.
• The findings provide a pathway for producing advanced functional composite materials.
• This research contributes to the development of high-performance biodegradable composites for various applications.