In the last few decades, the influence of machine learning has permeated many areas of
science and technology, including the field of materials science. This toolkit of data driven …

Inverse design of metamaterial structures with customized strain-dependent Poisson's ratio
has significant potential across various applications. However, achieving precise control …

Highlights What are the main findings? In this study, we apply the Latin hypercube sampling
method for sampling and combine the CGIDN and response surface modeling methods …

Detecting anomalies in the injection molding process remains a challenging task,
demanding significant resources, data, and expertise due to their impact on cost and time …

Advanced sensor-system-integrated injection molding is a promising technology that can
overcome long-lasting problems in the injection molding industry, improve product quality …

Minimising cycle time without inducing quality defects is a major challenge in injection
moulding (IM). Design of Experiment methods (DoE) have been widely studied for …

Medical concentric tubes have recently been designed using auxetic structures with
negative Poisson's ratios to reduce undesirable snap** instability and improve …

The key of the multi-objective optimization of injection molding processes lies in achieving a
balance between the accuracy of the surrogate model and the multiple objectives while …

Volume shrinkage and warpage deformation are very critical quality indicators in the plastic
injection molding (PIM) of box-shaped thin-walled plastics. These two performance indexes …

Injection molding is one of the dominant methods for mass‐producing short fiber reinforced
plastics renowned for their exceptional specific properties. In the utilization of such …