Plastic injection molding is widely used for manufacturing a variety of parts. Molding
conditions or process parameters play a decisive role that affects the quality and productivity …

Over the years, injection molding has been a premier manufacturing technique in the
production of intricate polymer components. Its molding efficiency rests on the shoulders of …

Finding appropriate machine setting parameters in injection molding remains a difficult task
due to the highly nonlinear process behavior. Artificial neural networks are a well-suited …

This paper presents an approach for determination of the best cutting parameters leading to
minimum surface roughness in end milling mold surfaces of an ortez part used in biomedical …

The necessity of an abundance of training data commonly hinders the broad use of machine
learning in the plastics processing industry. Induced network-based transfer learning is used …

In this study, it is attempted to give an insight into the injection processability of three self-
prepared polymers from A to Z. This work presents material analysis, injection molding …

This study optimized effect of injection parameters such as melt temperature, packing
pressure, cooling time and injection pressure on the mechanical properties of Acrylonitrile …

Automatic in-line process quality control plays a crucial role to enhance production efficiency
in the injection molding industry. Industry 4.0 is leading the productivity and efficiency of …

This paper presents an innovative neural network-based quality prediction system for a
plastic injection molding process. A self-organizing map plus a back-propagation neural …

Support vector machines (SVMs) are receiving increased attention in different application
domains for which neural networks (NNs) have had a prominent role. However, in quality …