Boosting business agility with additive digital molding: An Industry 5.0 approach to sustainable supply chains

A Fernández-Miguel, FE García-Muiña… - Computers & Industrial …, 2024 - Elsevier
This study explores the use of Additive Digital Molding, an Industry 5.0-driven approach, to
improve business agility and sustainability within supply chains. By integrating digital …

Haptic perception using optoelectronic robotic flesh for embodied artificially intelligent agents

JA Barreiros, A Xu, S Pugach, N Iyengar, G Troxell… - Science Robotics, 2022 - science.org
Flesh encodes a variety of haptic information including deformation, temperature, vibration,
and damage stimuli using a multisensory array of mechanoreceptors distributed on the …

Objectives, challenges, and prospects of batch processes: Arising from injection molding applications

Y Zhou, Z Cao, J Lu, C Zhao, D Li, F Gao - Korean Journal of Chemical …, 2022 - Springer
Injection molding, a polymer processing technique that converts thermoplastics into a variety
of plastic products, is a complicated nonlinear dynamic process that interacts with a different …

Rule-based explanations based on ensemble machine learning for detecting sink mark defects in the injection moulding process

J Obregon, J Hong, JY Jung - Journal of Manufacturing Systems, 2021 - Elsevier
Manufacturing quality control (QC) in plastic injection moulding is of the upmost importance
since almost one third of plastic products are manufactured via the injection moulding …

Optimization of injection-molding process for thin-walled polypropylene part using artificial neural network and Taguchi techniques

M Moayyedian, A Dinc, A Mamedov - Polymers, 2021 - mdpi.com
Plastics are commonly used engineering materials, and the injection-molding process is
well known as an efficient and economic manufacturing technique for producing plastic parts …

[HTML][HTML] Artificial Neural Network Training Using Structural Learning with Forgetting for Parameter Analysis of Injection Molding Quality Prediction

MR Maarif, RF Listyanda, YS Kang, M Syafrudin - Information, 2022 - mdpi.com
The analysis of influential machine parameters can be useful to plan and design a plastic
injection molding process. However, current research in parameter analysis is mostly based …

Surface roughness analysis in milling machining using design of experiment

M Moayyedian, A Mohajer, MG Kazemian… - SN Applied …, 2020 - Springer
The objective of this paper is to evaluate the effect of different machining parameters on the
surface roughness of Hardox 600 (hard and tough steel with high wear resistance and …

Multi-objective optimization of injection molding process for determination of feasible moldability index

M Moayyedian, A Mamedov - Procedia CIRP, 2019 - Elsevier
A multi-objective optimization of injection molding for determination of feasible moldability
index was investigated in this study. The feasible moldability indices were calculated by …

Modeling and analysis of cavity modification effect on quality of injection molded polymer gear

BS Solanki, H Singh, T Sheorey - International Journal on Interactive …, 2022 - Springer
To improve the productivity of the injection molding, it is essential to manufacture the part in
the shortest possible period of time while minimising the waste. Additionally, quality of the …

[HTML][HTML] Optimization of the reduction of shrinkage and warpage for plastic parts in the injection molding process by extended adaptive weighted summation method

G Hiyane-Nashiro, M Hernández-Hernández… - Polymers, 2022 - mdpi.com
The consumer market has changed drastically in recent times. Consumers are becoming
more demanding, and many companies are competing to be market leaders. Therefore …