An Approach to the Impact Simulation on Foamed Injection Molded Polypropylene Parts: An Example of Application in the Automotive Industry. [PDF]
Polymers (Basel), 2023 Nutini M, Franzen M, Vitali M.
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Statistical problem‐solving teams: A case study in a global manufacturing organization in the automotive industry [PDF]
, 2023 Matthew Barsalou, Robert Perkin
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Journal of Applied Polymer Science, Volume 142, Issue 16, April 20, 2025.ABSTRACT An extensive experimental analysis was conducted to assess the thermal, acoustic, magnetic, and electrical properties of composite materials reinforced with varying ratios of silicon carbide (SiC) and alumina (Al₂O₃) powders, with a focus on enhancing the functionality of robotic arms.
Merdan Özkahraman +2 more
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Using machine learning prediction models for quality control: a case study from the automotive industry. [PDF]
Comput Manag Sci, 2023 Msakni MK, Risan A, Schütz P.
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Preparation of MOEAMCl and MAAm Based Hydrogels and Effective Use in Anionic Dye Adsorption
Journal of Applied Polymer Science, Volume 142, Issue 16, April 20, 2025.ABSTRACT In this study, hydrogels based on [2‐(Methacryloyloxy)ethyl]trimethylammonium chloride (MOEAMCl) and methacrylamide (MAAm) were synthesized for the removal of anionic dyes from aqueous solutions. Following detailed characterization, the use of hydrogels for methyl orange (MO) adsorption was investigated.
Hilal Nur Duykop Demir +3 more
wiley +1 more source
Blockchain-Based Secure Storage and Access Control Scheme for Supply Chain Ecological Business Data: A Case Study of the Automotive Industry. [PDF]
Sensors (Basel), 2023 Li S, Zhou T, Yang H, Wang P.
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Is the European automotive industry ready for the global electric vehicle revolution? Bruegel Policy Contribution Issue n˚26 | December 2018 [PDF]
, 2018 Gustav Fredriksson +3 more
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Journal of Applied Polymer Science, EarlyView.This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
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