Process Parameter Optimization of Additively Manufactured Parts Using Intelligent Manufacturing

Article Materials Science, Multidisciplinary

Short basalt fibre reinforced recycled polypropylene filaments for 3D printing

Pouyan Ghabezi et al.

Summary: In this study, recycling waste materials to produce reinforced filaments for 3D printing was explored. By optimizing the extrusion parameters, filaments with 5% weight fraction of basalt fiber were successfully manufactured and considered suitable for 3D printing applications.

MATERIALS LETTERS (2022)

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Article Engineering, Electrical & Electronic

Optimizing System Reliability in Additive Manufacturing Using Physics-Informed Machine Learning

Soren Wenzel et al.

Summary: This study addresses the uncertainty in mechanical properties and quality of printed parts in fused filament fabrication (FFF) by introducing a machine learning method. By predicting system responses, the significant input parameters for a reliable system are determined, and real-time predictions are provided.

MACHINES (2022)

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Article Computer Science, Interdisciplinary Applications

A big data-driven framework for sustainable and smart additive manufacturing

Arfan Majeed et al.

Summary: The paper presents the development and application of the sustainable and smart additive manufacturing (SSAM) framework, aiming to improve the production efficiency and sustainability of additive manufacturing enterprises. By combining big data analytics, additive manufacturing, and sustainable smart manufacturing technologies, energy consumption and product quality are effectively controlled.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2021)

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Review Materials Science, Multidisciplinary