Genetic Algorithm-Based Data-Driven Process Selection System for Additive Manufacturing in Industry 4.0

Additive manufacturing (AM) has impacted the manufacturing of complex three-dimensional objects in multiple materials for a wide array of applications. However, additive manufacturing, as an upcoming field, lacks automated and specific design rules for different AM processes. Moreover, the selection...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Materials Ročník 17; číslo 18; s. 4544
Hlavní autoři:	Aljabali, Bader Alwomi, Shelton, Joseph, Desai, Salil
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 16.09.2024 MDPI
Témata:	3D printing Additive manufacturing Algorithms Automation Classification Datasets Decision making Design Designers Dimensional analysis Genetic algorithms Industrial applications Industrial development Industry 4.0 Knowledge Knowledge bases (artificial intelligence) Manufacturability Mathematical optimization Neural networks Optimization Particle swarm optimization Process planning Process selection Rapid prototyping Technology application Three dimensional printing Taiwan genetic algorithm expert system design for additive manufacturing Industry 4.0
ISSN:	1996-1944, 1996-1944
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!