Optimisation of Surface Roughness in 3D Printing Using the Bees Algorithm
Additive manufacturing (AM) is renowned for its capability to produce parts that are low-cost and have less manufacturing time. One of the main challenges in this additive manufacturing technology is selecting proper input process parameters to achieve good quality of the 3D printed model. The focus...
Saved in:
Main Authors: | Kamaruddin, Shafie, Ridzuan, Arman Hilmi, Sukindar, Nor Aiman |
---|---|
Format: | Book Chapter |
Language: | English English |
Published: |
Springer
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/116094/1/Bees%20Algorithm.pdf http://irep.iium.edu.my/116094/2/1.pdf http://irep.iium.edu.my/116094/ https://doi.org/10.1007/978-3-031-64936-3_9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of drilling path using the bees algorithm
by: Kamaruddin, Shafie, et al.
Published: (2021) -
Analysis and modeling of surface roughness in powder mix EDM and pure EDM using central composite design
by: Mohd Zain, Zakaria, et al.
Published: (2023) -
Surface roughness in drilled carbon fiber reinforced polymer (CFRP)composite using diamond coated ball-nose drills
by: Konneh, Mohamed, et al.
Published: (2015) -
Surface roughness prediction in high speed flat end milling of Ti-6Al-4V and optimization by desirability function of RSM
by: Alam, S., et al.
Published: (2011) -
Surface roughness study of milled carbon fiber reinforced polymer (CFRP) composite using 4 mm 2-flute titanium aluminum nitride (TiAlN) coated carbide end mills
by: Konneh, Mohamed, et al.
Published: (2014)