Sensitivity analysis of drill wear and optimization using Adaptive Neuro fuzzy –genetic algorithm technique toward sustainable machining
Machining processes have an important place in the manufacturing industry and it indeed contributed to the economic growth of a country. About 75% of machining processes involved drilling operation. Tool wear is a common phenomenon in the machining operation and significantly affects the product dim...
Saved in:
Main Authors: | Saw, Lip Huat, Ho, Li Wen, Yew, Ming Chian, Yusof, Farazila, Pambudi, Nugroho Agung, Ng, Tan Ching, Yew, Ming Kun |
---|---|
Format: | Article |
Published: |
Elsevier
2018
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/20762/ https://doi.org/10.1016/j.jclepro.2017.10.303 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Influences of lightweight foam concrete roof tile hollow sections and thermal reflective coating in cool roof system
by: Yew, Ming Chian, et al.
Published: (2023) -
Investigation on water-borne intumescent fire protective coatings for steel / Yew Ming Chian
by: Yew, Ming Chian
Published: (2011) -
Performance Analysis And Postulation Modeling Of Tool Wear In Drilling
by: Subramonian, Sivarao, et al.
Published: (2004) -
Comparative Performance Analysis & Modeling Of Tool Wear In Drilling
by: Chin, Chee Wen, et al.
Published: (2004) -
Numerical investigation for optimizing segmented micro-channel heat sink by Taguchi-Grey method
by: Naqiuddin, Nor Haziq, et al.
Published: (2018)