Analysis of process parameters in surface grinding with graphite as lubricant based on the Taguchi method
By S. Shaji, V. Radhakrishnan. 2003
201 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/47918b9c7cecfe34bb67ae2581c2050abbf8c716
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Tzu‐Liang Bill Tseng
- Hoejin Kim
- Yirong Lin
- Ahmed A. D. Sarhan
- Imtiaz Ahmed Choudhury
- Ooi Ming Erh
- S. A. Lawal
- Yusoff Nukman
In Electrical and Electronic Engineering
- Ahmed A. D. Sarhan
- Imtiaz Ahmed Choudhury
- Tzu‐Liang Bill Tseng
- Ooi Ming Erh
- Hoejin Kim
- S. A. Lawal
- Yusoff Nukman
- Ulas Çaydas
In Mechanical Engineering
- Tzu‐Liang Bill Tseng
- Hoejin Kim
- Yirong Lin
- M. Sayuti
- Ahmed A. D. Sarhan
- Imtiaz Ahmed Choudhury
- Ooi Ming Erh
- S. A. Lawal
Citations in the corpus
- Optimization of turning parameters for surface roughness and tool life based on the Taguchi method (2008, methodology): “Taguchi’s method of experimental design provide a simple, efficient, and systematic approach for the optimization of experimental designs for performance quality and cost [ 5 ].”
- Investigation on the morphology of the machined surface in end milling of aerospace AL6061-T6 for novel uses of SiO2 nanolubrication system (2014, methodology): “For example, in grinding, the use graphite nanoplates as lubricants has been investigated in order to reduce the cutting force and power (Shaji and Radhakrishnan, 2003b).”
- A critical assessment of lubrication techniques in machining processes: a case for minimum quantity lubrication using vegetable oil-based lubricant (2013, background): “Solid lubricant technique Machining with solid lubricants is one attempt to avoid the use of cutting fluid (Shaji and Radhakrishnan, 2003).”
- A review on quality control in additive manufacturing (2018, methodology): “…is a versatile tool for process and product design optimizations and to solving current quality control issues on 3D printing technology (Patel et al., 2012), based on the references (Sood et al., 2009, 2010; Shaji and Radhakrishnan, 2003; Çaydas and Hasçalik, 2008; Gopal andChakradhar, 2012).”