Experimental Investigations of Graphene Nanoparticle-Based Cutting Fluid during Turning of Titanium Alloy (Grade 5) with Minimum Quantity Lubrication
Journal Title: Journal of Advanced Research in Manufacturing, Material Science & Metallurgical Engineering - Year 2018, Vol 5, Issue 1
Abstract
Nano Fluid Based Minimum quantity lubrication (NFBMQL) has proved to be a sustainable approach that can update minimum quantity lubrication (MQL) for the application of cutting fluid in the metal cutting operation. Addition of nanoparticles within the reducing fluid might also improve the cooling and lubricating properties of the base fluid. Present work offers with the experimental investigation of the effect of the addition of graphene nanoparticles inside the cutting fluid under MQL on machinability characteristics inclusive of surface roughness, flank wear, cutting area temperature and machining time. Response surface technique (RSM) was applied to the experimental layout. Cutting speed, feed rate and depth of cut had been taken as machining parameters. Regression analyses changed into employed to estimate flank wear, surface roughness, machining time and cutting area temperature. ANOVA became implemented to look at the influence of cutting parameters on cutting temperature, flank wear, machining time and surface roughness. Results confirmed that of graphene nanoparticles performed an extended position in reducing flank put on of cutting tool even at the higher significance of cutting speed and feed rate which has an enormous ability to improving the productivity of machining. Minimum surface roughness became also acquired at better; in the end, the optimization of output responses became executed which will offer the levels of quality cutting conditions.
Authors and Affiliations
Sivakoteswararao Katta
Keywords
Related Articles
- EP ID EP374521
- DOI -
- Views 98
- Downloads 0
An Experimental Investigation During Electric Discharge Machining of Tool Steel-D2
Electrical Discharge Machining (EDM) is the one of the earliest non-traditional machining processes. Today, many parts used in the aerospace and automotive industries and in the final processes of surgical can be finishe...
Multi Objective Optimization of Pitting Corrosion Rate of Micro Plasma Arc Welded Titanium (Ti-6Al-4V) Alloy Sheets using TOPSIS
Titanium is having good anti-corrosion properties in both basic and acidic medium. However, when it is subjected to severe heating processing like welding, there is a possibility of corrosion formation at the weld joint....
Interactive Technology Aided in Teaching and Learning for Engineering Education Aligned with IR 4.0
There are many different ways for people to be educated and trained with regard to specific information and skills they need through teaching and learning methods. Varieties of methods has been used includes classroom le...
Predictive Modeling of Surface Roughness in MQL assisted Turning of SiC-Al Alloy Composites using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System
This research work deals with the analysis of surface roughness in turning SiC-Al Alloy composite through experimental investigation and predictive model formulation using Artificial neural network (ANN) and Adaptive neu...
Nanomaterials based Electrodes for Electrochemical Sensor
Carbon nanoparticles and Zinc oxide material is a unique material for marking electrode for electrochemical sensing of heavy metal ions in the water. Carbon has unique properties. We proposed simple method for preparatio...