A Parametric Analysis on Micro-Drilling Process With Nanofluid Minimum Quantity Lubrication

Author(s):  
Jung Soo Nam ◽  
Dae Hoon Kim ◽  
Sang Won Lee

This paper presents a parametric analysis on microdrilling process using nanofluid minimum quantity lubrication (MQL). In this paper, the effects of several machining parameters such as a feed rate, rotational speed and drill diameter on micro drilling performances are investigated under various lubrication conditions — compressed air lubrication, pure MQL and nanofluid MQL. For nanofluid MQL, nanodiamond particles are used with the volumetric concentration of 4 %. A series of microdrilling experiments are carried out in the miniaturized machine tool system. The experimental results show the nanofluid MQL can be effective for reducing average drilling torques and thrust forces, in particular, at relatively low feed rate (10 mm/min) and low spindle speed (30,000 RPM) in the case using the drill with small diameter (0.1 mm). Meanwhile, in the case using the drill with large diameter (0.5 mm), the nanofluid MQL may not be effective for reducing average torques and thrust forces.

Author(s):  
Jung Soo Nam ◽  
Pil-Ho Lee ◽  
Sang Won Lee

This paper presents two basic experimental studies of a micro-drilling process with nanofluid minimum quantity lubrication (MQL) in terms of machining and environmental characteristics. By using a miniaturized desktop machine tool system, a series of micro drilling experiments were conducted in the cases of dry, compressed air and nanofluid MQL. The experimental results imply that nanofluid MQL significantly reduces the adhesion of chips when compared with the cases of dry and compressed air micro-drilling. As a result, it is observed that the magnitudes of average drilling torque and thrust force are decreased and the tool life of micro drills is extended in the case of nanofluid MQL micro-drilling process. In addition, the empirical study on environmental characteristics of MQL micro-drilling process is conducted by measuring MQL oil mist with the oil sampling method. The results show that remaining MQL oil mist is tiny enough not to have a detrimental effect on human health.


2016 ◽  
Vol 16 (2) ◽  
pp. 75-88 ◽  
Author(s):  
Munish Kumar Gupta ◽  
P. K. Sood ◽  
Vishal S. Sharma

AbstractIn the present work, an attempt has been made to establish the accurate surface roughness (Ra, Rq and Rz) prediction model using response surface methodology with Box–Cox transformation in turning of Titanium (Grade-II) under minimum quantity lubrication (MQL) conditions. This surface roughness model has been developed in terms of machining parameters such as cutting speed, feed rate and approach angle. Firstly, some experiments are designed and conducted to determine the optimal MQL parameters of lubricant flow rate, input pressure and compressed air flow rate. After analyzing the MQL parameter, the final experiments are performed with cubic boron nitride (CBN) tool to optimize the machining parameters for surface roughness values i. e., Ra, Rq and Rz using desirability analysis. The outcomes demonstrate that the feed rate is the most influencing factor in the surface roughness values as compared to cutting speed and approach angle. The predicted results are fairly close to experimental values and hence, the developed models using Box-Cox transformation can be used for prediction satisfactorily.


2020 ◽  
Vol 402 ◽  
pp. 125-130
Author(s):  
Muhammad Tadjuddin ◽  
Suhaeri ◽  
Muhammad Dirhamsyah ◽  
Aulia Udink ◽  
Fatur Rahmatsyah

The micro-drill is one of the manufacturing processes that is developing, especially in the electronics, aerospace, pharmaceutical, and automotive industries. This paper describes the results of the high-speed microdrill process in stainless steel. The drilling process is used to make the micro screen. The cutting tool material is tungsten carbide with a diameter of 0.2 mm. Drilling holes arranged in a honeycomb configuration. The machining parameters used are spindle speed of 20,000 rpm, 22,000 rpm, 24,000 rpm, and feed rate of 1 mm/min, 1.5 mm/min, 2 mm/min. Micro-drilling holes are visually analyzed using a Scanning Electron Microscope (SEM) to measure the accuracy of the hole dimensions. The results of the machining process found that the most significant deviation of the hole dimension size with a value of 0.276 mm occurred at a spindle speed of 20,000 rpm with a feed of 1 mm/min. While the deviation of the smallest hole size with a value of 0.2019 mm occurred at a spindle speed of 24,000 rpm with a feed of 2 mm/min, these results conclude that the accuracy of the hole dimensions will increase in proportion to the increase in spindle speed and feeding.


2019 ◽  
Vol 895 ◽  
pp. 127-133 ◽  
Author(s):  
C.J. Vishwas ◽  
M. Naik Gajanan ◽  
B. Sachin ◽  
Roy Abhinaba ◽  
N.P. Puneet ◽  
...  

Aluminum-based metal matrix composites (MMCs) have been suggested due to intense interest from automobile, marine, aerospace and other structural applications owing to their balanced mechanical, physical and chemical properties. MMCs are manufactured in order to meet present demand such as low material density, high mechanical strength and higher wear resistance of the component. Generally,MMCs tend to form rougher surface during machining because of the abrasive nature of hard ceramic particles present in them. Stir casting technique was used for fabrication of this composite which ensures better homogeneity.Furthermore, an attempt has been made in this paper to examine the results on the surface roughness of Al-6082/SiC metal matrix composites (containing 0%, 5% and 10% SiC particles).Focus was spent on parametric optimization of these composites in order to achieve cost-effective machining limits. The machining parameter studies have been carried out through the design of experiments (DoE) under minimum quantity lubrication (MQL) condition and effect of machining parameters such as spindle speed, feed rate and depth of cut on surface roughness was investigated to analyze the influence of reinforcement on surface roughness. In addition, analysis of variance was studied to obtain percentage contribution of machining parameters involved. Also, the surface morphology of the machined surface was studied through a scanning electron microscope (SEM). Distribution of SiC in aluminum alloy is fairly uniform with few clusters. Results of the experiments revealed that most significant turning parameter for surface roughness was spindle speed followed by feed rate and depth of cut. Furthermore, an optimal setting parameter for getting lower surface roughness was presented in confirmation table.


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