scholarly journals Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil

2021 ◽  
pp. 74-88
Author(s):  
Nguyen Thanh Cong ◽  
Pham Thi Thieu Thoa ◽  
Dung Hoang Tien
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Cutting Force ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Milling Process ◽  
Lubrication System ◽  
Flow Rates ◽  
Minimum Quantity ◽  
Response Optimization

This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586  and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining process

scholarly journals EXPERIMENTAL ANALYSIS AND OPTIMIZATION OF THE CONTROLLABLE PARAMETERS IN TURNING OF EN AW-2011 ALLOY; DRY MACHINING AND ALTERNATIVE COOLING TECHNIQUES

2020 ◽  
Vol 18 (1) ◽  
pp. 013
Author(s):  
Sonja Jozić ◽  
Ivana Dumanić ◽  
Dražen Bajić
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Dry Machining ◽  
Cold Air ◽  
Minimum Quantity

The latest trends in machining research show that great efforts are being made to understand the impact of different cooling and lubrication techniques as well as cutting parameters on machining performances. This paper presents the investigation results of different cutting parameters and different cutting environments such as dry machining, minimum quantity lubrication (MQL) and minimum quantity lubrication with compressed cold air (MQL+CCA) on average surface roughness, cutting force and material removal rate. The experiments were designed based on three input parameters and three different cutting environments when turning of EN AW-2011 alloy. Taguchi-based grey relational analysis was used to identify the optimal process parameters by which minimum values of surface roughness, minimum value of cutting force and maximum value of material removal rate will be achieved. The results showed that minimum quantity lubrication in the stream of compressed cold air, in comparison to dry and minimum quantity lubrication machining, gives the best machining performances. Therefore, the use of MQL + CCA method, which reduces the amount of lubricant may represent in the described extent of turning operations an alternative to turning processes most often carried out by wet method that causes considerable costs for purchasing, maintaining and using cutting fluids.

Model-based sensitivity analysis of machining-induced residual stress under minimum quantity lubrication

2015 ◽  
Vol 231 (9) ◽  
pp. 1528-1541 ◽  
Author(s):  
Xia Ji ◽  
Steven Y Liang
Keyword(s):  
Residual Stress ◽  
Sensitivity Analysis ◽  
Cutting Force ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Tool Geometry ◽  
Depth Of Cut ◽  
Mixture Ratio ◽  
Minimum Quantity

This article presents a sensitivity analysis of residual stress based on the verified residual stress prediction model. The machining-induced residual stress is developed as a function of cutting parameters, tool geometry, material properties, and lubrication conditions. Based on the residual stress predictive model, the main effects of the cutting force, cutting temperature, and residual stress are quantitatively analyzed through the cosine amplitude method. The parametric study is carried out to investigate the effects of minimum quantity lubrication parameters, cutting parameters, and tool geometry on the cutting performances. Results manifest that the cutting force and residual stress are more sensitive to the heat transfer coefficient and the depth of cut, while the cutting temperature is more sensitive to the cutting speed. Large maximum compressive residual stress is obtained under a lower flow rate of minimum quantity lubrication, small depth of cut, and the proper air–oil mixture ratio. This research can support the controlling and optimization of residual stress in industrial engineering by strategically adjusting the application parameters of minimum quantity lubrication.

Experimental Study on Micro End-Milling Process of Ti-6AL-4V Using Nanofluid Minimum Quantity Lubrication (MQL)

2014 ◽  
Author(s):  
Dae Hoon Kim ◽  
Pil-Ho Lee ◽  
Jung Sub Kim ◽  
Hyungpil Moon ◽  
Sang Won Lee
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
End Milling ◽  
Minimum Quantity Lubrication ◽  
Milling Process ◽  
Minimum Quantity ◽  
Nanofluid Minimum Quantity Lubrication ◽  
Micro End Milling ◽  
Milling Forces ◽  
End Milling Process

This paper investigates the characteristics of micro end-milling process of titanium alloy (Ti-6AL-4V) using nanofluid minimum quantity lubrication (MQL). A series of micro end-milling experiments are conducted in the meso-scale machine tool system, and milling forces, burr formations, surface roughness, and tool wear are observed and analyzed according to varying feed per tooth and lubrication conditions. The experimental results show that MQL and nanofluid MQL with nanodiamond particles can be effective to reduce milling forces, burrs and surface roughness during micro end-milling of titanium alloy. In particular, it is demonstrated that smaller size of nanodiamond particles — 35 nm — can be more effective to decrease burrs and surface roughness in the case of nanofluid MQL micro end-milling.

scholarly journals Effect of Minimum Quantity Lubrication System for Improving Surface Roughness in Turning Operation

2021 ◽  
Vol 6 (1) ◽  
pp. 50-59
Author(s):  
Shazzad Hossain ◽  
Mohammad Zoynal Abedin
Keyword(s):  
Surface Roughness ◽  
Minimum Quantity Lubrication ◽  
Numerical Data ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Turning Operation ◽  
Minimum Quantity ◽  
Dimensional Deviation ◽  
Optimum Cutting ◽  
Cutting Zone

Due to increase in temperature at the cutting zone, the tool wear and surface roughness along with the non-uniform chip formation and the dimensional deviation of the job by using the conventional cutting fluid, the machining operation experts have directed their concentrations in order to achieve a smooth machining operation by using minimum quantity lubrication (MQL). As a consequence, numerous efforts can be seen for not only having the optimum cutting parameters but also other parameters that enhance the product quality and the surface roughness. In this regard, relevant experimental and numerical data outcomes not only MQL but also conventional cutting fluid (CCF) in the turning operation of 50HRC steel has been investigated experimentally. It is revealed that the surface roughness becomes optimal and significantly reduced for the condition of MQL with that of dry and conventional flood lubrication.

scholarly journals Drilling of Ceramic Reinforced Aluminum Matrix Composite under Minimum Quantity Lubrication using Bio Cutting Fluid

2020 ◽  
Vol 9 (4) ◽  
pp. 3172-3178
Keyword(s):  
Surface Roughness ◽  
Matrix Composite ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Aluminium Matrix ◽  
Matrix Composites ◽  
Aluminium Matrix Composites ◽  
Minimum Quantity ◽  
Silicon Carbide Particulate

In this study an experimental investigation of effects of cutting parameters on surface roughness during drilling of silicon carbide particulate reinforced aluminium matrix composite material under minimum quantity lubrication (MQL) condition was carried out. Cutting speed , feed rate, flow rate and % SiC in aluminium matrix composites were chosen as cutting parameters. The experimental design adopted for this investigation was the central composite design of response surface methodology. Thirty one readings were taken on VMC machine for MQL condition and the surface roughness measured using Mitutoyo surface tester. Surface roughness values for MQL condition were lower with 30% SiC reinforced aluminium matrix composites when compared to 10 % and 20 % SiC reinforced aluminium matrix composites . As cutting speed increased Ra & Rz value also increased .% SiC was found most significant factor while drilling aluminium matrix composites.

Selection of Minimum Quantity Lubrication (MQL) Parameters in Milling of Ti-6Al-4V

2012 ◽  
Vol 426 ◽  
pp. 139-142 ◽  
Author(s):  
Zhi Qiang Liu ◽  
X.J. Cai ◽  
Ming Chen ◽  
Qing Long An
Keyword(s):  
Cutting Force ◽  
End Milling ◽  
Cutting Temperature ◽  
Minimum Quantity Lubrication ◽  
Milling Process ◽  
Minimum Quantity ◽  
Nozzle Position ◽  
Mql System ◽  
End Milling Process ◽  
Selection Of

Different parameters of Minimum Quantity Lubrication (MQL) system, including air pressure, oil quantity, nozzle position, might have different influences on the cutting force and the cutting temperature. This paper presents an experiment of end-milling titanium alloy with MQL system. The objective of the experiment is to investigate the influences of MQL parameters in milling of Ti-6Al-4V. The results of experiment show that there are different effects on the cutting force and the cutting temperature with different MQL parameters, which will help to select different parameters in the end-milling process of Ti-6Al-4V.

Machinability investigation and sustainability analysis of minimum quantity lubrication–assisted micro-milling process

2020 ◽  
Vol 234 (11) ◽  
pp. 1388-1401
Author(s):  
Xueming Yang ◽  
Xiang Cheng ◽  
Yang Li ◽  
Guangming Zheng ◽  
Rufeng Xu
Keyword(s):  
Tool Wear ◽  
Cutting Force ◽  
Sustainability Assessment ◽  
Minimum Quantity Lubrication ◽  
Production Quality ◽  
Milling Process ◽  
Micro Milling ◽  
Cutting Fluids ◽  
Thin Wall ◽  
Minimum Quantity

Machining conditions such as cutting fluids exert a crucial function in micro-milling, which removes chips from the cutting area and lubricates the interface between the tool and workpiece. Therefore, it is necessary to identify suitable cutting fluids for processing different materials. In this article, the effects of cutting fluids (dry, flood cooling, minimum quantity lubrication, and jet cold air) on tool wear, surface roughness, and cutting force were studied. The Pugh matrix environmental approach was used to compare different cutting fluids in terms of sustainable production. In addition, a curved thin wall was processed to demonstrate the value of minimum quantity lubrication in industry. The experimental results illustrated that the minimum quantity lubrication can not only effectively reduce tool wear and cutting force but also improve the finished surface quality. According to the sustainability assessment results, minimum quantity lubrication was superior to other cutting fluids in terms of environmental impact and production quality. The curved thin wall size error was only 2.25% under minimum quantity lubrication condition. This indicated minimum quantity lubrication was particularly suitable for micro-milling of H59 brass and 6061 aluminum compared to other cutting fluids.

scholarly journals RSM based expert system development for cutting force prediction during machining of Ti–6Al–4V under minimum quantity lubrication

2021 ◽  
Author(s):  
R. Shetty ◽  
C. R. Sanjeev Kumar ◽  
M. R. Ravindra
Keyword(s):  
Expert System ◽  
Cutting Force ◽  
Response Surface ◽  
System Development ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Extensive Literature ◽  
Cutting Force Prediction ◽  
Minimum Quantity ◽  
Cost Efficient

AbstractIn recent days the manufacturing process have become more precise and cost efficient due to advancement in the field of computer technology. Information technology has been integrated with manufacturing practice and has resulted in time reduction from concept of a product to marketing of the product. Cutting force generated is the main manufacturing issue raised among industries as it clearly affects quality and cost of the final product. Hence using extensive literature and data base knowledge optimum cutting parameters are selected. Therefore, this paper focuses on a response surface methodology (RSM) based expert system that has been developed using JAVA programming with the help of response surface second order model to automatically generate values of cutting force during machining of Ti–6Al–4V alloy under minimum quantity lubrication (MQL) for different process input parameters. From RSM it has been observed that calculated value of F (20.36) was greater than the F-table value (3.02) and hence the model developed can be effectively used for machining of Ti–6Al–4V alloy. Further the developed RSM based expert system model can be successfully used to predict the force generated during cutting process while machining Ti–6Al–4V alloy under MQL conditions.

Investigation of Machinability in Minimum Quantity Lubrication Milling of GH4169 Aerospace Superalloy

2010 ◽  
Vol 34-35 ◽  
pp. 666-670 ◽  
Author(s):  
Song Mei Yuan ◽  
Lu Tao Yan ◽  
Wei Dong Liu ◽  
Qiang Liu
Keyword(s):  
Cutting Force ◽  
Surface Finish ◽  
Cooling System ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Minimum Quantity ◽  
Cooling Method ◽  
Conventional Cooling ◽  
Cooling Air

Due to environmental concerns and the coming legislations, pollution-free and eco-friendly minimum quantity lubrication (MQL) technology has become focus of attention in manufacture field. The MQL and cooling system in this work has been designed, fabricated and used. The cutting performance of MQL with cooling air compare with the conventional cooling method in milling of GH4169 aerospace superalloy is evaluated based on analysis of cutting force and surface finish. The effect of cutting parameters (depth of cut, feed rate) on machining performances is analyzed. The experimental results show that, the application of MQL and cooling air brings about a lower cutting force, better surface finish compared to conventional coolant environment.

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