Comparison of minimum quantity lubrication and wet milling based on energy consumption modeling

2021 ◽  
pp. 095440892110144
Author(s):  
Masuod Bayat ◽  
Mohammad Mahdi Abootorabi
Keyword(s):  
Energy Consumption ◽  
Manufacturing Industry ◽  
Minimum Quantity Lubrication ◽  
Milling Process ◽  
Numerical Control ◽  
Machining Process ◽  
Wet Milling ◽  
Total Energy Consumption ◽  
Minimum Quantity ◽  
Energy Consumption Modeling

Estimating the energy consumed by machining process is substantial because it has a large share of environmental effects in the manufacturing industry. In this paper, a generic energy consumption model was developed for milling processes that is able to be applied in all milling machine tools. Energy consumption of each segment was estimated according to power characteristics and parameters extracted from numerical control (NC) codes, then the total energy consumption was estimated by adding energy consumption of the machine components. Energy consumption of milling process was measured and compared in conventional (wet) and minimum quantity lubrication (MQL) conditions. The developed method was verified by comparing the estimated values of energy consumption with experimental results. Various studies have suggested different types of energy consumption modeling with machining, however; only a few studies have focused on the use of these modeling techniques. Thus, the MQL method has been rarely compared with the wet milling in terms of energy consumption. In the proposed model, energy consumption for workpiece adjustment, accounting for a major part of the costs in machining economics was considered for the first time. The results showed that the proposed method is efficient and practical for predicting energy consumption, with the possibility of occurring 5% error. Analysis of the results revealed that using the MQL method in milling process leads to 33% lower power consumption than wet milling and therefore, the MQL method can reduce the cost of production.

scholarly journals Experimental Examination of Tool Wear During Turning of Ti-Grade 2 Alloy in Dry and Minimum Quantity Lubrication (MQL)

2019 ◽  
Vol 8 (12) ◽  
pp. 4768-4771
Keyword(s):  
Tool Wear ◽  
Tungsten Carbide ◽  
Manufacturing Industry ◽  
Wear Behavior ◽  
Minimum Quantity Lubrication ◽  
Machining Process ◽  
Depth Of Cut ◽  
Experimental Examination ◽  
Machine Material ◽  
Minimum Quantity

In any manufacturing industry cost and productivity are the major concerns to be taken care. There are several factors which can be used to control these factors and while it comes to machining tool wear plays a major role in deciding the productivity and cost of the machining process. Recently many studies have been done on the different alloys of titanium and it is found to be very useful and difficult to machine material as well. In this work turning of one of the titanium alloys is used to study the tool wear behavior during dry and minimum quantity lubrication (MQL) machining conditions. In the current work tungsten carbide (WC) insert is used for machining process. After the machining Taguchi’s analysis is used to analyze the results obtained after the machining. In this work spindle speed, feed, and depth of cut are taken as the input parameters along with the machining condition. From the results it is found that MQL provides the better results to minimize the tool wear

A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena
Keyword(s):  
Descriptive Analysis ◽  
Minimum Quantity Lubrication ◽  
Citation Network ◽  
Machining Process ◽  
Cutting Fluid ◽  
Future Research ◽  
Research Directions ◽  
Minimum Quantity ◽  
Research Areas ◽  
Future Research Directions

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.

scholarly journals Automatic Temperature Measurement and Monitoring System for Milling Process of AA6041 Aluminum Aloy using MLX90614 Infrared Thermometer Sensor with Arduino

2021 ◽  
Vol 82 (2) ◽  
pp. 1-14
Author(s):  
Agus Sudianto ◽  
Zamberi Jamaludin ◽  
Azrul Azwan Abdul Rahman ◽  
Sentot Novianto ◽  
Fajar Muharrom
Keyword(s):  
Aluminum Alloy ◽  
Temperature Measurement ◽  
Monitoring System ◽  
Measurement System ◽  
Manufacturing Process ◽  
Milling Process ◽  
Numerical Control ◽  
Machining Process ◽  
Infrared Thermometer ◽  
Temperature Measurement System

Manufacturing process of metal part requires real-time temperature monitoring capability to ensure high surface integrity is upheld throughout the machining process. A smart temperature measurement and monitoring system for manufacturing process of metal parts is necessary to meet quality and productivity requirements. A smart temperature measurement can be applied in machining processes of conventional, non-conventional and computer numerical control (CNC) machines. Currently, an infrared fusion based thermometer Fluke Ti400 was employed for temperature measurement in a machining process. However, measured temperature in the form of data list with adjustable time range setting is not automatically linked to the computer for continuous monitoring and data analysis purposes. For this reason, a smart temperature measurement system was developed for a CNC milling operation on aluminum alloy (AA6041) using a MLX90614 infrared thermometer sensor operated by Arduino. The system enables data linkages with the computer because MLX90614 is compatible and linked to Microsoft Exel via the Arduino. This paper presents a work-study on the performance of this Arduino based temperature measurement system for dry milling process application. Here, the Arduino based temperature measurement system captured the workpiece temperature during machining of Aluminum Alloy (AA6041) and data were compared with the Fluke Ti400 infrared thermometer. Measurement results from both devices showed similar accuracy level with a deviation of ± 2 oC. Hence, a smart temperature measurement system was succeesfully developed expanding the scopes of current system setup.

Performance of Low Cost 3D Printed Minimum Quantity Lubrication Applicator Using Palm Oil in Milling Steel

2020 ◽  
Vol 997 ◽  
pp. 85-92
Author(s):  
Abang Mohammad Nizam Abang Kamaruddin ◽  
Abdullah Yassin ◽  
Shahrol Mohamaddan ◽  
Syaiful Anwar Rajaie ◽  
Muhammad Isyraf Mazlan ◽  
...  
Keyword(s):  
Tool Wear ◽  
Cutting Forces ◽  
Cutting Tool ◽  
Low Cost ◽  
Minimum Quantity Lubrication ◽  
Machining Process ◽  
Cutting Condition ◽  
Dry Cutting ◽  
Minimum Quantity ◽  
Tool Performance

One of the most significant factors in machining process or metal cutting is the cutting tool performance. The rapid wear rate of cutting tools and cutting forces expend due to high cutting temperature is a critical problem to be solved in high-speed machining process, milling. Near-dry machining such as minimum quantity lubrication (MQL) is regarded as one of the solutions to solve this problem. However, the function of MQL in milling process is still uncertain so far which prevents MQL from widely being utilized in this specific machining process. In this paper, the mechanism of cutting tool performance such as tool wear and cutting forces in MQL assisted milling is investigated more comprehensively and the results are compared in three different cutting conditions which is dry cutting, wet cutting (flooding) and MQL. The MQL applicator is constructed from a household grade low-cost 3D printing technique. The chips surface of chips formation in each cutting condition is also observed using Scanning Electron Microscopy (SEM) machine. It is found out that wet cutting (flooding) is the best cutting performance compare to MQL and dry cutting. However, it can also be said that wet cutting and MQL produced almost the same value of tool wear and cutting forces as there is negligible differences in average tool wear and cutting forces between them based on the experiment conducted.

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.

Experimental Results on Lamellar-Type Solid Lubricants in Enhancing Minimum Quantity Lubrication Machining

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Trung Kien Nguyen ◽  
Kyung-Hee Park ◽  
Patrick Y. Kwon
Keyword(s):  
Vegetable Oil ◽  
Solid Lubricant ◽  
Minimum Quantity Lubrication ◽  
Solid Lubricants ◽  
Machining Process ◽  
Minimum Quantity ◽  
Aspect Ratios ◽  
Significant Difference ◽  
1045 Steel ◽  
Lamellar Type

This paper studies the effect of various lamellar-type solid lubricants (graphite and hBN) that can be mixed into a lubricant to potentially improve the machinability of minimum quantity lubrication (MQL) machining. To examine this, the solid lubricants are classified into particles and platelets based on their aspect ratios as well as their respective sizes. In particular, the particles are classified into microparticles and nanoparticles based on their dimensions (average radius), while the platelets were classified, based on their average thickness, into two types: the “microplatelets” if the thickness is typically up to few tens of microns and the “nanoplatelets” if the thickness is well below a tenth of a micron (even down to few nanometers). Our previous work has shown that the mixture of an extremely small amount (about 0.1 wt. %) of the graphitic nanoplatelets and vegetable oil immensely enhanced the machinability of MQL machining. In this paper, many lubricants, each mixed with a particular variety of nano- or micro-platelets or one type of nanoparticles, were studied to reveal the effect of each solid lubricant on MQL machining. Prior to the MQL machining experiment, the tribological test was conducted to show that the nanoplatelets are overall more effective than the microplatelets and nanoparticles in minimizing wear despite of no significant difference in friction compared to pure vegetable oil. Consequently, the MQL ball-milling experiment was conducted with AISI 1045 steel yielding a similar trend. Surprisingly, the oil mixtures with the microplatelets increased flank wear, even compared to the pure oil lubricant when the tools with the smooth surface were used. Thus, the nanoscale thickness of these platelets is a critical requirement for the solid lubricants in enhancing the MQL machining process. However, maintaining the nanoscale thickness is not critical with the tools with the rough surfaces in enhancing the MQL process. Therefore, it is concluded that finding an optimum solid lubricant depends on not only the characteristics (material as well as morphology) of solid lubricants but also the characteristic of tool surface.

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