scholarly journals Experiment to determine the specific heat of oils

2021 ◽  
Vol 5 (1) ◽  
pp. 47-52
Author(s):  
Viraja Deshpande ◽  
P. N. Jyothi

During machining process cutting fluids are used to minimize the heat that is developed between tool, work piece and the chip. Heat absorption capacity of any cutting fluid used is measured by specific heat. Higher the specific heat better will the heat absorption capacity. This paper discusses the experimental procedure used to measure the specific heat of Neem oil, Honge (Karanja), Sunflower oil and Petroleum based oil (Hydro 68). This experiment is a  function of temperature with respect to time. This method is validated by measuring the specific heat of distilled water, since the standard specific heat value of distilled water is known. The results show that Specific Heat of Neem Oil is good compared to Honge and sunflower Oil, but less compared to Petroleum oil (Hydro 68) which is used as cutting fluid for drilling operation in Industries after mixing with water.

2021 ◽  
Vol 9 (04) ◽  
pp. 223-235
Author(s):  
Rajeev Sharma ◽  
◽  
Binit Kumar Jha ◽  
Vipin Pahuja ◽  
◽  
...  

Todays, due to the environmental concerns, growing contamination and pollution regulations, the demand for renewable and biodegradable cutting fluids is increasing day by day. Environmental friendly machining is one of the latest approach which is economical and also eco-friendly that improve the machinability. Different types of environmental friendly machining techniques are available e.g. MQL machining, cryogenic machining, dry machining and high pressure cooling approach. In this article, an attempt is made regarding environmental friendly machining processing, including different types of cutting fluids and machining techniques. The Knowledge of cutting fluid and its processing conditions is of critically importance to maximize the efficiency of cutting fluids in any machining process. In general, the generation of heat in the cutting zone due to friction at the tool-chip interface and the friction between the safety surface of the tool and the work piece is always the deciding factor on the quality of the work piece surface. In any manufacturing industries or company two factors play important role in machinability and productivity e.g. surface quality and tool wear. The main objective of this review article that analysis the different environmental friendly machining techniques and encourages the cooling approach in metal cutting operation. So finally, after the literature survey found that environmental friendly machining approach is cost effective machining process and also eco-friendly machining process.


The global increasing alertness of the environmental and health problems linked to the use of mineral based metal cutting fluids in machining is lead industry to develop alternative fluid. The fluid should be environmentally friendly and sustainable like vegetable oil with suspended nanoparticle. The low thermal conductivity of cutting fluids of natural based oil requires the addition of nanoparticles. The most common nanoparticle that suitable to be added to cutting fluid are non-metals, carbide, oxide, Carbon Nano Tubes (CNTs) and metal nitrides. In this paper, a comparison had made of dry machining and machining with cutting coolant oil, sunflower oil+MoS2, Sunflower, oil Graphene. The study concludes that, the addition of such minerals to the cutting fluids increased the thermal conductivity of cutting fluids.


2019 ◽  
Vol 8 (2) ◽  
pp. 3328-3330

The importance of health and environment has forced Machining Industries to reduce the application of Petroleum-based cutting fluid. But to ease the machining process and to increase the tool life, cutting fluids must be used. Research has been done on vegetable oils as cutting fluids which is easy for disposal and does not affect the environment and the operator’s health [1] . This paper discusses the machinability and tool life during drilling of a mild steel work piece using Neem, Karanja, blends of 50%Neem-50%Karanja, 33.3%Neem-66.6%Karanja, 66.6%Neem-33.3%Karanja as cutting fluid. Results obtained using petroleum-based oil are compared with the results obtained by using above mentioned combination of oils and also with dry cutting conditions.


2021 ◽  
Vol 1019 ◽  
pp. 181-193
Author(s):  
Miriyala Veerabhadrarao ◽  
Bhushan T. Patil ◽  
Vasim A. Shaikh ◽  
D.S.S. Sudhakar

Study of input factors play a vital role in controlling of process responses such as surface finish, cutting temperature, energy consumption etc. in machining process. Design of Experiment (DOE) is one such tool used by researchers to identify the key factors and levels and optimize the process.An attempt was made to identify and experiment turning of AISI 4340 steel using 6 factors viz. cutting speed, feed rate, depth of cut, MQL nozzle orientations (distance from the cutting tool-chip interface, nozzle angle) and different cutting fluid (Coolant). The response variable selected for study was surface roughness of the work-piece which needed to fit criteria smaller-the-better. L25 Orthogonal Array-OA design was selected for 6 factors and 5 levels. Comparison of results of average responses of different levels of factors, analysis of variance (ANOVA) of the process is detailed. Experimental results showed that the key contributors in the turning process are due to cutting speed, feed and depth of cut covering from 12% to 40%. The major contributor to the process was the cutting speed. Selection of MQL fluids and nozzle orientation contributed to 10% showing least significance.This experiment helps us to understand the importance of machine cutting conditions as key success factors which can be assisted with MQL fluids and other input factors.


2020 ◽  
Vol 38 (11A) ◽  
pp. 1593-1601
Author(s):  
Mohammed H. Shaker ◽  
Salah K. Jawad ◽  
Maan A. Tawfiq

This research studied the influence of cutting fluids and cutting parameters on the surface roughness for stainless steel worked by turning machine in dry and wet cutting cases. The work was done with different cutting speeds, and feed rates with a fixed depth of cutting. During the machining process, heat was generated and effects of higher surface roughness of work material. In this study, the effects of some cutting fluids, and dry cutting on surface roughness have been examined in turning of AISI316 stainless steel material. Sodium Lauryl Ether Sulfate (SLES) instead of other soluble oils has been used and compared to dry machining processes. Experiments have been performed at four cutting speeds (60, 95, 155, 240) m/min, feed rates (0.065, 0.08, 0.096, 0.114) mm/rev. and constant depth of cut (0.5) mm. The amount of decrease in Ra after the used suggested mixture arrived at (0.21µm), while Ra exceeded (1µm) in case of soluble oils This means the suggested mixture gave the best results of lubricating properties than other cases.


2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena

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.


Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li

AbstractMechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.


2017 ◽  
Vol 130 (1) ◽  
pp. 479-484 ◽  
Author(s):  
M. M. Mato ◽  
L. M. Casás ◽  
J. L. Legido ◽  
C. Gómez ◽  
L. Mourelle ◽  
...  

2021 ◽  
Vol 15 (1) ◽  
pp. 7860-7873
Author(s):  
S. Dhanalakshmi ◽  
T. Rameshbabu

The choice of most appropriate cutting liquid in any machining process should be performed to attain maximum benefit. Selection of cutting fluid needs more than one dimension. For this purpose, many criteria should be deemed in the selection process.  In this study decision making methods such as AHP, TOPSIS and VIKOR are employed to select the suitable cutting fluid. AHP is used to compute the objective weights for the  criteria.The three alternatives considered are Ahonol- 7, Blaser and YBI. A case study of cutting fluid selection for machining LM 25 Aluminium alloy which finds application in automobile industries is presented to explain the applicability and suitability of the anticipated method. Ranking of alternatives in the above methods suggests Ahonol – 7 as the best cutting fluid for CNC turning LM 25 aluminium alloy.


2011 ◽  
Vol 66-68 ◽  
pp. 1163-1166
Author(s):  
Mao Jun Chen ◽  
Zhong Jin Ni ◽  
Liang Fang

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.


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