Knowledge of the performance of cutting fluids in machining different work materials is of critical importance in order to improve the efficiency of any machining process. The efficiency can be evaluated based on certain process parameters such as flank wear, surface roughness on the work piece, cutting forces developed, temperature developed at the tool chip interface, etc. The objective of this work is to determine the influence of cutting fluids on tool wear and surface roughness during turning of AISI 304 with carbide tool. Further an attempt has been made to identify the influence of coconut oil in reducing the tool wear and surface roughness during turning process. The performance of coconut oil is also being compared with another two cutting fluids namely an emulsion and a neat cutting oil (immiscible with water). The results indicated that in general, coconut oil performed better than the other two cutting fluids in reducing the tool wear and improving the surface finish. Coconut oil has been used as one of the cutting fluids in this work because of its thermal and oxidative stability which is being comparable to other vegetable-based cutting fluids used in the metal cutting industry. Â© 2008 Elsevier B.V. All rights reserved.

Anthony Xavior M

Department of Manufacturing Engineering

School of Mechanical Engineering

Vellore Campus

Adithan M.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Journal of Materials Processing Technology

In this work, currently used non-biodegradable mineral oil as a cutting fluid during machining is replaced with vegetable oil. In this work, duplex stainless steel is machined (turned) with the vegetable oils like coconut oil and neem oil. As a first step, vegetable oil based oil-in-water nano-emulsions were formulated using non-ionic surfactant (Tween-80) by ultrasonic emulsification method. In the second step, spindle speed, feed rate, depth of cut and type of cutting fluid are varied at three levels and Taguchi L27 machining experiments were performed. Measurement of surface roughness, tool wear and tool temperature were done as an output performance measure. From the results, it is evident that the order of influence for the improvement of tool wear and surface roughness are cutting fluid, feed rate and depth of cut respectively. © 2017 Elsevier Ltd. All rights reserved.

Materials Today: Proceedings

Improvement of Machinability Using Eco-Friendly Cutting Oil in Turning Duplex Stainless Steel

Prediction of Surface roughness plays a vital role in manufacturing process. In manufacturing industries, productions of metallic materials require high surface finish in various components. In the present work, the effect of spindle speed, feed rate, depth of cut and flank wear of the tool on the surface roughness has been studied. Carbide tipped insert was used for boring operation. Experiments were conducted in CNC lathe. The experimental setup was prepared with sixteen levels of cutting parameters and was conducted with two tool tip conditions in dry machining. A piezoelectric accelerometer was used to measure the vibrational signals while machining. The data acquisition card which connected between accelerometer and lab-view software to record the signals. Simple linear and least median regression models were used for prediction of surface roughness. The models were developed by weka analysis software. The best suitable regression model is implemented based on maximum correlation coefficient and the minimum error values.

Fulltext

Indian Journal of Science and Technology

Prediction of Surface Roughness Based on Machining Condition and Tool Condition in Boring Stainless Steel-304

Welding is one of the most popular methods of metal joining processes. The joining of the materials by welding provides a permanent joint of the components. The objective of this research is used to determine the influence of various welding parameters on the weld bead of AISI 316 welded joint. In this research work the ANOVA technique is used to identify the influence of the welding speed, current, electrode, root gap on the strength of the material. The result shows that speed is most influencing factor to have highest bend strength and current that is to be used while welding is the most influencing factor to get higher tensile strength. © 2014 Published by Elsevier Ltd.

Procedia Engineering

Optimization of 316 Stainless Steel Weld Joint Characteristics using Taguchi Technique

The wear of a cutting tool determines its life. Lesser the wear, more is the life of cutting tool and consequently the tool has to be replaced less frequently. This results in an increase in productivity of the machining operation, reduces manufacturing lead time and lowers the cost of production. Optimization of the process, use of cutting fluids for lubrication and hard coatings on the tool are the widely used methods to reduce tool wear. It has been recorded in previous studies that application of electric current to moving surfaces in contact, influences the wear of both the surfaces. The wear rate of the anodic surface was reduced and that of cathodic surface was increased. This paper attempts to study the effects of application of DC electric current on wear of turning insert during the turning operation of stainless steel 304 material. In the first phase of study, an L18 orthogonal array experiment was designed to study the effects of various factors (use of cutting fluid, polarity of cutting tool, applied voltage, cutting speed, feed and depth of cut) on insert wear and surface roughness of stainless steel 304 rod post machining. In the second phase of the experiment, the insert wear at different polarities were recorded at regular intervals of 70 mm cutting length while keeping the cutting parameters constant. Each cut was carried out for a total of 560 mm. The recorded readings are compared. © 2014 Published by Elsevier Ltd.

Experimental Study on the Effect of Electric Current Applied at the Interface of Cutting Tool and Workpiece for Turning Operation

Metal matrix composites have been developed and are being used across all segments of the industry due to its advantages of higher specific strength, Young's modulus and enhanced wear properties. However the development of MMC through powder processing poses problems in achieving the required interface strength and near theoretical density especially during sintering. This paper is intended to understand the influence of processing parameters on the mechanical properties like sintered density and micro hardness. It has been observed that the compacting pressure and reinforcement percentage have higher impact than the sintering temperature on microhardness and density. Further to evaluate the fracture resistance strength, sintered composites have been subjected to static ball indentation. It has been observed that higher reinforcement and compacting pressure enhance the failure load while sintering temperature and time exert constrained influence. © 2013 Elsevier B.V. All rights reserved.

Journal of Alloys and Compounds

Experimental evaluation of the influence of processing parameters on the mechanical properties of SiC particle reinforced AA6061 aluminium alloy matrix composite by powder processing

Journal	Data powered by TypesetJournal of Materials Processing Technology
Publisher	Data powered by TypesetElsevier BV
ISSN	0924-0136
Open Access	0