scholarly journals Penggunaan Minyak Alami dengan Minimum Quantity Lubrication terhadap Hasil Proses Bubut AA 6061

2021 ◽  
Vol 12 (1) ◽  
pp. 235
Author(s):  
Putu Hadi Setyarini ◽  
Khairul Anam ◽  
Muhammad Wahyudi
Keyword(s):  
Surface Roughness ◽  
Contact Area ◽  
Seed Oil ◽  
Coconut Oil ◽  
Minimum Quantity Lubrication ◽  
Depth Of Cut ◽  
Virgin Coconut Oil ◽  
Rubber Seed Oil ◽  
Natural Oil ◽  
Oil Sunflower

<p class="Abstract">Environmentally friendly lubricants are lubricants that are easily dissolved in the environment and are not harmful to the ecosystem. It uses to reduce the heat in the contact area so that the machinability of the workpiece and the ability of the chisel will increase. To minimize the use of bio-cutting fluids, lubrication is carried out by minimum drop lubrication in the lathe process. The purpose of this research is to comply with the surface roughness of the workpiece and the shape of the chip. The material used is aluminum 6061, the natural oil used are rubber seed oil, virgin coconut oil, sunflower seed oil, and castor oil. The turning parameters were the depth of cut 0.5 mm, spindle speed of 330 rpm, feed rate 0.231 mm/rev, tool angle 90o, drop lubrication 192 ml/hour, infeed length 100 mm. The results of the research showed that virgin coconut oil has the lowest surface roughness. This is because the viscosity value of virgin coconut oil is very small so that the flow rate is able to work perfectly to lubricate the contact area. It has a thin chip configuration, the tool also wears but did not experience cracks.</p>

scholarly journals Performance evaluation of rubber seed oil based cutting fluid in turning mild steel

2021 ◽  
Vol 40 (4) ◽  
pp. 648-659
Author(s):  
A.O. Osayi ◽  
S.A. Lawal ◽  
M.B. Ndaliman ◽  
J.B. Agboola
Keyword(s):  
Surface Roughness ◽  
Seed Oil ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Mineral Oil ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Rubber Seed Oil ◽  
Water Emulsion ◽  
Rubber Seed

Due to the negative effects associated with the wide use of mineral oil, the desire for eco-friendly cutting fluids as alternative to mineral oil has become a global issue. In this study, rubber seed oil was used to formulate oil-in-water emulsion cutting fluid. Full factorial design was used for the formulation of the oil-in-water emulsion cutting fluid. The optimal process parameters obtained were used for the formulation of the novel cutting fluid and the cutting fluid was characterised. The characteristics of the formulated cutting fluid shows viscosity of 4.25 mm2/s, pH value of 8.3, high stability and corrosion resistant. Box-Behnken design was used for the turning operation and the performance of the rubber seed oil cutting fluid was compared with mineral oil. The input parameters were cutting speed, feed rate and depth of cut, while the responses were surface roughness and cutting temperature. Coated carbide insert was used as cutting tool. The ANOVA results show that the feed rate had the most significant effect on the surface roughness and cutting temperature followed by the cutting speed and depth of cut during the turning process. It was observed that the rubber seed oil based cutting fluid reduced surface roughness and cutting temperature by 9.79% and 1.66% respectively and therefore, it can be concluded that the rubber seed oil based cutting fluid performed better than the mineral oil in turning of mild steel.

scholarly journals Experimental Investigation on Properties and Machining Performance of CNT Suspended Vegetable oil Nanofluids

2018 ◽  
Vol 15 (4) ◽  
pp. 5957-5975
Author(s):  
P. V. Krishna ◽  
R. R. Srikant ◽  
N. Parimala
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Cutting Forces ◽  
Microbial Contamination ◽  
Cutting Temperature ◽  
Coconut Oil ◽  
Minimum Quantity Lubrication ◽  
Depth Of Cut ◽  
Cutting Fluids ◽  
Machining Performance

This work is motivated by environmentally conscious machining and focus on the basic properties and applicability of nano cutting fluids in machining. Cutting fluids are formulated by dispersing carbon nanotubes (CNT) in coconut oil (CC) with varying percentage of nanoparticle inclusions (NPI). The properties such as density, heat transfer coefficient, dynamic viscosity and thermal conductivity are determined before their application. The formulated nanofluids are applied during machining through minimum quantity lubrication (MQL) technique. Microbial contamination and biodegradability tests are conducted to assess the quality of nanocutting fluids. Viscosity is found to decrease with increase in temperature where, as specific heat slightly decreased with an increase in NPI for CNT dispersed fluids. It is observed that nanofluids in MQL upshot in the reduction of cutting force, cutting temperature, tool wear and surface roughness. CNT dispersed cutting fluids at 0.5% NPI and speed of 60 m/min, 0.131 mm/rev feed and 0.5 mm depth of cut (DOC) shown better performance in the selected range of parameters. Machining performance is more influenced by the percentage of nanoparticles and then the depth of cut, speed and feed respectively. For the cutting conditions, the influence of DOC in obtaining minimum cutting forces and reducing cutting temperatures is found to be 85% and 45% respectively for nBA dispersed fluids. The extent of influence of %NPI is found to be 35.19% for CNT dispersed fluids to obtain reduced cutting forces, cutting temperatures, tool wear and surface roughness according to GRA analysis. Microbial contamination is observed to be the least for 0.5% NPI dispersed fluids. It is also identified that nano cutting fluids used in this work are biodegradable and biologically treatable for disposal as well.

scholarly journals THE AUTHENTICATION OF VIRGIN COCONUT OIL FROM GRAPE SEED OIL AND SOYBEAN OIL USING FTIR SPECTROSCOPY AND CHEMOMETRICS

2019 ◽  
pp. 259-263 ◽  
Author(s):  
ABDUL ROHMAN ◽  
YAAKOB BIN CHE MAN ◽  
MD. EAKUB ALI
Keyword(s):  
Soybean Oil ◽  
Ftir Spectroscopy ◽  
Seed Oil ◽  
Multivariate Calibration ◽  
Coconut Oil ◽  
Grape Seed ◽  
Mean Square ◽  
Virgin Coconut Oil ◽  
Grape Seed Oil

Objective: The objective of this study was to develop Fourier transform infrared (FTIR) spectroscopy in combination with chemometrics of multivariate calibration and discriminant analysis (DA) for the authentication of virgin coconut oil (VCO) from grape seed oil (GSO) and soybean oil (SO). Methods: FTIR spectra of VCO, GSO, SO and its binary mixture of VCO-SO, and VCO-GSO were scanned at mid-infrared region (4000-650 cm-1) using attenuated total reflectance technique. The wavenumbers were selected based on its capability to provide the best prediction models for quantification and classification of adulterants in VCO assisted by multivariate calibrations and DA, respectively. Results: The results showed that partial least square (PLS) calibration using absorbance values at combined wavenumbers of 1200-900 and 3027-2985 cm-1 revealed reliable method for quantification of GSO in VCO, as indicated by high value of coefficient of determination (R2) and low value of root mean square of calibration (RMSEC) and root mean square error of prediction (RMSEP). PLS using FTIR spectra at the combined wavenumbers of 1200-1000 and 3025-2995 cm-1 was suitable for quantitative analysis of SO in VCO. DAwas also successfully used for classification of VCO and VCO added with adulterants of GSO and SO. Conclusion: FTIR spectroscopy in combination with chemometrics of multivariate calibration and DA offered effective tools for the authentication of VCO

Study on Factors which Make CBN Insert can Turn S45C Steel Have Surface Roughness Less than Ra 0.4

2019 ◽  
Vol 805 ◽  
pp. 3-7
Author(s):  
Manus Sriswat ◽  
Kittipong Kimapong ◽  
Atthakorn Chanchana
Keyword(s):  
Surface Roughness ◽  
Contact Area ◽  
Cubic Boron Nitride ◽  
Cutting Speed ◽  
Medium Carbon Steel ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Standard Type ◽  
Good Surface ◽  
Cylindrical Parts

Grinding process is necessary final process of making cylindrical parts with less than Ra 0.4 surface roughness. Generally we cannot obtain good surface quality without grinding process. As the experience of the authors, using CBN (Cubic Boron Nitride) insert to turning cylindrical parts could be obtained Ra 0.438 surface roughness. The surface roughness result is similar to ground parts. This result becomes the main focus of the study. Authors study to find out factors affecting CBN performance in turning with CBN to obtain less than Ra 0.4 surface roughness. According to the study, it was found that tool contact area allied to surface roughness. The experiment is turning S45C medium carbon steel under the following condition: Cutting speed is 300 m./min, Feed is 0.05 mm./rev and depth of cut is 0.1 mm. Experiment under the same condition in different contact area. Modify contact area of CBN insert to be 5,10,15,20 and 25 mm. and testing in order. CBN insert standard type contact area is 0 mm. Compare test results of modified CBN inserts with standard type result. The results of experiments were as follows: 1) Turning steel with CBN contact area 10 mm. was obtained Ra 0.456 surface roughness, 2) Turning steel with CBN contact area 15 mm. was obtained Ra 0.293 surface roughness, Thus less than Ra 0.4 surface roughness.

EXPERIMENTAL INVESTIGATION OF COCONUT OIL WITH NANOBORIC ACID DURING MILLING OF INCONEL 625 USING TAGUCHI-GREY RELATIONAL ANALYSIS

2020 ◽  
pp. 2150008
Author(s):  
T. MOHANRAJ ◽  
P. RAGAV ◽  
E. S. GOKUL ◽  
P. SENTHIL ◽  
K. S. RAGHUL ANANDH
Keyword(s):  
Surface Roughness ◽  
Grey Relational Analysis ◽  
Flank Wear ◽  
Coconut Oil ◽  
Inconel 625 ◽  
Depth Of Cut ◽  
Individual Response ◽  
Relational Analysis ◽  
Grey Relational ◽  
Taguchi’S Design Of Experiments

This study is based on Taguchi’s design of experiments along with grey relational analysis (GRA) to optimize the milling parameters to minimize surface roughness, tool wear, and vibration during machining of Inconel-625 while using coconut oil as cutting fluid (CF). The experiments were conducted based on Taguchi’s L9 orthogonal array (OA). Taguchi’s S/N was used for identifying the optimal cutting parameter for individual response. Analysis of variance (ANOVA) was employed to analyze the outcome of individual parameters on responses. The surface roughness was mostly influenced by feed. Flank wear was influenced by speed and the vibration was mostly influenced by the depth of cut as well as speed. The multi-response optimization was done through GRA. From GRA, the optimal parameters were identified. Further, nanoboric acid of 0.5 and 0.9[Formula: see text]wt.% was mixed with coconut oil to enhance lubricant properties. Coconut oil with 0.5[Formula: see text]wt.% of nanoboric acid minimizes the surface roughness and flank wear by 3.92% and 6.28% and reduces the vibration in the [Formula: see text]-axis by 4.85%. The coconut oil with 0.5[Formula: see text]wt.% of nanoboric acid performs better than coconut oil with 0.9[Formula: see text]wt.% of nano boric acid and base oil.

Modelling and Optimization of Tool Chip Interface Temperature and Surface Roughness in CNC Dry Turning of EN 24 Steel

2016 ◽  
Vol 16 ◽  
pp. 7-15 ◽  
Author(s):  
Nirmal Kumar Mandal ◽  
Tanmoy Roy
Keyword(s):  
Surface Roughness ◽  
Cutting Tool ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Machining Process ◽  
Interface Temperature ◽  
Depth Of Cut ◽  
Work Piece ◽  
Substantial Impact

Abstract. Kinetic energy of a machining process is converted into heat energy. The generated heat at cutting tool and work piece interface has substantial impact on cutting tool life and quality of the work piece. On the other hand, development of advanced cutting tool materials, coatings and designs, along with a variety of strategies for lubrication, cooling and chip removal, make it possible to achieve the same or better surface quality with dry or Minimum Quantity Lubrication (MQL) machining than traditional wet machining. In addition, dry and MQL machining is more economical and environment friendly. In this work, 20 no. of experiments were carried out under dry machining conditions with different combinations of cutting speed, feed rate and depth of cut and corresponding cutting temperature and surface roughness are measured. The no. of experiments is determined through Design of Experiments (DOE). Nonlinear regression methodology is used to model the process using Response Surface Methodology (RSM). Multi-objective optimization is carried using Genetic Algorithm which ensures high productivity with good product quality.

Application of tri-hybridized carbonaceous nanocutting fluids in an end milling operation by the minimum quantity lubrication technique

2021 ◽  
pp. 135065012110438
Author(s):  
S. Vignesh ◽  
U. Mohammed Iqbal
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
End Milling ◽  
Hexagonal Boron Nitride ◽  
Coconut Oil ◽  
Minimum Quantity Lubrication ◽  
Work Piece ◽  
Cutting Fluids ◽  
Minimum Quantity ◽  
Milling Operations

This paper is concentrated on the exploration of carbonaceous nanocutting fluids with the concept of tri-hybridization with improved lubricative and cooling properties by using multi-walled carbon nanotubes, hexagonal boron nitride , and graphene nanoparticles with neat cold-pressed coconut oil in a fixed volumetric proportion. The rheological properties of the nanofluids were studied to assess their performance in real-time end milling operations using an AA7075 work piece on a CNC lathe machine under a minimum quantity lubrication environment. At the outset, the carbonaceous nanofluids gave good performance when compared to conventional cutting fluids. Furthermore, the surfaces of the tribo-pairs and the chips formed were analyzed using a profilometer and high-end microscopes. The results obtained from the experiments confirm that the tri-hybridized carbonaceous nanolubricant has reduced the cutting force, tool wear, and surface roughness when correlated to monotype nanofluids. The scanning electron microscope images of the surface and tool were studied and it was found that the surface quality was maintained while end milling with tri-hybridized carbonaceous nanofluid. Improvement of ∼17%, 20% and 25% in cutting forces, surface roughness and tool wear was found in tri-hybrid fluid when compared to other fluids. Thus, the present work indicates that the addition of carbon-based nanoparticles with coconut oil has offered better performance and is found to be a credible alternative to existing conventional cutting fluids.

scholarly journals Effect of Minimum Quantity Lubrication on Surface Roughness and Temperature in Milling of EN31 Steel for Die Making

2019 ◽  
Vol 69 (1) ◽  
pp. 61-68
Author(s):  
Bhosetty Keerthana ◽  
Gurram Vijaya Kumar ◽  
Kumba Anand Babu
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Optimization Technique ◽  
Tool Material ◽  
Minimum Quantity Lubrication ◽  
Depth Of Cut ◽  
Swarm Optimization ◽  
Minimum Quantity ◽  
Particle Swarm Optimization Technique

AbstractMinimum Quantity Lubrication has enormous influence on the process parameters in machining. The main aim of the present work is to study the effects of spindle speed, depth of cut, tool material, amount of coolant dispensed and type of coolant on surface roughness and tool temperature in EN31 steel die making including Minimum Quantity Lubrication (MQL) by introducing a self-designed MQL setup and to optimize the responses using fuzzy-logic and Particle Swarm Optimization technique.

scholarly journals Pengaruh Metode Minimum Quantity Lubrication (MQL) Terhadap Nilai Kekasaran Permukaan

Rekayasa ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 125-129
Author(s):  
Dicky Aprilian Nugraha ◽  
Rika Dwi Hidayatul Qoryah ◽  
Mahros Darsin
Keyword(s):  
Surface Roughness ◽  
Minimum Quantity Lubrication ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Fluid Composition ◽  
Machined Surface ◽  
Minimum Quantity ◽  
Flood Depth ◽  
Roughness Analysis ◽  
Machined Surface Roughness

Sebuah alat kendali semprotan cutting fluid pada minimum quantity lubrication (MQL) telah berhasil dibuat. Alat yang bekerja dengan sistem Arduino ini dihubungkan dengan sensor suhu yang diletakkan pada sisi pahat dan berhasil mengendalikan kapan cutting fluid harus disemprotkan dan kapan harus berhenti. Tujuan dari penelitian ini adalah untuk mempelajari efek penggunaan alat kendali ini terhadap kekasaran permukaan pada pembubutan baja AISI 4340. Metode Taguchi L9 digunakan untuk menyusun desain eksperimen dengan variasi parameter: metode pemberian cutting fluid, kedalaman permukaan dan komposisi campuran cutting fluid. Pahat sisipan berbahan karbida digunakan untuk memesin lurus dan roughness tester digunakan untuk mengukur kekesaran permukaan hasil pembubutan. Analisis S/N ratio dilanjutkan dengan analisis varians (ANAVA) membuktikan bahwa metode MQL yang dilengkapi sistem kendali ini mampu menghasilkan rata-rata permukaan paling halus dibandingkan metode lain. Nilai kekasaran optimum sebesar 1,941 µm diperoleh pada kombinasi permesinan dengan MQL dengan sistem kendali, depth of cut 2,0 mm, dan komposisi air terhadap minyak pada cutting fluid 7:3Effect of Minimum Quantity Lubrication (MQL) Method on Surface RoughnessA device to control the spraying of cutting fluid in minimum quantity lubrication (MQL) has been initiated. This device was programmed with Ardunio and connected to a thermal sensor which is stick on the flank face of the tool. It succeeded in controlling when the cutting fluid should be sprayed and stopped. This research aim is to investigate the effect of using this device to the machined surface roughness. The Taguchi method L9 was used for designing the experiments. Variations were made on the method of applying cutting flood, depth of cut, and cutting fluid composition. Carbide insert tools were used and roughness tester was employed to measure the machined surface roughness. Analysis of S/N ratio following with analysis of variance (ANOVA) revealed that the controlled MQL cooling application results in the minimum surface roughness. The optimum surface roughness would be achieved when using MQL with temperature controller, depth of cut of 2.0 mm, and composition between water and oil for cutting fluid of 7:3.

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