scholarly journals Study the Effect of Cutting Parameters on Temperature Distribution and Tool Life During Turning Stainless Steel 316L

2018 ◽  
Vol 14 (3) ◽  
pp. 112-122
Author(s):  
Ahmed A. Akbar ◽  
Raed R. Shwaish ◽  
Naba D. Hadi
Keyword(s):  
Stainless Steel ◽  
Temperature Distribution ◽  
Tool Life ◽  
Infrared Camera ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Stainless Steel 316L ◽  
Simulation Results ◽  
Carbide Inserts

This paper is focused on studying the effect of cutting parameters (spindle speed, feed and depth of cut) on the response (temperature and tool life) during turning process. The inserts used in this study are carbide inserts coated with TiAlN (Titanum, Aluminium and Nitride) for machining a shaft of stainless steel 316L. Finite difference method was used to find the temperature distribution. The experimental results were done using infrared camera while the simulation process was performed using Matlab software package. The results showed that the  maximum difference between the experimental and simulation results was equal to 19.3 , so, a good agreement between the experimental and simulation results  was achieved. Tool life was decreased when spindle speed and feed were increased.

The Optimization of Cutting Parameter of Machining the Small Diameter Deep Hole on Austenitic Stainless Steel

2010 ◽  
Vol 142 ◽  
pp. 103-106
Author(s):  
Zhi Rong Huang
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Objective Function ◽  
Tool Life ◽  
Small Diameter ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Twist Drill ◽  
Deep Hole ◽  
Cutting Parameter

In this paper, objective function for the highest productivity and longer life of the twist drill is built. Though using Materlab software to draw the curves of the changes of feed, spindle speed, tool life and productivity, a way to find the better cutting parameters of machining the small diameter deep hole on the SUS316 austenitic stainless steel with the twist drill is introduced. The better cutting parameters are obtained.

scholarly journals Pengaruh Parameter Pemotongan Pada Proses Bubut Ulir (Threading) Terhadap Kepresisian Geometri Ulir Magnesium Paduan AZ31

2019 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Gusri Akhyar Ibrahim ◽  
Alan Suseno ◽  
Arinal Hamni
Keyword(s):  
Stainless Steel ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Machining Process ◽  
Mg Alloy ◽  
Depth Of Cut ◽  
Biomedical Material ◽  
Pitch Error ◽  
Magnesium Az31 ◽  
Stainless Steel Screws

Magnesium telah dikembangkan dalam bidang kedokteran yaitu sebagai material untuk implan dalam tubuh. Hasil penelitian sebelumnya menunjukan bahwa faktor utamanya adalah sifat magnesium sangat mirip dengan sifat tulang manusia. Sekrup AZ31 menunjukkan kekuatan tarik keluar yang serupa dengan sekrup stainless steel saat ditarik dari bahan tulang sintetis, dan tingkat degradasi jenis sekrup Mg-alloy di ruang tulang sumsum dan otot lebih cepat daripada di ruang tulang kortikal. Hal ini menunjukan bahwa pembuatan ulir pada magnesium AZ31 sangat mendukung untuk diaplikasikan pada bidang material biomedic. Kepresisian geometri ulir akan memberikan pengaruh terhadap kwalitas ulir, terutama pada saat ulir bekerja bila sudah digunakan sebagai penyambung tulang. Untuk mengatasi masalah tersebut, dapat dilakukan variasi pada parameter proses pemesinan magnesium, yaitu parameter pemotongan pada saat pembubutan ulir untuk mendapatkan hasil yang paling baik akurasinya. Hasil penelitian menunjukan nilai kesalahan tinggi ulir minimum yaitu 0,018188 mm didapatkan pada parameter kecepatan spindel 424 rpm dan kedalaman potong 0,433015. Nilai kesalahan jarak puncak ulir (pitch) minimum yaitu 0,0205 mm didapatkan pada parameter kecepatan spindel 212 rpm dan kedalaman potong 0,649523 mm. Nilai kesalahan sudut minimum yaitu 0,603 didapatkan pada parameter kecepatan spindel 212 rpm dan kedalaman potong 0,324761 mm. Magnesium has been developed in the field of medic as a material for implants. The results of previous studies show that the main factor is the characteristic of magnesium very similar to the characteristic of human bones. AZ31 screws show outward tensile strength similar to stainless steel screws when pulled from synthetic bone material, and the degradation rate of Mg-alloy screw types in the marrow and muscle bone space is faster than in cortical bone space. This shows that the screw making on magnesium AZ31 is very possible to be applied in the biomedical material field.The precision of the screw geometry will have an effect on the quality of the thread, especially when the screw works when it has been used as a bone joint. To overcome this problem, variations in the machining process parameters are carried out, the cutting parameters at the time of screw turning to get the best accuracy results. The results showed that the minimum screw depth error value is 0.018188 mm, obtained at the spindle speed parameter of 424 rpm and depth of cut 0.433015 mm. The minimum pitch error value is 0.0205 mm obtained on the parameters of the spindle speed of 212 rpm and depth of cut 0.649523 mm. The minimum angle error value is 0.603 ° obtained in the parameters of the spindle speed 212 rpm and the depth of cut 0.324761 mm.

Studying The Effect of a New Mixed Cutting Fluid on Surface Roughness

2020 ◽  
Vol 38 (11A) ◽  
pp. 1593-1601
Author(s):  
Mohammed H. Shaker ◽  
Salah K. Jawad ◽  
Maan A. Tawfiq
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Cutting Parameters ◽  
Machining Process ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Cutting Fluids ◽  
Machining Processes ◽  
Dry Cutting ◽  
Cutting Speeds

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.

Prediction of Surface Roughness and Optimization of Cutting Parameters in CNC Turning of Rotational Features

2020 ◽  
Vol 38 (8A) ◽  
pp. 1143-1153
Author(s):  
Yousif K. Shounia ◽  
Tahseen F. Abbas ◽  
Raed R. Shwaish
Keyword(s):  
Surface Roughness ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Feed Rate ◽  
Cutting Parameters ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Non Linear ◽  
Optimization Of Cutting Parameters

This research presents a model for prediction surface roughness in terms of process parameters in turning aluminum alloy 1200. The geometry to be machined has four rotational features: straight, taper, convex and concave, while a design of experiments was created through the Taguchi L25 orthogonal array experiments in minitab17 three factors with five Levels depth of cut (0.04, 0.06, 0.08, 0.10 and 0.12) mm, spindle speed (1200, 1400, 1600, 1800 and 2000) r.p.m and feed rate (60, 70, 80, 90 and 100) mm/min. A multiple non-linear regression model has been used which is a set of statistical extrapolation processes to estimate the relationships input variables and output which the surface roughness which prediction outside the range of the data. According to the non-linear regression model, the optimum surface roughness can be obtained at 1800 rpm of spindle speed, feed-rate of 80 mm/min and depth of cut 0.04 mm then the best surface roughness comes out to be 0.04 μm at tapper feature at depth of cut 0.01 mm and same spindle speed and feed rate pervious which gives the error of 3.23% at evolution equation.

Effects of Insert Nose Radius and Processing Cutting Parameter on the Surface Roughness of Aisi 316 Stainless Steel

2010 ◽  
Vol 447-448 ◽  
pp. 51-54
Author(s):  
Mohd Fazuri Abdullah ◽  
Muhammad Ilman Hakimi Chua Abdullah ◽  
Abu Bakar Sulong ◽  
Jaharah A. Ghani
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Surface Finish ◽  
Feed Rate ◽  
Cutting Speed ◽  
Chip Thickness ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Nose Radius ◽  
Aisi 316

The effects of different cutting parameters, insert nose radius, cutting speed and feed rates on the surface quality of the stainless steel to be use in medical application. Stainless steel AISI 316 had been machined with three different nose radiuses (0.4 mm 0.8 mm, and 1.2mm), three different cutting speeds (100, 130, 170 m/min) and feed rates (0.1, 0.125, 0.16 mm/rev) while depth of cut keep constant at (0.4 mm). It is seen that the insert nose radius, feed rates, and cutting speed have different effect on the surface roughness. The minimum average surface roughness (0.225µm) has been measured using the nose radius insert (1.2 mm) at lowest feed rate (0.1 mm/rev). The highest surface roughness (1.838µm) has been measured with nose radius insert (0.4 mm) at highest feed rate (0.16 mm/rev). The analysis of ANOVA showed the cutting speed is not dominant in processing for the fine surface finish compared with feed rate and nose radius. Conclusion, surface roughness is decreasing with decreasing of the feed rate. High nose radius produce better surface finish than small nose radius because of the maximum uncut chip thickness decreases with increase of nose radius.

scholarly journals Surface roughness characterization of stainless steel after laser assisted machining

Mechanik ◽  
2019 ◽  
Vol 92 (12) ◽  
pp. 827-829 ◽  
Author(s):  
Agata Felusiak ◽  
Martyna Wiciak-Pikuła ◽  
Tadeusz Chwalczuk ◽  
Piotr Kieruj ◽  
Paweł Twardowski
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Cutting Parameters ◽  
Cemented Carbide ◽  
Roughness Parameters ◽  
Laser Assisted Machining ◽  
Carbide Inserts ◽  
Cemented Carbide Inserts

The paper presents the analysis of the influence of laser assisted machining (LAM) on various parameters of surface roughness of stainless steel. The tests were carried out for cemented carbide inserts with varying cutting parameters. In most cases, a significant reduction in the roughness parameters was observed using LAM.

Experimental study on cutting force in ultrasonic vibration-assisted turning of 304 austenitic stainless steel

2020 ◽  
pp. 095440542095712
Author(s):  
Yingshuai Xu ◽  
Zhihui Wan ◽  
Ping Zou ◽  
Weili Huang ◽  
Guoqing Zhang
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Cutting Force ◽  
Ultrasonic Vibration ◽  
Cutting Parameters ◽  
Relational Model ◽  
Depth Of Cut ◽  
Technological Parameters ◽  
High Efficient ◽  
304 Austenitic Stainless Steel

The generation mechanism of cutting force in ultrasonic vibration assisted turning (UAT), with the composition and decomposition of cutting force is discussed in this paper, and the model of cutting force in UAT is established based on the mechanism of UAT. The force measuring test system is designed on the basis of the established machining system of UAT. The contrast experiments for turning the workpiece of 304 austenitic stainless steel are conducted with and without ultrasonic vibration under different technological parameters. Furthermore, the relational model and correlation between technological parameters and cutting force is obtained by regression analysis and variance analysis. Thereby, the mutual relation among these technological parameters is effectively controlled, which contributes to achieving the high quality and high efficient processing. Simultaneously, the influences of single technological parameter with the interaction between technological parameters on cutting force are researched and analyzed. The results prove that the cutting force is reduced significantly with the aid of ultrasonic vibration in turning and the choice of the proper ultrasonic amplitude, there is an optimal range of ultrasonic amplitudes as well. Meanwhile, the cutting parameters have great influence on cutting force, among which depth of cut has the superior influence, then the cutting speed, and feed rate has the minimal influence. Moreover, cutting parameters should not be too large, UAT is mainly used for semi-finishing or finishing at medium-low speed. UAT will get more ideal machining effect if cutting parameters are chosen properly.

Identification of Optimum Heating Temperature in Thermal Assisted Turning of Stainless Steel Using Three Different Approaches

2013 ◽  
Vol 393 ◽  
pp. 194-199 ◽  
Author(s):  
A.K.M. Nurul Amin ◽  
Muammer Din Arif ◽  
Noor Hawa B. Mohamad Rasdi ◽  
Khairus Syakirah B. Mahmud ◽  
Abdul Hakam B. Ibrahim ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Heating Temperature ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
304 Stainless Steel ◽  
Depth Of Cut ◽  
Work Piece ◽  
Optimum Temperature ◽  
Main Concept

Thermal or heat assisted machining is used to machine hard and difficult-to-machine materials such as Inconel and Titanium alloys. The main concept is that localized surface heating of the work-piece reduces the yield strength of the material significantly, making it amenable to plastic deformation and machining. Thus, heat assisted machining has been used for over a century. However, the heating technique and temperature are very much dependent on the type of working material. Therefore, a multitude of heating techniques has been applied over the years including Laser Assisted Machining (LAM) and Plasma Enhanced Machining (PEM) in the industry. But such processes are very expensive and have not been found in wide scale applications. The authors of the current research have therefore looked into the application of a simple Tungsten Inert Gas (TIG) welding setup to perform heat assisted turning of AISI 304 Stainless Steel. Such welding equipment is relatively cheap and available. Also, stainless steel is perennially used in the industry for high strength applications. Hence, it is very important to determine with optimal cutting temperature when applying a TIG setup for heat assisted machining of stainless steel. This paper describes three separate techniques for determining the optimum temperature. All three processes applied the same experimental setup but used different variables for evaluating the best temperature. The first process used vibration amplitude reduction with increment in temperature to identify the desired temperature. The second process used chip shrinkage coefficient to locate the same temperature. And finally, the third process investigated tool wear as a criterion for determining the optimum temperature. In all three cases the three primary cutting parameters: cutting speed, feed, and depth of cut, were varied in the same pattern. The results obtained from all three approaches showed that 450oC was undoubtedly the best temperature for heat assisted machining of stainless steel.

scholarly journals Detection of Defects in Additively Manufactured Stainless Steel 316L with Compact Infrared Camera and Machine Learning Algorithms

JOM ◽  
2020 ◽  
Vol 72 (12) ◽  
pp. 4244-4253
Author(s):  
Xin Zhang ◽  
Jafar Saniie ◽  
Alexander Heifetz
Keyword(s):  
Machine Learning ◽  
Stainless Steel ◽  
Learning Algorithms ◽  
Infrared Camera ◽  
Machine Learning Algorithms ◽  
Stainless Steel 316L ◽  
Detection Of Defects

Wear Characteristic and Life of Al2O3/(W,Ti)C Ceramic Tool in Turning Iron-Based P/M Composites

2010 ◽  
Vol 26-28 ◽  
pp. 1052-1055
Author(s):  
Li Fa Han ◽  
Sheng Guan Qu
Keyword(s):  
Tool Wear ◽  
Tool Life ◽  
Empirical Model ◽  
Feed Rate ◽  
Flank Wear ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Ceramic Tool ◽  
Iron Based

The wear characteristics and life of Al2O3/(W,Ti)C ceramic tool in turning NbCp-reinforced iron-based P/M composites was investigated. Experimental results indicate that cutting parameters have an influence on tool wear, among which cutting speed and depth of cut seem to be more prominent. The maximum flank wear rapidly increases as the increase in cutting speed and depth of cut. While, it increases gradually as the decrease in feed rate. Meanwhile, an empirical model of tool life is established, from which the influence of cutting speed and depth of cut on tool life is far greater than that of feed rate. Also from the empirical model, the preferable range of cutting parameters was obtained.

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