scholarly journals Optimization on Operation Parameters in Reinforced Metal Matrix of AA6066 Composite with HSS and Cu

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Y. Sesharao ◽  
T. Sathish ◽  
Kumaran Palani ◽  
Anjibabu Merneedi ◽  
Natrayan L ◽  
...  

This optimization investigation focused on the reinforced metal matrix composite of aluminium alloy. Novel of this work is to fabricate the AA6066 composite with HSS and Cu, continually conduct machining tests, and evaluate the tool wear, surface roughness, and thrust force of the stir-casted specimens. The aluminium composite has 90 percentage of AA6066 alloy reinforcement with six percentage of high-speed steel and four percentage of copper alloy made by the casting method. The fabricated composites’ turning parameters were optimized through the Taguchi method. The turning operation can be done with the help of the normal lathe with the CBN insert tool. The operation parameters such as feed, depth of cut, and steam pressure of the cutting fluid were considered with three different equal intervals in each parameter. In this investigation, the L9 orthogonal array method is used to identify the optimum values of the turning parameters among the considered machining parameters concerning the response such as wear on the turning tool and thrust forces created on machining. The outcome based on the parameters was identified and mentioned as the rank order for individual and combination of all responses with different conditions. Then, the separate and combined optimized input parameters were provided as the conclusion.

Author(s):  
Lakhwinder Pal Singh ◽  
Jagtar Singh

In the field of mechanical engineering, engineers are always looking for ways to improve the properties of materials. Cryogenic treatment of tooling steels is a proven technology to increase wear resistance and extend intervals between component replacements. The main idea of this paper is to apply Taguchi method to optimize cutting parameters in turning operation using cryogenic treated (CT) and untreated (UT) high speed steel (HSS) tools, so that the scope of cryogenic treatment on HSS tool material may be presented for the benefit of medium and small scale industry using HSS tools for cutting operation. Taguchi L25 orthogonal array is employed to study the performance characteristics in turning operations of AISI 1020 steel bars using CT and UT HSS tools. The microstructure has been found more refined and uniformly distributed after cryogenic treatment of HSS tool. It has been observed that optimum machining parameters in both the cases (CT HSS and UT HSS tools) are higher cutting speed (49.9 to 75.7 m/min.), lower feed rate (0.15 mm/rev.), medium depth of cut (0.40 mm). Analysis of variance (ANOVA) indicates that the cutting speed is most significant parameter followed by feed rate in case of CT HSS tool and depth of cut in case of UT HSS tool.


2010 ◽  
Vol 636-637 ◽  
pp. 171-176 ◽  
Author(s):  
Adel M. Hassan ◽  
Mohammad Hayajneh ◽  
M.K. Al-Mahasneh

Aluminium-4%wt Magnesium-Alumina-Graphite particulate metal matrix composites, with different percentage weights of alumina and graphite particles, were produced by the process of compo-casting. The method of casting has been briefly described in the present study. The magnesium was added to the aluminium as wetting agent to enhance the bond between the matrix (aluminium) and the reinforcement particles (alumina and graphite). Machinability of the considered composites was indicated by the values of the drilling thrust forces and torques, using a moderate speed drilling machine. The cutting tools were made of high speed steel, while the other cutting parameters were held constant during the drilling process. The results showed that the change in the volume percentage of both alumina and graphite particles have remarkable effect on the measured drilling thrust forces and torques, which in turn affect the machinability of the studied particulate metal matrix composites.


2021 ◽  
Vol 27 (2) ◽  
pp. 73-80
Author(s):  
Ramiz Kurbegovic ◽  
Mileta Janjic

Abrasive water jet machining is a very efficient unconventional method for contour cutting of different types of materials. As one of the main characteristics of the quality of surfaces machined with this method is curved lines that appear during machining. These lines are a consequence of the deviation of the abrasive water jet from its ideal vertical line, jet lagging, which are the cause of machining errors. The aim of this work is to investigate the influence of machining parameters on jet lagging. The samples of high-speed steel EN HS6-5-2 (JUS c.7680) were machined with an abrasive water jet under varying working pressure, traverse speed, abrasive mass flow rate, and stand-off distance. The jet lagging was measured at twenty places along with the depth of cut, and based on these results, the relationship between the jet lagging and machining parameters has been formed. In order to correctly select the process parameters, an empirical model for the prediction of jet lagging in abrasive waterjet cutting of high-speed steel EN HS6-5-2 was developed using regression analysis. This developed model has been verified with the experimental results that reveal high applicability of the model within the experimental range used.


2019 ◽  
Vol 8 (2) ◽  
pp. 5682-5686

In this research a detailed study is carried out on machining parameters for turning operation on aluminium 7075 with high speed steel. This grade of aluminium is known for its applications in aerospace industry and research about its machining parameters will lead to more developments in the field of production. Aim of this work is to optimize turning operation. Machining parameters viz. speed, feed and depth of cut are taken as input parameters. Material removal rate (MRR), tool wear (TWR), surface roughness (SR) are taken as output parameters and the set of optimized parameters means reduction in total production cost. The experiments are planned using Taguchi’s L9 orthogonal array. Grey relational analysis (GRA) is used for multi objective optimization using grey relational grades. Application of analysis of variance(ANOVA) helps in the identification of most prominent parameters among speed, feed and depth of cut


2014 ◽  
Vol 590 ◽  
pp. 294-298
Author(s):  
Pichai Janmanee ◽  
Somchai Wonthaisong ◽  
Dollathum Araganont

In this study, effect of machining parameters and wear mechanism in milling process of mold steel AISI-P20 and AISI-1050, using 10 mm twin flute type end mill diameter. The experimental results found that characteristics of milling surfaces and wear of the mill end were directly influenced by changes of parameters for all test conditions. As a result, the quality of milling surfaces also changed. However, mould steels which had the good quality surface is AISI-1050, with roughnesses of 2.120 μm. Quality milling surfaces were milled by using the most suitable parameter feed rate of 45 mm/min, a spindle speed of 637 rpm and a cut depth level of 3 mm, for both grades. Moreover, material removal rate and duration of the milling process, the milling end mills affect wear of the edge in every bite when the feed rate is low, high speed and level depth of cut at least. It was found that limited wear less will affect the surface roughness (Ra) represents the good quality surface.


2016 ◽  
Vol 689 ◽  
pp. 7-11 ◽  
Author(s):  
Y. Şahin ◽  
Senai Yalcinkaya

The selection of optimum machining parameters plays a significant role for the quality characteristics of products and its costs for grinding. This study describes the optimization of the grinding process for an optimal parametric combination to yield a surface roughness using the Taguchi method. An orthogonal array and analysis of variance are employed to investigate the effects of cutting environment (A), depth of cut (B) and feed rate (C) on the surface roughness characteristics of mold steels. Confirmation experiments were conducted to verify the optimal testing parameters. The experimental results indicated that the surface finish decreased with cutting-fluid and depth of cut, but decreased with increasing feed rate. It is revealed that the cutting fluid environment had highest physical as well as statistical influence on the surface roughness (71.38%), followed by depth of cut (25.54%), but the least effect was exhibited by feed rate (1.62%).


2019 ◽  
Vol 130 ◽  
pp. 01031 ◽  
Author(s):  
The Jaya Suteja ◽  
Yon Haryono ◽  
Andri Harianto ◽  
Esti Rinawiyanti

Polyacetal is commonly used as bushing material because of its low coefficient of friction and self lubricant characteristics. The polyacetal is machined by using boring process to produce bushing in certain surface roughness. The objectives of this research are to optimize three independent parameters (depth of cut, feed rate and principal cutting edge angle) of boring process of polyacetal using high speed steel tool to achieve the highest material removal rate and the required surface roughness. Response Surface Methodology is used to investigate the influence of the parameters and optimize the boring process. The research shows that the influence of the boring process parameters on polyacetal is similar compared to on metal. The result reveals that the optimum result is achieved by applying the value of depth of cut, feed rate, and principal cutting edge angle is 2.9 × 10–3 m, 0.229 mm rev–1, and 99.1° respectively. By applying these values, the maximum material rate removal achieved in this research is 1263.4 mm3 s–1 and the surface roughness achieved is 1.57 × 10–6 m.


2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985318
Author(s):  
Amon Gasagara ◽  
Wuyin Jin ◽  
Angelique Uwimbabazi

In this article, a new model of regenerative vibrations due to the deflection of the cutting tool in turning is proposed. The previous study reported chatter as a result of cutting a wavy surface of the previous cut. The proposed model takes into account cutting forces as the main factor of tool deflection. A cantilever beam model is used to establish a numerical model of the tool deflection. Three-dimensional finite element method is used to estimate the tool permissible deflection under the action of the cutting load. To analyze the system dynamic behavior, 1-degree-of-freedom model is used. MATLAB is used to compute the system time series from the initial value using fourth-order Runge–Kutta numerical integration. A straight hard turning with minimal fluid application experiment is used to obtain cutting forces under stable and chatter conditions. A single-point cutting tool made from high-speed steel is used for cutting. Experiment results showed that for the cutting parameters above 0.1mm/rev feed and [Formula: see text]mm depth of cut, the system develops fluctuations and higher chatter vibration frequency. Dynamic model vibration results showed that the cutting tool deflection induces chatter vibrations which transit from periodic, quasi-periodic, and chaotic type.


Author(s):  
Brian Boswell ◽  
Mohammad Nazrul Islam ◽  
Ian J Davies ◽  
Alokesh Pramanik

The machining of aerospace materials, such as metal matrix composites, introduces an additional challenge compared with traditional machining operations because of the presence of a reinforcement phase (e.g. ceramic particles or whiskers). This reinforcement phase decreases the thermal conductivity of the workpiece, thus, increasing the tool interface temperature and, consequently, reducing the tool life. Determining the optimum machining parameters is vital to maximising tool life and producing parts with the desired quality. By measuring the surface finish, the authors investigated the influence that the three major cutting parameters (cutting speed (50–150 m/min), feed rate (0.10–0.30 mm/rev) and depth of cut (1.0–2.0 mm)) have on tool life. End milling of a boron carbide particle-reinforced aluminium alloy was conducted under dry cutting conditions. The main result showed that contrary to the expectations for traditional machined alloys, the surface finish of the metal matrix composite examined in this work generally improved with increasing feed rate. The resulting surface roughness (arithmetic average) varied between 1.15 and 5.64 μm, with the minimum surface roughness achieved with the machining conditions of a cutting speed of 100 m/min, feed rate of 0.30 mm/rev and depth of cut of 1.0 mm. Another important result was the presence of surface microcracks in all specimens examined by electron microscopy irrespective of the machining condition or surface roughness.


2012 ◽  
Vol 576 ◽  
pp. 46-50 ◽  
Author(s):  
M.A. Mahmud ◽  
A.K.M. Nurul Amin ◽  
M.D. Arif

This paper presents the thorough experimental analysis on high speed end milling of single crystal silicon using diamond coated tools. Experiments were conducted on CNC milling machine. The design of the experiments was based on the central composite design (CCD) technique of Design Expert software. Response Surface Methodology (RSM) was used to develop mathematical imperial model to establish a correlation between machining parameters (cutting speed, feed and depth of cut) and machined surface roughness in high speed end milling of single crystal silicon using 2mm diameter diamond coated tools. The optimum machining parameters were determined using the optimization tool of Design Expert software based on the desirability function. Finally, confirmation tests were performed to validate the developed model.


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