An Investigation into Surface Roughness of Burnished Hypereutectic Al-Si Alloy Based on the Taguchi Techniques

2004 ◽  
Vol 471-472 ◽  
pp. 790-794 ◽  
Author(s):  
Li Fa Han ◽  
Wei Xia ◽  
Yuan Yuan Li ◽  
Wei Ping Chen
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimum Process ◽  
Light Weight ◽  
Resistant Material ◽  
Influence Of Process Parameters ◽  
Small Surface ◽  
Burnishing Process

This paper presents an investigation on the surface roughness of burnished hypereutectic Al-Si alloy ¾ a widely used light-weight and wear resistant material in automobile, electric and aircraft industries. Based on the techniques of Taguchi, an orthogonal experiment plan with the analysis of variance (ANOVA) is performed and a second-order regressive mathematical model is established. Meanwhile, the influence of process parameters on surface roughness and its mechanism are discussed. From the experiments, it is found that burnishing process is effective to decrease surface roughness of hypereutectic Al-Si alloy components, in which, all input parameters have a significant effect on the surface roughness. To achieve a small surface roughness, the optimum process parameters are recommended.

scholarly journals Improving Surface Roughness of Burnished Components using Abrasive Particles

2018 ◽  
Vol 15 (3) ◽  
pp. 5592-5606
Author(s):  
Pavana Kumara ◽  
G. K. Purohit
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Silicon Carbide ◽  
Process Parameters ◽  
Machined Surface ◽  
Abrasive Particles ◽  
Burnishing Process ◽  
Number Of Passes ◽  
The Mathematical Model ◽  
Full Factorial

Roller burnishing process was carried out on free cutting brass materials in the presence of fine silicon carbide abrasives in the form of paste on a pre-machined surface. The results of ‘without-paste’ burnishing (plain burnishing, PB) and ‘with-paste’ burnishing (abrasive assisted burnishing, AAB) processes are compared to examine the effect of abrasive particles in the burnishing process. A 24 full factorial design is adopted to develop the mathematical model for surface roughness regarding four process parameters like burnishing force, burnishing speed, burnishing feed and number of passes for both the cases, i.e. PB and AAB. Analysis of variance (ANOVA) was carried out to find the effect of process parameters and to check the adequacy of the models. The results show that the parameters have a significant effect on the response in PB to improve the surface roughness by 75 % than the turned components. Whereas in AAB, fine abrasive particles as a single entity controlling the response and making other parameter effects as non-significant. Surface roughness further improved by 15 % in AAB process.

scholarly journals Investigation of a plain ball burnishing process on differently machined Aluminium EN AW 2007 surfaces

2018 ◽  
Vol 190 ◽  
pp. 11005 ◽  
Author(s):  
Marco Posdzich ◽  
Rico Stöckmann ◽  
Florian Morczinek ◽  
Matthias Putz
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Process Development ◽  
Fem Simulation ◽  
Initial Surface ◽  
Shape Deviation ◽  
Finishing Process ◽  
Path Distance ◽  
Burnishing Process

Burnishing is an effective chipless finishing process for improving workpiece properties: hardness, vibration resistance and surface quality. The application of this technology is limited to rotationally symmetrical structures of deformable metals. Because of the multiaxial characteristics, the transfer of this force controlled technology on to prismatic shapes requires a comprehensive process development. The main purpose of this paper is the characterization of a plain burnishing process on aluminium EN AW 2007 with a linear moved, spherical diamond tool. The method of design of experiments was used to investigate the influence of different machined surfaces in conjunction with process parameters: burnishing force, burnishing direction, path distance and burnishing speed. FEM simulation was utilized for strain and stress analysis. The experiments show, that unlike the process parameters the initial surface roughness as 3rd order shape deviation does not have a significant influence on the finished surface. Furthermore a completely new surface is created by the process, with properties independent from the initial surface roughness.

Preparation of high-oriented molybdenum thin films using DC reactive magnetronsputtering

2017 ◽  
Vol 31 (07) ◽  
pp. 1750059 ◽  
Author(s):  
Zhengguo Shang ◽  
Dongling Li ◽  
She Yin ◽  
Shengqiang Wang
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Surface Roughness ◽  
Process Parameters ◽  
Gas Flow ◽  
Lattice Mismatch ◽  
Practical Significance ◽  
Process Time ◽  
Process Conditions ◽  
Influence Of Process Parameters

Since molybdenum (Mo) thin film has been used widely recently, it attracts plenty of attention, like it is a good candidate of back contact material for CuIn[Formula: see text]Ga[Formula: see text]Se[Formula: see text]S[Formula: see text] (CIGSeS) solar cells development; thanks to its more conductive and higher adhesive property. Besides, molybdenum thin film is an ideal material for aluminum nitride (AlN) thin film preparation and attributes to the tiny (−1.0%) lattice mismatch between Mo and AlN. As we know that the quality of Mo thin film is mainly dependent on process conditions, it brings a practical significance to study the influence of process parameters on Mo thin film properties. In this work, various sputtering conditions are employed to explore the feasibility of depositing a layer of molybdenum film with good quality by DC reactive magnetron sputtering. The influence of process parameters such as power, gas flow, substrate temperature and process time on the crystallinity and crystal orientation of Mo thin films is investigated. X-ray diffraction (XRD) measurements and atomic force microscope (AFM) are used to characterize the properties and surface roughness, respectively. According to comparative analysis on the results, process parameters are optimized. The full width at half maximum (FWHM) of the rocking curves of the (110) Mo is decreased to 2.7[Formula: see text], and the (110) Mo peaks reached [Formula: see text] counts. The grain size and the surface roughness have been measured as 20 Å and 3.8 nm, respectively, at 200[Formula: see text]C.

Experimental Investigation on Surface/Subsurface Damage in Rotary Ultrasonic Machining of Glass BK7

2013 ◽  
Vol 325-326 ◽  
pp. 1357-1361 ◽  
Author(s):  
Yan Hua Huang ◽  
Dong Xi Lv ◽  
Yong Jian Tang ◽  
Hong Xiang Wang ◽  
Hai Jun Zhang
Keyword(s):  
Surface Roughness ◽  
Ultrasonic Vibration ◽  
Process Parameters ◽  
Subsurface Damage ◽  
Spindle Speed ◽  
Feed Speed ◽  
Ultrasonic Machining ◽  
Rotary Ultrasonic Machining ◽  
Cutting Depth ◽  
Influence Of Process Parameters

Experiments were carried out to study the effect of ultrasonic vibration on the surface roughness and subsurface damage (SSD) in rotary ultrasonic machining (RUM) of glass BK7. As a comparison, some conventional grinding (CG) experiments were also performed under the same process parameters with there of the RUM ones. The surface roughness of the RUM/CG samples was measured with a surface profilometer. The SSD of these specimens was assessed and characterized by a measuring microscope with the help of the taper polishing method. Also, the influence of process parameters (cutting depth, feed speed, and spindle speed) on the surface/subsurface quality was discussed. As a result, both the surface roughness and the SSD depth of the RUM/CG specimens were reduced with the increased spindle speed, while increased with the increasing of feed speed and cutting depth of the diamond tool. Compared with the CG process, the introduction of ultrasonic vibration resulted in the higher surface roughness and SSD depth, due to the fact that the max cutting depth of the abrasive in the RUM process increased by an amplitude compared with that in the CG process.

Comprehensive Mathematical Model and Optimum Process Parameters of Nitrogen Free Blast Furnace

2014 ◽  
Vol 21 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Jian-liang Zhang ◽  
Guang-wei Wang ◽  
Jiu-gang Shao ◽  
Hai-bin Zuo
Keyword(s):  
Mathematical Model ◽  
Blast Furnace ◽  
Process Parameters ◽  
Optimum Process

Research of LS-WEDM Finishing in Gas Based on Gray Relation Grade

2013 ◽  
Vol 274 ◽  
pp. 74-77
Author(s):  
Yu Mei Lu ◽  
Tong Wang ◽  
Ling He ◽  
Wen Wen Yan ◽  
Shi Cai Fang
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Supply Voltage ◽  
Orthogonal Experiment ◽  
Relevance Theory ◽  
Processing Parameters ◽  
Pulse Interval ◽  
Power Supply Voltage ◽  
Machining Time ◽  
Wedm Process

Authors have presented a new procedure as gas-liquid combined multiple cut. In order to acquire the best machining quality and the greatest efficiency, it is necessary to analyze the WEDM process with multiple performance characteristics including machining time and surface roughness and to optimize some processing parameters such as pulse duration, pulse interval, peak current, main power supply voltage, servo feed, offset and servo voltage. The orthogonal experiment is designed to reveal the relationship among the parameters, the gray relevance theory is used to optimize the processing parameters under the multiple process index of the LS-WEDM in gas, namely optimizing the process parameters under the surface roughness and machining time, and the optimized process parameters can be obtained from gray relation grade.

scholarly journals Surface Roughness Prediction Model for Machining O1 Die Steel Through EDM

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Jai Prakash ◽  
Ashish Agarwal ◽  
Vipin
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Current Pulse ◽  
Process Parameters ◽  
Design Method ◽  
Orthogonal Design ◽  
Die Steel ◽  
Orthogonal Design Method ◽  
Roughness Prediction ◽  
Taguchi Orthogonal Design

The objective of this paper is to generate a mathematical model in order to minimize the value of surface roughness (Ra) through EDM by constructing an objective function consisting of combination of process parameters. Taguchi orthogonal design method of experiments with three process parameters viz., current, pulse-on-rate, pulse-off-rate were used to generate 25 numbers of experiments L25 at five levels. Experiments were carried out in Electronica S50 (CNC) EDM. Data obtained for performance measurement was subjected regression analysis using ANOVA. Equation was obtained for the surface roughness as a function of current, pulse-on rate, pulse-off-rate.It is found that discharge current, pulse-on-rate, and pulse-off-rate have significant effect on the Ra. Higher values of current and pulse-on-rate increased surface roughness. Lower current, lower pulse-on-rate and relatively higher pulse-off-rate produced a better surface finish.

Evaluation of mechanical properties and surface roughness of cotton–viscose hybrid composite

2020 ◽  
pp. 096739112090905
Author(s):  
Kuppuraj Arunkumar ◽  
Angamuthu Murugarajan
Keyword(s):  
Mechanical Properties ◽  
Surface Roughness ◽  
Composite Material ◽  
Process Parameters ◽  
Water Pressure ◽  
Machining Process ◽  
Optimum Process ◽  
Process Conditions ◽  
Machined Surface ◽  
Reinforced Composite

Natural-fibre reinforced composite material is an emerging material that has great potential to be used in various industrial aspects and applications. The cotton-viscose-reinforced composite is prepared using a compression moulding process. In addition to it, analysis of its mechanical properties was also carried out, such as tensile strength, flexural strength, impact strength and hardness. An attempt was made to process the prepared composite material using abrasive water jet machining (AWJM) under different process parameters (water pressure, nozzle transfer speed and abrasive flow rate) levels to determine the better suitable process conditions to achieve the better surface finish and optimize the machining process. The significance of the optimization process was ensured using the results of the analysis of variance. Morphological analyses of the machined surface were performed using a scanning electron microscope. The surface roughness of 8.28 µm was found to be the optimized process parameter. Optimum process parameters in AWJM are used to improve the surface quality.

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