Experimental Investigations and Statistical Modeling of Specific Wear and Coefficient of Friction in a Novel Carbon Fiber-Reinforced Composite (original) (raw)
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ANALYSIS OF SURFACE ROUGHNESS AND WEAR BY TURNING OF FIBER PARTICULATE REINFORCED POLYMER COMPOSITE
This Paper presents a study of surface roughness and wear analysis by CNC turning process in the use of TNMG 16 04 08 carbide inserts on Fiber Particle Reinforced Polymer composites (FPRP). The primary problem that has been encountered in the development of machining operation is tool wear. Tool wear in machining is defined as the amount of volume loss of tool material on the contact surface due to interaction between the tool and the work piece. Tool wear is an important factor directly affecting the surface quality of the machined products. Recent mathematical and computational advances have fashioned a number of researches focusing on several aspects of modelling and analysis of tool wear. Many literatures indicate that in the turning process, cutting speed, feed rate and depth of cut are the major influential parameters which affect the tool wear. Hence it is essential to evaluate the effect of various processing parameters on the tool wear.With this overall view, the present work is about to study the surface finish and tool wear with different parameters viz. speed, feed, depth of cut, fiber orientation and diameter of fiber, which will be a scope in Industrial purpose.
2010
In the present study, an attempt has been made to investigate the influence of cutting speed, depth of cut, and feed rate on surface roughness during machining of 7075 Al alloy and 10 wt.% SiC particulate metal-matrix composites. The experiments were conducted on a CNC Turning Machine using tungsten carbide and polycrystalline diamond (PCD) inserts. Surface roughness of 7075Al alloy with 10 wt.% SiC composite during machining by tungsten carbide tool was found to be lower in the feed range of 0.1 to 0.3 mm/rev and depth of cut (DOC) range of 0.5 to 1.5 mm as compared to surface roughness at other process parameters considered. Above cutting speed of 220 m/min surface roughness of SiC composite during machining by PCD tool was less as compared to surface roughness at other values of cutting speed considered. Wear of tungsten carbide and PCD inserts was analyzed using a metallurgical microscope and scanning electron microscope. Flanks wear of carbide tool increased by a factor of 2.4 with the increase of cutting speed from 180 to 240 m/min at a feed of 0.1 mm/rev and a DOC of 0.5 mm. On the other hand, flanks wear of PCD insert increased by only a factor of 1.3 with the increase of cutting speed from 180 to 240 m/min at feed of 0.1 mm/rev and DOC 0.5 mm.
Social Science Research Network, 2022
The present paper describes the effect of cutting and vibration parameters on the surface roughness of specimen machined by ultrasonic-assisted turning with self-lubricating cutting inserts. The selected process has been based on comparative analysis between conventional turning and ultrasonic-assisted turning using plane and textured cutting inserts. An improvement of the order of 35.89% is observed during ultrasonic-assisted turning with textured cutting insert as compared to conventional turning with plane tool. The latter part of the paper uses response surface methodology for performing the experimentation during ultrasonic-assisted turning with textured cutting insert. The experimental data have been analyzed using analysis of variance to highlight significant contributions of depth of cut, feed rate, cutting speed, and percentage intensity of ultrasonic power on surface roughness. The significant interactions among process parameters have also been analyzed to explain the possible alteration in the mechanism of material removal during ultrasonic-assisted turning using self-lubricating inserts. The best surface finish of the order of 0.431 mm has been found under optimal cutting and vibration parameters as evaluated by optimization of the developed statistical model using genetic algorithm.
uobabylon.edu.iq
In the present work, the effects of machining parameters on surface roughness during highspeed drilling of carbon fiber reinforced plastic (CFRP) composite are presented. The machining experiments are carried out on lathe using two levels of factors. The factors considered were: % volume fraction of carbon fiber, cutting speed, drill diameter and feed rate. A procedure has been developed to assess and optimize the chosen factors to attain minimum surface roughness by incorporating: (i) response table and effect graph, (ii) normal probability plot (iii) analysis of variance (ANOVA) technique. From the test results, we observe that the technique used is convenient to predict the main effects and interaction effects of different influential combinations of machining parameters. Feed rate is the factor, which has greater influence on surface roughness followed by % volume fraction of fiber and drill diameter. The interaction between all parameters has more influence on surface roughness, followed by (drill diameter and feed rate) and (% volume fraction of fiber and drill diameter) comparing with other interactions on the machining of CFRP S composites.
Measurement, 2013
This research work concerns the elaboration of a surface roughness model in the case of hard turning by exploiting the response surface methodology (RSM). The main input parameters of this model are the cutting parameters such as cutting speed, feed rate, depth of cut and tool vibration in radial and in main cutting force directions. The machined material tested is the 42CrMo4 hardened steel by Al 2 O 3 /TiC mixed ceramic cutting tool under different conditions. The model is able to predict surface roughness of Ra and Rt using an experimental data when machining steels. The combined effects of cutting parameters and tool vibration on surface roughness were investigated while employing the analysis of variance (ANOVA). The quadratic model of RSM associated with response optimization technique and composite desirability was used to find optimum values of cutting parameters and tool vibration with respect to announced objectives which are the prediction of surface roughness. The adequacy of the model was verified when plotting the residuals values. The results indicate that the feed rate is the dominant factor affecting the surface roughness, whereas vibrations on both pre-cited directions have a low effect on it. Moreover, a good agreement was observed between the predicted and the experimental surface roughness. Optimal cutting condition and tool vibrations leading to the minimum surface roughness were highlighted.
2007
In this paper there are studied the results obtained at graphite and polyvinyl chloride turning. Such pieces are used like loose parts or in subassemblies. The final roughness of such pieces after processing and the influence of processing parameters are evaluated. Thus, factorials experiments are used and non-linear relations that take into consideration the cumulated influences of two factors on roughness are obtained. The achieved results and final relations for R z are presented. Also, microscopically images of these surfaces for different cutting workings are presented in this study.
omg.ugal.ro
In this paper there are studied the results obtained at graphite and polyvinyl chloride turning. Such pieces are used like loose parts or in subassemblies. The final roughness of such pieces after processing and the influence of processing parameters are evaluated. Thus, factorials experiments are used and non-linear relations that take into consideration the cumulated influences of two factors on roughness are obtained. The achieved results and final relations for R z are presented. Also, microscopically images of these surfaces for different cutting workings are presented in this study.
Research on the possibilities of improving the surface quality by using vibrations of a turning tool
3RD NATIONAL CONFERENCE ON CURRENT AND EMERGING PROCESS TECHNOLOGIES – CONCEPT 2020
The problem of the technological quality of elements is one of the primary problems of modern machine production. This particularly applies to difficult-to-cut materials [1]. Thearticle reviews modern hybrid machining technologies for selected hard-to-cut materials [2] and presents the results of research on the impact of hybrid machining on surface roughness of components made of difficult-to-cut materials and structural steels [3]. The research was carried out using the NEX 908 TAKISAWA turning center. Three different materials were tested: INCONEL 718 alloy, Ti6Al4V alloy. For the needs of ultrasonicassisted turning tests, a tool adapted for this was designed and made [4]. After completing the test stand, the samples were made in conventional and hybrid turning cycles. Subsequent measurements of surface roughness were made, then the analysis of the impact of ultrasonic vibrations on the roughness parameter values was performed. The chip form and the condition of the cutting edge after machining were also tested. This article related to a paper at PCM-CMM-2019.
Citation/Export MLA Bheem Singh Rajpoot, Dharma Ram Moond, Dr. Sharad Shrivastava, “Investigating the Effect of Cutting Parameters on Average Surface Roughness and Material Removal Rate during Turning of Metal Matrix Composite Using Response Surface Methodology”, January 15 Volume 3 Issue 1 , International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 241 - 247, DOI: 10.17762/ijritcc2321-8169.150149 APA Bheem Singh Rajpoot, Dharma Ram Moond, Dr. Sharad Shrivastava, January 15 Volume 3 Issue 1, “Investigating the Effect of Cutting Parameters on Average Surface Roughness and Material Removal Rate during Turning of Metal Matrix Composite Using Response Surface Methodology”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 241 - 247, DOI: 10.17762/ijritcc2321-8169.150149
In this study, milling of a carbon-fiber-reinforced polymer composite material (CFRP) was investigated experimentally using various carbide end mills. The input parameters included the spindle speed, feed rate and cutting tool, whereas the output parameters were defined as the cutting force and surface roughness. The experimental design was based on the Taguchi L18 (6¹×3²) orthogonal array. In the tests, six different carbide end mills with a 10 mm diameter were used: an uncoated two-flute 30° helix-angled one; carbide-coated two-, three- and four-flute 30° helix-angled ones; and TiAl-coated three- and four-flute 45° helix-angled ones. The cutting parameters included three different feed rates (0.03, 0.06, 0.09) mm/tooth and three different spindle speeds (3800, 4800, 5800) min⁻¹. The Taguchi method was applied to select the most appropriate cutting parameters (cutting force, feed rate) for the tests. With the analysis of variance (ANOVA), the feed-rate factor was found to be the most effective one among these parameters (cutting forces and surface roughness). The results of the experiments showed that the uncoated carbide end mill had a better performance in terms of the cutting forces and surface roughness. Besides, it was also seen that the surface roughness increases with the increasing number of flutes and helix angle.