icmiee-pi-1401910 000 optimization of grinding parameters for

ICMIEE-PI-1401910 000 Optimization of Grinding Parameters for

Optimization of Grinding Parameters for Minimum Surface Roughness using Taguchi Method Subrata Talapatra 1,* , Ishat Islam 2 1 Department of Industrial Engineering and Management, University of Engineering & Technology, Khulna-9203, (PDF) Optimization of Surface Grinding Process Parameters for Optimization of Surface Grinding Process Parameters for Minimum Surface Roughness in AISI 1080 Using Response Surface Methodology July 2014 Advanced Materials Research 984-985:118-123 Optimization of Cylindrical Grinding Machine Parameters for Optimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and Maximum MRR Mr. Rupesh J. Karande Mr. Kshitij R. Patil UG Student UG Student Department of Mechanical Engineering Department of Mechanical Engineering NBNSSOE, Ambegaon, Pune-41 NBNSSOE, Ambegaon, Pune-41 Prof .S.M. Jadhav Prof. R. K. Nanwatkar

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optimization of surface grinding process parameters by

Optimization of Surface Grinding Process Parameters By

Methodology (RSM) were used to optimize the parameters for minimum surface roughness. Minimum surface roughness indicates good surface finish. Confirmation experiments were conducted to verify the effectiveness of optimization. Optimization of Surface Grinding Process Parameters By Taguchi Method And Response Surface Methodology 1721 Vol. 3 Optimization of Surface Grinding Process Parameters for The surface roughness characteristics were investigated in AISI 1080 steel plates using A60V5V grinding wheels. The optimum parameters for minimum surface roughness were found using Design Expert software. The parameters for a particular surface roughness value can also be determined using the results of this experiment. Optimization of Grinding Parameters of Surface Grinding Optimization of Grinding Parameters of Surface Grinding Process for AISI 1018 Mild Steel by using Al 2 O 3 Grinding Tool Rajhans R. Manwatkar1 Dr. Ramakant Shrivastava2 1PG Student Head 2 of Dept. 1,2Department of Mechanical Engineering 1,2Government College of Engineering, Aurangabad (An Autonomous Institute of Government of Maharashtra), India

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optimization of grinding process parameters using enumeration

Optimization of grinding process parameters using enumeration

For finish grinding, surface finish is an important consideration. If the process generates a finish value better than desired, it only adds to the cost of grinding. As such, surface finish has been taken to be a process constraint for selection of the process parameters. 2.3. Proposed optimization technique 2-Cost Optimization of Surface Sgrinding Process paper introduces a cost optimization study for surface grinding. In the study, the influences of many grinding process parameters as well as cost components were taken into account. Also, a new and effective way of using the surface grinding wheel was proposed. Using this way, both the grinding cost and grinding time can be reduced (PDF) OPTIMIZATION OF SURFACE GRINDING PROCESS PARAMETERS FOR The optimized parameters for minimum relative contribution of machining parameters in surface roughness are wheel grit size (46) grinding controlling the response of machining performance wheel speed (2300) , Table speed(0.834), depth of criteria i.e. surface roughness and MRR during D2 cut(0.050) and for maximum MRR are wheel git size surface

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optimization of grinding parameters for the workpiece surface

Optimization of Grinding Parameters for the Workpiece Surface

optimum parameters for minimum surface roughness by using RSM with design expert software in the grinding process of AISI 1080 steel plates. In references [10–13], the Taguchi design method was widely used to optimize milling parameters for surface roughness. In fact, focusing on only a single goal will Optimization of grinding efficiency considering surface In order to improve the grinding efficiency of bearing raceways, a multi-objective optimization method that considers the surface integrity constraints of the bearing raceway is proposed. Appropriate design points are selected through an orthogonal test, and a response surface model of the grinding parameters along with the response output is established on the basis of the test results [PDF] Prediction and Optimization of Cylindrical Grinding Recently 304 stainless steel finds many applications like Automotive, Aerospace, Nuclear, Chemical and Cryogenics. The cylindrical grinding parameters on 304 stainless steel are conducted using Taguchi design of experiments of L9 orthogonal array was selected with 3 levels with 3 factors and output parameter of Surface Roughness is measured.

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optimization of surface roughness in cylindrical grinding process

Optimization of Surface Roughness in Cylindrical Grinding Process

grinding technology that combines MQL with low-temperature CO 2 is evaluated trough industrial grinding tests. Results show an increased performance in terms of friction conditions and surface finish. Sijo M.T and Biju.N [3] used taguchi parameter optimization methodology is applied to optimize cutting parameters in turning. Optimization of Jet Parameters for Minimizing Surface A lower volume fraction of gas, a higher pressure, and a proper flowrate could produce a lower surface roughness. An optimal combination of jet parameters was ultimately selected as the liquid nitrogen with 45 l/h of flowrate and 0.6 MPa of pressure to obtain the minimum surface roughness at 0.076 μm. grinding machine minimum r value Grinding Machine Minimum R Value kwaterylondyneu. The discharge die gap a of the grinding machine is used for the ground solid matter in this formula Grinding machines In materials processing a grinder is a machine for producing fine particle size reduction through attrition and compressive forces at

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optimization of parameters in cylindrical and surface

Optimization of parameters in cylindrical and surface

In this paper, the effect of grinding parameters on surface finish for EN8 steel is presented. Experiments were performed on surface grinding and a cylindrical grinding for optimization of grinding process parameters for improved surface finish. The surface roughness was taken as an output parameter for experimentation. OPTIMIZATION OF SURFACE GRINDING PROCESS PARAMETERS FOR AISI D2 Abstract. In grinding process, Surface quality and metal removal rate are the two important performance characteristics to be consider. In this paper, Taguchi L9 orthogonal array optimization method has been used to determine the optimum machining parameters in Surface grinding process operation on AISI D2 steel. MODELING AND OPTIMIZATION OF SURFACE ROUGHNESS IN SURFACE and optimization of grinding parameters while Box-Behnken method was utilised to develop a mathematical model relating the average surface roughness to the grinding parameters.Lian etal.(2014)developed annew empirical model of surface roughness in grinding of engineering ceramics and experimentally validated the model for

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machines | free full-text | optimization of honing surface

Machines | Free Full-Text | Optimization of Honing Surface

Sadizade et al. studied the honing process parameters of automobile cylinders, established an optimization function model, and obtained the honing processing time with minimum surface roughness. Lawrence et al. [ 17 ] used the Taguchi method to improve the processes of coarse honing and finish honing, as well as those of other stages. Optimization of Surface Roughness in Centreless Grinding Optimization of Surface Roughness in Centreless Grinding Process Based on Taguchi Method: 10.4018/978-1-7998-7206-1.ch004: This chapter aims to optimize centreless grinding conditions using the Taguchi method for minimizing surface roughness. Effect of Process Parameters on Surface Roughness of roughness and minimum tool wear. Lower surface roughness is the main objectives of every machining process. After conducting experiment, S / N ratio is used for optimization and ANOVA is used for analysis. It is predicted that work speed is a dominating parameter for lower surface roughness of cylindrical grinding. Key words: Cylindrical

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process parameter optimization and experimental evaluation

Process parameter optimization and experimental evaluation

However, optimized process parameters have not been obtained with considering grinding temperature, tangential grinding force, specific grinding energy, and surface roughness (R a). And it is important for reaching the best surface quality and highest grinding efficiency. Study on Surface Roughness and its Prediction in Cylindrical parameters namely material hardness, work piece speed and depth of cut. The main objective is to predict the grinding behaviour in terms of surface roughness and achieve optimal operating processes parameters. For optimization process Taguchi optimization technique is used. [1] II. OBJECTIVES A comparative study of PSO, GSA and SCA in parameters in the surface grinding process include the cost specifically related to the grinding of the part, the cost of non-beneficial time and lastly the cost of material consumption. For the rough grinding process, it is necessarily to minimize the , considering the various optimization parameter

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to study the effect of input parameters on surface roughness

To Study the Effect of Input Parameters on Surface Roughness

Pal et al. worked on optimization of grinding parameters for minimum surface roughness by Taguchi parametric optimization technique. The authors conducted the experiments on a universal tool and cutter grinding machine with different grain sized aluminum oxide white grinding wheels, on different materials EN 24, EN 31 and Die steel. To Study the Effect of Input Parameters on Surface Roughness In this present work, The effect of input parameters viz. grinding wheel speed, work-piece speed, abrasive grain size, depth of cut, concentration of cutting fluid, and number of passes has been found on the surface roughness of cylindrical grinded AISI 4140 steel has been found. A Review of Literature on Analysis of Jig Grinding Process [9]. Alao Abdur-Rasheed and Mohamed Konneh, (2011). “Optimization of Precision Grinding Parameters of Silicon for Surface Roughness Based on Taguchi Method”. Advanced Materials Research, Vol.264-265, pp.997-1000.

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experimental study of hardness effects on surface roughness

Experimental study of hardness effects on surface roughness

Performance improvement of minimum quantity lubrication (MQL) technique in surface grinding by modeling and optimization. Journal of Cleaner Production, 86, 447-460. Rao, R.V., Rai, D.P., & Balic, J. (2017). A new optimization algorithm for parameter optimization of nano-finishing processes. Scientia Iranica E, 24(2), 868-875. Effect of process parameters on surface roughness during Pal Deepak, Bangar Ajay, Sharma Rajan, Yadav Ashish (2012),”Optimization of Grinding Parameters for Minimum Surface Roughness by Taguchi Parametric Optimization Technique”, International Journal of Mechanical and Industrial Engineering (IJMIE), ISSN No. 2231 –6477, Vol.1. [26] Experimental Investigation and Optimization of Material process is effective in large aspheric mirror surface grinding. Alessandro Rascalha et al [14] expressed that use of taguchi method provided bet-ter understanding on setup of grinding process. The input parameters were the depth of dressing, the feed rate of dressing, the diameter of the grinding wheel, and the speed of the regulating wheel.

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a study on the surface grinding process of the suj2 steel

A study on the surface grinding process of the SUJ2 steel

The second factor that influenced on the output parameter was the depth of cut. The workpiece velocity has the smallest influence on the output parameters. Data Envelopment Analysis Based Ranking (DEAR) method was used to solve the multi-objective optimization problem in surface grinding process. Multi-objective parametric optimization for high surface In addition, the process parameters were analyzed by ANOVA, and the minimum surface roughness was achieved by determining the optimal process parameters using genetic algorithm (GA). However, for micro-grinding, the optimization for minimum surface roughness has not been investigated. APPLICATION OF TAGUCHI METHOD FOR OPTIMIZATION OF PROCESS combination of process parameters for optimum surface finish and low resultant cutting force. The influence of cutting parameters, i.e speed, feed and depth of cut on the surface finish and cutting force are analysed. 2. LITERATURE SURVEY S.Shaji, V.Radhakrishnan have conducted a newer cooling method for grinding operation [1].

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optimization of grinding parameters for minimum grinding time

Optimization of Grinding Parameters for Minimum Grinding Time

Cutting regime parameters play an important role in determining the efficiency of the grinding process and the quality of the ground parts. In this study, the influences of the cutting parameters, including the cutting depth (ae), the feed rate (Fe) and the wheel speed (RPM) on the grinding time when grinding tablet shape punches by a cubic boron nitride (CBN) wheel on a CNC (Computerized OPTIMIZATION OF PROCESS PARAMETER OF SURFACE GRINDING PROCESS Dressing Parameters of CNC Cylindrical Grinding Wheel for Minimum Surface Roughness”IRJET,2017 Volume: 05 Issue: 04 [2] Ankit Kumar, Ravi Patel, Jitendra Kumar Verma,“ Analysis and Optimization of Surface Roughness in Grinding Operation of High Carbon High Chromium Steel by Taguchi”,Vol. 35, May 2016. Optimization of surface grinding process parameter for AISI Vol-2 Issue-4 2016 IJARIIE -ISSN(O) 2395 4396 2867 www.ijariie.com 180 Optimization of surface grinding process parameter for AISI 321 by Using Taguchi Method Avinash S. Jejurkar1 , Vijay L. Kadlag2

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modeling and optimization of cylindrical grinding parameters

MODELING AND OPTIMIZATION OF CYLINDRICAL GRINDING PARAMETERS

Efforts were made to find expedient values of parameters on grinding machine and they were measured on the basis of minimum surface roughness (Ra) for EN19 cylindrical bar. Rajendra B et. al. optimization of the process parameter such as cutting speed, depth of cut and feed rate on surface roughness produced on the machined component. Optimization of Dressing Parameters for Minimum Surface E3S Web of Conferences (Jan 2021) . Optimization of Dressing Parameters for Minimum Surface Roughness and Maximum Material Removal Rate in Internal Grinding of SKD11 Tool Steel Optimization of Internal Grinding Process Parameters on C40E forces which are caused by the finer grinding wheel surface and investigation was carried out on the wear rate of CBN grinding wheels [27, 28]. Based on the above study, an attempt was made in optimization of internal grinding process parameters on C40E steel using taguchi technique and the

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optimization of electrochemical grinding parameters for

Optimization of Electrochemical Grinding Parameters for

Optimization of Electrochemical Grinding Parameters for Effective Finishing of Hybrid Al/(Al2O3+ZrO2) MMC: 10.4018/ijseims.2013070104: In this study, the Taguchi method, a powerful tool in the design of experiment is used to optimize electrochemical grinding (ECG) parameters for effective Prediction and optimization of machining parameters for The response surface optimization is an ideal technique for determination of these optimum machining parameters. Response surface optimization was done using MINITAB and the results are shown in Fig. 11. The optimal machining parameters for minimizing surface roughness and power consumption obtained are – cutting speed of 127.63 m/min at feed OPTIMIZATION OF 3D PRINTING PARAMETERS ON SURFACE ROUGHNESS OPTIMIZATION OF 3D PRINTING PARAMETERS ON SURFACE ROUGHNESS BY TAGUCHI METHOD SEELAM RAVINDER1 & CHINTIREDDY SHARATH REDDY2 1Department of Mechanical Engineering,JNTUH College of Engineering Sultanpur, Sangareddy, Telangana, India 2Department of Mechanical Engineering, Chaitanya Bharathi Institute of Technology (A), Hyderabad, Telangana, India

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optimization of cutting conditions in end milling process

Optimization of Cutting Conditions in End Milling Process

optimization, we focus on different parameters which govern the process. In present scenario, it is a matter of great concern in industry to achieve a good quality product at minimum cost. The parameters affecting surface roughness are given in Figure-1. Many researchers worked by using the above methodology for optimization using various Optimization of Grinding Parameters for Minimum Grinding Time Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine Ngoc-Pi Vu 1,* , Quoc-Tuan Nguyen 2, Thi-Hong Tran 3, Hong-Ky Le 4, Anh-Tuan Nguyen 5, Anh-Tung Luu 1, Van-Tung Nguyen 1 and Xuan-Hung Le 1 EFFECTS AND OPTIMIZATION OF MACHINING PARAMETERS IN HARD In order to achieve good surface finish closer to cylindrical grinding, improve cutting efficiency (minimum tool wear, less cutting force and power consumption, maximum MRR, low cutting temperature) and process at low cost. It is essential to understand the parametric effects and to optimize the various machining parameters. Several

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experimental investigation and optimization of material

Experimental Investigation and Optimization of Material

process is effective in large aspheric mirror surface grinding. Alessandro Rascalha et al [14] expressed that use of taguchi method provided bet-ter understanding on setup of grinding process. The input parameters were the depth of dressing, the feed rate of dressing, the diameter of the grinding wheel, and the speed of the regulating wheel. IJRMET V . 3, I 2, M - o 2013 Optimization of Process Response surface methodology (RSM) was applied to determine the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process. Keywords CNC Grinding, EN24 steel, Surface Roughness, Material removal Rate, Design Expert 6.0 Central Composite Design, Response Surface Methodology. OPTIMIZATION OF CYLINDRICAL GRINDING PARAMETERS OF AUSTENITIC The cylindrical grinding parameters on Austenitic stainless steel are conducted using Taguchi design of experiments of L9 orthogonal array was selected with 3 levels with 3 factors and output parameters of Metal removal rate are measured.

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optimization the effect of input parameters on surface

Optimization the effect of input parameters on surface

surface methodology (RSM) was applied to determine the optimum machining parameters leading to minimum surface Roughness and maximum metal removal rate in Surface grinding process. Pal et al. [13] Studied grinding process, a machining parameter, such as hardness of the specimen, flow rate of the coolant and grinding machine minimum r value Grinding Machine Minimum R Value kwaterylondyneu. The discharge die gap a of the grinding machine is used for the ground solid matter in this formula Grinding machines In materials processing a grinder is a machine for producing fine particle size reduction through attrition and compressive forces at Effect of process parameters on surface roughness during Pal Deepak, Bangar Ajay, Sharma Rajan, Yadav Ashish (2012),”Optimization of Grinding Parameters for Minimum Surface Roughness by Taguchi Parametric Optimization Technique”, International Journal of Mechanical and Industrial Engineering (IJMIE), ISSN No. 2231 –6477, Vol.1. [26]

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optimization of parameters in cylindrical and surface

Optimization of parameters in cylindrical and surface

The optimum conditions of grinding parameters for lower surface roughness for EN8 steel were the grinding wheel speed 1400 r.p.m., table travel speed 10 m min −1, depth of cut 10 µm, grinding wheel A60K5V10 and table cross feed 0.03 m min −1 for surface grinding. Influences Of Parameters On Surface Roughness When 2010). The influence of cutting parameters on surface roughness when grinding with CBN wheel (Nguyen Thi Phuong et al. 2017), ect. In this paper, the experimental method is used to determine the effect of grinding parameters on surface roughness when external cylindrical grinding D2 steel using CBN grinding wheel. 2. [PDF] Optimization the effect of input parameters on surface In this present work, AISI-1020 steel is used to find the effect of input parameters viz. wheel speed, work speed, coolant flow rate, abrasive material has been found on the surface roughness of cylindrical grinding. There are two levels of wheel speed and the three levels of each variable have been selected except wheel speed. The work piece material has been taken as heat treated AISI-1020

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neural network modeling of grinding parameters of ductile

NEURAL NETWORK MODELING OF GRINDING PARAMETERS OF DUCTILE

This paper presents the optimization of the grinding parameters of ductile cast iron in wet conditions and with the minimum quantity lubrication (MQL) technique. The objective of this project is to investigate the performance of ductile cast iron during the grinding process using the MQL technique and to develop artificial neural network Industrial Engineering Knowledge Center: Surface Grinding Optimization of Grinding Parameters for Minimum Surface www2.kuet.ac.bd › uploads › 2015/09 › ICMIEE-PI-140191 by S Talapatra - ‎Cited by 1 - ‎Related articles Sep 24, 2015 - Keywords: Surface Grinding Machine, Taguchi Method, Surface roughness, S/N ratio, Regression modeling. 1. Introduction. Production engineering is under Multiobjective Optimization of Grinding Process Parameters Hence, there is a need to apply most recent and powerful optimization techniques to get desired accuracy of optimum solution. In this paper, a recently developed nontraditional optimization technique, particle swarm optimization (PSO) algorithm is presented to find the optimal combination of process parameters of grinding process.

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optimization of cylindrical grinding process parameters on en

OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS PARAMETERS ON EN

The cylindrical grinding process was conducted on EN24 steel rod using L 9 orthogonal array design procedure and response parameter of surface roughness values are given in table 3.2 Table: 3.2 Surface Roughness and S/N Ratios Values for the Experiments S.No Design Work speed (rpm) Feed (mm/rev) Depth of cut (mm) Ra (Micrometer) SNRA1 1 A 1 B 1 C 1 APPLICATION OF TAGUCHI METHOD FOR OPTIMIZATION OF PROCESS combination of process parameters for optimum surface finish and low resultant cutting force. The influence of cutting parameters, i.e speed, feed and depth of cut on the surface finish and cutting force are analysed. 2. LITERATURE SURVEY S.Shaji, V.Radhakrishnan have conducted a newer cooling method for grinding operation [1]. Effect of Process Parameters on SurfaceRoughness of Lower surface roughness is the main objectives of every machining process. After conducting experiment, S / N ratio is used for optimization and ANOVA is used for analysis. It is predicted that work speed is a dominating parameter for lower surface roughness of cylindrical grinding. References [1] V. Pallavi, Anoop kumar and T. Mohandas (2012

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machines | free full-text | optimization of honing surface

Machines | Free Full-Text | Optimization of Honing Surface

Sadizade et al. studied the honing process parameters of automobile cylinders, established an optimization function model, and obtained the honing processing time with minimum surface roughness. Lawrence et al. [ 17 ] used the Taguchi method to improve the processes of coarse honing and finish honing, as well as those of other stages. MULTI-OBJECTIVE OPTIMIZATION OF CUTTING PARAMETERS FOR In this paper, Response surface methodology (RSM) has been applied to determine the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process operation on EN24 steel. IJRMET Vo l . 4, Issu E 1, N 2013 - A 2014 Comparison for Al the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process. The models selected for optimization was validated with F-test. The adequacies of these models were tested with analysis of variance (ANOVA). An attempt has also been made to optimize

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optimization of cutting parameters for surface roughness

Optimization of Cutting Parameters for Surface Roughness

Optimization of Cutting Parameters for Surface Roughness under MQL, using Al 2 O 3 Nanolubricant, during Turning of Inconel 718. M. A. M Ali 1, A. N. M. Khalil 2, A. I. Azmi 3 and H. M. Salleh 4. Published under licence by IOP Publishing Ltd IOP Conference Series: Materials Science and Engineering, Volume 226, conference 1 A Review: An insight approach for Optimization of machining In this Response surface methodology (RSM) was applied to determine the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process. Three wagons method applied: optimization of level of surface In this paper, we report on a process analysis of ductile mode grinding analyzing the influences of critical process parameters on the level of surface roughness being generated for tungsten carbide and BK7 glass. To that aim, the "three wagons method", a recently developed method for process optimization in optics fabrication was applied.

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multi-objective optimization of cutting parameters for

MULTI-OBJECTIVE OPTIMIZATION OF CUTTING PARAMETERS FOR

In this paper, Response surface methodology (RSM) has been applied to determine the optimum machining parameters leading to minimum surface roughness and maximum metal removal rate in Surface grinding process operation on EN24 steel. Development of Centreless Electric Discharge Grinding Maximum average MRR of 473 mg per min. was achieved at pulse on time 60µs, peak current 25 amps, gap voltage 40 V, at duty cycle of 8 while minimum average surface roughness of 8.4 µm Ra was obtained at pulse on time 40µs, peak current 15 amps, gap voltage 40 V, and duty cycle 6. Optimization of Surface Roughness in Turning of Ti-6Al-4V Influence of Grinding Parameters on Glass Workpieces Surface Finish Using Response Surface Methodology J. Manuf. Sci. Eng (August,2011) Wear Performance Evaluation of Minimum Quantity Lubrication With Exfoliated Graphite Nanoplatelets in Turning Titanium Alloy

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optimization of cutting parameters for trade-off among carbon

Optimization of Cutting Parameters for Trade-off Among Carbon

F Ma, H Zhang, H J Cao, Multi-objective cutting parameters optimization for low energy and minimum cutting fluid consumption. Journal of Mechanical Engineering, 2017, 53(11): 157-163. (in Chinese) Article Google Scholar [25] C B Li . Multi-objective NC cutting parameters optimization model for high efficiency and low carbon. ‪Luu Anh Tung‬ - ‪Google Scholar‬ Optimization of grinding parameters for minimum grinding time when grinding tablet punches by CBN wheel on CNC milling machine NP Vu, QT Nguyen, TH Tran, HK Le, AT Nguyen, AT Luu, VT Nguyen, Applied sciences 9 (5), 957 , 2019 Experimental Optimization of Annular Polishing Parameters for After polishing, the surface roughness of the specimen is measured by a Taylor Hobson surface profiler. Figure 2 presents the value of surface roughness for each polishing solution material. The surface roughness is the maximum of 7.3 nm for the alumina, followed by 6.1 nm for the silica, and the minimum of 3.2 nm for the diamond.

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