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Optimization of Process Parameters in Surface Grinding
optimization of cylindrical grinding process parameters using taguchi method and regression analysis", International Journal of Engineering Science and T echnology, vol. 3, pp.
Optimization of parameters in cylindrical and surface
30/05/2018· Rao & Pawar proposed multi-objective optimization of process parameters of the grinding process using various non-traditional optimization techniques such as artificial bee colony, harmony search and simulated annealing algorithms. The objectives considered in their work were production cost, production rate and surface finish subjected to the constraints of thermal damage,
Optimization of Surface Grinding Process Parameters By
parameters were optimized by using Taguchi method and Response Surface Methodology (RSM). The process parameters considered in this study are grinding wheel abrasive stone size, depth of cut and feed. An AISI 1035 steel square rod of 100 mm x 10 mm x 10 mm was considered for grinding. The output response was selected as Surface roughness (R a and R z). In Taguchi method, L 27
Grinding of glass : optimization of process parameters to
This stone focuses on the optimization of grinding parameters with regards to the surface finish in order to maximize the lifespan of a glass workpiece. A central composite design of experiments
Multi-objective optimization of process parameters in
5/08/2013· In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For
Optimization of Grinding Process Through Design of
12/01/2007· Multiobjective Optimization of Grinding Process Parameters Using Particle Swarm Optimization Algorithm. P. J. Pawar et al. Materials and Manufacturing Processes. Volume 25, 2010 Issue 6. Published online: 10 Jun 2010. Article. Effect of different parameters on grinding efficiency and its monitoring by acoustic emission. Xun Chen et al. Production & Manufacturing Research. Volume 4,
Analysis of process parameters in surface grinding using
Important process parameters that affect the G ratio and surface finish in MQL grinding are depth of cut, type of lubricant, feed rate, grinding wheel speed, coolant flow rate, and nanoparticle size. Grinding performance was calculated by the measurement G ratio and surface finish. For improvement of grinding process a multi-objective process parameter optimization is performed by use of
Optimization of Grinding Parameters for Minimum Surface
Optimization of Grinding Parameters for Minimum Surface Roughness by Taguchi Parametric Optimization Technique C.Heinzel(1998) “Modelling and Optimization of grinding process”. Journal of Intelligent Mnufacturing pp303-314. 2.A.J. Shih, M.B. Grant, and T.M. Yonushonis (1998)“Vitreous bond CBN wheel for high speed grinding of zirconia and M2 Tool steel”. Transaction of NAMRI/SME
The optimization of accuracy and efficiency for multistage
17/01/2020· Agarwal employed multi-objective GA to optimize grinding process. 6 The optimization objectives were maximization of material removal rate as well as minimization of surface roughness. Gopal and Rao employed GA to optimize grinding parameters in SiC grinding. 18 The optimization objective was the maximization of material removal rate. The
Optimization of Generation Gear Grinding Process IJERT
This stone presents the study carried by swapping to the precision shaped grinding (Cubitron II) wheels and altering the process parameters thereby optimizing the process. The relationship of the cutting parameters such as the cutting speed and the axial feed has been studied and their results have been recorded and measured in terms of the Maximum Material Removal Rate, Specific Material
Optimization of Generation Gear Grinding Process IJERT
This stone presents the study carried by swapping to the precision shaped grinding (Cubitron II) wheels and altering the process parameters thereby optimizing the process. The relationship of the cutting parameters such as the cutting speed and the axial feed has been studied and their results have been recorded and measured in terms of the Maximum Material Removal Rate, Specific Material
The optimization of accuracy and efficiency for multistage
Agarwal employed multi-objective GA to optimize grinding process. 6 The optimization objectives were maximization of material removal rate as well as minimization of surface roughness. Gopal and Rao employed GA to optimize grinding parameters in SiC grinding. 18 The optimization objective was the maximization of material removal rate. The
OPTIMIZATION OF CYLINDRICAL GRINDING PARAMETERS OF
OPTIMIZATION OF CYLINDRICAL GRINDING PARAMETERS OF AUSTENITIC STAINLESS STEEL RODS (AISI 316) BY TAGUCHI METHOD K Mekala1*, J Chandradas2, K Chandrasekaran2, T T M Kannan3, E Ramesh3 and R Narasing Babu4 *Corresponding Author: K Mekala, [email protected] Recently Austenitic stainless steel AISI-316 finding many applications like Automotive, Aerospace,
IJRMET V . 3, I 2, M o 2013 Optimization of Process
Optimization of Process Parameters in Surface Grinding Using Response Surface Methodology 1Pawan Kumar, 2Anish Kumar, abrasive tools on EN24 steel surface by using three parameters (Grinding wheel speed, table speed & Depth of cut). This study was conducted by using surface grinding machine. In this work, empirical models were developed for surface roughness and metal
Optimization of Internal Grinding Process Parameters on
was made in optimization of internal grinding process parameters on C40E steel using taguchi technique and the results were validated through ANNOVA. EXPERIMENTAL WORK Actual specimen with dimensions Figure 1 shows the dimensions of selected specimen before subjected to internal grinding operation and Figure 2 shows
OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS METHOD
OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS PARAMETERS FOR AISI 1040 STEEL USING TAGUCHI METHOD Kirankumar Ramakantrao Jagtap Assistant Professor Mechanical Engineering Department MGM’s Jawaharlal Nehru Engineering College, Aurangabad, Maharashtra, India E-Mail ID: [email protected] S.B.Ubale Associate Professor Mechanical Engineering
Grinding of glass : optimization of process parameters to
rough grinding process on a local damage point of view, the roughness parameters that would characterize the most pertinently the rough ground surface of a brittle material workpiece need to be defined. Using appropriate roughness parameters, the grinding process can be improved by the understanding and optimization of
OPTIMIZATION OF CYLINDRICAL GRINDING PARAMETERS
Prediction and Optimization of Cylindrical Grinding Parameters for Surface Roughness Using Taguchi Method 1 Process parameter (iii) Grinding wheel parameter (iv) Work piece parameter. The present work takes the following input processes parameters of Cutting Speed, Feed Rate and Depth of Cut. The main objective of this stone is to show how our knowledge on Cylindrical grinding process
Cylindrical grinding process parameters optimization of Al
Cylindrical grinding process parameters optimization of Al / SiC metal matrix composites C. Thiagarajan. a *, S. Ranganathan. b. and P. Shankar. c. a, b, c . Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha University, Chennai-602105, Tamilnadu, India. Abstract—The present investigation reports the effects of the grinding process parameters namely wheel velocity
Cylindrical grinding process parameters optimization of
Cylindrical grinding process parameters. optimization of Al / SiC metal matrix composites. C. Thiagarajan a *, S. Ranganathan b and P. Shankar c. a, b, c Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha University, Chennai-602105, Tamilnadu, India. Abstract — The present investigation reports the effects of the grinding process parameters namely wheel
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