Optimization of Grinding Process Parameters on CNC Grinding M/C using Taguchi Method Mr. Akshay Bhole Department of Production Engineering Veermata Jijabai Technological Institute, Mumbai-400019, India Abstract— In machining operations, one of the most important machining processes is grinding process. It is
Rao, R.V. and Pawar, P.J. (2010a). Grinding process parameter optimization using non-traditional optimization algorithms. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 224(6), 887-898.
keeping other process parameters constant. The main objective of this experimental work is to arrive at the optimum process parameter condition that will minimize the surface roughness values when grinding EN24steel material. 2.6 Process parameters levels and factors
M.Janardhan, A.Gopala Krishna, "Determination and optimization of cylindrical grinding process parameters using taguchi method and regression analysis", ISSN 0975-5462, volume 3, …
Optimization of Process Parameters for Minimum Out-of-Roundness of Cylindrical Grinding of Heat Treated AISI 4140 Steel. American Journal of Mechanical Engineering, 2(2), 34-40. Singh, Taranvir, Parlad Kumar, and Khushdeep Goyal. "Optimization of Process Parameters for Minimum Out-of-Roundness of Cylindrical Grinding of Heat Treated AISI 4140 ...
Taguchi optimization technique is applied to optimize the process parameters to get optimum results of surface finish during grinding. The most influencing process parameters are depth of cut and table speed to optimize the MRR and surface roughness. The results reveals that optimum values of process parameters are 0.5 mm feed rate, 16 m/min ...
these parameters are: Since roughness depends on the manufacturing process, • Feed rate: 1000 +/- 500 mm/min IDMME - Virtual Concept 2010 Grinding of glass parameters optimization • Wheel speed: 20 +/- 10 m/s valleys on the surface and therefore the fracture risk of the • Depth of cut: 0.8 +/- …
In this study, the surface grinding process parameters were optimized by using Taguchi method and Response Surface Methodology (RSM). The process parameters considered in this study are grinding wheel abrasive grain 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.
Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique Published on Jan 1, 2015 Surface finish and dimensional accuracy play a …
In this paper, three optimization algorithms which are particle swarm optimization (PSO), gravitational search, and Sine Cosine algorithms are employed to optimize the grinding process parameters that may either reduce the cost, increase the productivity or obtain the finest surface finish and resulting a higher grinding process performance.
OPTIMIZING THE PROCESS PARAMETERS OF ELID To obtain better surface finish ELID grinding technique is being adopted A good understanding of the relationship between the work materials, cutting tool materials, cutting conditions and the process parameter is an essential requirement for the optimization of the grinding process [35] More
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. 2. Methodology
mized process parameters on machining of EDM using Taguchi method [13]. Taguchi method is powerful approach to optimize the process parameter and efficient method over a variety of operating conditions. In this study, Taguchi based L27 orthogonal array was selected to optimize the cylindrical grinding process parameters for Al/SiC composites. A
size, and grinding wheel speed. The input process parameters considered are material hardness, work piece speed and depth of cut. The main objective is to predict the surface roughness and achieve optimal operating process parameters. For optimization process Taguchi optimization method and genetic algorithm are used.
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
The research results provide a theoretical basis for the optimization of grinding process parameters and enhance the intelligent degree of precision grinding. Keywords . Grinding, active measurement, grey relation, grey target decision making, parameter optimization. References. 1.
This paper presents the optimization aspects of process parameters of three machining processes including an advanced machining process known as abrasive water jet machining process and two important conventional machining processes namely grinding and milling. A recently developed advanced optimization algorithm, teaching–learning-based ...
one needs to understand the relationship of grinding parameters like chip thickness, surface speed, specific material removal rate and the maximum material removal rate (Refs. 2, 5, 10). Experimentation. In order to study the impact of the process parameters on the grinding process, five components were selected, as per the gear
Optimization of Internal Cylindrical Grinding Process Parameters for SAE 52100 Steel using Taguchi Method ... method of optimization. 3.1.1 Selection of Parameters and Levels Table 3.1 represents process parameters along with their various levels used in experimentation. Parameter ranges
1.Review of Analysis & Optimization of Cylindrical Grinding Process Parameters on oEn15AM Steel Grinding process is surface finishing process generally used to smoothen the surfaces by removing the limited quantity of material from the already machined surfaces. Cylindrical grinding or abrasive machining is the most
To obtain optimum strength properties, the recommended optimum process parameters are found to be A = 12 h, B = 0.8, C = aggregate size mix 1, D = 40°C, and E = 90 r/min. Experimental modal analysis also revealed that the damping factor of EG composite with aggregate mass fraction B = 0.8 is 10 times higher than that of CI.
In this article, new research on the multi-objective optimization of the process parameters applied to enhance the efficiency in the shoe-type centerless grinding operation for the inner ring raceway of the ball bearing made from SUJ2 alloy steel is presented. The four important input parameters for this process, which included the normal feed rate of fine grinding (Snf), the speed of the ...
The proposed grinding process parameters optimization method can obtain the best combination of process parameters and can effectively improve processing quality and processing efficiency. Expand. 1. View 1 excerpt, cites background; Save. Alert. Research Feed. References. SHOWING 1 …
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.
6.Sijo M.T and Biju N, 2010, "Taguchi method for optimization of cutting parameters in Turning Operations" AMAE.2010.01.536 pp-103-105. 7.M.Janardhan and Dr. A. Gopala Krishna (2011)"Determination and optimization of cylindrical grinding process parameters using Taguchi method and Regression Analysis" International Journal of
optimization of cylindrical grinding process parameters using taguchi method and regression analysis", International Journal of Engineering Science and T echnology, vol. 3, pp.
Electrical Discharge Machining (EDM) is a thermal energy based non-traditional shaping process for shaping of hard and brittle electrically conductive materials, but it suffers with low machinabili...
The input process parameters considered are material hardness, work piece speed and depth of cut. The main objective is to predict the surface roughness and achieve optimal operating process parameters. In this study, the Taguchi method that is a powerful tool to design optimization for quality is used to find the optimum surface roughness in ...
A scatter search-based optimization approach has been developed to optimize the grinding parameters (i.e. wheel speed, workpiece speed, depth of dressing and lead of dressing) using a multi-objective function model with a weighted approach for the surface grinding process, and results were compared with the results obtained by the ants-colony ...
[6] M.S. Sukumar,P.Venkata Ramaiah. A. Nagarjuna, Optimization and Prediction of Parameters in Face Milling of Al-6061 Using Taguchi and ANN Approach,GCMM 2014 [7] M.Aravind, Dr.S.Periyasamy. Optimization of Surface Grinding Process Parameters By Taguchi Method And Response Surface Methodology, IJERT Vol. 3 Issue 5, May 2014
Optimization. Enumeration. Burn-free. 1. Introduction. During a grinding process, the work is forced against an abrasive wheel. As a result, material in the form of small chips is removed from the work piece. The rate of material removal depends upon the process variables, such as, wheel parameters, speeds, machine, and coolant.
In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine.
Selection of parameters in machining process significantly affects quality, productivity, and cost of a component. This paper presents an optimization procedure to determine the optimal values of wheel speed, workpiece speed, and depth of cut in a grinding process considering certain grinding conditions. Experimental studies have been carried out to obtain optimum conditions. …
The influence of different process parameters on the grinding vibration of the blisk-blade was quantified, and the optimal combination of process parameters was obtained. Finally, the feasibility of process parameter optimization was verified experimentally. Studies have shown that the weak stiffness of the blisk-blade grinding system always ...
nozzle angle on surface roughness and material removal rate (MRR) during grinding. RSM is used for optimization of process. Tejendrasinh S Raol et. al. [8] investigated the effect of process parameters on surface roughness of fused deposition modelling built parts. RSM was used to conduct experiments.
Grinding is the final processing procedure and an important step in determining product quality, and therefore merits special attention and study. Investigators have conducted a lot of studies on the optimization of process parameters in the field of grinding. Some research focused on increasing MRR on the basis of the prediction model of MRR.
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 …
grinding parameters with the machining performances. The empirical models generated so are then used for predicting the optimal grinding process parameters. The optimization is carried out by employing Simulated Annealing and Genetic Algorithm (GA) approaches. Simulated Annealing (SA) is a popular meta–heuristic optimization
Naresh Kumar et al. [2] worked on cylindrical grinding of C40E steel is done for the optimization of grinding process parameters. During this experimental work input process parameters i.e. speed, feed, depth of cut are optimized by using Taguchi L9 orthogonal array. They concluded that surface roughness is minimum at the 210 rpm, 0.11mm/rev ...
To this end, a lot research has been carried out to decide optimum process parameters and to apply various optimization methods to grinding variables of wheel speed, workpiece speed, depth of dressing, and lead of dressing using a multi-objective function model weighted approach [9-13].Lee at al. [14] anticipated to solve the problem of ...
