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 AISI316 finding many appliions like Automotive
in a grinding process. Gupta et al.6 optimized grindingprocess parameters using a numerical method. Tawakoli et al.7 investigated the effects of a workpiece and grinding parameters on minimum quantity lubriion (MQL) and they compared the results with dry lubriion. Silva et al.7–9 investigated the effects of grinding
Review of Analysis & Optimization of Cylindrical Grinding Process Parameters on Material .. DOI: 10.9790/168412423543 org 36 Page The knowledge of grinding force is essential not only in the design of grinding machines and work
od is effective approach in optimization of cutting parameters for turning of S45C steel . Chen et al presented the optimized process parameters on machining of EDM using Taguchi method . Taguchi method is powerful approach to optimize the process parameter and efficient method over a variety of operating conditions.
May 30, 2018 · 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 cylindrical grinding parameters of austenitic stainless steel rods (AISI 316) by Taguchi method and found that Austenitic stainless steel produces good surface finish during cylindrical grinding process in optimum grinding parameters. Close tolerance can be achieved during cylindrical grinding.
Optimization of Process Parameters In Lapping of Stainless Steel written by M. R. Pratheesh Kumar, B. S. Arun, R. Aravind Babu published on 2013/09/23
This paper presents a literature collection on the experimental study and use of different optimization techniques on cylindrical grinding process parameters to measure the effects on Surface
Abstract: The selection of optimum machining parameters in any machining process involves multiple conflicting objectives and often solution to such problems is sought by converting them into a single composite objective. In this paper a truly multiobjective optimization of the grinding process is carried out by considering both the objectives involved simultaneously, as against the classical
Optimization of Surface Grinding Process Parameters for Minimum Surface Roughness in AISI 1080 Using Response Surface Methodology. Aravind Mohan. Conclusion In this study, response surface methodology was used for the optimization of grinding process. The response surface methodology gives good results with minimum number of experiments.
This paper presents an experimental research to build two regressions of the relationship between machining surface roughness and cutting parameters when grinding the ШX15 steels by Hai Duong grinding wheels. Two types of Hai Duong grinding wheel
Performance equations based on a model of the process are presented and then optimized. Tradeoff curves are established showing the best metal removal rate possible for given constraints on surface quality and at specified conditions of grinding wheel wear. Optimum values for the various parameters in the grinding process are also included.
II. To determine the significant grinding parameters on the key process performance responses. (Feed force, Feed, Depth of cut, Temperature, System Roughness) III. To optimize the grinding parameters. 3. Literature review Nowadays, grinding is a major manufacturing process which accounts for
show how our knowledge on grinding process can be used to predict the grinding behaviour and achieve optimal operating processes parameters. The knowledge is mainly in the form of physical and empirical models which describe various aspects of grinding process. The main objective in any machining process is to lessen the surface
cylindrical grinding machine using EN8 material (BHN=3035) and he found that the feed rate played vital role on responses surface roughness and metal removal rate than other process parameters. Lee  proposes a controloriented model for the cylindrical grinding process in the statespace format.
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
ABSTRACT Grinding is one of the most important processes for producing discrete components with high precision, and it accounts for about 20% to 30% of the total expenditure on machining operations in industrialized nations. So, it becomes imperative that the grinding process with its parameters must be understood properly to have good control over the quality, productivity, and cost aspects
optimize the grinding process parameters (grinding wheel speed, workpiece speed, depth of dressing, lead of dressing, contact area, grinding fluid, etc.) using a multiobjective function model with a weighted approach. The production costs, the production rate and the surface quality have been evaluated for the
MultiObjective Optimization of the Dressing Parameters in Fine Cylindrical Grinding %K fine cylindrical grinding dressing parameters diamond roller dressers multiobjective optimization %X The optimum conditions for dressing grinding wheels determined and recommended in the literature are valid only for particular types and tools of
Grinding performance was calculated by the measurement G ratio and surface finish. For improvement of grinding process a multiobjective process parameter optimization is performed by use of Taguchi based grey relational analysis. To identify most significant factor of process analysis of variance (ANOVA) has been used.
section. The parametric optimization of an NTM process is undertaken in mainly two stages, i.e. a) mathematical modelling of the optimization problem taking into consideration the relationship between the process parameters and performance measures (responses), and b) Optimization of the mathematical model in
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.
Our aim in this project is to make Mathematical Modeling and Optimization of Grinding Parameters for Minimum Surface Roughness and Maximum MRR. C. Methodology For present study, efforts were made to find experiment values of parameters on grinding machine and they were measured on the
Mar 17, 2009 · This paper presents a novel dynamic optimization framework for the grinding process in batch production. The grinding process exhibits timevarying characteristics due to the progressive wear of the grinding wheel.
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.
on cylindrical grinding machine for studying the effect of process parameters on Surface Roughness and MRR in traverse cut cylindrical grinding machine on OHNS material. The process parameters considers for present work are: work speed, Feed rate and depth of cut. Three levels of parameters have been used during traverse cut . 216
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
between grinding wheel and tooth flank, process optimization is difficult. And in comparison with other grinding processes, these conditions clearly lead to varying grinding conditions along the profile. Examination of the complex geometrical and contact conditions requires fundamental technological investigations in an analogy process.
Aim in this project was to make optimization of grinding parameters for minimum surface roughness and maximum MRR. III. OPTIMIZATION OF PROCESS PARAMETERS TABLE NO 1: GRINDING PARAMETERS GRINDING PARAMETER DEPTH OF CUT IN MM (D) FEED RATE IN MM/REV (F) SPEED RPM (N) MATERIAL HARDNESS (HRC) Level 1 10 0.08 150 35 Level 2 15 0.14 250 45
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