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Surface roughness and the material removal rate (MRR) are two important indicators during the grinding process. The former determines the surface quality while the latter reflects the grinding efficiency directly. In this paper, the two indicators are taken into consideration simultaneously and differently by converting them into a comprehensive goal with using weighting objective …
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
Table 3 Cylindrical Grinding parameters of surface roughness - "Effect of Process Parameters on Surface Roughness of Cylindrical Grinding Process on Ohns (Aisi 0-1) Steel Rounds using ANOVA" ... Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process.
M. Aravind, Dr. S. Periyasamy (2014) states that, the surface grinding process parameters can be 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
Optimization of Surface Grinding Process Parameters By Taguchi Method And Response Surface Methodology - written by M. Aravind, S. Periyasamy published on 2014/05/31 download full article with reference data and citations
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
Key words: Grinding, grinding process, surface grinding, cost optimization. 1. Introduction Grinding is a machining process which uses a grinding wheel as a cutting tool. It is a major machining process which accounts for about 20-25% of the total expenditures on machining operations in industries [1]. As a result, there have been many
Cylindrical grinding is very important process to improve quality of the component and to get precision dimensions with smooth surface finish. In the …
Surface finish and dimensional accuracy play a vital role in the today's engineering industry. There are several methods used to achieve …
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 ...
For Ti-6Al-4V grinding, Liu et al.8 implemented preliminary optimization of grind-ing parameters through orthogonal test and signal-to-noise ratio (SNR) analysis, and obtained the optimal combination of grinding process parameters by taking material removal rate and specific grinding energy as optimization objectives, and
Grinding cost is an essential factor in a grinding process. In external cylindrical grinding, there has been an absence of various input grinding process parameters which have significant effects on the grinding cost. This paper presents an optimization of the grinding cost to determine the optimum exchanged grinding wheel diameter based on the seven input …
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 ...
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
the continuous generation grinding process has gained much demand (Ref. 2). This process uses a threaded grinding wheel (abrasive material) and a diamond dresser as cutting tools for the grinding process. Although this process has been a well- estab-lished process, only limited scientific knowledge of the process exists (Ref. 1).
This paper introduces a study on multi-criteria optimization of the dressing parameters in surface grinding for 90CrSi tool steel. The aim of the study is to minimize the surface roughness, the normal shear force and maximize the grinding wheel life by using Taguchi method and Grey Relational Analysis (GRA). This multi-objective optimization is obtained by optimizing four …
Then optimization of cutting workpiece need to be defined. conditions, i.e. wheel speed, feed rate and depth of cut as well Using appropriate roughness parameters, the grinding process as manufacturing strategy, based on a design of experiments can be improved by the understanding and optimization of using response surface methodology (RSM) can ...
The hybrid particle swarm optimization regards the entire grinding process parameters (from rough grinding, semi-finish grinding, finish grinding to spark-out grinding) as a whole, and realizes the parameter optimization by considering multiple objectives and …
This process usually depends on the experience of operators, which directly affects the processing efficiency and intelligent control level. Aiming to optimize these grinding-process parameters, we propose a grey target decision-making method based on the uniform effect measure to realize the intelligent optimization of process parameters.
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.
Corpus ID: 201856955. Optimization of Internal Grinding Process Parameters on C40E Steel Using Taguchi Technique @inproceedings{Jeevanantham2017OptimizationOI, title={Optimization of Internal Grinding Process Parameters on C40E Steel Using Taguchi Technique}, author={S. Jeevanantham and N. M. Sivaram and D. S. Robinson Smart and S. …
This dynamic simulation of a SAG and two ball mills simulates the grinding process of one SAG Mill follwed by two ball mills with a sump, pump and a ... Linear Optimization Deterministic modeling process is presented in the context of linear programs (LP).
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.
The optimization results show that the precision, efficiency, and economy of the 20CrMnTiH gear grinding process have been improved via the comprehensive optimization of the grinding parameters. (1) The alloy material 20CrMnTiH is widely used in gear manufacturing, but difficult to process, and its quantity (efficiency) and quality (surface ...
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 ...
describe various aspects of grinding process. The main objective in any machining process is to minimize the surface roughness (Ra).In order to optimize these values taguchi method, is used. 2. Taguchi Method Taguchi method is the process of engineering optimization in a three step approach namely system design, parameter design and tolerance ...
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.
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
In this paper the Taguchi technique was utilized to optimize the process factors of constant speed horizontal surface grinding machine. The parameters considered were depth of cut grit size of grinding wheel and feed. …
Optimization of Surface Grinding Process Parameters By Taguchi Method And Response Surface Methodology 1721 Vol. 3 Issue 5, May - 2014 International Journal of Engineering Research & Technology ...