Optimization of Dressing Parameters in Surface Grinding SKD11 Tool Steel by Using Taguchi Method

2020 ◽  
pp. 636-647
Author(s):  
Tran Thi Hong ◽  
Nguyen Thanh Tu ◽  
Nguyen Anh Tuan ◽  
Tran Ngoc Giang ◽  
Nguyen Thi Quoc Dung ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Tool Steel ◽  
Surface Grinding

Multi-Criteria Optimization of Dressing Parameters for Surface Grinding 90CrSi Tool Steel Using Taguchi Method and Grey Relational Analysis

2020 ◽  
Vol 998 ◽  
pp. 61-68 ◽  
Author(s):  
Tran Thi Hong ◽  
Nguyen Van Cuong ◽  
Le Hong Ky ◽  
Quoc Tuan Nguyen ◽  
Banh Tien Long ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Tool Steel ◽  
Grey Relational Analysis ◽  
Surface Grinding ◽  
Grinding Wheel ◽  
Multi Objective Optimization ◽  
Relational Analysis ◽  
Proposed Model ◽  
Predicted Model ◽  
Grey Relational

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 four-level and two two-level dressing parameters in sixteen experiments based on an orthogonal array L16(44×22). From the results of the study, the optimum dressing parameters were proposed. Also, to evaluate the optimum dressing model, an experiment was performed. The results of the comparison between the predicted model and the experiment show that the proposed model has been proven and it can be used for further applying of surface grinding.

scholarly journals An analysis of frictional coefficient and surface roughness in surface grinding of SKD 11 tool steel using Minimum Quantity Lubrication (MQL) and dry techniques

2021 ◽  
Vol 1034 (1) ◽  
pp. 012100
Author(s):  
M. Khoirul Effendi ◽  
Bobby O. P. Soepangkat ◽  
Rachmadi Noorcahyo ◽  
I Made Londen Batan ◽  
Arif Wahyudi ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Tool Steel ◽  
Frictional Coefficient ◽  
Minimum Quantity Lubrication ◽  
Surface Grinding ◽  
Minimum Quantity

scholarly journals Experimental Study on The Effect of Cross Feed of Surface Grinding on the Vibration and the Surface Roughness of Hardened Tool Steel OCR12VM

2020 ◽  
Vol 11 (3) ◽  
pp. 313-322
Author(s):  
Chairul Anam ◽  
◽  
Khairul Muzaka ◽  
Dian Ridlo Pamuji
Keyword(s):  
Surface Roughness ◽  
Tool Steel ◽  
Dimensional Accuracy ◽  
Surface Grinding ◽  
Machining Process ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Hardened Tool Steel ◽  
Stone Type ◽  
Grinding Stone

The grinding process is a machining process to obtain qualified surface roughness levels and high dimensional accuracy. There are two types of processes in the grinding process, namely the roughening and finishing processes. The vibration effect of the roughing process can damage and shorten the life of the tool/machine, while in the finishing process, the effect of vibration will reduce the dimensional accuracy, shape, and surface smoothness of the workpiece. This study aims to determine the effect of crossfeed on the amplitude of vibration and surface roughness of the workpiece on the surface grinding process. The materials used are hardened tool steel OCR12VM with a variety of grinding stone types A46QV and A80LV made of aluminum oxide. The Variables of process parameters are crossfeed (mm / step) and depth of cut (mm). The measurement of vibrations uses an accelerometer, which is processed by the math CAD program in the form of amplitude and frequency. For surface roughness measurements, it is used the MT-301 surface test with 5 sample points and a sample length of 0.8 mm. The results show that the greater the cross-feed value, the bigger the amplitude of the vibration level and the surface roughness of the workpiece. The magnitude of the amplitude of the vibration on the acceleration that occurs in the grinding stone type A46QV starts from 6,7369 -18.7525 g.rms, while the grinding stone type A80LV starts from 5.0904 g.rms to 18.2821 g.rms. The surface roughness achieved in both grit 46 and grit 80 is from N3 to N5.

Effect of Dressing Parameters on Material Removal Rate when Surface Grinding SKD11 Tool Steel

2021 ◽  
Vol 1020 ◽  
pp. 60-67
Author(s):  
Thi Hong Tran ◽  
Thanh Danh Bui ◽  
Nguyen Anh Tuan ◽  
Vu Trung Tuyen ◽  
Luu Anh Tung ◽  
...  
Keyword(s):  
Tool Steel ◽  
Material Removal Rate ◽  
Material Removal ◽  
Optimization Problem ◽  
Removal Rate ◽  
Optimal Solution ◽  
Surface Grinding ◽  
Machining Process ◽  
The Real ◽  
The Difference

Nowadays, surface grinding is one of the most common of metal finishing methods. The efficiency of this process is affected by the so-called process parameters such as dressing feed rate (S), rough dressing depth (ar), rough dressing times (nr), fine dressing depth (af), fine dressing times (nf), and non-feeding dressing (nnon). etc. In this paper, the optimization of dressing parameters in surface grinding SKD11 tool steel is studied. The aim of the study is to find the most appropriate value set of dressing parameters to maximize the material removal rate (MRR). In order to solve the problem, the Taguchi method is used. Based on an orthogonal array L16(44x22), sixteen experiments have been conducted. By analyzing the experimental results, an optimal solution of such optimization problem has been solved, presenting the most appropriate dressing parameters as follows: ar = 0.015 mm, nr = 2 times, af = 0.005 mm, nf = 0 times, nnon = 0 times, S = 1.6 m/min. The discovered technology mode has been applied to the real machining process and the outcome shows out a much better result in comparison with default setting modes, that the difference between the model values and the real values of the roughness average is controlled within 3.87% of the ranges.

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