Impact of Input Parameters on Material Removal Speed When PMEDM SKD11 Tool Steel

2022 ◽  
pp. 459-467
Author(s):  
Le Hoang Anh ◽  
Hoang Xuan Tu ◽  
Le Thu Quy ◽  
Pham Duc Lam ◽  
Trinh Kieu Tuan ◽  
...  
Keyword(s):  
Tool Steel ◽  
Material Removal ◽  
Input Parameters

Optimization of process parameters of powder mixed EDM for high carbon high chromium alloy steel (D2 steel) through GRA approach

2018 ◽  
Vol 8 (4) ◽  
pp. 388-398 ◽  
Author(s):  
Kanwal Jit Singh
Keyword(s):  
Material Removal ◽  
Removal Rate ◽  
Chromium Alloy ◽  
High Carbon ◽  
Content Type ◽  
Practical Applications ◽  
Relational Analysis ◽  
Input Parameters ◽  
Grey Relational ◽  
D2 Steel

Purpose The purpose of this paper is to investigate the process parameters and optimise the machining input parameter of powder mixed electric discharge machining for high carbon high chromium alloy steel (D2 steel) for the industrial application. Grey relational analysis approach has been used to obtain the multiple performance output response. Design/methodology/approach In this experimental work, input parameters, namely, pulse on-time, discharge current, tool material and grit size, are selected. The design of the experiment has been constructed with the help of MINITAB 7 Software, in which L16 orthogonal array has been preferred for the experimentation. The effect of input parameters, namely, material removal rate, tool wear rate and surface roughness, is investigated. Grey relational analysis and analysis of variance are performed to optimise the input parameters and better output results. Findings In this experimentation, there is an increment of tool wear rate by 64.49 per cent, material removal rate by 47.14 per cent and surface roughness by 35.82 per cent. Practical implications A lot of practical applications have been found in many different material processing industries like metallurgy, machinery, electronics, transportation, military science, agricultural machinery, etc. These practical applications have brought forward definite and noticeable economic benefits. Originality/value The reader is given a general overview on the machining investigation and optimisation of processes parameters through the grey theory approach. It gives a new framework to investigate the problems where multiple input machining variable and various output responses are obtained in single optimised parameters.

Optimizing Dressing Conditions for Minimum Flatness Tolerance when Grinding SKD11 Tool Steel

2021 ◽  
Vol 1020 ◽  
pp. 83-90
Author(s):  
Thi Hong Tran ◽  
Tran Ngoc Giang ◽  
Ngoc Vu Ngo ◽  
Thanh Danh Bui ◽  
Thanh Tu Nguyen ◽  
...  
Keyword(s):  
Tool Steel ◽  
Feed Rate ◽  
Input Parameter ◽  
Experimental Results ◽  
Grinding Wheel ◽  
Input Parameters

This study is to determine effects of the dressing parameters to the flatness tolerance (Fl) when grinding SKD11 steel using HaiDuong grinding wheel and also propose the suitable dressing parameters to obtain the smallest flatness tolerance. In this paper, the effects of the six input parameters including feed rate (S), depth of rough dressing cut (ar), rough dressing times (nr), depth of finish dressing cut (af), finish dressing times (nf) and non-feeding dressing (nnon) to the flatness tolerance were investigated. To find out the influence of each input parameter on output results, the S/N ratio was analysized. Evaluated experimental results show that, the average flatness tolerance was 4.05μm and deviation of this value was 11.38% compared with the predicted value.

A Comparison of Generator Mode on the Performance of Finish EDM of AISI P20 Tool Steel

2004 ◽  
Author(s):  
Fred L. Amorim
Keyword(s):  
Tool Steel ◽  
Process Parameters ◽  
Material Removal ◽  
Removal Rate ◽  
Technical Information ◽  
Relaxation Mode ◽  
Workpiece Surface ◽  
Aisi P20 ◽  
Edm Process ◽  
Aisi P20 Steel

The AISI P20 steel is applied by the tooling industry as material for injection molding tools. It is known that the EDM process parameters technology installed at the majority of CNC EDM machines do not cover some of the necessities of the tooling industry. So, the customers are required to develop their own process parameters. In order to provide useful technical information to the industry an experimental investigation on the EDM of the AISI P20 tool steel under finish machining has been carried out. The material removal rate Vw, volumetric relative wear v and workpiece surface texture Ra, which are representative of EDM performance aspects, were analyzed against the variation of some of the most important EDM electrical variables using copper tool electrodes under positive and negative polarity. The EDM machine generator was also programmed to actuate under isoenergetic mode and relaxation mode. The results are discussed and some appropriate parameters for EDM of AISI P20 are suggested.

scholarly journals EFFECT OF PROCESS PARAMETERS FOR OPTIMUM MATERIAL REMOVAL RATE OF CYLINDRICAL GRINDING OF AISI 1045 STEEL

2015 ◽  
Vol 44 (2) ◽  
pp. 100-104
Author(s):  
Taranveer Singh ◽  
Khushdeep Goyal ◽  
Parlad Kumar
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Wheel Speed ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Input Parameters ◽  
Aisi 1045 ◽  
1045 Steel ◽  
Number Of Passes

In this experimental work, the effect of various input parameters viz. work speed, wheel speed,abrasive material, depth of cut, concentration of cutting fluid and number of passes has been studied on thematerial removal rate of cylindrical grinded AISI. For experimentation, three levels of each variable have beenselected except wheel speed. Two levels of wheel speed have been taken. Heat treated AISI 1045 has beenconsidered as work piece material. The result reveals that number of passes followed by the type of abrasivematerial is the most significant to influence material removal rate. The optimum set of input parameters formaximizing the material removal rate has also been found.

scholarly journals MECHANISM OF MATERIAL REMOVAL DURING DIE-SINKING EDM OF TOOL STEEL EN 90MnCrV8

2020 ◽  
Vol 2020 (2) ◽  
pp. 3955-3959 ◽  
Author(s):  
Luboslav Straka ◽  
Gabriel Dittrich
Keyword(s):  
Tool Steel ◽  
Material Removal

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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