Study the Effect of Machining Parameters in Electric Discharge Machining of EN 31 Die Steel

2015 ◽  
Vol V4 (11) ◽  
Author(s):  
Sanjeev Sharma ◽  
Rajdeep Singh ◽  
Sandeep Jindal ◽  
Keyword(s):  
Electric Discharge ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Die Steel ◽  
En 31

scholarly journals Experimental Investigation of the Micro-hardness of EN-31 Die Steel in a Powder-Mixed Near-Dry Electric Discharge Machining Method

2020 ◽  
Vol 66 (3) ◽  
pp. 184-192 ◽  
Author(s):  
Sanjay Sundriyal ◽  
Vipin ◽  
Ravinderjit Singh Walia
Keyword(s):  
Process Parameters ◽  
Electric Discharge ◽  
Dielectric Medium ◽  
Metallic Powder ◽  
Micro Hardness ◽  
Electric Discharge Machining ◽  
Environmental Friendliness ◽  
Die Steel ◽  
En 31 ◽  
Tool Diameter

The Powder-Mixed Near-Dry Electric Discharge Machining (PMND-EDM) methodology has proven to be efficient in terms of machining rate, surface morphology, and environmental friendliness, unlike traditional EDM. In this study, the presence of a conductive metallic powder (zinc) in the dielectric medium was responsible for changing the topography of the workpiece (EN-31) and resulted in a higher micro-hardness value of the machined component. In this research, an approach has been made to optimize the significant process parameters by using a Taguchi L9 orthogonal array (OA) to obtain machined components with higher values of micro-hardness, which was measured in terms of Vickers hardness HV. The selected process parameters were tool diameter, mist flow rate, metallic powder concentration, and dielectric mist pressure. By introducing foreign particles (metallic powder), the topography of the machined products has been improved, and the micro-hardness value was found to be enhanced. The confirmation experiment was performed for optimal process parameter settings, and the enhanced microhardness value was found to be 506.63 HV in the machined EN-31 die steel.

Prediction of optimum electric discharge machining parameters for AA7075-SiC composites

2020 ◽  
Vol 27 ◽  
pp. 1192-1196
Author(s):  
S. Sakthivelu ◽  
P.P. Sethusundaram ◽  
M. Meignanamoorthy ◽  
S. Dinesh Kumar ◽  
C. Chanakyan ◽  
...  
Keyword(s):  
Electric Discharge ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Sic Composites

scholarly journals Optimization of machining parameters in Electric Discharge Machining of Magnesium and Aluminium by Taguchi Technique

2020 ◽  
Vol 764 ◽  
pp. 012052
Author(s):  
A Tajdeen ◽  
E SakthivelMurugan ◽  
M Wasim khan ◽  
S Praveen Kumar ◽  
M PraveenKumar ◽  
...  
Keyword(s):  
Electric Discharge ◽  
Machining Parameters ◽  
Taguchi Technique ◽  
Electric Discharge Machining

Nano Graphite Powder Assisted Electric Discharge Machining Characteristics of ZM21 Magnesium Alloy

2015 ◽  
Vol 787 ◽  
pp. 406-410
Author(s):  
S. Santosh ◽  
S. Javed Syed Ibrahim ◽  
P. Saravanamuthukumar ◽  
K. Rajkumar ◽  
K.L. Hari Krishna
Keyword(s):  
Magnesium Alloy ◽  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Zm21 Magnesium Alloy ◽  
Pulse On Time ◽  
Pulse Off Time

Magnesium alloys are used in many applications, particularly in orthopaedic implants are very difficult to machine by conventional processes because of their complex 3D structure and limited slip system at room temperature. Hence there is an inherent need for alternative processes for machining such intricate profiles. Electric Discharge Machining is growing rapidly in tool rooms, die shops and even in general shop floors of modern industries to facilitate complex machining for difficult-to-machine materials and provide better surface integrity. Therefore, the use of electric discharge machining on ZM21 magnesium alloy is attempted in this paper. Nanographite powder is added for machining zone to enhance the electrical conductivity of EDM oil by way it improves the machining performance. Machining parameters such as the current, pulse on time and pulse off time were process parameters to explore their effects on the material removal rate and tool wear rate. It is observed that, an increased material removal rate was due to the enhanced electrical and thermal conductivity of the EDM oil.

Modelling and multi-response optimization of wire electric discharge machining parameters using response surface methodology and grey–fuzzy algorithm

2015 ◽  
Vol 231 (10) ◽  
pp. 1760-1774 ◽  
Author(s):  
Bikash Choudhuri ◽  
Ruma Sen ◽  
Subrata Kumar Ghosh ◽  
Subhash Chandra Saha
Keyword(s):  
Stainless Steel ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Electric Discharge ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Wire Electric Discharge Machining ◽  
Grey Relational ◽  
Stainless Steel 316

Wire electric discharge machining is a non-conventional machining wherein the quality and cost of machining are influenced by the process parameters. This investigation focuses on finding the optimal level of process parameters, which is for better surface finish, material removal rate and lower wire consumption for machining stainless steel-316 using the grey–fuzzy algorithm. Grey relational technique is applied to find the grey coefficient of each performance, and fuzzy evaluates the multiple performance characteristics index according to the grey relational coefficient of each response. Response surface methodology and the analysis of variance were used for modelling and analysis of responses to predict and find the influence of machining parameters and their proportion of contribution on the individual and overall responses. The measured values from confirmation experiments were compared with the predicted values, which indicate that the proposed models can be effectively used to predict the responses in the wire electrical discharge machining of AISI stainless steel-316. It is found that servo gap set voltage is the most influential factor for this particular steel followed by pulse off time, pulse on time and wire feed rate.

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