investigation for obtaining the optimal solution for improving the performance of wedm of super alloy udimet-l605 using particle swarm optimization
Clicks: 91
ID: 259931
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
27.0
/100
91 views
15 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #418 of 430 articles by views in International journal of molecular sciences
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 430 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The purpose of the current study is to increase the productivity, accuracy and reduce the cost of wire electric discharge machining of super alloy Udimet-L605. The pulse-on time, pulse-off time, peak current, wire tension, spark gap voltage, and wire feed rate have been considered as input variables in the experimental work on the wire electric discharge machining. The experimental work is planned on the basis of Taguchi’s L27 orthogonal array and obtained the optimal combination of process variables for high cutting speed and lowest dimensional deviation and wire wear ratio, individually. The linear regression model is used to describe the interplay amid the input and output variables. After that, the PSO algorithm is applied to the developed model to obtain the global best solution for the desirable consequences of cutting speed, dimensional deviation and wire wear ratio. It has been observed that pulse-on time have a momentous effect on the cutting speed, dimensional deviation and wire wear ratio. The SEM and EDX are used to observe the erosion and compositional changes occurred during WEDM. Keywords: Cutting speed, Wire wear ratio, Dimensional deviation, Udimet-L605, Particle swarm optimization, WEDM
| Reference Key |
nain2018engineeringinvestigation
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Somvir Singh Nain;Dixit Garg;Sanjeev Kumar |
| Journal | International journal of molecular sciences |
| Year | 2018 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.