- Record: found
- Abstract: not found
- Article: not found
Electrical Discharge Machining of Engineered Al-22%SiC Metal Matrix Composite: Surface Roughness Analysis, Optimization, Economic Analysis, and Sustainability Assessment
Read this article at
ScienceOpenPublisher
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Most cited references51
- Record: found
- Abstract: not found
- Article: not found
A hybrid Taguchi-artificial neural network approach to predict surface roughness during electric discharge machining of titanium alloys
Sanjeev Kumar, Ajay Batish, Rupinder Singh … (2014)
- Record: found
- Abstract: not found
- Article: not found
Artificial neural network models for the prediction of surface roughness in electrical discharge machining
- Record: found
- Abstract: not found
- Article: not found
Multi-objective optimization of powder mixed electric discharge machining parameters for fabrication of biocompatible layer on β-Ti alloy using NSGA-II coupled with Taguchi based response surface methodology
Chander Prakash, Manish Kansal, Charanjit S. Pabla … (2016)