G. Sur
Mechanical Engineering · 2007–2009
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Mechanical Engineering — 7 citations into it; #2,610 of 8,300 by trust here, #5,612 by citations
Whom G. Sur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts G. Sur overall
Papers from G. Sur's perspective
Ordered by how strongly the researchers G. Sur trusts endorse each paper. Same corpus, a different order for every researcher.
- Development of Empirical Models for Surface Roughness Prediction in Finish Turning
- Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
- Beneficial effects of cryogenic cooling over dry and wet machining on tool wear and surface finish in turning AISI 1060 steel
- Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool
- Turkey's net energy consumption
- Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces
- An Introduction to Genetic Algorithms.
- FUNDAMENTALS OF NEURAL NETWORKS
- A genetic algorithmic approach for optimization of surface roughness prediction model
- Cryogenic machining of hard-to-cut materials
Their papers
- Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning (2007) — 811 citations
- The experimental investigation of the effects of uncoated, PVD- and CVD-coated cemented carbide inserts and cutting parameters on surface roughness in CNC turning and its prediction using artificial neural networks (2009) — 140 citations