Yigit Karpat

Mechanical Engineering · 2005–2012

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 41 citations into it; #526 of 8,300 by trust here, #2,699 by citations
• Biomedical Engineering — 29 citations into it; #752 of 10,734 by trust here, #3,551 by citations
• Materials Chemistry — 22 citations into it
• Civil and Structural Engineering — 13 citations into it
• Mechanics of Materials — 11 citations into it
• Electrical and Electronic Engineering — 8 citations into it; #1,301 of 16,539 by trust here, #6,291 by citations

Whom Yigit Karpat trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tugrul Özel
2. M. Calamaz
3. Gerry Byrne
4. D. Coupard
5. E. Zeren
6. R. Eberhart
7. Frans van den Bergh
8. Xiaowen Wang
9. Y. Chou
10. Ranga Komanduri

Who trusts Yigit Karpat overall

1. V. Gaitonde
2. Weixing Xu
3. Fuat Kara
4. Chung-Chen Tsao
5. Dilbag Singh
6. Arjan Siddhpura
7. R. Suresh
8. Y. Şahin
9. S. R. Karnik
10. Joaquim Ciurana

Papers from Yigit Karpat's perspective

Ordered by how strongly the researchers Yigit Karpat trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparing inertia weights and constriction factors in particle swarm optimization (Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512))
2. Development of a tool wear-monitoring system for hard turning
3. Cutting of Hardened Steel
4. Experimental investigation on CBN turning of hardened AISI 52100 steel
5. Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces
6. Development of Empirical Models for Surface Roughness Prediction in Finish Turning
7. Neural Networks: A Comprehensive Foundation
8. Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel
9. ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH
10. Tool nose radius effects on finish hard turning

Their papers

• Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts (2007) — 285 citations
• Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks (2005) — 739 citations
• Mechanistic force modeling for milling of unidirectional carbon fiber reinforced polymer laminates (2012) — 203 citations
• Temperature dependent flow softening of titanium alloy Ti6Al4V: An investigation using finite element simulation of machining (2011) — 166 citations
• Identification of Constitutive Material Model Parameters for High-Strain Rate Metal Cutting Conditions Using Evolutionary Computational Algorithms (2007) — 177 citations
• Predictive Analytical and Thermal Modeling of Orthogonal Cutting Process—Part I: Predictions of Tool Forces, Stresses, and Temperature Distributions (2006) — 146 citations