Gokula Krishna Muralidharan

Author

Ablynx (Belgium)

Also Known As

G. K. Muralidharan, G. Muralidharan, G.K. Muralidharan, Gokula Krishna Muralidharan, Gokula Krishna Muralidharan

Publications

403

Citations

H-Index

Concepts

All Affiliations

Ablynx (Belgium)KU Leuven 3D Systems (Belgium)Flanders Make (Belgium)Software (Germany)

About

Gokula Krishna Muralidharan is an author at Ablynx (Belgium) specializing in engineering, mechanical engineering, and materials science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	349
2	Mechanical Engineering	5	5	338
3	Materials Science	4	4	288
4	Industrial Engineering	1	1	37
5	Materials Engineering	1	1	11

Gokula Krishna Muralidharan

Publications

349

Citations

H-Index

Page 1

	Year	Citations
Effect of post-treatments on the fatigue behaviour of 316L stainless steel manufactured by laser powder bed fusion Chola Elangeswaran, Antonio Cutolo, Gokula Krishna Muralidharan, International Journal of Fatigue Materials ScienceAdvanced Laser ProcessingEngineeringPowder MetallurgyStainless Steel	2019	187
Microstructural analysis and fatigue crack initiation modelling of additively manufactured 316L after different heat treatments Chola Elangeswaran, Antonio Cutolo, Gokula Krishna Muralidharan, Materials & Design Materials ScienceEngineeringPowder MetallurgyMicrostructural AnalysisMechanical Behavior	2020	66
Predicting fatigue life of metal LPBF components by combining a large fatigue database for different sample conditions with novel simulation strategies Chola Elangeswaran, Antonio Cutolo, Simone Gallas, Additive manufacturing Fatigue LifeReliability EngineeringEngineeringFatigue ManagementService Life Prediction	2021	37
On the role of building orientation and surface post-processes on the fatigue life of Ti-6Al-4V coupons manufactured by laser powder bed fusion Antonio Cutolo, Chola Elangeswaran, Gokula Krishna Muralidharan, Materials Science and Engineering A Materials ScienceFatigue LifeEngineeringPowder MetallurgyMechanical Engineering	2022	24
Fatigue life prediction of a L-PBF component in Ti-6Al-4V using sample data, FE-based simulations and machine learning Antonio Cutolo, Nicolas Lammens, Koen Vanden Boer, International Journal of Fatigue EngineeringMachine LearningService Life PredictionLife PredictionMechanical Engineering	2022	24
Analysis of precipitation in cast alloy 718 Gokula Krishna Muralidharan, R. G. Thompson, Scott D. Walck Ultramicroscopy Materials EngineeringMaterials ScienceEngineeringCorrosionAlloy Design	1989	11

Page 1