C. Elangeswaran

Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing

Jens P. Wulfsberg, Adam Sanders, Chola Elangeswaran, 2016 .

Effect of post-treatments on the fatigue behaviour of 316L stainless steel manufactured by laser powder bed fusion

Filippo Berto, Chola Elangeswaran, C. Elangeswaran, 2019, International Journal of Fatigue.

Fatigue life prediction of a L-PBF component in Ti-6Al-4V using sample data, FE-based simulations and machine learning

C. Elangeswaran, L. Thijs, B. Van Hooreweder, 2022, International Journal of Fatigue.

Microstructural analysis and fatigue crack initiation modelling of additively manufactured 316L after different heat treatments

Chola Elangeswaran, C. Elangeswaran, K. Vanmeensel, 2020 .

Post‐treatment selection for tailored fatigue performance of 18Ni300 maraging steel manufactured by laser powder bed fusion

C. Elangeswaran, B. Van Hooreweder, A. Cutolo, 2020 .

Fatigue crack nucleation and growth in laser powder bed fusion AlSi10Mg under as built and post-treated conditions

C. Elangeswaran, A. Simar, Lv Zhao, 2021, Materials & Design.

Ductilisation and fatigue life enhancement of selective laser melted AlSi10Mg by friction stir processing

C. Elangeswaran, E. Maire, J. Buffière, 2019, Scripta Materialia.

Effect of Heat Treatments on Fatigue Properties of Ti–6Al–4V and 316L Produced by Laser Powder Bed Fusion in As-Built Surface Condition

Chola Elangeswaran, C. Elangeswaran, Brecht Van Hooreweder, 2019, TMS 2019 148th Annual Meeting & Exhibition Supplemental Proceedings.

On the Effect of the Stress Ratio on Fatigue Properties of Ti-6Al-4V Produced by Laser Powder Bed Fusion

C. Elangeswaran, B. Van Hooreweder, A. Cutolo, 2022, Material Design & Processing Communications.

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

C. Elangeswaran, B. Van Hooreweder, A. Cutolo, 2022, Materials Science and Engineering: A.

Predicting fatigue life of metal LPBF components by combining a large fatigue database for different sample conditions with novel simulation strategies

C. Elangeswaran, W. Desmet, J. Peirs, 2021, Additive Manufacturing.