Results 71 to 80 of about 167 (109)
The Chemistry-Process-Structure Relationships of a Functionally Graded Ti-6Al-4V/Ti-1B Alloy Processed with Laser-Engineered Net Shaping Creates Borlite. [PDF]
Materials (Basel)Seely D +5 more
europepmc +1 more source
Polymorphic Protein Crystal Growth: Influence of Hydration and Ions in Glucose Isomerase. [PDF]
Cryst Growth Des, 2014 Gillespie CM, Asthagiri D, Lenhoff AM.
europepmc +1 more source
Degradation signals for ubiquitin system proteolysis in Saccharomyces cerevisiae. [PDF]
EMBO J, 1998 Gilon T, Chomsky O, Kulka RG.
europepmc +1 more source
Early hepatic stages of Plasmodium berghei: release of circumsporozoite protein and host cellular inflammatory response. [PDF]
Infect Immun, 1992 Khan ZM, Ng C, Vanderberg JP.
europepmc +1 more source
Metallography, Microstructure, and Analysis, 2018 Continuous drive friction welding studies on IN718 and SS410 dissimilar combination have been investigated. The influence of friction-welded parameters on microstructure and mechanical properties was dealt in detail. Six different joints were fabricated by varying rotational speed and friction pressure, by keeping forging pressure and friction time as ...
S Rajakumar, Rajakumar S
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Process Modeling in Laser Deposition of Multilayer SS410 Steel
Journal of Manufacturing Science and Engineering, Transactions of the ASME, 2007A three-dimensional finite element model was developed to predict the temperature distribution and phase transformation in deposited stainless steel 410 (SS410) during the Laser Engineered Net Shaping (LENS™) rapid fabrication process. The development of the model was carried out using the SYSWELD software package. The model calculates the evolution of
Liang Wang, Sergio Felicelli
exaly +2 more sources
Surface Topography: Metrology and Properties, 2021
Abstract In recent years, applications of Machine Learning and Artificial Intelligence are gaining momentum to the production researchers to analyze the complex interdependencies present in the production dataset.
H Ramakrishnan, R Balasundaram
exaly +2 more sources
Abstract In recent years, applications of Machine Learning and Artificial Intelligence are gaining momentum to the production researchers to analyze the complex interdependencies present in the production dataset.
H Ramakrishnan, R Balasundaram
exaly +2 more sources