Results 91 to 100 of about 1,410,385 (128)

Uncovering hidden bias in neutron diffraction residual strain measurements. [PDF]

J Appl Crystallogr
Franz C, Prime M, Bunn J, Payzant A, Page K.   +4 more
europepmc   +1 more source

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy. [PDF]

PLoS One
Mishra A, Jatt V, Sefene EM, Salunkhe S, Cep R, Abouel Nasr E.   +5 more
europepmc   +1 more source

In-Situ Monitoring and Control of Additive Friction Stir Deposition. [PDF]

Materials (Basel)
Yasa E, Poyraz O, Do K, Molyneux A, McManus J, Hughes J.   +5 more
europepmc   +1 more source

Effect of Additive Friction Stir Deposition Processing on the Microstructure and Mechanical Properties of 1045 Steel. [PDF]

Materials (Basel)
Lei W, Ran X, Wang Q, Wu Y, Sun J, Zhang F, Huang S, Xiang L, Tao J, Chen Q.   +9 more
europepmc   +1 more source

Parametric optimization of FSAM-Fabricated Al7075/Graphene/B₄C hybrid composites using a Taguchi-ensemble machine learning framework. [PDF]

Sci Rep
Rohan, Sharma A, Ahmad A, Yadav AK.
europepmc   +1 more source

Beamless Metal Additive Manufacturing. [PDF]

Materials (Basel), 2020
Vaezi M, Drescher P, Seitz H.
europepmc   +1 more source

Microstructure Evolution and Mechanical Properties of 16-Layer 2195 Al-Li Alloy Components Manufactured by Additive Friction Stir Deposition. [PDF]

Materials (Basel)
Liu Q, Lai R, Wang H, Li Y, Li Y, Zhan L.   +5 more
europepmc   +1 more source

Multimodal defect analysis and application of virtual machining for solid-state manufactured aluminium structure. [PDF]

Prog Addit Manuf
Yakubov V, Ostergaard H, Bhagavath S, Leung CLA, Hughes J, Yasa E, Khezri M, Löschke SK, Li Q, Paradowska AM.   +9 more
europepmc   +1 more source

Evolution of Material Properties and Residual Stress with Increasing Number of Passes in Aluminium Structure Printed via Additive Friction Stir Deposition. [PDF]

Materials (Basel)
Yakubov V, Ostergaard H, Hughes J, Yasa E, Karpenko M, Proust G, Paradowska AM.   +6 more
europepmc   +1 more source

RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. [PDF]

Sci Rep
Venkatachalam K, Selvaraj SK, Mannayee G, Pattabiraman K, G S.   +4 more
europepmc   +1 more source