Results 141 to 150 of about 47,471 (205)

Effects of Machining Parameters on Abrasive Flow Machining of Single Crystal γ-TiAl Alloy Based on Molecular Dynamics. [PDF]

Micromachines (Basel)
Li J, Song C, Du X, Xie H, Zhao J, Chen Y.   +5 more
europepmc   +1 more source

Whole-body inhalation study of nanoparticle-enhanced vegetable oil metalworking fluids in mice for assessing occupational health risks. [PDF]

Sci Rep
Vardhanapu M, Chaganti PK, Ghosh A, Mahale A, Kulkarni OP.   +4 more
europepmc   +1 more source

An experimental and modelling approach to proclaim sustainable machining using avocado oil-based nano-cutting fluids. [PDF]

Sci Rep
Anebo AA, Chenrayan V, Shahapurkar K, Gebremaryam G, Petrů J, Soudagar MEM, Bhaviripudi VR, Rajagopal R, Bashir MN.   +8 more
europepmc   +1 more source

Charge/stiffness-tunable nano-microsphere overcomes intestinal mucosal barrier for rheumatoid arthritis treatment. [PDF]

Mater Today Bio
Zhu Y, Wang L, Zhang Y, Li G, Shi Z, Wang D, Wang Q, Yang X, Wang L, Shen J, Yang X.   +10 more
europepmc   +1 more source

Application of a Novel Temperature-Sensitive Polymer PNA-SiO₂ as a Rheological Agent in Geothermal Drilling. [PDF]

ACS Omega
Zhu W, Luo Y, Li H, Gong Y.
europepmc   +1 more source

Tribological Effects of Surface Biomimetic Micro-Nano Textures on Metal Cutting Tools: A Review. [PDF]

Biomimetics (Basel)
Sheng Z, Zhu H, He Y, Shao B, Sheng Z, Wang S.   +5 more
europepmc   +1 more source

Self-Organization of Redeposited Binder Nanoparticles in Cubic Boron Nitride Materials. [PDF]

Small
Pacella M, Robertson S, Dong J, Badiee A.   +3 more
europepmc   +1 more source

Enhanced operation of female reproductive microphysiological system (MPS) for rapid mechanistic study. [PDF]

Micro Nano Syst Lett
Lam PY, Kim S, Jung H, Cherukuri R, Menon R, Han A.   +5 more
europepmc   +1 more source

Paper-Based Microfluidic Chips for At-Home Point-of-Care Nucleic Acid Testing: Applications and Challenges. [PDF]

Diagnostics (Basel)
Liu H, Jia Y, Jiang Y, Nie Y, Hao R.
europepmc   +1 more source

Predicting Thermal Conductivity of Nanoparticle-Doped Cutting Fluid Oils Using Feedforward Artificial Neural Networks (FFANN). [PDF]

Micromachines (Basel)
Erdoğan B, Güneş A, Kılıç İ, Yaman O.   +3 more
europepmc   +1 more source