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Institution

Qingdao Technological University

EducationQingdao, China
About: Qingdao Technological University is a education organization based out in Qingdao, China. It is known for research contribution in the topics: Lubrication & Grinding. The organization has 2461 authors who have published 2200 publications receiving 21608 citations.


Papers
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Journal ArticleDOI
TL;DR: Two triazole derivatives, 3,4-dichloro-acetophenone-O-1'-(1,3,4'-triazolyl)-methaneoxime (4-DTM) and 2,5-Dichloron-acethenone- O-1]-(1',3, 4'-triaxolyl)methANEoxime, were synthesized, and the inhibition effects for mild steel in 1 M HCl solutions were investigated by weight loss measurements, electrochemical tests and scanning electronic microscopy (SEM
Abstract: Two triazole derivatives, 3,4-dichloro-acetophenone-O-1'-(1',3',4'-triazolyl)-methaneoxime (4-DTM) and 2,5-dichloro-acetophenone-O-1'-(1',3',4'-triazolyl)-methaneoxime (5-DTM) were synthesized, and the inhibition effects for mild steel in 1 M HCl solutions were investigated by weight loss measurements, electrochemical tests and scanning electronic microscopy (SEM). The weight loss measurements showed that these compounds have excellent inhibiting effect at a concentration of 1.0 x 10(-3) M. The potentiodynamic polarization experiment revealed that the triazole derivatives are inhibitors of mixed-type and electrochemical impedance spectroscopy (EIS) confirmed that changes in the impedance parameters (R-ct and C-dl) are due to surface adsorption. The inhibition efficiencies obtained from weight loss measurements and electrochemical tests were in good agreement. Adsorption followed the Langmuir isotherm with negative values of the free energy of adsorption Delta G(ads)(o). The thermodynamic parameters of adsorption were determined and are discussed. Results show that both 4-DTM and 5-DTM are good inhibitors for mild steel in acid media.

493 citations

Journal ArticleDOI
TL;DR: In this article, a hybrid nanofluid consisting of MoS2 nanoparticles with good lubrication effect and CNTs with high heat conductivity coefficient is investigated for Ni-based alloy grinding.
Abstract: A nanofluid minimum quantity lubrication with addition of one kind of nanoparticle has several limitations, such as grinding of difficult-to-cutting materials Hybrid nanoparticles integrate the properties of two or more kinds of nanoparticles, thus having better lubrication and heat transfer performances than single nanoparticle additives However, the use of hybrid nanoparticles in nanofluid minimum quantity lubrication grinding has not been reported This study aims to determine whether hybrid nanoparticles have better lubrication performance than pure nanoparticle A hybrid nanofluid consisting of MoS2 nanoparticles with good lubrication effect and CNTs with high heat conductivity coefficient is investigated The effects of the hybrid nanofluid on grinding force, coefficient of friction, and workpiece surface quality for Ni-based alloy grinding are analyzed Results show that the MoS2/CNT hybrid nanoparticles achieve better lubrication effect than single nanoparticles The optimal MoS2/CNT mixing ratio and nanofluid concentration are 2:1 and 6 wt%, respectively

365 citations

Journal ArticleDOI
TL;DR: In this article, three triazole derivatives (4-chloro-acetophenone-O-1'-(1',3,4'-triazolyl)-metheneoxime (CATM), 4-methoxyl-acetphenone O-1'1',(1,3',4',4'), MATM, and 4-fluoro-acethenone O'1'-1',1', 3', 4', 3, 4', 5', 4, 5', 6', 7, 7)-methenoxime(F

360 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of adding molybdenum disulfide nanoparticles with a particle size of 50nm was studied for a numerical control precision surface grinder for plain grinding on a 45 steel workpiece.

344 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compared the performances of MQL grinding by using castor oil, soybean oil, rapeseed oil, corn oil, sunflower oil, peanut oil, and palm oil as base oils.

287 citations


Authors

Showing all 2472 results

NameH-indexPapersCitations
Zongjin Li8063022103
Jun Xu66100920967
Yu You Li6340112761
Folker H. Wittmann421445773
Xinwei Wang392088011
Weihua Li381655623
Chunwei Zhang362233197
Weihua Li361724683
Peng Zhang342553596
Liangfei Xu321593447
Dongshuai Hou321843556
Jie Zhao31902800
Dan Zhang312483316
Liang Zhang301203631
Yucheng Ding301843068
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
20222
202123
202034
201933
201845