Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Luo Tianhong is active.

Publication


Featured researches published by Luo Tianhong.


Acta Physico-chimica Sinica | 2011

Electrocatalytic Performance of Pd Catalyst Supported on Macropore Carbon for Oxidation of Formic Acid

Liu Chunyan; Xu Bin; Tang Yawen; Cao Gaoping; Yang Yusheng; Luo Tianhong

The electrocatalytic performances of a Vulcan XC-72 carbon black supported Pd (Pd/XC) catalyst and a macroporous carbon supported Pd (Pd/MC) catalyst for formic acid oxidation in a direct formic acid fuel cell were investigated and compared. This was carried out using X-ray energy dispersive spectroscopy (EDS), X-ray diffraction (XRD) spectroscopy, Raman spectroscopy, and electrochemical techniques. The cyclic voltammograms indicate that the main peak potentials for the oxidation of formic acid at the Pd/XC and Pd/MC catalyst electrodes are similar and they are located at about 0.15 V. However, the peak current density of the Pd/MC catalyst electrode is about 30% larger than that of the Pd/XC catalyst electrode. The chronoamperometric curves indicate that the peak current density at the Pd/MC catalyst electrode at 6000 s is about 38% larger than that at the Pd/XC catalyst electrode. These results show that the electrocatalytic activity and stability of the Pd/MC catalyst for the oxidation of formic acid are better than those of the Pd/XC catalyst. Because the average size and relative crystallinity of the Pd particles in the two catalysts are similar, the reason for the better electrocatalytic performance of the Pd/MC catalyst could be only attributed to its larger pore diameter and higher conductivity because of its high extent of MC graphitization.


Chinese Journal of Applied Chemistry | 2011

Preparation of Carbon Supported Ir-Co Catalyst and Its Electrocatalytic Performance for Ammonia Oxidation

Tang Yawen; Xie Guo-Fang; Kong Qiang-Mei; Chen Yu; Lu Lu-De; Luo Tianhong

The Ir-Co/C catalyst was prepared via a liquid phase reduction method.X-ray diffraction(XRD) and transmission electron microscope(TEM) results indicated that Co atoms enter the crystal lattice of Ir and form the Ir-Co alloy as evidenced by the lattice constriction of Ir and the aggregation of Ir particles could be suppressed.The electrochemical investigation illustrated that comparing with the Ir/C catalyst,the onset potential of the NH3 oxidation is negatively shifted about 100 mV,the peak current density is increased about 100% and the electrocatalytic stability is also increased at the Ir-Co/C catalyst.In addition,the sensitivity and the detection limit of NH3 are decreased at the Ir-Co/C catalyst.The results illustrate that the electrocatalytic performance of the Ir-Co/C catalyst for the NH3 oxidation is obviously better than that of the Ir/C catalyst.Thus,the Ir-Co/C catalyst has a potential application in the electrochemical NH3 sensor.


Chinese Journal of Applied Chemistry | 2011

Electrocatalytic Performance of Ir Catalyst Supported on Macropore Carbon for Ammonia Oxidation

Li Lin-Ru; Chen Chong; Xu Bin; Cao Gaoping; Yang Yusheng; Luo Tianhong

Macroporous carbon supported Ir(Ir/MC) and Vulcan XC-72 carbon supported Ir(Ir/XC) catalysts were prepared respectively.Based on the characterization of the catalysts using the energy dispersive spectroscopy,X-ray diffraction spectroscopy and Raman spectroscopy,the electrocatalytic performances of the two catalysts for the ammonia oxidation were investigated.It was found that the peak current density of the ammonia oxidation at the Ir/MC catalyst electrode is 38.7% larger than that at the Ir/XC catalyst electrode and the electrocatalytic stability of the Ir/MC catalyst is better than that of the Ir/XC catalyst.Because the average size and the relative crystallinity of the Ir particles in the Ir/MC catalyst is similar to that in the Ir/XC catalyst,the above results can be attributed to the larger pore size and porosity as well as the higher conductivity due to the high graphitization extent of MC.


Archive | 2014

Heavy-load precise double-arm manipulator with arms cooperating with each other in space

Luo Tianhong; Chen Cai; Luo Jiayuan; Dong Shaojiang; Zhu Sunke; Zheng Xunjia; Liu Miao; Ma Xiangyu; Zhang Jian


Acta Physico-chimica Sinica | 2006

Effect of Surface Modification Extent of Carbon Nanotubes on Electrocatalytic Performance of Carbon Nanotubes Supported Pt catalyst

Chen Yu; Tang Ya-Wen; Kong Ling-yong; Liu Chang-peng; Xing Wei; Luo Tianhong


Archive | 2014

Self-adaptation and self-balancing manipulator finger

Luo Tianhong; Ma Xiangyu; Dong Shaojiang; Luo Jiayuan; Chen Cai; Liu Miao; Zhang Jian


Acta Physico-chimica Sinica | 2009

Electrocatalytic Performance of Silicotungstic Acid Modified Carbon Supported Pd Catalyst for Oxidation of Fomic Acid

Yang Gai-Xiu; Chen Tingting; Tang Yawen; Luo Tianhong


Acta Physico-chimica Sinica | 2008

Electrocatalytic Oxidation of Ethanol on Pt/C Catalysts with Different Pt Particle Sizes

Tang Yawen; Ma Guo-Xian; Zhou Yi-Ming; Bao Jianchun; Lu Lu-De; Luo Tianhong


Archive | 2016

Obstacle crossing robot

Luo Tianhong; Jiang Haiyi; Chen Cai


Archive | 2015

Overloading precision redundant three-arm manipulator based on traveling crane

Luo Tianhong; Ma Li; Pan Xuejiao; Guo Yuan; Liu Lang; Chen Cai; Miao Changbin; Jiang Haiyi; Wang Qing; Shen Jinghui; Liu Miao; Ma Xiangyu; Huang Shifu; Zhang Jian

Collaboration


Dive into the Luo Tianhong's collaboration.

Top Co-Authors

Avatar

Tang Yawen

Nanjing Normal University

View shared research outputs
Top Co-Authors

Avatar

Zhang Jian

North China Electric Power University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Xing Wei

University of Science and Technology of China

View shared research outputs
Top Co-Authors

Avatar

Yang Yusheng

Beijing Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Bao Jianchun

Nanjing Normal University

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge