Four CrAlN coatings with various Al content were prepared by arc ion plating technology under different target currents. The effect of the Al content on the microstructure, chemical compositions, element chemical bond...Four CrAlN coatings with various Al content were prepared by arc ion plating technology under different target currents. The effect of the Al content on the microstructure, chemical compositions, element chemical bonding states and mechanical properties of the CrAlN coatings was analyzed. X-ray diffraction results show that the primary phase of the CrAlN coating is fcc-（Al, Cr）N when the Al content is about 44.02 at.%. However, when the Al content increases to about 53.34 at.%, hcp-AlN phase emerges in the coating. And the hcp-AlN phase becomes the main phase in the CrAlN coating with Al content of about 69.55 at.%. Cross-sectional images show that all the four coatings possess dense structures and the deposition rate of Al atom is higher than that of Cr atom. The hardness of the CrAlN coating with Al content about 44.02 at.% is the largest （3149.72 HV） due to the solid solution hardening effect of the Al element. When the hcp-AlN phase is generated in the CrAlN coating, the hardness declines. The tribological experiment shows that the wear resistance of the CrAlN coating decreases gradually with increasing Al content when sliding against 100Cr6 steel ball.展开更多
A dynamic imaging method for monitoring self-potential data was proposed.Based on the Darcy’s law and Archie’sformulas,a dynamic model was built as a state model to simulate the transportation of metallic ions in po...A dynamic imaging method for monitoring self-potential data was proposed.Based on the Darcy’s law and Archie’sformulas,a dynamic model was built as a state model to simulate the transportation of metallic ions in porous medium,and theNernst equation was used to calculate the redox potential of metallic ions for observation modeling.Then,the state model andobservation model form an extended Kalman filter cycle to perform dynamic imaging.The noise added synthetic data imaging testshows that the extended Kalman filter can effectively fuse the model evolution and observed self-potential data.The further sandboxmonitoring experiment also demonstrates that the self-potential can be used to monitor the activities of metallic ions and exactlyretrieve the dynamic process of metallic contamination.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos.51501130 and 51301181)the Tianjin Key Research Program of Application Foundation and Advanced Technology (Grant No.15JCZDJC39700)+2 种基金the Innovation Team Training Plan of Tianjin Universities and colleges (Grant No.TD12-5043)the Tianjin Science and Technology Correspondent Project (16JCTPJC49500)the Research Development Foundation of Tianjin University of Technology and Education (Grant No.KYQD14046)
文摘Four CrAlN coatings with various Al content were prepared by arc ion plating technology under different target currents. The effect of the Al content on the microstructure, chemical compositions, element chemical bonding states and mechanical properties of the CrAlN coatings was analyzed. X-ray diffraction results show that the primary phase of the CrAlN coating is fcc-（Al, Cr）N when the Al content is about 44.02 at.%. However, when the Al content increases to about 53.34 at.%, hcp-AlN phase emerges in the coating. And the hcp-AlN phase becomes the main phase in the CrAlN coating with Al content of about 69.55 at.%. Cross-sectional images show that all the four coatings possess dense structures and the deposition rate of Al atom is higher than that of Cr atom. The hardness of the CrAlN coating with Al content about 44.02 at.% is the largest （3149.72 HV） due to the solid solution hardening effect of the Al element. When the hcp-AlN phase is generated in the CrAlN coating, the hardness declines. The tribological experiment shows that the wear resistance of the CrAlN coating decreases gradually with increasing Al content when sliding against 100Cr6 steel ball.
基金Project(41574123) supported by the National Natural Science Foundation of ChinaProject(2013FY110800) supported by the National Basic Research Scientific Program of China
文摘A dynamic imaging method for monitoring self-potential data was proposed.Based on the Darcy’s law and Archie’sformulas,a dynamic model was built as a state model to simulate the transportation of metallic ions in porous medium,and theNernst equation was used to calculate the redox potential of metallic ions for observation modeling.Then,the state model andobservation model form an extended Kalman filter cycle to perform dynamic imaging.The noise added synthetic data imaging testshows that the extended Kalman filter can effectively fuse the model evolution and observed self-potential data.The further sandboxmonitoring experiment also demonstrates that the self-potential can be used to monitor the activities of metallic ions and exactlyretrieve the dynamic process of metallic contamination.
