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Wear Evaluation on Ni_3Al/MnS Composite Related to Metallurgical Processes

Journal of Iron and Steel research International 2012年第7期19卷 46-54页

作者： Karin Gong LUO He-li ZHOU Zhi-feng TIAN Zhi-ling Lars Nyborg LI Chang-hai Department of Materials and Manufacturing Technology Chalmers University of Technology Gothenburg Se-412 96 Sweden China Iron and Steel research Institute group Beijing 100081 China Department of Manufacturing engineering and engineering Management City University of Hong Kong Hong Kong China

Iron alloyed Ni3Al with composition of Ni-18. 8Ab10. 7Fe-0. 5Mn-0. 5Ti-0. 2B in atom percent （NAC alloy） showed attractive tribological properties under unlubrication condition at room temperature. The alloy was prepared by hot isostatic pressing （HIP） process. The wear properties were associated with its intrinsic deformation mechanism. Unfortunately, the single phase NAC-alloy worked inadequately with its counterpart disk, and also showed a poor machinability. In the present work, NAC-alloy matrix composite with 6 % （volume percent） MnS particle addi- tion was studied to improve its wear behaviors and performance on machining. Two metallurgical processes of HIP and vacuum casting were applied to produce the testing materials. Pin-on-disk （POD） measurements were carried out at room temperature. A commercial vermicular graphite cast iron was selected as a reference material. The counter- part disk was made of a grey cast iron as liner material in ship engines. The contact pressures of 2.83 MPa and 5.66 MPa were normally applied in the tests. The investigation indicated that MnS particle addition in the NAC-alloy composites functions as an effective solid lubricant, and improved wear properties and machinability of the materials. Obvi- ously, as-cast NAC-alloy with in-situ formed MnS-phase was working more effectively with the counterpart, compa- ring to the HIPed NAC-alloy composite with MnS particles. At the high contact pressure of 5.66 MPa, the specific wear rate of the as-cast NAC-alloy composite was high. The phenomenon of the negative effect is mostly due to the brittle second NiAl phase as evidenced in the microstructure analysis.

关键词： HIP processing friction coefficient specific wear rate intermetallics sliding wear casting machinability

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Leg amputees motion pattern recognition based on principal component analysis and BP network

Leg amputees motion pattern recognition based on principal c...

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第25届中国控制与决策会议

作者： LIU Lei YANG Peng LIU Zuojun GENG Yanli ZHANG Jun School of Control Science and engineering Hebei University of Technology Aerospace Science and technology group - eighth tthird fifth seventh research Institute

ISBN: (纸本)9781467355339

The problem is the poor gait recognition accuracy for existing power-type prosthetic knee control. In order to improve the accuracy of the classification of prosthetic control system, the paper first analysel the signal acquisition of MMA7361L acceleration sensor and ENC-03 Gyro using the principal component analysis （PCA）. It is used for the feature extraction, finally the BP neural network is used for training and testing. The experiment results show that this method can recognize lower limb prosthesis walking uphill, downhill, up and down stairs and different movement pattern recognition quickly and effectively.

关键词： Gyroscope Accelerometer Principal Component Analysis BP algorithm

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Electrical Derivative Measurement of High-Power InGaAs LDs Under Scanning Current with Variable Step

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Chinese Journal of Electronics 2017年第3期26卷 508-513页

作者： TAO Min GUAN Jian GAO Fengli GAO Liangli CAO Junsheng State Key Laboratory on Integrated Optoelectronics College of Electronic Science and Engineering Jilin University The 27th research Institute China Electronics Technology Group Corporation Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences

For the large driving current of high-power semiconductor Laser diodes(LDs),a modified method to measure the electrical derivative of LDs under scanning driving current with variable step length is proposed,which is to achieve the fast and accurate measurement of optical and electrical characteristic parameters of LDs with a relatively small data *** experimental results show that,with fewer measurements,this method can effectively and accurately measure and extract the LDs corresponding parameters including threshold current(Ith),voltage-current characteristic(V-I),luminous power-current relation(P-I),electrical derivative curve(Id V/d I-I).The wavelet transformation singularity testing results of the threshold current also verify the accuracy,reliability,and advantage of this method.

关键词： Semiconductor laser diodes(LDs) Electrical derivative Scanning current Wavelet transform Singularity detection

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Tensile properties and fracture reliability of a glass-coated Co-based amorphous microwire

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International Journal of Minerals,Metallurgy and Materials 2014年第6期21卷 583-588页

作者： Xiao-dong Wang Huan Wang Hong-xian Shen Fa-xiang Qin Da-wei Xing Jing-shun Liu Dong-ming Chen Jian-fei Sun School of Materials Science and engineering Harbin Institute of Technology 1D Nanomaterials group National Institute for Material Science

Co68.15Fe4.35Si12.25B15.25 （at%） amorphous microwires with a smooth surface and a circular cross-section were fabricated by the glass-coated melt spinning method. Their mechanical properties were evaluated through tensile tests of the glass-coated amorphous mi-crowires, and their fracture reliability was estimated using two-and three-parameter Weibull analysis. X-ray diffraction and transmission electron microscopy results showed that these glass-coated Co-based microwires were mostly amorphous. The coated Co-based microwires exhibit a tensile strength of 1145 to 2457 MPa, with a mean value of 1727 MPa and a variance of 445 MPa. Weibull statistical analysis showed that the tensile two-parameter Weibull modulus of the amorphous microwires is 4.16 and the three-parameter Weibull modulus is 1.61 with a threshold value as high as 942 MPa. These results indicate that the fabricated microwires exhibit good tensile properties and fracture reliability, and thus appear to be good candidates for electronics reliability engineering applications.

关键词： cobalt alloys amorphous alloys glass fracture tensile testing

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Effects of Zr content on electrochemical performance of Ti/Sn-Ru-Co-ZrO_(x)electrodes

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International Journal of Minerals,Metallurgy and Materials 2022年第12期29卷 2181-2188页

作者： Linhui Chang Sheng Chen Xionghui Xie Buming Chen Haihong Qiao Hui Huang Zhongcheng Guo Ruidong Xu Faculty of Metallurgical and Energy engineering Kunming University of Science and TechnologyKunming 650093China research Center of Metallurgical Electrode Materials engineering Technology Kunming 650106China Kunming Hendera Science and Technology Co. Ltd.Kunming 650106China North Night Vision Technology research Institute group Co. Ltd.Optical CompanyKunming 650093China

The low cell voltage during electrolytic Mn from the MnCl_(2) system can effectively reduce the power *** this work,the Ti/Sn−Ru−Co−Zr modified anodes were obtained by using thermal decomposition *** physical parameters of coatings were observed by SEM(scanning electron microscope).Based on the electrochemical performance and SEM/XRD(X-ray diffraction)of the coatings,the influence of Zr on electrode performance was studied and *** the mole ratio of Sn−Ru−Co−Zr is 6:1:0.8:0.3,the cracks on the surface of coatings were the smallest,and the compactness was the best due to the excellent filling effect of ZrO_(2)***,the electrode prepared under this condition had the lowest mass transfer resistance and high chloride evolution activity in the 1mol%NH_(4)Cl and 1.5mol%HCl *** service life of 3102 h was achieved according to the empirical formula of accelerated-life-test of the new type anode.

关键词： Ti/Sn−Ru−Co−Zr anode electrochemical Mn electrowinning manganese chloride system service life

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Bacteriocin-like inhibitory substance (BLIS) activity of Streptococcus macedonicus MBF10-2 and its synergistic action in combination with antibiotics

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Asian Pacific Journal of Tropical Medicine 2017年第12期10卷 1140-1145页

作者： Sharon Edith Grazia Sumayyah Sumayyah Fakhri Subhana Haiti Muhamad Sahlan Nicholas C.K. Heng Amarila Malik Pharmaceutical Microbiology and Biotechnology research group Faculty of PharmacyUniversitas IndonesiaUI Campus DepokDepok 16424Indonesia Division of Bioprocess engineering Faculty of EngineeringUniversitas IndonesiaUI Campus DepokDepok 16424Indonesia research centre for biomedical engineering faculty of engineering universitas indonesiaui campus depok Sir John Walsh research Institute Faculty of DentistryUniversity of OtagoP.O. Box 56Dunedin 9054New Zealand

Objective: To characterize the bacteriocin-like inhibitory-substances(BLIS) activity of Streptococcus macedonicus MBF10-2 [named BLIS(MBF10-2)], a bacteriocinogenic strain isolated from an Indonesian tofu ***: BLIS(MBF10-2) was obtained by culturing the bacterium, and standard deferred antagonism assays were used to demonstrate its activity. The antibacterial testing of fractions collected by filtration using 3–30 kDa cut-off membrane sizes were carried out by performing well diffusion ***: The growth of Micrococcus luteus, Streptococcus pyogenes, Lactococcus lactis,Leuconostoc mesenteroides and Weissella confusa were inhibited by BLIS(MBF10-2).Interestingly, BLIS-containing fractions obtained from sequential application on ultrafiltration membranes indicated that this bacterium Streptococcus macedonicus MBF10-2 could produces at least two antimicrobial peptides activities, one of which is likely to be a lantibiotic peptide. Potential synergistic activity against certain Gram-positive(but not Gram-negative) species when partnered with antibiotics(ampicillin, tetracycline or kanamycin) were ***: Combination of some BLIS(MBF10-2) active fractions with antibiotics(ampicillin, tetracycline or kanamycin) could demonstrate synergistic activities against certain Gram-positive species.

关键词： Bacteriocin-like inhibitory substance Deferred antagonism assay Lantibiotic Protein fractionation Streptococcus macedonicus Well diffusion assay

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Investigation and Application of Non-sinusoidal Oscillation Technique of Mold

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Journal of Iron and Steel research International 2013年第12期20卷 19-24页

作者： ZHANG Xing-zhong ZHENG Xue-ran LIU Qing-guo LI Xian-kui FANG Yi-ming National engineering research Center for Equipment and Technology of C.S.R. Yanshan University National engineering research Center of Continuous Casting Technology

To improve the slab quality, a kind of non-sinusoidal oscillation technique of mold driven by elliptic gears was developed. The waveform functions of non-sinusoidal oscillation were determined, and the calculation method and curves of technological parameters for non-sinusoidal oscillation were given. At the case of waveform deviation factor a equal to 0.31 and oscillation amplitude h equal to ±2.7 mm, the relationship between oscillation frequency and casting speed is determined, and the technological parameters for non-sinusoidal oscillation are calculated. The testing results of industrial application indicated that this technique could not only improve the Slab surface quality, but also reduce the steel breakout.

关键词： continuous casting mold non-sinusoidal oscillation elliptic gear waveform oscillation technology parameter

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Integrating BIM and machine learning to predict carbon emissions under foundation materialization stage:Case study of China’s 35 public buildings

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Frontiers of Architectural research 2024年第4期13卷 876-894页

作者： Haining Wang Yue Wang Liang Zhao Wei Wang Zhixing Luo Zixiao Wang Jinghui Luo Yihan Lv School of Architecture Southeast UniversityNanjing 210096China Key Laboratory of Urban and Architectural Heritage Conservation(Southeast University) Ministry of EducationNanjing 210096China School of Architecture Xi’an University of Architecture and TechnologyXi’an 710055China Hubei Haizheng Technology Co. LtdWuhan 430000China School of Energy and Environment engineering Hebei University of EngineeringHandan 056038China State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyXi’an 710055China

For the significant energy consumption and environmental impact,it is crucial to identify the carbon emission characteristics of building foundations construction during the design *** study would like to establish a process-based carbon evaluating model,by adopting Building Information Modeling(BIM),and calculated the materialization-stage carbon emissions of building foundations without basement space in China,and identifying factors influencing the emissions through correlation *** five factors include the building function type,building structure type,foundation area,foundation treatment method,and foundation ***,this study develops several machine learning-based predictive models,including Decision Tree,Random Forest,XGBoost,and Neural *** these models,XGBoost demonstrates a relatively higher degree of accuracy and minimal errors,can achieve the RMSE of 206.62 and R2 of 0.88 based on testing group *** study reveals a substantial variability carbon emissions per building’s floor area of foundations,ranging from 100 to 2000 kgCO_(2)e/m^(2),demonstrating the potential for optimizing carbon emissions during the design phase of ***,materials contribute significantly to total carbon emissions,accounting for 78%e97%,suggesting a significant opportunity for using BIM technology in the design phase to optimize carbon reduction efforts.

关键词： Building foundations Carbon emissions Building information modeling Machine learning Sustainable architectural design

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Predicting triaxial compressive strength of high-temperature treated rock using machine learning techniques

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Journal of Rock Mechanics and Geotechnical engineering 2023年第8期15卷 2072-2082页

作者： Xunjian Hu Junjie Shentu Ni Xie Yujie Huang Gang Lei Haibo Hu Panpan Guo Xiaonan Gong research Center of Coastal and Urban Geotechnical engineering Zhejiang UniversityHangzhou310058China Faculty of engineering China University of Geosciences(Wuhan)Wuhan430074China School of Mechanical engineering North University of ChinaTaiyuan030051China Beijing Urban Construction Design and Development group Co. Ltd.Beijing100037China

The accurate prediction of the strength of rocks after high-temperature treatment is important for the safety maintenance of rock in deep underground *** machine learning(ML)techniques were adopted in this study,*** propagation neural network(BPNN),AdaBoost-based classification and regression tree(AdaBoost-CART),support vector machine(SVM),K-nearest neighbor(KNN),and radial basis function neural network(RBFNN).A total of 351 data points with seven input parameters(*** and height of specimen,density,temperature,confining pressure,crack damage stress and elastic modulus)and one output parameter(triaxial compressive strength)were *** root mean square error(RMSE),mean absolute error(MAE)and correlation coefficient(R)were used to evaluate the prediction performance of the five ML *** results demonstrated that the BPNN shows a better prediction performance than the other models with RMSE,MAE and R values on the testing dataset of 15.4 MPa,11.03 MPa and 0.9921,*** results indicated that the ML techniques are effective for accurately predicting the triaxial compressive strength of rocks after different high-temperature treatments.

关键词： Machine learning(ML) Triaxial compressive strength Temperature Confining pressure Crack damage stress

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Classification of Ultrasonic Signs Pre-processed by Fourier Transform through Artificial Neural Network Using the Echo Pulse Technique for the Identification of Defects in Welded Joints of Structural Steel

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Journal of Mechanics engineering and Automation 2015年第5期5卷 286-290页

作者： Renata Torres Melo Sotero Maria Clea S. de Albuquerque Francisco G. de Paula Claudia T. T. Farias Eduardo F. de Simas Filho Nondestructive testing research group Federal Institute of Bahia Salvador 40301-015 BA Brazil Electrical engineering Program Federal University of Bahia Salvador 40210-630 BA Brazil

It is due to the need to ensure the security and integrity of equipment, that the non-destructive tests have been increasingly used in the industrial sector. Among these, the ultrasonic pulse echo technique is the most used in industry, mainly for its simplicity and efficiency. With one transducer only, it is possible to emit the ultrasonic and receive the echo pulse. The ANNs （artificial neural networks） are artificial intelligence techniques that, when properly trained, align themselves to inspection tests becoming a powerful tool in the detection and fault identification. In this work, the echo pulse technique was used to detect discontinuities in welds, where ANNs were fed from the information obtained by digital signal processing techniques （Fourier transform）, to identify and classify three distinct classes of defects. Results showed that with the combination of feature extraction by Fourier transformation and classification with neural networks, it is possible to obtain an automatic defect detection system in welded joints with average efficiency.

关键词： Non-destructive testing digital signal processing neural networks echo pulse ultrasound.

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