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Li D.,Tianjin Polytechnic University | Li D.,Tianjin Area Major Laboratory
Advanced Materials Research | Year: 2011

In this paper, application of coordinate measuring machine(CMM) in reverse engineering(RE) of product was introduced. Reverse engineering had become a viable method to create a digital model of an existing physical part and to duplicate it. The reverse engineering process involves measuring an object, reconstructing its point cloud as a digital model and rapidly machining it. Application of obtaining point cloud using CMM was presented in reconstructing the digital model of a shoes tree. Rapid duplicate of a severely worn cam of textile machinery was realized by contact measuring profile points using CMM. Reconstructing the digital model and locally modifying the computer model in computer aided design (CAD) software. Finally, numerical control program was finished in computer aided manufacturing (CAM) software. Automatic measurement close freeform curve function of CMM decreased the workload of picking up data of cam profile. Experimental results showed using CMM can greatly save time and alleviate intension of labour. Source

Li D.,Tianjin Polytechnic University | Li D.,Tianjin Area Major Laboratory | Zhang Y.,Tianjin Polytechnic University
2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 | Year: 2011

The electromyography (EMG) signal can be considered as a manifestation of the muscle activity. An artificial neural network to predict the elbow joint angle using SEMG signals was developed in this paper. SEMG was collected from biceps and triceps and analyzed in statistic characteristics. A three-layer BP neural network was constructed and then was trained by improved back propagation algorism to predict the elbow joint angle by using the RMS of the raw SEMG signal. The experimental results show that this neural network model can well represent the relationship between SEMG signals and elbow joint angles. © 2011 IEEE. Source

Luo J.,Tianjin Polytechnic University | Lin S.,Tianjin Area Major Laboratory | Ni J.,Tianjin University of Technology | Li S.,Tianjin Polytechnic University
Journal of Information and Computational Science | Year: 2012

This paper presents a method for scratch recognition on digital battery materials. First, scratch feature vector is extracted using space information. Secondly, a Fast Elliptical Basis Function Neural Network (FEBFNN) is designed. The structure of FEBFNN consists of three layers like EBF but the structure is exible and can be adjusted during the training process. Finally, FEBFNN is trained and tested by five-fold cross-validation on 200 battery images. Experiments have shown the proposed algorithm has achieved the average accuracy of 91% and average recognition time of 0.09 s. It works better in terms of computing time and accuracy comparing to Bruni Vittoria and Kyung-tai Kim. © 2012 Binary Information Press January 2012. Source

Yang J.,Tianjin Polytechnic University | Yang J.,Tianjin Area Major Laboratory | Li X.,Tianjin Polytechnic University | Li X.,Tianjin Area Major Laboratory | And 7 more authors.
Advanced Materials Research | Year: 2012

As the long transmission line, complex mechanism, poor performance of regulation and control and low sensitivity of mechanical let-off, so it can not meets the requirements of stable tension. Therefore, the let-off mechanical was improved. This paper takes let-off system of SAURER400 rapier loom as experimental subject, mathematical modeling to every parts of loom, and takes simulation and comparison. The simulation results show the improvement of mechanical can meet the basic requirements of weaving, and it indicates the works that done former are effective and correct. © (2012) Trans Tech Publications, Switzerland. Source

Niu W.,Tianjin Polytechnic University | Sun R.L.,Tianjin Polytechnic University | Sun R.L.,Tianjin Area Major Laboratory | Lei Y.W.,Tianjin Polytechnic University
Advanced Materials Research | Year: 2011

Self-lubricating h-BN/Ni coating was prepared on a medium carbon steel substrate by CO 2 laser cladding using a powder mixture of NiCrBSi+5%h-BN(wt.%). Microstructures and phasestructure of the coating were analyzed using SEM, EDS and XRD. Wear tests were carried out using a M100 pin-on-ring wear tester. The results show that h-BN/Ni coating has much superior war resistance and noticeably lower fiction coefficient under dry sliding wear test conditions. © (2011) Trans Tech Publications, Switzerland. Source

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