Applied Mechanics and Materials Vols. 423-426

Abstract: A procedure to quantify volatile, organic sulfur compounds in gasoline was developed using solid-phase microextraction to preconcentrate the analyses followed by GC and detection with a sulfur chemiluminescence detector (SCD). The effects of temperature, time and PDMS fibers types on the extraction of gasoline has been investigated. The results show that a range of sulfur compounds were identified in gasoline. 75um PDMS, 30min, and 50°C were the optimum extraction conditions. Using the developed method can be used to identify gasoline residues in the fire.

Abstract: Study on a monitoring method of the faults of high voltage device. Research the measurement theory of infrared thermal imager about the faults of high voltage device. And design a judging method which bases on the relative temperature difference of high voltage device. Then design software which recognizes the faults of high voltage device with the infrared technology. This software scan unusual point of the infrared picture on all sides, and then indent the faults of these device and feed back the faults information, according to the judging method. Last, do the simulation test about the faults of devices, and then identify the faults of current mutual inductor and voltage mutual inductor. The results state that this technology realizes the analysis ability autumnally of the devices faults, and improve the work efficiency to monitor these devices. It helps to guarantee power grid moving safely.

Abstract: As people live or work on indoor environment of the perfect pursue, for from the household decorates the toxic gas such as formaldehyde, CO, and combustible gas of main composition methane (natural gas) will pay more attention to low concentration requirements. in order to build a safe and healthy environment, we design a simple and practical monitoring system, when the harmful gas exceeds bid, it can tell people in indoor gas solubility and promptly report to the police [1]. In this paper, we design the monitoring system using the MQ₂ gas sensor as a receiver, STC89C52 single-chip microcomputer as the core, 1602 LCD for displaying output, used for indoor and toxic gas detection, according to at the same time equipped with a buzzer alarm output.

Abstract: This paper discusses an elevator monitoring system based on embedded system and the internet of things. Through multi-sensor information acquisition, much information can be accessed to such as vibration, acceleration, speed, running noise,direction,floor station,door switch of the elevator car and power supply voltage,current, temperature of the traction machine,at the same time the noise and the temperature of the computer room with the information if there is anyone in the elevator, etc.. WinCE operating system is ported to the master control chip S3C2410 of ARM9 architecture,and a WAN connection between the elevator parameter monitoring terminals and the remote control center is established to realize the centralized monitoring and automatic remote failure alarm for the elevator operation. This system provides technical support for elevator safety regulation and the practical running results is satisfactory.

Abstract: The manufacturing quality of turbine blade is the key problem for an engine. Blade inspection is the important safeguard to blade quality. This paper presented some key techniques of a blade inspection system. First of all, the scan planning strategy and the results for a blade for getting as complete as possible data are described. Secondly, the data processing methodologies for the laser measurement data are put forward. Thirdly,the innovated methods of parameter extraction strategy, work flow and the key techniques are analyzed in details. Finally, the inspection results are illustrated. It shows that the presented solutions of the developed blade inspection are valid, practical and efficient.

Abstract: Tool wear is a significant research field in metal cutting because it affects not only the tool cost and replacing time, but also the productivity and surface quality. Tool wear monitoring is a key technology in tool wear research. A series of turning tests with different cutting time are implemented. Cutting power in cutting process is acquired by a power senor and crater wear value after cutting is measured. Time domain analysis of power data indicates that root mean square increases and kurtosis approaches to 0 with crater wear increase in turning process.

Abstract: The Intellectualization of Condition Monitoring for Port Logistics machinery is an important part of port informatization. In this aspect, it is still at a low level in Chinas western port. This paper describes the intellectualized monitoring mode, technological development and evolution of the domestic and foreign ports. Then analyzes the status of the western port intellectualized monitoring, Researches its existing problems and studies its development trend.

Abstract: NC machines touch-trigger probes generally have three-dimensional measuring function, its working principle is equivalent to a duplication of contacts with high precision switch, under the control of the measurement software, to achieve high-precision machining center automatically detected. Paper proposed based on BP neural network in NC machines tool probe measurement error parameter identification method. Through theoretical analysis and experimental research to determine the probe installation error parameters and the probe measurement error parameters of the model, but also identify ways to eliminate probe system error term uncertainty of the condition, in order to determine the detection method and planning of testing provides a reliable path basis.

Abstract: A novel approach is proposed for representing fabric texture orientations and recognizing weave patterns. Wavelet packet transform is suited for fabric image decomposition in fabric texture. Since different weave patterns have their own regular orientations in original image and sub-band images decomposed by Wavelet packet transform, and the regular orientations can be represented as the energy distributions of these images because the average energies of different fabric texture directions are changeable in a certain way. These energy orientations features are extracted and used as SOM and LVQ inputs to achieve automatic recognition of fabric weave. The experimental results show that the neural network of LVQ is more effective than SOM. The contribution of this study is that it not only can identify fundamental fabric weaves but also can classify some complex weaves.

Abstract: A digital flexible assembly system is developed which is used to assemble one fuselage large component of a large aircraft. The laser tracking metrology system is the important part of the flexible assembly system. The metrology system is composed of three modules: laser tracking measurement module, data processing module, and real-time motion simulation module. The laser tracking measurement module is mainly completing the measurement functions of the laser tracker. Data processing module is the core module of the metrology system, and is responsible for all data computation and transmission in assembling and positioning the aircraft component. The real-time motion simulation module provides the three-dimensional scene simulation of the assembly to the users and gives the users a more intuitive understanding of the assembly process. This paper introduces the system structure and working principle of the developed metrology system which based on the laser tracker. The application of the metrology system and the flexible assembly system can greatly improve the assembly accuracy.