For filling the application requirement of searching toxic gas leak source, a multi-sensory robot, which is used for searching toxic gas leak source, is developed. This robot consists of humanoid multiple degree of freedom head system and tracked walking mechanism, with the sense of smell, hearing and stereo vision and other functions. The robot’s bionic olfaction system can detect 5 kinds of toxic gas in the same time, and the hearing system consisted of four microphones can get all kinds of sound in the general environment. Meanwhile, its binocular stereo vision system can get the 3D information of the work environmental. Distributed controll system is constructed for the robot, and comprehensive utilization of the multi-sensory function can increase the efficiency and accuracy of searching leakage. This robot can give full play the advantage of multiple degrees of freedom to expand the searching scope of the robot, and enhance the flexibility of the searching behavior. This robot system has wide application prospects in the environment of toxic gas.

The heat partitioning to workpiece is an important parameter, which affects the grind-hardening technology. In this paper, the heat sources positions, which are around the grain, are analyzed. Ignoring the heat source produced in chip-grain interface, the heat partition model is established based on heat source position produced in grain-workpiece interface and the chip-workpiece interface. The heat partition is validated by using of finite element method and the experimental method. The results indicate the heat partition model can be used in grind-hardening temperature calculation.

The oil-immersed transformer tank is an outside package component of the transformer body. The sealing quality and mechanical strength of the oil tank are affected by the deformation after loading. In this paper, the 3D finite element model of oil-immersed transformer tank is established. The oil-immersed transformer tank deformation is obtained by FEA under the condition of vacuuming. A series of experiments about the deformation of the oil-immersed transformer tank are carried out. Comparing experiment results with FEA results, FEA results are agrees well with the experiments’. It can save the time consumed on designing the oil tank, and has the directive function for the whole design.

Configuration design lies in the later stage of the conceptual design. It affects the downstream of design process and decides product structure. Therefore, it is necessary to pursue an approach to support such design stage activities. Port, as the location of intended interaction, plays an important role in the configuration design, which abstractly represents the intended exchange of signals, energy or material in a convenient way. Ontology is an unambiguous and flexible semantic specification corresponding entities, and it can effectively describe the function of port. In this paper, we firstly give port concept and port functional description, and their semantic synthesis is used to describe port ontology. Second, we build an ontology repository which contains the assorted primitive concepts and primitive knowledge to map the component connections and interactions. Meanwhile we provide a model of port-based multi-views which contains functional view, behavior view and configuration view, and gives the attributes and taxonomy of ports. Next, a port-based ontology language (PBOL) is described to represent the process of port ontology refinement, and a port-based FBS modeling framework is presented to describe system configuration. Finally, a revised tape case is given to show the application of the port-based ontology.

With help training of the lower limbs rehabilitation robot, the hemiplegia patients can be helped effectively recover. Applicable control method plays an important part in performance of lower limbs rehabilitation robot. According to the preferred method, sEMG was collected from no necrosis and healthy muscle, then, the effective action signals which are extracted from the sEMG transit to Fuzzy-Neural network classifiers to identify the movements intention of paralyzed patients, and then the lower limbs rehabilitation robots can assist paralyzed patients to achieve their intent. The simulation results indicate that the Fuzzy-Neural network classifiers can identify the movements intention well, and control method of sEMG can satisfy the demand of lower limbs rehabilitation robot.