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Abstract-Laser cladding is mainly applied in components renovation, coating, stacking forming, etc. At present, the degree of automation of laser cladding is not very high. Machine vision technology is gradually becoming a good approach to improve the automaticity. Utilizing machine vision to measure and control the molten pool to improve the degree of automation of laser cladding has become an important research interest. Clear image of molten pool was acquired with the appropriate image grabbing installation system and together with image processing methods, the area of molten pool was calculated. Analyzed variation of molten pool area as the processing parameters changed. Discussed variation of geometry of cross section of cladding bead. Explained the relationship between variation of the molten pool areas and cross section of cladding bead, according to the captured image of molten pool. When molten pool increases, it can capture more metal powder, so area of cross section of cladding bead will increase correspondingly. With appropriate processing parameters, the areas of molten pool and cross section of cladding bead are in positive correlation.

Here we describe our efforts to build an ideal optical switch based on the monolithic integration of a heterojunction phototransistor (HPT) with a vertical-cavity surface-emitting laser (VCSEL) diode. To date we have demonstrated high optical gain (> 20 overall, > 200 differential) with the discrete components connected in series. Our devices are ideally suited for parallel optical signal processing which is currently regarded as the most promising research area for achieving significant increases in computational throughput relative to purely electronic based information processing. Parallel optical processing has been severely hampered by the lack of several basic "building block" devices such as optical switching devices that exhibit low-switching energy, high optical gain (fanout capability) and high contrast. Devices should be: easy to fabricate (use of self-aligned VLSI technology), microscopic in size, and readily integrable with other optoelectronic components without being adversely affected by external optical feedback.

This paper has established the robot model of three-arm and five-degree freedom increasing large scope of traversing welding and given decoupling method of model in "large scope of traversing", "triangle movement of two arms" and "spherical movement of one arm". This has completed the image of using geometrical to calculation the inverse problem of kinematics and has eliminated the blind spots of the motions of welding gun of welding robot [1,2] . With 2D function of laser sensor, it realizes the non-contact detection of weld edge, the estimate of the amount of welding metal filling. Then, it gives a intelligent metal filling strategy of 45 degree horizontal butt weld for many times. The result of test works well.