Papers by Author: Yan Chen

Abstract: To achieve the processing program and simulation verification on NC Woodworking Curve Band Saw (WCBS) that facilitates the industrialization and practicality of the woodworking machinery, the articles proposes the CAM system modules by the analysis of its composition structure and working principle of the machine and the building-up of its kinematics model. The article also explains the basic functions for each module and develops the CAM systems of MJS1325 WCBS with the use of VC++ and OpenGL. Reading and analyzing the CAD work piece graphics files, the CAM systems is able to generate the NC program and realize the simulation of machining in whole visual process environment including saws, fixtures, belt saw and work piece, etc. The CAM systems pass the prototype test and see a favorable effect.

Abstract: Complex woodworking curve saw plays an important role in wood processing. In order to provide a preliminary test and verification tools for curve saw processing technology, a research on complicated curve saw movement and cutting simulation based on virtual environment was conducted. Firstly, constructed the mathematical model of all movement axis, solved the motion law of between dicing saw and work piece by matrix arithmetic. To obtain a better graphics effect in cutting process, a dynamic mesh model based on self adaptive quad-tree was put forward. Finally the simulation system was achieved in the platform Microsoft Visual Studio 2010 and OpenGL which has a good effect and can meet the validation requirements of curve saw.

Abstract: Because of the universality, complexity and uncertainty of mechanical design knowledge, knowledge reasoning and integration of intelligent design system was one of the difficult problems. The valuation of weight by human was used in many methods for knowledge reasoning at present. In order to make the intelligent product design become more scientific and rational, and eliminate the subjective human factors, a method for reasoning using information entropy was proposed. First, by means of the advantage of the relational database include the redundancy, consistency and integrity, the mechanical product design knowledge base was established. Second, based on the information entropy theory, the weight of each attribute was calculated directly through the objective information. Third, based on the objective data in the original sample, the method for calculating the similarity between accurate attributes and uncertainty attributes and design schemes was given. Finally, this method was verified by fruit picking robot intelligent design system, and the result showed that it is objective and effective.

Abstract: In order to achieve simulation validation before machining and optimization for the processing, the vertical NC miller machining simulation system based on VERICUT was built on. Analysis showed the framework of simulation system, and researched the implementation processing of simulation system from the built of virtual machine model, setting of virtual processing environment, configuration of simulation and etc. Finally, a simulation machining instance was given by applying this system, and NC tool path was also been optimized which played a good effect.

Abstract: In order to design a robot end-effector for picking the litchi, at first, the clamping and cutting characteristics of the litchi stem were measured. Based on the biological characteristics and cultivation growth pattern of litchi, the characteristic of litchi picking mechanism was analyzed, and the relationship between the moving mechanism and cutting mechanism was established. At last, a new type of end-effector for picking the litchi, which consisted of clamping mechanism, moving mechanism and cutting mechanism, was developed. The experimental results showed that the end-effector can satisfy the clamping, moving and cutting requirements when picking the litchi.

Abstract: To study the characteristic fruit manipulator in southern China, architecture of fruit manipulator virtual design system was build by the use of modular technology. Parameterize the feature properties of picking manipulator, so the reusable parametric model was build. Based on the database technology, the knowledge base was build, including examples base, constraint rules and research status. Moreover, visualization 3D simulation of the processing of picking was realized under the virtual environment. Finally, through the development of experimental prototype, the virtual design system and its key technologies can be verified.

Abstract: In order to realize rapid design, a parametric intelligent design system of picking manipulator (PIDS-PM) of 4 DOF( Degree of Freedom) was developed. The design was reused and became more standard, the development cycle was shortened and the cost was reduced. First, knowledge attribute properties of manipulator were extracted and classified and parameterized according to its functions. They were consisted of a reusable knowledge structure module which included all the information, relationships and maps among parameters. Second, a knowledge repository based on database was constructed, which was used to query the database and obtain the optimal design scheme. Finally, the system was realized by using VC++6.0 including its structure, main function modules, user interface and its design result.

Abstract: To improve the positioning accuracy of picking manipulator, research of stereo vision positioning for picking object in dynamic was studied. And system composition and positioning principle of stereo vision for vibratory object were introduced. Moreover, experimental platform, which simulated the vibration while picking, was designed for the stereo vision positioning experiment in static condition or vibratory condition. Therefore, influence of vibration condition on the depth information of vision positioning can be analyzed and the regression equation of depth error can be built. The results showed that when the object vibrating, the depth error increased. The vibratory frequency was the most important factor, and the depth error would increase with the frequency increased. The influence of vibratory direction and amplitude on depth error was also significant, but much less than frequency.

Abstract: Inherent uncertainties always exist in the positioning picking manipulators in complex environment, modeling and simulation of positioning. The manipulators were discussed based on binocular stereo vision in virtual environment (VE). Based on stereo vision, a method how virtual manipulators locate picking object by human-computer interaction (HCI) was proposed. The data input from vision were mapped to virtual picking manipulators so that it could enable the positioning and simulation with route and events-driven mechanism. The positioning experimental platform in VE consists of hardware of CCD stereo vision and simulation software. The visualized simulation system was exploited by EON SDK. The simulation of manipulator’s positioning was realized in VE by the platform. This method can be used for virtual robot to locate objects’ long-distance positioning in complex environment.