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      • Development of Voxel Based Machining Shape Simulator

        Keiichi Shirase,Tomoyuki Kouno,Keiichi Nakamoto (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

        In this study, voxel model representation is applied for a geometric machining shape simulator. A voxel model generally requires a huge amount of memory for shape representation, therefore the multilayer Octree structure of voxels is utilized to reduce the memory usage and improve the accuracy for the complicated shape representation of three-dimensional objects. Based on actual tool paths, case studies of machining shape simulation were carried out to examine the relation between the Octree layer levels with calculation time and memory usage. Furthermore, the ability to simulate machining shapes for both 3-axis and 5-axis milling operation were verified.

      • Digital Human Model for Estimating Torque about Screwdriver Axis from Arm Posture in Screw Driving Tasks

        Yutaka Fukui,Tsuneo Kawano,Keiichi Shirase,Nobuhiro Sugimura (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

        The purpose of this study is to develop a digital human model for evaluating the operations involving the rotation movements of the upper limb in hand-operated screw driving tasks. Experiments were carried out to derive the equations for estimating the maximum torque applied by the movements of the forearm and/or wrist about a screwdriver axis from the working posture of the upper limb. The applied maximum torque and arm posture were measured at each of 22 positions of the screwdriver for 8 participants. The results demonstrated that the measured torques varied with the arm postures. A torque-producing index was defined among the rotational axes and the height of the arm so as to correlate well with the measured torques. Finally, software was developed to estimate the applied maximum torque about screwdriver axis from the torque-producing index of any digital human’s posture.

      • Optimization of Lifting Posture Based on Motion Analysis Using Musculoskeletal Human Model Considering Bi-articular Muscle Function

        Isamu Nishida,Masato Maeda,Tsuneo Kawano,Keiichi Shirase (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

        Factory automation and efficiency-oriented unmanned factories have become the major trend in manufacturing systems in recent years. However, human-centered manufacturing is gaining attention because of the flexibility it offers to manufacturing systems in terms of both product variety and volume. Although some digital human models capable of estimating the power generated by human muscles during various manufacturing-related tasks have been developed, a more effective method of analyzing muscle power is required to better estimate human muscle power. In the present study, a new musculoskeletal model taking the function of bi-articular muscles into consideration is applied to estimate the power generated by human muscles. The purpose of this study is to optimize working conditions that satisfy both the height of subjects and their maximum muscle power during a lifting operation. Results indicate the model is able to predict the heaviest weight and maximum height that this weight can be lifted to keep muscle power of the upper limb of a subject under 70% of the maximum muscle power. Moreover, the analyzed muscle power of the upper limb from experimental lifting operations is in good agreement optimized environments where humans can work efficiently and safely considering their physical characteristics.

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