911 research outputs found

    Grasp planning in discrete domain.

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    by Lam Miu-Ling.Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.Includes bibliographical references (leaves 64-67).Abstracts in English and Chinese.Chapter Chapter 1. --- Introduction --- p.1Chapter Chapter 2. --- Mathematical Preliminaries and Problem Definition --- p.6Chapter 2.1 --- Grasp Synthesis in Discrete DomainChapter 2.2 --- AssumptionsChapter 2.3 --- Frictionless Form-Closure GraspChapter 2.4 --- Frictional Form-Closure GraspChapter 2.5 --- Problem DefinitionChapter Chapter 3. --- A Qualitative Test Algorithm and a Local Search Algorithm --- p.18Chapter 3.1 --- A Qualitative Test AlgorithmChapter 3.2 --- A Local Search AlgorithmChapter 3.3 --- Grasp Planning under Kinematic ConstraintsChapter Chapter 4. --- A Divide-and-Conquer Technique --- p.29Chapter 4.1. --- Determining a Separating HyperplaneChapter 4.2. --- Divide-and-Conquer in Frictionless CaseChapter 4.3. --- Divide-and-Conquer in Frictional CaseChapter Chapter 5. --- Implementation and Examples --- p.40Chapter 6.1. --- Examples of Frictionless GraspsChapter 6.2. --- Examples of Frictional GraspsChapter 6.3. --- Examples of Grasps under Kinematic ConstraintsChapter Chapter 6. --- Conclusions --- p.62Bibliography --- p.6

    Design and Analysis of an Attitude Determination and Control Subsystem (ADCS) for AFIT\u27s 6U Standard Bus

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    The design and testing of AFIT\u27s 6U Attitude Determination and Control Subsystem (ADCS) are explored to establish 3-axis attitude control. The development of AFIT\u27s 6U CubeSat standard bus is an on-going research effort designed to create in-house CubeSat bus components and software. The 6U chassis measures approximately 11 x 24 x 37 cu cm and can have a mass up to 12 kg. The larger bus size (as compared to the more common 3U CubeSat) allows for increased power capabilities and potential to host multiple or larger payloads. Individual ADCS hardware components were either commercially purchased or built in-house and include an IMU, external magnetometer, 4-wheel reaction wheel assembly, and three torque coils. The ADCS software developed as part of this research includes the QUEST attitude determination algorithm, B-dot de-tumbling algorithm, and PD control algorithm with momentum dumping capability. To facilitate ADCS testing, an air bearing assembly was designed and set up in AFIT\u27s existing Helmholtz cage. The air bearing provides a near-frictionless environment with 360 deg rotation about one axis and limited (35 deg) rotations about the other two axes. The Helmholtz cage consists of three orthogonal magnetic coil pairs that can create a uniform + or - 2 Gauss magnetic eld within the cage. This comprehensive ADCS testing environment was used to test a ground-based 6U CubeSat complete with ADCS, CDH, and EPS components. The custom-built torque coils demonstrated torquing abilities on the spacecraft and yield a 0.66 A-sq m magnetic moment. In addition, single-axis attitude control was achieved using the reaction wheel assembly. Recommendations for further developments and testing are included to achieve the desired 3-axis control

    Discrete element modelling of the dynamic behaviour of non-spherical particulate materials

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    PhD ThesisA numerical model based on the discrete element (DE) method, for modelling the flow of irregularly shaped, smooth-surfaced particles in a 3-D system is presented. An existing DE program for modelling the contact between spherical particles in periodic space (without real walls or boundaries) was modified to model non-spherical particles in a system with containing walls. The new model was validated against analytical calculations of single particle movements and also experimentally against data from physical experiments using synthetic non-spherical particles at both a particle and bulk scale. It was then used to study the effect of particle shape on the flow behaviour of assemblies of particles with various aspect ratios discharging from a flat-bottomed hopper. The particles were modelled using the Multi-Sphere Method (MSM) which is based on the CSG (Constructive Solid Geometry) technique for construction of complex solids by combining primitive shapes. In this method particle geometry is approximated using overlapping spheres of arbitrary diameter which are fixed in position relative to each other. The contact mechanics and contact detection method are the same as those used for spheres, except that translation and rotation of element spheres are calculated with respect to the motion of the whole particle....Numerical simulations of packing and flow of particles from a flat-bottomed hopper with a range of aspect ratios were performed to investigate the effect of particle shape on packing and flow behaviour of a particulate assembly. It was found that the particle shape influenced both bed structure and flow characteristics such as flow pattern, shear band strength and the occurrence of bridging. The flow of the bed of spherical particles was smoother than the flow of beds of elongated particles in which flow was fluctuating and there was more resistance to shear.Ministry of Culture and Higher Education of IRAN: University of Mashhad

    Modeling of ground excavation with the particle finite element method

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    The present work introduces a new application of the Particle Finite Element Method (PFEM) for the modeling of excavation problems. PFEM is presented as a very suitable tool for the treatment of excavation problem. The method gives solution for the analysis of all processes that derive from it. The method has a high versatility and a reasonable computational cost. The obtained results are really promising.Postprint (published version

    Survey on model-based manipulation planning of deformable objects

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    A systematic overview on the subject of model-based manipulation planning of deformable objects is presented. Existing modelling techniques of volumetric, planar and linear deformable objects are described, emphasizing the different types of deformation. Planning strategies are categorized according to the type of manipulation goal: path planning, folding/unfolding, topology modifications and assembly. Most current contributions fit naturally into these categories, and thus the presented algorithms constitute an adequate basis for future developments.Preprin
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