Geometrical product specifications (GPS). Geometrical features

2015 ◽  
2011 ◽  
Vol 361-363 ◽  
pp. 1481-1485
Author(s):  
Hui Fen Liu ◽  
Mei Fa Huang ◽  
Lei Lei Chen ◽  
Bo Shi

Feature specifications are important composite parts in the new generation of geometrical product specifications and verification (GPS). According to the theories of specification model of shaft parts, this paper presents a method to generation of specification model of concentricity. Firstly, the mathematical model of concentricity is established in terms of nominal geometrical features of product for the parts the functional requirement are satisfied. Secondly, the simulation points of the model are generated by using the methods of axial stratification and circumferential multi-angles. The concentricity specification model could be generated after these operations of association and collection. Finally, an example is applied to illustrate the new method. The experiment results show the effectiveness of the proposed method.


Author(s):  
Yifan Qie ◽  
Lihong Qiao ◽  
Nabil Anwer

AbstractIn ISO Geometrical Product Specifications and Verification Standards (GPS) [1], partition is one of the fundamental operations used to obtain ideal or non-ideal features of a product. The operation of partition produces independent geometrical features by decomposing the object. A curvature-based CAD mesh partitioning framework is proposed in this paper. The framework combines several key steps including curvature-based attribute calculation, local shape type refinement, region growing, slippage analysis and statistical modeling. The partitioned features are classified into seven invariance classes of surface in the context of ISO GPS. A case study shows that not only appropriate partitioning but also accurate invariance class recognition for GPS are achieved by the proposed framework.


2020 ◽  
Author(s):  
Clément Dulong ◽  
Bruno Madebène ◽  
Susanna Monti ◽  
Johannes Richardi

<div><div><div><p>A new reactive force field based on the ReaxFF formalism is effectively parametrized against an extended training set of quantum chemistry data (containing more than 120 different structures) to describe accurately silver- and silver-thiolate systems. The results obtained with this novel representation demonstrate that the novel ReaxFF paradigm is a powerful methodology to reproduce more appropriately average geometric and energetic properties of metal clusters and slabs when compared to the earlier ReaxFF parametrizations dealing with silver and gold. ReaxFF cannot describe adequately specific geometrical features such as the observed shorter distances between the under-coordinated atoms at the cluster edges. Geometric and energetic properties of thiolates adsorbed on a silver Ag20 pyramid are correctly represented by the new ReaxFF and compared with results for gold. The simulation of self-assembled monolayers of thiolates on a silver (111) surface does not indicate the formation of staples in contrast to the results for gold-thiolate systems.</p></div></div></div>


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