An Establishing Method of the Datum Feature Simulator Based on CPVM Model

2016 ◽  
Author(s):  
Yuguang Wu ◽  
Qiqi Gu
Keyword(s):  
Monte Carlo ◽  
Geometric Feature ◽  
Geometric Errors ◽  
Linear Feature ◽  
Geometric Tolerances ◽  
The Monte Carlo Method ◽  
Geometric Deviations ◽  
Planar Feature ◽  
Different Order ◽  
Part Model

A general approach to automatically calculate a datum feature simulator (DFS) for a real part model is proposed in this paper. The geometric errors of the real part are represented by the controlling point variation model (CPVM) of the geometric feature, and the geometric deviations are simulated and generated by the Monte Carlo method. The linear feature and planar feature CPVM models are first introduced; these models can simulate all possible size, position, form, and orientation variations. Furthermore, these models are compatible with the ASME/ISO Standards for geometric tolerances. The determining rules of DFS based on the CPVM model are presented, according to the definitions of DFS by ASME standards. The CPVM models for three common datum features, i.e., the planar datum feature, cylindrical datum feature, and prismatic datum feature, are then established, and the algorithms to determine the corresponding DFSs for a different order of datum precedence are developed. An example is given to demonstrate the establishing method.

Statistical Analysis and Optimal Allocation of Geometric Tolerances

1995 ◽  
Author(s):  
Ashraf O. Nassef ◽  
Hoda A. ElMaraghy
Keyword(s):  
Monte Carlo Simulation ◽  
Genetic Algorithms ◽  
Monte Carlo ◽  
Statistical Analysis ◽  
Variance Reduction ◽  
Optimal Allocation ◽  
Variance Reduction Techniques ◽  
Reduction Techniques ◽  
Geometric Tolerances ◽  
Geometric Deviations

Abstract This paper describes a procedure for the statistical analysis and optimization of geometric tolerances. The proposed procedure assumes that a manufactured surface is represented by a set of points, which are assumed to be random variables having a multinormal distribution. Sets of surface points are generated from the multinormal distribution, and the minimum deviation zone for the geometric deviations in each set is compared with the specified tolerances. A parametric surface is interpolated to the generated points representing the manufactured surface. Genetic algorithms and a Monte Carlo simulation routine which incorporates variance reduction techniques are used to evaluate the geometric deviations of the machined surface. A second routine, based on genetic algorithms, is used to allocate the tolerance values which keeps the part’s probability of rejection within a desired value. An example for simulating a cylindrical feature is presented and the results obtained from the algorithms using the proposed variance reduction techniques are compared with those obtained using simple Monte Carlo simulation. In addition the specified tolerance values are reallocated to achieve a desired probability of rejection.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

scholarly journals A Novel Kinetic Modeling Framework for the Polycondensation of Sugars Using Monte Carlo and the Method of Moments

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 745
Author(s):  
Dimitrios Meimaroglou ◽  
Sandrine Hoppe ◽  
Baptiste Boit
Keyword(s):  
Monte Carlo ◽  
Kinetic Modeling ◽  
Method Of Moments ◽  
Kinetic Monte Carlo ◽  
Kinetic Scheme ◽  
Modeling Framework ◽  
Industrial Sectors ◽  
The Monte Carlo Method ◽  
Reacting Systems ◽  
High Degree

The kinetics of the hydrolysis and polycondensation reactions of saccharides have made the subject of numerous studies, due to their importance in several industrial sectors. The present work, presents a novel kinetic modeling framework that is specifically well-suited to reacting systems under strict moisture control that favor the polycondensation reactions towards the formation of high-degree polysaccharides. The proposed model is based on an extended and generalized kinetic scheme, including also the presence of polyols, and is formulated using two different numerical approaches, namely a deterministic one in terms of the method of moments and a stochastic kinetic Monte Carlo approach. Accordingly, the most significant advantages and drawbacks of each technique are clearly demonstrated and the most fitted one (i.e., the Monte Carlo method) is implemented for the modeling of the system under different conditions, for which experimental data were available. Through these comparisons it is shown that the model can successfully follow the evolution of the reactions up to the formation of polysaccharides of very high degrees of polymerization.

scholarly journals Innovative aerodynamic grain separation system for plant harvesting in sloped areas: problems, research and optimization of parameters

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jerzy Bienek ◽  
Piotr Komarnicki ◽  
Jerzy Detyna
Keyword(s):  
Monte Carlo ◽  
Separation System ◽  
Indicator Values ◽  
Negative Effects ◽  
The Monte Carlo Method ◽  
Longitudinal Slope ◽  
Combine Harvester ◽  
The Given ◽  
Transverse Slope ◽  
Plant Harvesting

AbstractThis article presents the main problems associated with cereal harvesting in sloping areas. The presented innovative aerodynamic system supporting the separating unit of combine harvester can be one of the ways to counteract the negative effects of harvesting machines work on slopes. The Monte Carlo numerical method, presented in this article, was applied in the optimization of an aerodynamic sieve separation process on an inclined terrain. The given variables are the transverse slope of separator α (of the sieve), longitudinal slope β and the output of the main and side fans. The Monte Carlo method makes it possible to determine an optimized set of parameters (α = 10°, β = 2.8°, δ = 9°), the output of the main fan (0.67 m3 s−1) and the output of the side fan (1.86 m3 s−1), allowing to obtain the best indicator values of 2.1% grain loss and 97.5% grain purity.

Modeling grain growth by the monte carlo method on isotropic grids

1999 ◽  
Vol 72 (1) ◽  
pp. 68-72
Author(s):  
M. Yu. Al’es ◽  
A. I. Varnavskii ◽  
S. P. Kopysov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Grain Growth ◽  
The Monte Carlo Method
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