Automatic Generation of Tolerance Chains from Mating Relations Represented in Assembly Models

1993 ◽  
Vol 115 (4) ◽  
pp. 757-761 ◽  
Author(s):  
N. Wang ◽  
T. M. Ozsoy
Keyword(s):  
Close Relation ◽  
Automatic Generation ◽  
Program Package ◽  
Assembly Modeling ◽  
Feature Based ◽  
Modeling Strategy ◽  
Assembly Models

This paper presents an algorithm for generating tolerance chains from the mating relations between components of assemblies. The algorithm is developed upon a feature-based assembly modeling strategy that represents each component in close relation to its mating features, dimensions, and tolerances. The mating relations within an assembly are described by a mating graph. Tolerance chains together with their dimensions and tolerances are generated automatically by searching through a mating graph for matching mating features. A prototype program package based on the presented algorithm has been developed, and several examples of various complexity have been tested with success.

Automatic Generation of Tolerance Chains From Mating Relations Represented in Assembly Models

1990 ◽  
Author(s):  
Nanxin Wang ◽  
Tulga M. Ozsoy
Keyword(s):  
Close Relation ◽  
Automatic Generation ◽  
Program Package ◽  
Assembly Modeling ◽  
Feature Based ◽  
Modeling Strategy ◽  
Assembly Models

Abstract This paper presents an algorithm for generating tolerance chains from the mating relations between components of assemblies. The algorithm is developed upon a feature-based assembly modeling strategy that represents each component in close relation to its mating features, dimensions and tolerances. The mating relations within an assembly are described by a mating graph. Tolerance chains together with their dimensions and tolerances are generated automatically by searching through a mating graph for matching mating features. A prototype program package based on the presented algorithm has been developed, and several examples of various complexity have been tested with success.

Assembly modeling as an extension of feature-based design

1993 ◽  
Vol 5 (3-4) ◽  
pp. 218-237 ◽  
Author(s):  
Jami J. Shah ◽  
Mary T. Rogers
Keyword(s):  
Assembly Modeling ◽  
Feature Based ◽  
Feature Based Design

Consistency Management in Feature-Based Parametric Design

1995 ◽  
Author(s):  
Ana Sofia Vieira
Keyword(s):  
Parametric Design ◽  
Automatic Generation ◽  
Fundamental Principle ◽  
Consistency Management ◽  
Semantic Constraints ◽  
Evaluation Time ◽  
Feature Based ◽  
Consistent Feature ◽  
Semantic Correctness ◽  
Definition Of

Abstract One of the main problems to be solved in design-by-features is to preserve the semantic correctness of feature-based models. Currently, feature-based parametric design (FbPD) is being used as one of the most powerful approaches for solving this problem. In this paper, a fundamental principle of this approach is introduced. Three aspects stated, are: FbPD deals with functional design primitives, it solves the automatic generation of model variations, and it offers the basis for the development of a mechanism to check the semantic correctness of feature-based models. Several concepts for the definition of semantic constraints are presented. They instigate the classification of semantic constraints in four different categories, based on the constraint evaluation-time, purpose, behaviour, and representation. Sinfonia, a system for feature-based parametric design, is presented as a testbed environment for design-by-features applications. One of its modules, the Consistency Handler, uses the constraint concepts introduced in order to preserve the semantic consistency of the models. Several examples illustrate the different types of constraints. In addition, an algorithm applied for the process of a consistent feature modification is presented.

Feature-based assembly modeling and sequence generation

1999 ◽  
Vol 36 (1) ◽  
pp. 17-33 ◽  
Author(s):  
Tiam-Hock Eng ◽  
Zhi-Kui Ling ◽  
Walter Olson ◽  
Chuck McLean
Keyword(s):  
Assembly Modeling ◽  
Sequence Generation ◽  
Feature Based

On the Automatic Generation of Set-Ups Given a Feature-Based Design Representation

CIRP Annals ◽  
1993 ◽  
Vol 42 (1) ◽  
pp. 527-530 ◽  
Author(s):  
F.L.M. Delbressine ◽  
R. de Groot ◽  
A.C.H. van der Wolf
Keyword(s):  
Automatic Generation ◽  
Design Representation ◽  
Feature Based ◽  
Feature Based Design

Assembly Modeling and Sequence Planning Based on the Kinematics of Features

1996 ◽  
Author(s):  
Zhi-Kui Ling
Keyword(s):  
Degrees Of Freedom ◽  
Planning Process ◽  
Assembly Sequence Planning ◽  
Degree Of Freedom ◽  
Assembly Planning ◽  
Assembly Sequence ◽  
Assembly Modeling ◽  
Sequence Planning ◽  
Local Degree ◽  
Modeling Strategy

Abstract A feature-based model is proposed for assembly sequence planning automation. The fundamental assembly modeling strategy for a product is based on the mating features of its components. The objectives of this study are to integrate assembly planning of a product with its CAD model, generate a correct and practical assembly sequence, and establish a software system to carry out the planning process. A disassembly approach in assembly planning is used in this study. The degree of freedom information between two mating features is used to characterize their kinematic conditions. The intersection calculation of the degrees of freedom on all features of a component provides its local degree of freedom which is used to set up functional precedence relationship. In some cases where functional precedence relationship can not be detected by geometric reasoning, clipping of the known “common sense” relationship is applied by an user. A bounding box checking approach is used to ensure no global collision during assembly. Furthermore, a set of criteria and heuristic rules based on assembly feasibility, manipulability, assembly direction, cost and stability is used to choose a good assembly sequence.

An Evaluation of Formal Strategies to Create Stable and Reusable Parametric Feature-Based 3D Models

2014 ◽  
Author(s):  
Jorge D. Camba ◽  
Ana Cosin ◽  
Manuel Contero
Keyword(s):  
Best Practices ◽  
Selection Criteria ◽  
Parametric Design ◽  
Parametric Representation ◽  
3D Models ◽  
Preliminary Evaluation ◽  
Comparative Review ◽  
Explicit Reference ◽  
Feature Based ◽  
Modeling Strategy

In this paper, we present a comparative review of publicly available and professionally accepted CAD modeling strategies and best practices for history-based parametric design that focus on reusability: Delphi’s horizontal modeling, explicit reference modeling, and resilient modeling. Some aspects considered in our study include the rationale to avoid the creation of unnecessary feature interdependencies, the sequence and selection criteria for those features, and the effects of parent/child relations on model reuse. We provide a preliminary evaluation of these strategies using a simple industrial CAD model. We analyze the internal structure of the models by comparing the robustness, flexibility, and complexity of the parametric representation. Finally, we provide a set of general guidelines to identify the best modeling strategy based on the characteristics of the design.

scholarly journals Melody Extraction and Encoding Method for Generating Healthcare Music Automatically

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1250
Author(s):  
Shuyu Li ◽  
Sejun Jang ◽  
Yunsick Sung
Keyword(s):  
Neural Networks ◽  
Classical Music ◽  
Strong Relationship ◽  
Automatic Generation ◽  
Main Element ◽  
Document Frequency ◽  
Feature Based ◽  
Music Generation ◽  
Automatic Music Generation ◽  
Encoding Method

The strong relationship between music and health has helped prove that soft and peaceful classical music can significantly reduce people’s stress; however, it is difficult to identify and collect examples of such music to build a library. Therefore, a system is required that can automatically generate similar classical music selections from a small amount of input music. Melody is the main element that reflects the rhythms and emotions of musical works; therefore, most automatic music generation research is based on melody. Given that melody varies frequently within musical bars, the latter are used as the basic units of composition. As such, there is a requirement for melody extraction techniques and bar-based encoding methods for automatic generation of bar-based music using melodies. This paper proposes a method that handles melody track extraction and bar encoding. First, the melody track is extracted using a pitch-based term frequency–inverse document frequency (TFIDF) algorithm and a feature-based filter. Subsequently, four specific features of the notes within a bar are encoded into a fixed-size matrix during bar encoding. We conduct experiments to determine the accuracy of track extraction based on verification data obtained with the TFIDF algorithm and the filter; an accuracy of 94.7% was calculated based on whether the extracted track was a melody track. The estimated value demonstrates that the proposed method can accurately extract melody tracks. This paper discusses methods for automatically extracting melody tracks from MIDI files and encoding based on bars. The possibility of generating music through deep learning neural networks is facilitated by the methods we examine within this work. To help the neural networks generate higher quality music, which is good for human health, the data preprocessing methods contained herein should be improved in future works.

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