Research on Lathe Automatic Design System

2009 ◽  
Author(s):  
Shurong Huang ◽  
Defang Liu ◽  
Bin Wang
Keyword(s):  
Design System ◽  
Automatic Design

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

Star tracker lens mechanical automatic design system on parametric modeling

2021 ◽  
Vol 0 (0) ◽  
pp. 1-11
Author(s):  
ZHU Jun-qing ◽  
◽  
◽  
SHA Wei ◽  
FANG Chao ◽  
...  
Keyword(s):  
Parametric Modeling ◽  
Design System ◽  
Star Tracker ◽  
Automatic Design

3D Parametric Unfolding Method for Sheet-Metal Part

2014 ◽  
Vol 488-489 ◽  
pp. 79-82
Author(s):  
Bo Sun ◽  
Long Chen
Keyword(s):  
Sheet Metal ◽  
3D Modeling ◽  
Mathematic Model ◽  
Design System ◽  
Automatic Design ◽  
Sheet Metal Part ◽  
Metal Part ◽  
3D Environment ◽  
Unfolding Method

The unfolding is the first step for the manufacturing of the sheet-metal part, which plays a major role for the accuracy and quality of the final product. Unfortunately, the inefficiency of the traditional drawing-based method made the process boring and sometime confusing. The CAD method made benefit for the designer. By means of the 3D modeling kernel and the mathematic model of unfolding process, the automatic design system of sheet-metal part was developed, in which the models are parametric and in 3D environment.

An integrated automatic design system for complex DSP algorithms

1990 ◽  
Vol 1 (4) ◽  
pp. 265-278
Author(s):  
J. van Meerbergen ◽  
J. Huisken ◽  
P. Lippens ◽  
O. McArdle ◽  
R. Segers ◽  
...  
Keyword(s):  
Design System ◽  
Automatic Design

scholarly journals EVOLUTIONARY ENVIRONMENT FOR 3D MORPHOLOGICAL DESIGN

2014 ◽  
pp. 56-62
Author(s):  
A. Lamas ◽  
R. J. Duro
Keyword(s):  
Design Process ◽  
Decision Process ◽  
Difficult Problem ◽  
Design System ◽  
Automatic Design ◽  
Engineering Information ◽  
Extract Information

This paper deals with the automation of morphological design. The system proposed here is a part of a complete automatic design system that considers the divergent and convergent stages of the design process through evolutionary procedures. The system provides a way to introduce aesthetics in the decision process. This is a difficult problem within an automatic design system, as aesthetics are subjective, depend on the opinions of humans and humans do not usually agree. The objective here is to be able to obtain the best possible aesthetic solutions for a given set of humans. This is achieved through the introduction of a set of man machine interfaces that allow the system to extract information on their relative opinions without explicitly asking them, and combines them with the engineering information provided by other simulators that participate in the design process.

Optimization and synthesis of a cam-linkage mechanism with a swing follower with variable pivot

2021 ◽  
pp. 095440622110369
Author(s):  
Liangwen Wang ◽  
Shizhao Zhang ◽  
Caidong Wang ◽  
Ruolan Wang ◽  
Huadong Zheng ◽  
...  
Keyword(s):  
Design Theory ◽  
Inverse Method ◽  
Spline Interpolation ◽  
Structural Parameters ◽  
Design System ◽  
Automatic Design ◽  
Linkage Mechanism ◽  
Relevant Model ◽  
Motion Range ◽  
Limit Position

In this paper, a cam-linkage mechanism with a swing follower with variable pivot has been studied. In this mechanism, the pivot of the swing follower is installed on a slider with an adjustable track direction, the follower performs a complex planar motion, and the motion range of the output angle can be adjusted according to the output requirements. In order to synthesize this mechanism, firstly, the relevant model is established and the basic structural parameters are optimized by considering the assembly conditions and the pressure angle under the limit position of the movement track of the follower mounting slider. Subsequently, the inverse method and the envelope theory are employed to derive the cam contour coordinates. Finally, the corresponding follower motion law is selected, the corresponding cam contour coordinates are calculated, and the entire cam contour curve is obtained using spline interpolation. An automatic design system for cam contours is developed. The processes are carried out through design examples and verified through motion simulations and prototype experiment. The present work can enrich the design theory of cam-linkage mechanisms.

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