Neural Networks for Modeling the Contact Foot-Shoe Upper

2010 ◽  
pp. 561-573
Author(s):  
M. J. Rupérez ◽  
J. D. Martín ◽  
C. Monserrat ◽  
M. Alcañiz
Keyword(s):  
Neural Networks ◽  
Computer Aided Design ◽  
Characteristic Curve ◽  
Neural Model ◽  
Computer Aided ◽  
Materials Used ◽  
Aided Design ◽  
Footwear Design ◽  
The Relationship

Recently, important advances in virtual reality have made possible real improvements in computer aided design, CAD. These advances are being applied to all the fields and they have reached to the footwear design. The majority of the interaction foot-shoe simulation processes have been focused on the interaction between the foot and the sole. However, few efforts have been made in order to simulate the interaction between the shoe upper and the foot surface. To simulate this interaction, flexibility tests (characterization of the relationship between exerted force and displacement) are carried out to evaluate the materials used for the shoe upper. This chapter shows a procedure based on artificial neural networks (ANNs) to reduce the number of flexibility tests that are needed for a comfortable shoe design. Using the elastic parameters of the material as inputs to the ANN, it is possible to find a neural model that provides a unique equation for the relationship between force and displacement instead of a different characteristic curve for each material. Achieved results show the suitability of the proposed approach.

Intelligent Automated Welding for Shipyard Applications

1992 ◽  
Vol 8 (02) ◽  
pp. 77-88
Author(s):  
S. Madden ◽  
H. H. Vanderveldt ◽  
J. Jones
Keyword(s):  
Neural Networks ◽  
Computer Technology ◽  
Computer Aided Design ◽  
Data Systems ◽  
Fully Integrated ◽  
Computer Aided Process Planning ◽  
Computer Aided ◽  
Process Operation ◽  
Aided Design ◽  
Computerized System

Computer Aided Process Planning (CAPP) integrated with Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) will form the basis of engineering/planning systems of the future. These systems will have the capability to operate in a paperless environment and provide highly optimized process operation plans. The WELDEXCELL System is a prototype of such a system for welding in shipyards. The paper discusses three significant computer technology advances which have been in into the WELDEXCELL prototype. First is a computerized system for allowing multiple knowledge sources (expert systems, humans, data systems, etc.) to work together to solve a common problem (the weld plan). This system is called a "blackboard." The second is a methodology for the blackboard to communicate to the human user. This interface includes full interactive graphics fully integrated to CAD as well as data searches and automatic completion of routine engineering tasks. The third is artificial neural networks (ANS's), which are based on biological neural networks (such as the human brain) and which can do neural reasoning tasks about difficult problems. ANS's offer the opportunity to model highly complex multivariable and nonlinear processes (for example, welding) and provide a means for an engineer to quantitatively assess the process and its operation.

scholarly journals Awareness Among Dental Undergraduate Students Regarding CAD/CAM Technology—A Survey Report

2019 ◽  
Vol 09 (02) ◽  
pp. 57-63
Author(s):  
Sushmita V. Palanisamy ◽  
Chethan Hegde
Keyword(s):  
Undergraduate Students ◽  
Computer Aided Design ◽  
Sample Selection ◽  
Computer Aided Manufacturing ◽  
The Third ◽  
Survey Report ◽  
Computer Aided ◽  
Cad Cam ◽  
Materials Used ◽  
Aided Design

Abstract Background Contemporary dentistry is advancing toward computer-aided design/ computer-aided manufacturing (CAD/CAM) technology. But the budding dentists are unaware about the advancement. This survey aims at detecting the level of awareness among the undergraduate students and then correlating those results to modify the future curriculum. Objective The study aims (1) to assess the awareness among the dental undergraduate students and (2) to correlate the level of awareness among the third years, final years, and interns. Sample Selection Study sample consist of 300 students (third year students, final year students, and interns) of A. B. Shetty Memorial Institute of Dental Sciences, Mangalore, Karnataka, India. The information of the survey was collected with the help of a questionnaire. Results More than 70% of the students were aware about the basic functioning of CAD/CAM unit and approximately 74% of the students were unaware about the materials used to fabricate the prosthesis using CAD/CAM technology.

scholarly journals Torsional strength of computer-aided design/computer-aided manufacturing–fabricated esthetic orthodontic brackets

2016 ◽  
Vol 87 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Najla Alrejaye ◽  
Richard Pober ◽  
Russell Giordano II
Keyword(s):  
Computer Aided Design ◽  
Resin Composite ◽  
Orthodontic Brackets ◽  
Computer Aided Manufacturing ◽  
Torsional Strength ◽  
Computer Aided ◽  
Ceramic Brackets ◽  
The Mean ◽  
Materials Used ◽  
Aided Design

ABSTRACTObjective: To fabricate orthodontic brackets from esthetic materials and determine their fracture resistance during archwire torsion.Materials and Methods: Computer-aided design/computer-aided manufacturing technology (Cerec inLab, Sirona) was used to mill brackets with a 0.018 × 0.025-inch slot. Materials used were Paradigm MZ100 and Lava Ultimate resin composite (3M ESPE), Mark II feldspathic porcelain (Vita Zahnfabrik), and In-Ceram YZ zirconia (Vita Zahnfabrik). Ten brackets of each material were subjected to torque by a 0.018 × 0.025-inch stainless steel archwire (G&H) using a specially designed apparatus. The average moments and degrees of torsion necessary to fracture the brackets were determined and compared with those of commercially available alumina brackets, Mystique MB (Dentsply GAC).Results: The YZ brackets were statistically significantly stronger than any other tested material in their resistance to torsion (P < .05). The mean torques at failure ranged from 3467 g.mm for Mark II to 11,902 g.mm for YZ. The mean torsion angles at failure ranged from 15.3° to 40.9°.Conclusion: Zirconia had the highest torsional strength among the tested esthetic brackets. Resistance of MZ100 and Lava Ultimate composite resin brackets to archwire torsion was comparable to commercially available alumina ceramic brackets.

The Research on Automatic Liquor Blending Systems Based on Wavelet Neural Networks

2013 ◽  
Vol 765-767 ◽  
pp. 1019-1022
Author(s):  
Lian Jun Hu ◽  
Xiao Hui Zeng ◽  
Hong Song ◽  
Qian Li
Keyword(s):  
Neural Networks ◽  
Computer Aided Design ◽  
Mathematic Model ◽  
Wavelet Neural Networks ◽  
Time Frequency ◽  
The Neural Network ◽  
Computer Aided ◽  
Time Frequency Localization ◽  
Aided Design ◽  
Self Learning

The blending of liquors is a key process in the production of liquors. According to time-frequency localization characteristics of the wavelet transform and advantages of the neural network such as ability to develop, fault-tolerance, self-adaptability, self-learning, and robustness, a mathematic model based on wavelet neural networks is proposed in liquor blending processes with the help of computer-aided design technologies, which makes liquor blending technologies more scientific.

Computer Aided Design and Analysis of Composite Structure

2014 ◽  
Vol 1036 ◽  
pp. 989-994 ◽  
Author(s):  
Michał Majzner ◽  
Andrzej Baier
Keyword(s):  
Layered Structure ◽  
Computer Aided Design ◽  
Object Oriented ◽  
Verification And Validation ◽  
Structural Components ◽  
Modeling And Analysis ◽  
Computer Aided ◽  
The Individual ◽  
Aided Design ◽  
The Relationship

Feature is one of the methods for representing objects from which are representing components, products and processes. This article presents methods for integration of features of methods in modeling and analysis of composite structural components. The aim of the research is to develop methods for verification and validation of composite layered structure, distinguishing components of the individual layers and identify the relationship between them. By applying the method of features it is possible to determine the structure of the composite fit to the requirements of design and construction. Proposed new types of feature, which allows the creation of object-oriented structures of composite components.

scholarly journals Computer aided production process design work methods

Mechanik ◽  
2017 ◽  
Vol 90 (8-9) ◽  
pp. 805-807
Author(s):  
Izabela Rojek
Keyword(s):  
Neural Networks ◽  
Expert System ◽  
Production Process ◽  
Process Design ◽  
Computer Aided Design ◽  
Design Work ◽  
Production Processes ◽  
Computer Aided ◽  
Research Procedure ◽  
Aided Design

The article presents the computer aided design methods as applied for arrangement of production processes in the range from the simplest to the most advanced ones. The idea behind the research procedure as conducted by the author was to develop a method, models and expert system that would resemble a human expert in the field. This goal was achieved using neural networks.

High Performance SiGe HBT Performance Variability Learning by Utilizing Neural Networks and Technology Computer Aided Design

2020 ◽  
Vol 98 (5) ◽  
pp. 127-134
Author(s):  
Henry Lee Aldridge ◽  
Jeffrey B Johnson ◽  
Rajendran Krishnasamy ◽  
Vibhor Jain ◽  
Rahul Mishra ◽  
...  
Keyword(s):  
Neural Networks ◽  
Computer Aided Design ◽  
High Performance ◽  
Sige Hbt ◽  
Performance Variability ◽  
Computer Aided ◽  
Aided Design
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