INTEGRATION AND EVALUATION OF A PROPOSAL FOR STRATEGIC KNOWLEDGE TEACHING IN CAD

10.6036/9505 ◽  
2021 ◽  
Vol 96 (1) ◽  
pp. 145-149
Author(s):  
XABIER GARIKANO OSINAGA ◽  
MIKEL GARMENDIA MUJIKA ◽  
ANGEL PEREZ MANSO ◽  
ENEKO SOLABERRIETA MENDEZ
Keyword(s):  
Computer Aided Design ◽  
Empirical Test ◽  
Control Group ◽  
Strategic Knowledge ◽  
Learning Framework ◽  
Design Changes ◽  
Professional Requirements ◽  
Teaching Learning ◽  
Didactic Strategies ◽  
Aided Design

Computer-aided design competency is critical for an engineering graduate starting in the world of work. Therefore, the development of this competency must be in line with professional requirements and consider the design constraints. For example, in the case of modeling, a geometrically correct model may not be sufficient if it is unable to withstand the modifications required by design changes. Therefore, we consider that training must be based on the development of this knowledge, known as strategic knowledge, and encourage its acquisition. This article describes a CAD training proposal focused on the development of strategic knowledge. Starting from the contributions of researchers, the modeling process is broken down so that it can be reproduced in the different scenarios that may be presented at the time of modeling. In order to facilitate the acquisition of this knowledge, an active learning framework has been established and specific didactic strategies have been developed for this purpose. Finally, the results of an empirical test are presented after the implementation of this proposal in which the results show a notable improvement in the experimental group in relation to the control group. Keywords: CAD modeling, teaching-learning, strategic knowledge

scholarly journals Prototype of Augmented Reality Technology for Orthodontic Bracket Positioning: An In Vivo Study

2021 ◽  
Vol 11 (5) ◽  
pp. 2315
Author(s):  
Yu-Cheng Lo ◽  
Guan-An Chen ◽  
Yin Chun Liu ◽  
Yuan-Hou Chen ◽  
Jui-Ting Hsu ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Navigation System ◽  
Computer Aided Design ◽  
Control Group ◽  
Orthodontic Bracket ◽  
Bracket Position ◽  
Aided Design ◽  
Clinical Error ◽  
And Control

To improve the accuracy of bracket placement in vivo, a protocol and device were introduced, which consisted of operative procedures for accurate control, a computer-aided design, and an augmented reality–assisted bracket navigation system. The present study evaluated the accuracy of this protocol. Methods: Thirty-one incisor teeth were tested from four participators. The teeth were bonded by novice and expert orthodontists. Compared with the control group by Boone gauge and the experiment group by augmented reality-assisted bracket navigation system, our study used for brackets measurement. To evaluate the accuracy, deviations of positions for bracket placement were measured. Results: The augmented reality-assisted bracket navigation system and control group were used in the same 31 cases. The priority of bonding brackets between control group or experiment group was decided by tossing coins, and then the teeth were debonded and the other technique was used. The medium vertical (incisogingival) position deviation in the control and AR groups by the novice orthodontist was 0.90 ± 0.06 mm and 0.51 ± 0.24 mm, respectively (p < 0.05), and by the expert orthodontist was 0.40 ± 0.29 mm and 0.29 ± 0.08 mm, respectively (p < 0.05). No significant changes in the horizontal position deviation were noted regardless of the orthodontist experience or use of the augmented reality–assisted bracket navigation system. Conclusion: The augmented reality–assisted bracket navigation system increased the accuracy rate by the expert orthodontist in the incisogingival direction and helped the novice orthodontist guide the bracket position within an acceptable clinical error of approximately 0.5 mm.

COOPERATIVE DYNAMICS 1-2-4 IN THE TEACHING/LEARNING OF COMPUTER-AIDED DESIGN

2020 ◽  
Author(s):  
Eneko Solaberrieta ◽  
Xabier Amezua ◽  
Xabier Garikano ◽  
Jose Antonio Oriozabala ◽  
Iñaki Martin ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Computer Aided ◽  
Cooperative Dynamics ◽  
Teaching Learning ◽  
Aided Design

A Machine Learning Framework for Decision Support in Design and Manufacturing

2021 ◽  
pp. 479-498
Author(s):  
Aditya Balu ◽  
Sambit Ghadai ◽  
Gavin Young ◽  
Soumik Sarkar ◽  
Adarsh Krishnamurthy
Keyword(s):  
Product Development ◽  
Computer Aided Design ◽  
Iterative Process ◽  
Development Process ◽  
Product Development Process ◽  
Design Environment ◽  
Learning Framework ◽  
Design And Manufacturing ◽  
Product Design Process ◽  
Aided Design

The widespread adoption of computer-aided design (CAD) and manufacturing (CAM) tools has resulted in the acceleration of the product development process, reducing the time taken to design a product [46]. However, the product development process, for the most part, is still decentralized with the design and manufacturing reviews being performed independently, leading to differences between as-designed and as-manufactured component. A successful product needs to meet its specifications, while also being manufacturable. In general, the design engineer ensures that the product is able to function according to the specified requirements, while the manufacturing engineer gives feedback to the design engineer about its manufacturability. This iterative process is often time consuming, leading to longer product development times and higher costs. Recent researches in integrating design and manufacturing [24, 28, 46] have tried to reduce these differences and making the product development process easier and accessible to designers, who may not be manufacturing experts. In addition, there have been different efforts to enable a collaborative product development process and reduce the number of design iterations [8, 10, 41]. However, with the increase in complexity of designs, integrating the manufacturability analysis within the design environment provides an ideal solution to improve the product design process.

WirePATH Rapid Tooling Process and Supporting Software Development

2003 ◽  
Author(s):  
Alexander Lee ◽  
James Brink ◽  
David Anderson ◽  
Karthik Ramani
Keyword(s):  
Computer Aided Design ◽  
Electrical Discharge Machining ◽  
Computer Software ◽  
Wire Edm ◽  
Overall Design ◽  
Design Changes ◽  
Mold Making ◽  
Recent Developments ◽  
New Applications ◽  
Aided Design

Recent developments in Computer Aided Design (CAD) have drastically reduced overall design cycle time and cost. In this paper, wirePATH, a new method for rapid direct tooling, is presented. By using specialized interactive segmentation computer software and wire electrical discharge machining (wire EDM), wirePATH can reduce manufacturing time and cost for injection molds, casting patterns, and dies. Compared to other conventional-mold making methods, wirePATH can reduce fabrication time by as much as 40 to 70%. Wirepath can use a combination of wire EDM and other processes. Our method provides a new means to produce a greater variety in products by changing only portions of the tooling. Segments allow a part of a mold to be replaced to accommodate design changes and repair. WirePATH enables new applications of wire EDM to more complex shapes by bridging the gaps between CAD, our method, wire EDM and conventional manufacturing processes.

scholarly journals Demonstration of Fin-Tunnel Field-Effect Transistor with Elevated Drain

Micromachines ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 30 ◽  
Author(s):  
Jang Hyun Kim ◽  
Hyun Woo Kim ◽  
Garam Kim ◽  
Sangwan Kim ◽  
Byung-Gook Park
Keyword(s):  
Computer Aided Design ◽  
Field Effect ◽  
Field Effect Transistor ◽  
Electrical Performance ◽  
Control Group ◽  
Effect Transistor ◽  
Tunnel Field Effect Transistor ◽  
Tcad Simulation ◽  
High Level ◽  
Aided Design

In this paper, a novel tunnel field-effect transistor (TFET) has been demonstrated. The proposed TFET features a SiGe channel, a fin structure and an elevated drain to improve its electrical performance. As a result, it shows high-level ON-state current (ION) and low-level OFF-state current (IOFF); ambipolar current (IAMB). In detail, its ION is enhanced by 24 times more than that of Si control group and by 6 times more than of SiGe control group. The IAMB can be reduced by up to 900 times compared with the SiGe control group. In addition, technology computer-aided design (TCAD) simulation is performed to optimize electrical performance. Then, the benchmarking of ON/OFF current is also discussed with other research group’s results.

Exploratory design using constraints

1987 ◽  
Vol 1 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Weng Tat Chan ◽  
Boyd C. Paulson
Keyword(s):  
Structural Design ◽  
Computer Aided Design ◽  
Design Solution ◽  
Simple Scheme ◽  
Dual Nature ◽  
Design Changes ◽  
Heuristic Procedures ◽  
Rules Of Thumb ◽  
Design Consistency ◽  
Aided Design

Engineering design involves the evaluation and satisfaction of a wide variety of constraints. The ability to represent and process these constraints in a computer is important for the verification of the output produced by computer-aided design programs. Constraints need not only check designs but can also be used to derive design solution s that satisfy constraints. The paper discusses how to represent the dual nature of constraints so that design consistency is maintained as the design evolves.Assumptions and rules of thumb are used frequently in design to propose initial solutions. We represent the logic behind the derivation of these assumptions as heuristic procedures and maintain the dependencies between these assumptions and their consequents as an aid to the management of design consistency. We also propose a simple scheme, involving the partitioning of the design modules, to effect design changes when constraint violations occur. An example from structural design illustrates the methodology.

scholarly journals Study of Morpho-Geometric Variables to Improve the Diagnosis in Keratoconus with Mild Visual Limitation

Symmetry ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 306 ◽  
Author(s):  
Francisco Cavas-Martínez ◽  
Daniel Fernández-Pacheco ◽  
Francisco Cañavate ◽  
Jose Velázquez-Blázquez ◽  
Jose Bolarín ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Operating Characteristic ◽  
Three Dimensional ◽  
Patient Specific ◽  
Control Group ◽  
Spatial Profile ◽  
New Methods ◽  
Geometric Variables ◽  
Aided Design

The validation of new methods for the diagnosis of incipient cases of Keratoconus (KC) with mild visual limitation is of great interest in the field of ophthalmology. During the asymmetric progression of the disease, the current diagnostic indexes do not record the geometric decompensation of the corneal curvature nor the variation of the spatial profile that occurs in singular points of the cornea. The purpose of this work is to determine the structural characterization of the asymmetry of the disease by using morpho-geometric parameters in KC eyes with mild visual limitation including using an analysis of a patient-specific virtual model with the aid of computer-aided design (CAD) tools. This comparative study included 80 eyes of patients classified as mild KC according to the degree of visual limitation and a control group of 122 eyes of normal patients. The metric with the highest area under the receiver operating characteristic (ROC) curve was the posterior apex deviation. The most prominent correlation was found between the anterior and posterior deviations of the thinnest point for the mild keratoconic cases. This new custom computational approach provides the clinician with a three-dimensional view of the corneal architecture when the visual loss starts to impair.

scholarly journals The Quiet Forefront

2014 ◽  
Vol 136 (08) ◽  
pp. 44-49 ◽  
Author(s):  
Jean Thilmany
Keyword(s):  
Computer Aided Design ◽  
Consumer Electronics ◽  
Element Analysis ◽  
Design Engineers ◽  
Acoustical Analysis ◽  
Design Changes ◽  
Development Cycle ◽  
Design Cycle ◽  
The Many ◽  
Aided Design

This article highlights the acoustical analysis changes made by manufacturers in design cycle. Acoustical simulation is being pushed from experts to designers, following the trend for the last 15 or so years that saw other types of engineering applications like finite element analysis and computational fluid dynamics become integrated with computer-aided design packages used by mechanical engineers. With the advent of software packages that allow for design and for acoustical analysis in tandem, design engineers are increasingly running these analyses early in the development cycle and are making design changes to decrease noise and vibration issues they find. Experts suggest that with speaker sound quality and other pertinent information in hand, designers can actually design from the get-go with that information in mind, resulting in fewer design changes down the line. Though early acoustical simulation is still perhaps one of the consumer electronics’ industries best-kept secrets, that’s likely to change as word gets out about the many advantages of front-line simulation.

A Vision-Based Framework for Enhanced Quality Control in a Smart Manufacturing System

2019 ◽  
Author(s):  
Zixuan Yang ◽  
Huaiyuan Teng ◽  
Jeremy Goldhawk ◽  
Ilya Kovalenko ◽  
Efe C. Balta ◽  
...  
Keyword(s):  
Computer Vision ◽  
Quality Control ◽  
Computer Aided Design ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Dimensional Metrology ◽  
Design Changes ◽  
Central Controller ◽  
Aided Design ◽  
Smart Manufacturing Systems

Abstract Dimensional metrology is an integral part of quality control in manufacturing systems. Most existing manufacturing systems utilize contact-based metrology, which is time consuming and not flexible to design changes. There have been recent applications of computer vision for performing dimensional metrology in manufacturing systems. Existing computer vision metrology techniques need repeated calibration of the system and are not utilized with data analysis methods to improve decision making. In this work, we propose a robust non-contact computer vision metrology pipeline integrated with Computer Aided Design (CAD) that has the capacity to enable control of smart manufacturing systems. The pipeline uses CAD data to extract nominal dimensions and tolerances. The dimensions are compared to the measured ones, computed using camera images and computer vision algorithms. A quality check module evaluates if the measurements are within admissible bounds and informs a central controller. If a part does not meet a tolerance, the central controller changes a program running on a specific machine to ensure that parts meet the necessary specifications. Results from an implementation of the proposed pipeline on a manufacturing research testbed are given at the end.

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