Computer-aided Design
Computer-aided Design - Related Videos
07:42
Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material
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2024
A quasistatic load-to-fracture test with a non-fixed stainless steel ball was developed to determine the fracture strength of minimally invasive posterior computer-aided design and manufacturing restorations cemented to dentin analog materials. This test models the typical loading regime responsible for the fracture of dental restorations.
07:51
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
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Cited by 1 •
2018
This article presents a protocol based on Hydra — a web-based system for clinical decision support that integrates a full and detailed set of functionalities and services required by physicians for complete cardiovascular analysis, risk assessment, early diagnosis, treatment, and monitoring over time.
02:01
Group Design
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2020
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
06:42
From Theory to Design: The Role of Creativity in Designing Experiments
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University Research studies come into being when a researcher speculates about human thought, emotions, or behavior, and has a theory that offers a potential explanation. Often the researcher’s theory is firmly situated in everyday common experiences that may not naturally lend themselves to direct empirical study. For example, researchers speculated that perception of a person on Facebook is influenced by...
02:01
Factorial Design
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2020
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
FAQs
These features control how geometry behaves and how parts relate to one another. Dimensions specify measurable design requirements, constraints preserve intended relationships during revisions, and assembly relationships organize components within a larger system. Together, they help maintain design intent as engineers modify individual features, reducing inconsistencies across parts, assemblies, and associated documentation.
Different geometric entities provide different levels of control over a design. Points and lines support basic geometry, surfaces describe external forms, and solid features represent objects with volume. This layered representation allows engineers to build precise two- and three-dimensional models, revise selected portions efficiently, and prepare the same design for analysis, documentation, or manufacturing-related work.
A digital model can be examined and analyzed before a physical version exists. Engineers can visualize the design, apply relevant material information, and use simulation or other analysis capabilities to identify problems early. Finding errors during digital development can reduce the need for costly physical changes and improve confidence before prototyping, fabrication, or construction.
A typical workflow begins by creating geometric entities and developing them into a two- or three-dimensional model. Engineers then add dimensions, constraints, materials, and assembly relationships as needed. The completed model can support documentation, visualization, analysis, prototyping, or computer-aided manufacturing, while revisions remain possible before the design moves toward physical production or construction.
CAD supports a broad range of engineering work, including products, buildings, machines, and infrastructure. Its models can serve drafting and documentation needs, communicate design intent through visualization, and provide input for simulation, prototyping, or computer-aided manufacturing. The same digital approach therefore applies across both individual components and larger physical systems.
A shared digital model gives project participants a precise representation that can be revised and documented without repeatedly redrawing the design manually. This supports clearer communication, faster iteration, and more consistent engineering records. By exposing errors earlier and shortening revision cycles, CAD can reduce development time and the cost associated with later fabrication or construction changes.