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Future prospects of computer-aided design (CAD)

Introduction 

CAD is a tool for designing, manufacturing, and engineering. It is used in many industries and fields such as architecture, construction management, civil engineering and mechanical design. The use of CAD has been growing since its introduction in the 1970s by Autodesk Inc., which became one of the largest users of it worldwide. In fact, one can find every type of hardware or software product containing some level of functionality related to this technology on shelves at most electronics stores today (such as printers).

Computer-aided design (CAD) has been a popular design tool for decades, but it’s not just about making drawings anymore. CAD has evolved into a powerful tool for creating virtual prototypes and 3D models that can be printed in real life. The CAD market is expected to grow at a CAGR of 4% between 2018 and 2024, according to MarketsandMarkets research.

There is different software in the market for viewing CAD files. One such software is Glovius.

Glovius is a modern CAD viewing software which is available for different platforms such as window, cloud, android, iPhone etc. Which can be used for visualization of CAD files, Generating Bill of material, Analyze CAD file, measure different section etc.

CAD has been around for quite some time now—but what about its future? This blog will take a look at some common misconceptions about CAD’s potential future growth prospects based on recent developments in artificial intelligence (AI), extended reality (XR) technology such as augmented reality glasses/glasses-free displays combined with 3D printing technologies such as 3D printers capable printing anything from plastic pellets right down into stainless steel components designed specifically for use inside spaceships flying through space itself!

 

CAD from the perspective of AI

The first step in understanding the potential of AI in CAD is to understand what it can do for us.  Artificial intelligence (AI) application in CAD is a nascent technology that has the potential to revolutionize the industry. AI has the ability to improve the design process by reducing errors and improving quality, while simultaneously saving time and money

The artificial intelligence (AI) applications in CAD will help to make the CAD process more efficient and effective. This is because it can integrate the user data with other CAD systems, which helps to make the process more interactive and intuitive.

The AI applications in CAD can help to improve the productivity of users by providing them with a better interface that makes their work easier and more efficient. The AI applications also help to increase their accuracy and efficiency, which means they will be able to produce high-quality products faster than before.

Some examples of Application of Artificial Intelligence in CAD  

 Generative design : A common use of AI in CAD is generating models from scratch. This can be used as a way to design new products or as a way to start from scratch with an existing product. Generative design is a branch of computational creativity that uses advanced machine learning techniques to create artwork from random, or random-like, data. It’s also known as generative art and generative design. Generative design uses computer generated data to create a new product, which is then tested, refined, and optimized. The process continues until the end user has reached their desired results.Generative design can also be used with historical data. For example, if I wanted to create a new design based on an existing one, I could feed my CAD software with images of the original product and see how it changes based on how I change its dimensions or add features.Generative design is often used in CAD software, but it can also be used for other applications such as video games and virtual reality

Natural Language Processing : Another common use of AI in CAD is speech recognition technology and natural language processing (NLP). Speech recognition allows computers to understand human language by listening for specific phrases and sentences; NLP allows computers to understand what humans are saying when they talk about design concepts and then generate ideas based on those ideas based on past experiences with similar designs or materials used in other projects.

 

CAD from the perspective of extended reality 

Extended reality is a technology that allows us to interact with the digital world. It allows us to see and experience things in our real life, but also manipulate digital objects.

In the past, CAD has been limited to a 2D plane of space, but with extended reality we can go beyond this limitation by allowing users to navigate 3D spaces using their hands or other devices such as tablets or smartphones

The future prospect of extended reality (XR) in the field of computer-aided design (CAD) is a useful tool for CAD users. XR is a technology that allows users to see, hear, and interact with a computer-generated environment. It combines VR and AR technologies, which have already been developed by many companies such as Google and Facebook. According to Forbes magazine, 2018 will be an important year for XR because it will become more popular than ever before due to its ability to help people visualize their designs in 3D without having to go through tedious processes like paper drawing or computer software design tools.

Some examples of Application of Extended reality in CAD  

Virtual reality:

Virtual Reality (VR) is an artificial environment that can simulate physical experiences, allowing users to interact with our surroundings as if they were really there using special electronic devices such as HMDs like Google Glasses or Oculus Rift VR headset etc..

VR is a third-generation software technology, it’s development trend of cad. VR and cad are very close to each other, the two are in many aspects similar to each other. The CAD’VR devices are classified according to their function, such as: head mounted display (HMD), standalone display devices, remote control boxes and so on. For example: HMD can simulate the real-time operation space; standalone device can be used independently without a computer or mobile phone; remote controller box can control several devices at once; etc… 

The application of VR in the field of CAD is a more recent development. It has been used to design and manufacture products, but there is still room for improvement. In fact, most CAD systems do not support full-scale 3D models with realistic textures and lighting effects.

VR can be used to create realistic representations of an object or environment by combining real-time animation with virtual reality technology (VR). This allows users to interact with an object as if they were part of it by using motion sensors or game controllers such as gamepads or keyboards/mice connected wirelessly via Bluetooth connections.

 Augmented reality :

Augmented reality is an extension of the real world with virtual content that can be viewed by wearing special equipment such as Google Glasses or other head-mounted displays (HMDs), smartwatches and smartphones which contain cameras capable of capturing images from different angles simultaneously.

Augmented reality is a technology that allows you to view your model in its actual size and position in real-time and also at different angle ,including from above or below, which is great for checking out your design from different angles before building it. It also helps designers to effectively manage the design review process, which can be time-consuming, difficult and error prone.

Augmented reality (AR) has long been used as a way of augmenting physical objects with digital information – such as adding GPS coordinates or even animating them. But while this may be useful for basic CAD tasks like placing features on a blue screen or aligning two parts together, it isn’t ideal for complex designs where there are many moving parts between the object you see on screen and those around it.

In fact, one of the main advantages of using AR over conventional 3D modeling tools is how much easier it makes things like making changes after they have already been approved by other team members who might not understand what they mean at first glance!

Glovius is one of such software which provide VR support for android.

 

CAD from the perspective of 3D printing

3D printing is a technology that has been around for a while. The 3D printer was invented in 1984 by Chuck Hull and Dave Pettengill, both engineers at the University of Cincinnati. Since then, it has evolved into an industry with many uses for consumers and businesses alike.

Today’s 3D printers are becoming more affordable and accessible to anyone who wants to use them. If you have access to electricity and some basic knowledge about how to operate your machine (which isn’t too difficult), then you can print out whatever design you want! The only limitation is how much material you want printed at once; some machines can only print one object at once while others can print multiple objects simultaneously

In addition to being able to create plastic models/prototypes or even replacement parts for existing products made out of metal/wood etc., there are also applications where designers use 3D printed models as part of their workflow process by using them as reference points during concept development processes.

3D printing has many application areas. The most common use case is in the medical industry, where it’s used to create custom prosthetics and orthotics for patients. It can also be used to make more affordable replacement parts for mechanical systems like cars, airplanes and satellites.

In aerospace industry 3D printers are used for rapid prototyping of aircraft parts or even entire airplanes that could be built without any human intervention (no welders needed!). In automotive industry 3D printers help create new designs for engines as well as interior fixtures making them lighter weight than conventional manufacturing methods such as injection molding which requires lots of material waste due to temperatures required during production process

 

Conclusion

These next generation technologies could make CAD easier to use. The AI and XR capabilities of these systems will be able to understand the user’s intent, making them more efficient in a number of ways. For example, if you have an idea for a new building design but don’t know how much it costs or how long it will take to complete (or even how much space is needed), then these technologies could help you with those questions so that they are not left unanswered. Similarly, if someone wants something built quickly and cheaply but doesn’t want any mistakes made during construction (e.g., missed screws), then these systems could provide suggestions based on past experience with similar projects or simply by asking questions about what type of materials needed for each aspect/piece etc.. When combined together with 3D printing technology which allows people access immediately after being completed there could be no shortage from things .

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