Additive manufacturing or 3D printing as it is known these days, uses one of three technologies to print 3D models:
1. Fused Deposition Modeling (FDM)
2. Stereolithography (SLA)
3. Selective Laser Sintering (SLS)
Fused Deposition Modelling (FDM) is the focus of this particular blog.
3D printing using FDM essentially implies that the object being printed is fused together by printing layer after layer in a certain pattern.
Objects are created by extruding layer upon layer of the heated material on the build tray or printing bed of the 3D printer. FDM 3D printers use a filament of certain material, usually plastic, which is passed through a hot end, to melt. The melted filament material is used to make layers which are then fused together to give the object its final shape. A wide variety of materials can be used for FDM 3D printing like plastics, pastes and some metals as well.
FDM 3D printers can be fitted with a wide variety of extrusion systems or extruders like filament extruders, pellet extruders, chocolate extruders and paste extruders depending on the required model to be printed. Scalability is the biggest advantage of using the FDM technique for 3D printing. None of the other available 3D printing techniques like SLS and SLA, can be scaled like FDM, without major issues propping up. This means FDM 3D printers are continually being made less expensive and bigger, owing to low cost of parts and the simple designs used.
Another advantage of FDM 3D printing is the wide variety of materials that can be used for this technique. FDM printers support many thermoplastics and changing the filament material requires few upgrades and modifications, which can be an issue when using SLS or SLA 3D printing techniques.
FDM’s notable disadvantage is the lack of detail and low quality of the printed models. This can be attributed to the fact that material is extruded in layers. Moreover, the thickness of layer is predefined by the type of extrusion nozzle being used, again limiting the detail that can be produced for a given model. As models are printed layer by layer, they are also prone to developing weak points where the layers are joined, making them unsuitable for certain applications.
Despite the above disadvantages FDM remains by far the most popular 3D printing technique that is used to print 3D models.
Till recently, the process of transforming a 3D printed things right into a ready-to-use item was still laborious belief, for instance, of manually cutting tags or other assistance structures, or sanding, polishing as well as over painting.The series of applications for 3D printers is becoming even broader.
This is why we hear a lot regarding innovative tasks in aerospace, the production market as well as clinical scientific research.
Equally as fascinating is the introduction of full-color 3D inkjet technology, which can be used to publish 3D objects in no less than 10 million colors.
Printing models in full colorThe UV led inkjet print technology advertises the development significantly.
The product is equally as hard as ABS, making it ideal for various applications, and similar to traditional inkjet printers, it can also create more than 10 million colors.
There are indeed numerous 3D printers on the marketplace, however, they mainly differ in facets like the print resolution and sorts of product they sustain.
Worldwide 3D printing is becoming a mainstream manufacturing technology.
It is becoming more accessible globally as consumers have begun to innovate across various industries.
It offers a plethora of opportunities in the production, design, performance of novel architectural forms, construction systems, and materials.
Across the Globe, 3D printing and related technologies are emerging continuously in line with the intensive R activities being undertaken and the proactive investments being made by the private sector and the public sector.
It has halted the production process and led to a shortage of raw materials thus, hampering the supply chain.
The key market players focus on inventing the 3D printing technology in response to the growing demand for 3D printing applications from the automotive, healthcare, and aerospace and defence verticals for manufacturing purposes.
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According to a research report "Cognitive Assessment and Training Market by Assessment Type (Pen- and Paper-Based, Hosted, Biometrics), Component, Application (Clinical Trial, Screening & Diagnostics, Brain Training, Academic Research), Vertical, and Region - Global Forecast to 2021", published by MarketsandMarkets, the cognitive assessment and training market size is expected to grow from USD 1.98 Billion in 2016 to USD 8.06 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 32.3%.Browse 63 market data tables and 47 figures spread through 150 pages and in-depth TOC on "Cognitive Assessment and Training Market - Global Forecast to 2021"The major forces driving this market are aging global population, increasing awareness about brain fitness, and advancements in technology.
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The assessment of cognitive functions is an integral part of decision-making during clinical drug development, as certain drugs can have an impact on the cognitive capabilities of the brain.
The market is expected to contribute the highest revenue for vendors offering clinical trials.Education vertical is expected to grow at the highest CAGR in the marketCognitive assessment solutions and services are used in the education vertical for screening prospective candidates for schools or colleges.
The leading cognitive assessment and training vendors for this vertical are Pearson Assessment and CogniFit.North America is expected to contribute to the largest market share and Asia-Pacific to grow at the highest CAGRNorth America is expected to hold the largest market share and to dominate the cognitive assessment and training market from 2016 to 2021, due to the increasing awareness among population about adopting medication for cognitive diseases.
The new generation in this region is more concerned toward the benefits of cognitive training, which is not just limited to patients with cognitive dysfunctions.
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