Category: Technology

Evolving Industrial Design Technology Trends in 2019

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Manufacturers always prefer technologies that promise to make their firms more productive and profitable. One of the most recent concepts is the Internet of Things (IoT) which would revolutionize the industrial design technology. Additionally, use of Augmented Virtual Reality will offer industries to have more vivid experience of the real world. Digitalization is another concept that would give an apparent idea of development and technology dependent world. Further, Artificial Intelligence will become part of our daily life. So, let us briefly understand the Industrial Design Technology Trends in 2019.

Internet of things (IoT)

IoT is defined as a system of interlinked devices. The IoT for industries will empower new ways of ideation, engineering innovation, production execution, and service excellence. It is not just associated with physical objects but also about designing things in virtual space. It will completely change the connectivity power of electronics and software and their interaction. Such products will have the capability to increase the company’s profits as well as deliver significant benefits to consumers.

Augmented Virtual Reality

Augmented Virtual reality is going to change not only what customers do with products but also what they expect from them. It will provide consumers to experience the virtual world more vividly. In the case of designing, designers can pull their ideas out of the screen and can drop it into the real world at full scale. The designers will be able to visualize, interact, and report their findings on product quality from any part of the world. It will surely, advance the design technology and improve industry efficiency.

Digitalization

The use of Digital technologies changes the business model and distribute new income and value-producing chances to business. Digitalization will unquestionably improve the accessibility and will facilitate better information exchange worldwide. A proper digitalization plan will help industries to reinvent processes, improve quality and promote consistency.

Artificial Intelligence

Artificial Intelligence (AI) is changing everything, and the Design industry is a part of this change. It is a section of computer science that highlights the creation of intelligent machines which work and respond like humans. Artificial Intelligence Designers will lead multidisciplinary teams in the formation and designing. So, it is very likely that soon AI would take control of the product design domain as well.

Overall, in 2019 many more technologies will evolve which will completely digitalize the design industry and will promote overall organizational growth.

Top 5 Points on Implementation of VR in Product Designing

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Today’s most ground-breaking manufacturing companies are saving thousands of dollars and reducing construction timing by implementing virtual reality (VR). Whether these organizations are designing or authenticating their concepts, or seeing their application in real-time on the construction floor, immersive imagining is proving its worth. Therefore, we have listed below some points to demonstrate the application of VR, check it out:

1. CAD-oriented product design

VR is mainly useful to product design teams when they are testing and interrelating with the product.

2. Distinguish in details

Interpreting a virtual product design at a high frame rate is significant for interactive skills that need a lot of movement on the portion of the user. Understanding that there is a catch-22 between assigning resources for geometric difficulty and frame rate.

3. Aesthetics of geometry

Product designs vary importantly, and therefore, significance of aesthetics versus functionality needs to be understood well in advance. High-quality, fully detailed forms are important features that help communicate the aesthetic value.

4. Implementing VR system is not a piece of cake

Though the charge of implementing a VR system for product design continues to go down; however, the financial resources required to build, function and continue it is substantial. Getting people on board internally will be as stimulating as convincing decision-makers in management to pay money.

5. Return on Investments must not depress

Once the VR system is upheld at your organization, track how frequently people are using it, what they are using it for, and why they are using it on database. These records can help you create approximations for potential gains.

Precisely VR system not only helps you design team with advance procedures, but also supports product’s lifecycle. More so, it assists the team understand the ins and outs of installing, working, upholding and fixing a VR system design to produce greater ROI.

Does Digitalization Affect Manufacturing Economics?

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Digitalization has revolutionized the entire manufacturing sector. The labor-intensive industry has transformed into a technology-driven industry. Technology such as 3-D printing, CNC machining, industrial internet of things (IIoT), and artificial intelligence (AI) have optimized the manufacturing operations and have considerably reduced the production and maintenance cost. The details of this technological impact on manufacturing are listed below:

  1. Economically Viable Mass Customization

Digital manufacturing helps automate front-end engineering associated with customization. Interactive design for manufacturing (DFM-Design for Manufacturing) tools helps to analyze the design components before manufacturing, which significantly reduces manufacturing risks and enhance productivity. Precisely, these tools improve traceability across the manufacturing process making it more flexible and efficient. Concisely, this digitalization decreases the tooling cost and makes customization economically feasible.

  1. Improved Product Design and Manufacturing

Additive manufacturing is enabling manufacturing organizations to create new and improved products at a lower price. Under the additive manufacturing, engineers have design freedom and assembly reduction, which permits them to customize the product design according to the needs and demands of the industry and customers. Overall, the digital revolution is enhancing product quality, quantity, and variety.

  1. Low Maintenance Cost and Downtime

Machine learning and AI(Artificial Intelligence) could effectively reduce the maintenance and downtime cost. It is because planned and anticipated maintenance is more efficient compared to maintenance of unplanned problems. So, digital manufacturing helps to anticipate potential risks which eventually reduces the cost incurred due to unexpected events.

  1. Generating Revenue by Accelerating Production

Digital Manufacturing automates the process of design analysis, toolpathing, and front-end processes. This automation helps in the easy prototyping of product which in turn simplify the supply chain management. With the readily modeled design, manufacturers could enhance the procurement process and subsequently reduce the production time. As a result, the product is launched to the market in time, and high revenues are generated benefitting the manufacturing firm.

Overall, with the digitalization of the manufacturing industry, the labor-intensive work has reduced, and the productivity has increased exponentially. Consequently, the profits have escalated the cost of productivity and maintenance have decreased. All in all, the useful technology innovation in the manufacturing sector have benefitted the overall industry and have paved the way for improved production.

Artificial Intelligence Learns from Patient Data to Refine Cancer Treatment

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Artificial Intelligence (AI) and Machine Learning techniques in healthcare are reaching new heights through research and innovation every day. AI is used currently across all the treatment stages, right from the disease diagnosis, sample analysis, upto their medication and cure.

To make further studies, a team of researchers from the MIT(Madras Institute of Technology) focused on the brain cancer treatment. They reduced the deadly chemotherapy and radiotherapy dosage for the glioblastoma patients to obtain test results.

The team used a research model based on a technique known as the Reinforced Learning (RL). This method was inspired by behavioral psychology in which the model learns by reading the patient’s behavior automatically to generate the desired outcome. The adapted RL model which studied the treatment of glioblastoma used a combination of drugs such as Temozolomide (TMZ), Procarbazine, Lomustine, and Vincristine (PVC). For the test, the researchers:

  • Took a trial on a set of 50 patients.
  • For every patient, the model conducts about 20,000 trial-and-error tests.
  • The model, either initiates or withholds a dose for a patient.
  • Based on the reaction, it then decides what amount of dosage is sufficient.
  • The treatment cycles of the AI model reduced the effects of the disease to a great extent.

The RL model offers a significant improvement over the traditional “eye-balling” method of administering the patient dosage. The model observes how every patient responds towards the medication given to them and adjusts them accordingly to get the desired results. In this way, AI is learning new ways of medication from the patient data.

The New Mastercam 2019

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The New Mastercam 2019 is now exciting the engineers and mechanics with its innovative technology and features. The tool has already made simple “designing and modifications” in the virtual parts for these professionals. Here are some of the latest updates on the tool:

Deburr Toolpath- Engineering design professionals can now use the new toolpath for Multiaxis. The tool can break the edges for 3 to 5 axis and is capable of removing burrs. It can be used with tools such as the Ball end mill and Lollipop with undercut.

 

Chamfer Toolpath- Now also available for the 2D machining, this tool allows the designers to work on the solid edges and faces for chain geometry designs. It also helps to work on surfaces, solids, and meshes used for the avoidance model. The feature also has a set of unique parameters to havemore control over the toolpath.

 

Prime Turning Toolpath- Introduced in the 2018 model, it is now fully integrated into the Mastercam 2019 version. The feature now enables designers to include radius as small as 0.4 millimeters. The feature also gives access to the additional libraries that can be downloaded from Tech Exchange.

 

New Solid Hole Function-The new hole function can automate cylindrical hole punching mechanism which saves the designer’s time consumption in creating circles and extruding them. The feature also gives options to choose the hole types such as Counterbore, Countersink, Counterdrill, and Taper.

 

3D Tool Support- The new versionis now allowing designers to build tools from the 3D STEP models using the new Tool Designer feature. The tool designer here is a function panel that has tab-style navigation that offers a structured workflow similar to a wizard.

 

Advanced Toolpath Display-Mastercam, in the new version can now display toolpaths with different colors.  These colors are based on the type of the design moves. The designer has an option to toggle the Advanced Display. If the designer chooses not to use it, the tool displays only the cutting and rapid motion in different colors. The designer can then change this display state and colors as they wish.

 

On an overall basis, Mastercam has now made designing and modifications extremely easy for the engineering designers. These professionals can develop more detailed and precise designs using the new Mastercam. The advanced views and simulator in the latest version have made product designs more interactive and efficient.