Creo 5.0 Offers AR, Topology Optimization and More

Yes! PTC has successfully launched a new version of parametric CAD software, Creo 5.0. This version of Creo is enticed with new extensions that will bring new functionalities among manufacturing, simulation, augmented reality, topology optimization, and also general productivity improvements.

Here, we have listed new features of the Creo 5.0:

  1. Additive and Subtractive Manufacturing:

The Creo 5.0 is extending support service of 3D printing with Creo Additive Manufacturing for Materialise allowing users to connect directly to printers for metal printing. Also, the Creo Mold Machining extension is giving high-speed 3-axis and 3+2 positioning machining which is optimized for molds, electrodes, and prototypes.

 

      2. Computational Fluid Dynamics:

The new feature of fluid flow extension allows product users or engineers to stimulate the fluid flow directly within Creo. The production company of Creo, PTC also claims that the fluid flow extension is easy to handle, accurate, and brings quick results.

 

      3. BI-Directional CAD:

There is a new collaboration extension which enables the bi-directional exchange of Creo parts and assemblies with the Autodesk Inventor.

  1. Augmented Reality:

With the development of the new version, PTC integrates Creo with AR platform, by allowing Creo users to manufacture and present AR experience from within the designs.

  1. Topology Optimization:

The feature of topology optimization will enable users to insert objectives and constraints. It will also allow the software to automatically create an optimized design.

  1. Productivity Improvements:

Creo 5.0 brings some improvements to the productivity of the user, which includes enhanced user interface, geometry creation, volume helical sweeps, design improvements, surface improvements and a lot more. The advancements in this CAD software will result in better functionality and effective product manufacturing.

PTC’s Brian Thompson also said that “Product designs these days requires advancements, and Creo continues evolving to meet the needs of customers.” The changes brought in the product Creo 5.0 reveals that it can help companies right from the earliest phase of design to smart, and useful product.

The significant features of Creo suggests that new functionalities and capabilities, sets the software apart and gives companies a true competitive edge from ideation till manufacturing.

Growing Engineering Jobs and Salaries

The US Department of Labor’s Bureau Labor Statistics (BLS) has recently stated that the rate of employment for engineering professionals is expected to rise up to 7% until the year 2026. Some other predictions are as follows.

  • This number is growing as fast as the average of all the occupations.
  • The agency has also predicted an approximate number of 194, 300 new jobs to open in engineering.
  • A number of industries are expected to offer these job opportunities including rebuilding infrastructure, renewable energy, oil and gas extension, robotics, cybersecurity, and advanced manufacturing.
  • In addition, the median annual wage for engineering occupants, in 2016 was observed as $77,900 which was more than twice as high as all the occupations in the economy.

5 Machine Learning Trends Will Train the IoT MarketAeroAstro Engineering

The ever-growing world of Information and Technology will soon experience new changes as IoT and machine learning is evolving rapidly. Here we have five of the most dominant machine learning trends that is set to change the IoT Market.

Mobile Machine Learning

The highly compressed machine learning chips will be probably the biggest trend that will affect the presence of IoT. These chips with neural network capabilities will not be as powerful as their cloud-based counterparts, still they will be capable of machine learning tasks.

Automated Data Science

The technology will automate tasks such as scribbling data, removing trivial errors, and deleting junk data which are carried out regularly and are also prone to errors. Such as advent, hence will make this process smooth.

Synthetic Data

Researchers who works on IoT and machine learning algorithms might need a certain amount of data to carry out experiments. In such cases, instead of creating their own data, these professionals can use already existing relevant data. Probably knows as the synthetic data, this collection can be immediately linked to a machine learning algorithm to carry out experimentation.

Machine Learning Hardware

Engineers have now developed some new machine learning hardware that can efficiently and quickly crunch numbers located on the cloud. These tools made the process more quick and affordable.

The Machine Learning’s Black Box Limitation

Machine learning algorithms are generally not programmed, but get evolved as experiment takes place to collect and process data to generate useful information. This can be a hurdle for those who try to deploy machine learning in medical devices. Researcher says they are still making efforts in this direction.

AeroAstro Engineering Student Explores Living on Mars 

Planet Mars has been fascinating the engineers all over the world for a long time. Researchers and scientists have been working to design simulated environments, rovers and safelights to explore the planet and its life possibilities.
To experience the living conditions and environment, a project called Poland Mars Analogue Simulation was designed.
The project aims to support real missions to Mars by giving researchers an opportunity to see what living and working on Mars will be like.
A team of engineers and researchers started experimenting with this project.
One among them was Aeronautics and Astronautics (AAE) graduate student Jennifer Pouplin. She has been an enthusiastic student studying astrodynamics and propulsion which made her a perfect fit for the experiment.
This was one of a kind of mission that is expected to help researchers potentially explore the planet.

Five successful women Engineers

8th of March marks the International Woman’s Day to celebrate the woman who has achieved great heights all over the world. Here we have five successful woman engineers that made the country proud.

 

Priya Balasubramaniam, Vice President of iPhone operations, Apple

Serving as the Vice President of iPhone operations, Priya Balasubramaniam started her journey with Apple since the year 2001. The lady then made great success in the International supply chain team. She has played a prominent role to expand Apple product manufacturing.

 

 

Nandini Ramani, Vice President of Engineering, Twitter

Nandini Ramani plays a significant role as the Vice President of Engineering in the organization. She is also a major contributor to Twitter’s product strategy to promote the marketing activities, particularly, in India.

 

Anjali Joshi, Vice President of Product Management, Google

Anjali Joshi has been working with Google for ten years. She is well known for her versatility and her capability to handle any situation in the organization. She also has worked for Google’s cloud, and infrastructure along with news and finance departments.

 

Komal Mangtani, Head of Data Intelligence, Uber

Komal, before joining Uber has been working as the head of engineering at Box. At present, the lady is working as the head of engineering at Uber. Her team works to help Uber explore more market opportunities and analyze the overall business performance.

 

 

 

Aparna Ramani, Director of Engineering, Facebook

Aparna Ramani is currently working with Facebook as the Director of Engineering. She leads a team of professionals that deals with and processes real-time data and analysis. The team is a significant player in technology for Facebook’s Newsfeed.