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Industrial Machinery

How 3D printing is helping CERN scientists upgrade the world's largest machine


For the past five years, Antonio Pellegrino has been working on a high-pressure job: the scientist is leading an upgrade to the largest and most powerful particle accelerator ever built, which sits one hundred meters beneath the Franco-Swiss border at the European Organization for Nuclear Research (CERN). Commonly called the large hadron collider (LHC), the accelerator is a 27-kilometer-long ring in which particles such as protons and electrons are projected against one another at high speeds, recreating the conditions that existed one hundredth of a billionth of a second after the Big Bang – all for modern-day scientists to observe thanks to various high-precision detectors that sit inside the accelerator. SEE: An IT pro's guide to robotic process automation (free PDF) (TechRepublic) LHC was put on hold in 2015 for engineers and physicians to find ways to improve the accuracy of the accelerator's detectors. To do exactly that, Pellegrino turned to a technology that is currently used to design products ranging from food and fashion to human cells: 3D printing. Thanks to a partnership with technology company 3D Systems, some parts of the LHC have been springing out of 3D printers, as part of the design of the accelerator's detectors' cooling system.

James Bruton focus series #1: openDog, Mini Robot Dog & openDog V2


What if you could ride your own giant LEGO electric skateboard, make a synthesizer that you can play with a barcode reader, or build a strong robot dog based on the Boston Dynamics dog robot? Today sees the start of a new series of videos that focuses on James Bruton's open source robot projects. James Bruton is a former toy designer, current YouTube maker and general robotics, electrical and mechanical engineer. He has a reputation for building robot dogs and building Iron Man inspired cosplays. He uses 3D printing, CNC and sometimes welding to build all sorts of robotics related creations.

3D printing and AI startup Relativity Space secured $500 Million


Relativity Space, a California-based company that can 3D print an entire rocket and can build large metal 3D printers, has now secured $300 million in a Series D funding round. Relativity Space is founded by Tim Ellis in the year 2015. It combines 3D printing, autonomous robotics, and Artificial Intelligence to build a rocket in less than 60 days. The company is as of now on its way to launch an entirely 3D printed rocket to orbit. The company has a team size of 230 employees.

This Week's Awesome Tech Stories From Around the Web (Through October 31)


AI Has Cracked a Key Mathematical Puzzle for Understanding Our World Karen Hao MIT Technology Review "Partial differential equations can describe everything from planetary motion to plate tectonics, but they're notoriously hard to solve. Physicists 3D Print a Boat That Could Sail Down a Human Hair John Biggs Gizmodo "Researchers at Leiden University have 3D printed the smallest boat in the world: a 30-micrometer copy of Benchy the tug boat, a well-known 3D printer test object. This boat is so small, it could float down the interior of a human hair. The 3D-printed boat is part of an exploration of microswimmers, microscopic organisms or objects that can move through liquids." Record-Smashing Hybrid Drone Stays Airborne for a Crazy 10 Hours, 14 Minutes Luke Dormehl Digital Trends "i'HYBRiX is an innovation, inspired by hybrid cars, that combines the best of both technologies,' a spokesperson for Quaternium told Digital Trends, referring to the drone's clever gasoline and battery-electric hybrid power system.

You can get a 3D printed studio (yes, a printed apartment) for just over $100K

USATODAY - Tech Top Stories

A tiny California start-up is looking to printers to solve the housing crisis – actually, a very large 3D printer. The company, Mighty Buildings, has been showcasing small (350 square foot) studio apartment models of its new "ADU" units (Accessory Dwelling Units) aimed at backyards and selling for around $115,000. That is, if you do the work and deal with local governments to get all the permits, connect the utilities and install the unit. Have Mighty set it up for you, and you're looking around $184,000. Sam Ruben, the co-founder of the firm, says Mighty can have the home in place in just over two weeks.

I-nteract 2.0: A Cyber-Physical System to Design 3D Models using Mixed Reality Technologies and Deep Learning for Additive Manufacturing Artificial Intelligence

I-nteract is a cyber-physical system that enables real-time interaction with both virtual and real artifacts to design 3D models for additive manufacturing by leveraging on mixed reality technologies. This paper presents novel advances in the development of the interaction platform I-nteract to generate 3D models using both constructive solid geometry and artificial intelligence. The system also enables the user to adjust the dimensions of the 3D models with respect to their physical workspace. The effectiveness of the system is demonstrated by generating 3D models of furniture (e.g., chairs and tables) and fitting them into the physical space in a mixed reality environment.

Artificial Intelligence and 3D Printing are Together Molding the Manufacturing Sector


The integration of AI and 3D printing in manufacturing can help increase unit production rate, detect defects, and provide real-time control over the manufacturing process. As the name suggests, additive manufacturing is a method of building products by adding layers of components on one another. AI, on the other hand, as everyone knows, can automate monotonous tasks and bring accuracy in those tasks. The manufacturing sector has many repetitive labor tasks that make AI a perfect match for the manufacturing and 3D printing process.. AI can increase the production rate and accuracy of 3D production. Using computer vision, manufacturers can reverse engineer the existing models and create a new and improved product design.

Toolpath design for additive manufacturing using deep reinforcement learning Artificial Intelligence

Additive Manufacturing (AM) processes offer unique capabilities to build low-volume parts with complex geometries and fast prototyping from a variety of materials. Metal-based AM has become increasingly more popular over the last decade for manufacturing and repairing functional parts in automotive, medical and aerospace industries. Despite the great potential in metal-based AM market, the state-of-the-art practices involve rigorous trial and errors before achieving consistent parts with the desired geometric and material properties, which is mainly due to the sensitivity of the build on process parameters. While the influence of process parameters such as laser power, powder parameters, and scan speed on the microstructure and final properties of the AM build are extensively studied in the literature, the influence of toolpath strategies yet to be fully investigated. Authors in [Steuben et al., 2016] considered three different toolpath patterns for building a part using a fused deposition modeling process and demonstrated that the pattern has a significant effect on the ultimate strength and elastic modulus of the build. Akram et al. [Akram et al., 2018] formulated a microstructure model using a Cellular Automata (CA) and demonstrated a strong correlation between the toolpath pattern (i.e., unidirectional and bidirectional) and the grain orientations.

BMF CEO John Kawola on 3D printing parts smaller than a human hair


Ever since I was a boy, I was fascinated by the idea of miniaturization. I read Isaac Asimov's Fantastic Voyage and then, when I finally got my hands on the movie, I probably watched it a dozen times. The premise was that a team of scientists were miniaturized to the point where they could be injected into a person and perform surgery from the inside. Another movie with a similar premise was InnerSpace, starring the incredibly well-matched team of Martin Short and Dennis Quaid. There was the whole Honey, I Shrunk the Kids series of movies and TV shows, and I ate them up as well.

Commentary: The enabling technologies for the factories of the future - FreightWaves


In this installment of the AI in Supply Chain series (#AIinSupplyChain), we explore the topic of industrial supply chains and factories of the future since this is where the AI applications we are covering will primarily be used.