HP transforming manufacturing with breakthrough 3D printing technology

whitePaper | April 25, 2023

Automation is crucial to increase productivity and efficiency in the manufacturing industry. Remote access to industrial automation devices is essential for manufacturers to control and update their devices from anywhere at any time. However, this is often a challenging task due to cybersecurity requirements, communication protocols, and complex network architectures. The white paper discusses a secure connectivity service that enables remote access to industrial automation devices from SDA’s cloud‑hosted services.

whitePaper | June 26, 2022

the state-of-the-art procedure and the currently valid standards are presented. Subsequently, existing gaps and possible issues related to additive manufacturing (AM) technology are pointed out. Finally, a feasible procedure is outlined. This first section deals with the process chain and their qualification and validation. Until recently, there was no standard definition of the AM manufacturing process steps. There was a broad consensus to divide the process into pre-, in-, and post-process, but there was no clear division.

whitePaper | September 21, 2022

In its early days, 3D Printing reinvented the prototyping process by allowing a faster and more cost-efficient way to create new products. The effortless experimentation with CAD designs and the production of proof-of-concepts with almost no design limitations or material waste, revolutionized the prototyping world.

whitePaper | May 20, 2020

Today's manufacturers have had to pivot quickly to adapt to demands brought on by COVID-19. Business Intelligence and analytics have played a vital role in providing the most successful manufacturers with insights necessary to find new ways to: Improve product and service quality.

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | May 11, 2022

The Upcoming digital transformation of the print and media industry towards, printing industry 4.0 is leading to an even closer integration of industry players with their customer, suppliers and partners. The distrubution of task between the parties involved has been evolving in some areas, providing an increasing number of opportunities to add value to products and services.