Manufacturing IT, MES

Duke University researchers chose arbitrary frequency responses for their machine learning system to find metamaterials to create (circles). The resulting solutions (blue) fit well with both the desired frequency responses and those simulated by commercial software (grey). Courtesy: Duke University
AI and Machine Learning September 29, 2019

Machine learning model finds metamaterial designs for energy harvesting

Duke University electrical engineers are using machine learning to design dielectric metamaterials that absorb and emit specific frequencies of terahertz radiation, which could create new, sustainable types of thermal energy harvesters and lighting.

By Ken Kingery
Figure 4: The Innovation Center at Folsom Lake College enables students to develop skills in laser cutting, water-jet cutting, 3D printing, 3D scanning, and much more. Courtesy: Inductive Automation
Workforce Development September 26, 2019

Connect with community colleges for a stronger workforce

Collaborative programs benefit employers, colleges, and students.

By Jim Meyers
Debangsu Bhattacharyya received a $2.5-million U.S. Department of Energy grant to develop an online monitoring tool, using AI, for boiler systems at coal-fired and natural gas power plants. Courtesy: Paige Nesbit, West Virginia University
AI and Machine Learning September 25, 2019

Prolonging power plant life through artificial intelligence

A West Virginia University chemical engineer is tapping into artificial intelligence (AI) to prolong the lives of power plant boilers.

By Jake Stump
Courtesy: CFE Media
AI and Machine Learning September 21, 2019

Algorithms developed to improve collaborative behavior in robots

Northwestern Engineering researchers have developed two new algorithms that can infer the topology of a network by observing the behavior of the individual nodes (such as neurons) in real time, which could help improve swarm robotics, which use collaborative manipulation to work together.

By Emily Ayshford
Courtesy: CFE Media
Sensors, Vision September 21, 2019

Using augmented reality for increased visibility

Complex augmented reality (AR) could soon find everyday use on assembly lines, in operating rooms and in the classroom as technology advances.

Courtesy: CFE Media
PID, APC September 18, 2019

Five advanced process control, data analytics connections

Are there connections between advanced process control (APC) and data analytics? Recent developments in the field of information technology (IT) and its use in the manufacturing world provide insights.

By Jim Ford, Ph.D.
Courtesy: thyssenkrupp Materials Services GmbH
IIoT, Industrie 4.0 September 13, 2019

Company creates material service spinoff for IIoT, Industry 4.0

thyssenkrupp Materials IoT GmbH (tkMIoT) has been created to connect machinery and digitalize processes for other companies.

By thyssenkrupp Materials Services
AI and Machine Learning September 8, 2019

Four steps to succeed with the artificial intelligence of things

The artificial intelligence of things (AIoT) is creating great value for manufacturers and other companies by combining the internet and AI.

By Jane Howell
Automation September 7, 2019

Digital twins, engineering future of automation

Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.

By Stone Shi
Figure 1: Intuitive mobile HMIs allow an organization to take advantage of many positive cultural and behavioral changes related to digital transformation, in part by leveraging the same screens and information as operators use in the control room. Courtesy: Emerson
HMI, OI September 5, 2019

A mobile HMI strategy can lead to digital transformation

Leveraging a mobile human-machine interface (HMI) strategy can help an organization’s digital transformation by improving operations and a company’s overall digital intelligence.

By Danny Strinden and Mariana Dionisio