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Topic Review Peer Reviewed
Knowledge Integration in Smart Factories
Knowledge integration is well explained by the human–organization–technology (HOT) approach known from knowledge management. This approach contains the horizontal and vertical interaction and communication between employees, human-to-machine, but also machine-to-machine. Different organizational structures and processes are supported with the help of appropriate technologies and suitable data processing and integration techniques. In a Smart Factory, manufacturing systems act largely autonomously on the basis of continuously collected data. The technical design concerns the networking of machines, their connectivity and the interaction between human and machine as well as machine-to-machine. Within a Smart Factory, machines can be considered as intelligent manufacturing systems. Such manufacturing systems can autonomously adapt to events through the ability to intelligently analyze data and act as adaptive manufacturing systems that consider changes in production, the supply chain and customer requirements. Inter-connected physical devices, sensors, actuators, and controllers form the building block of the Smart Factory, which is called the Internet of Things (IoT). IoT uses different data processing solutions, such as cloud computing, fog computing, or edge computing, to fuse and process data. This is accomplished in an integrated and cross-device manner.
  • 1.5K
  • 13 Apr 2022
Topic Review
Additive Manufacturing of High Entropy Alloys
Alloying has been very common practice in materials engineering to fabricate metals of desirable properties for specific applications. Traditionally, a small amount of the desired material is added to the principal metal. However, a new alloying technique emerged in 2004 with the concept of adding several principal elements in or near equi-atomic concentrations. These are popularly known as high entropy alloys (HEAs) which can have a wide composition range.
  • 1.5K
  • 15 Mar 2022
Topic Review
Spare Parts with Additive Manufacturing of Aviation Industry
Additive manufacturing (AM) is a digital technology of layered fabrication by adding material where no cutting tool is required as in the case of a subtractive manufacturing process. AM is bridging the digital and physical world as a 3D computer-aided manufacturing (CAM) method. The usage of AM has made the supply chain of the aviation spare parts industry simpler, more effective, and efficient.
  • 1.4K
  • 12 May 2022
Topic Review
Deep Learning towards Digital Additive Manufacturing
Machine learning is a type of deep learning. First in the machine learning (ML) process is the manual extraction of relevant image characteristics. These characteristics are also used to classify the image according to its particular characteristics. Researchers focused primarily on digital additive manufacturing, one of the most significant emerging topics in Industry 4.0.
  • 1.4K
  • 19 Dec 2022
Topic Review
MXene: Recent Advances in Applications
This entry covers major breakthroughs of MXene and applications.
  • 1.4K
  • 28 Mar 2022
Topic Review
State-of-the-Art of the Wire Harness Assembly Process
The wire harness assembly process is a complicated manufacturing activity, which is becoming more complex because of the evolving nature of mechatronic and electronic products that require more connectors, sensors, controllers, communication networking, etc.
  • 1.4K
  • 21 Jun 2022
Topic Review
Technologies for Soft Robotics Grippers
Robotics grippers are one of the most important components in the industry because of their capability to manipulate objects. They not only realize transportation tasks but also perform quality control to optimize robotic work cells. Thanks to the advance in soft material and soft actuators, soft grippers have gained relief in the field of soft robotics in the last years. Soft grippers have considerable flexibility that allows them to grasp a variety of objects, in contrast to hard grippers, which are designed for a specific item. Using the principles of soft robotics, gripping tools with a greater robustness can be developed. This implies that they do not require changes in their programming or construction to manipulate different objects, and the precision needed to make the grips is reduced.
  • 1.4K
  • 21 May 2021
Topic Review Peer Reviewed
Machine Learning for Additive Manufacturing
Additive manufacturing (AM) is the name given to a family of manufacturing processes where materials are joined to make parts from 3D modelling data, generally in a layer-upon-layer manner. AM is rapidly increasing in industrial adoption for the manufacture of end-use parts, which is therefore pushing for the maturation of design, process, and production techniques. Machine learning (ML) is a branch of artificial intelligence concerned with training programs to self-improve and has applications in a wide range of areas, such as computer vision, prediction, and information retrieval. Many of the problems facing AM can be categorised into one or more of these application areas. Studies have shown ML techniques to be effective in improving AM design, process, and production but there are limited industrial case studies to support further development of these techniques.
  • 1.4K
  • 13 Apr 2022
Topic Review
Classification of Architected Materials for Additive Manufacturing
One of the main advantages of Additive Manufacturing (AM) is the ability to produce topologically optimized parts with high geometric complexity. In this context, a plethora of architected materials was investigated and utilized in order to optimize the 3D design of existing parts, reducing their mass, topology-controlling their mechanical response, and adding remarkable physical properties, such as high porosity and high surface area to volume ratio.
  • 1.4K
  • 07 Sep 2022
Topic Review
Design and Operation Mode of Zigzag Air Classifier
The zigzag (ZZ) classifier is a sorting and classification device with a wide range of applications (e.g. recycling, food industry). Due to the possible variation of geometry and process settings, the apparatus is used for various windows of operation due to the specifications of the separation (e.g. cut sizes from 100 µm to several decimetres, compact and fluffy materials as well as foils).
  • 1.4K
  • 27 Apr 2022
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