A significant limitation for the use of additive manufacturing (AM) processes in an industrial context is the uncertainty about possible manufacturing conditions, costs and resulting part properties related to the use...
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A significant limitation for the use of additive manufacturing (AM) processes in an industrial context is the uncertainty about possible manufacturing conditions, costs and resulting part properties related to the used machines and materials. Since a large range of processes, machines, and materials are available on the market, the choice of optimal configuration for a user-specific part is often challenging. To simplify the development and design processes and to support the respective user in production planning, an architecture is presented, which allows an estimation of manufacturing conditions of AM technologies. The system consists of a database, which contains data about available machines, materials and additional information for quality assurance. For this purpose, defined parameters of machines registered in the network are directly retrieved from the machinecontrol via OPC-UA communication standard. Subsequently, in a logic layer, the gathered information is matched with the requested part geometry and with additional customer requirements. As a result, the user can assess the influences of his decisions regarding design, material and machine selection at an early phase of the product development process, which ensures the basic feasibility and the planned production as well as the estimation of quality and costs.
Industry 4.0 (I4.0) offers the opportunity to gain a detailed insight into the current production process by means of an increased networking of production plants. This crosslinking makes it possible to record the ent...
A comparison of two methods for the 3D shape reconstruction of a new kind of fiber-optic sensor using Fiber Bragg Gratings (FBG) is presented. The sensors, developed at the Fraunhofer Heinrich-Hertz-institute, consist...
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Due to digitalization, virtualization and Industry 4.0, the structure of the manufacturing industry is changing. One result of this development is cloud manufacturing, a new manufacturing paradigm. The number of new l...
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Due to digitalization, virtualization and Industry 4.0, the structure of the manufacturing industry is changing. One result of this development is cloud manufacturing, a new manufacturing paradigm. The number of new literatures related to this topic is increasing tremendously. Therefore, cloud manufacturing degenerates into a collective term, with a wide variety of definitions and research areas emerging. On the one hand, this paper deals with an automated statistical evaluation of the literature on cloud manufacturing. On the other hand, the main research areas of cloud manufacturing are identified by a statistical evaluation of the literature keywords from three selected databases. By means of natural language processing and machine learning methods, the keywords are automatically evaluated and grouped into clusters to obtain the main research areas.
Within the context of Industry 4.0, future production systems are expected to support mass customization up to lot size one. In order to realize the individual production processes, a changeable and consistent integra...
Within the context of Industry 4.0, future production systems are expected to support mass customization up to lot size one. In order to realize the individual production processes, a changeable and consistent integration of assets from different manufacturers is required. Therefore, the concept of I4.0 components was developed. Every I4.0 component provides a so-called asset administration shell, i.e. a standardized virtual representation of its capabilities. This paper focuses on real-time I4.0 components that require a deterministic communication with bounded low-latency in-between. In contrast to non-real-time I4.0 components, Ethernet (IEEE 802.3) is enhanced by the new real-time communication technology Time-Sensitive Networking (TSN, IEEE 802.1). The basic configuration of TSN connections within the asset administration shell was already addressed by previous work. In this work, we present the configuration of application layer protocols using the example of OPC UA Publish/Subscribe (PubSub). More precisely, we outline the underlying concept and define additional submodels for the asset administration shell of real-time I4.0 components. Finally, we discuss the advantages of the presented approach in terms of changeability.
This research paper depicts a modularization concept using a generic and parametrized model with purpose of development of impedance controllers for haptic interfaces designed with different topologies. Therefore, par...
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The selective disposal of the solid waste represents one of the modern problems of the middle and low income cities around the globe, a problem that generates environmental hazards if it is not properly managed. Since...
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In process industries, compressor plants provide process mediums with certain flows and pressures. Due to corrosion, wear and fouling, the plant behavior may change throughout the entire life cycle of several decades....
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In process industries, compressor plants provide process mediums with certain flows and pressures. Due to corrosion, wear and fouling, the plant behavior may change throughout the entire life cycle of several decades. This paper presents a new model-based method for condition monitoring and diagnosis of turbo compressors, in which the characteristic operating behavior is mainly influenced by fouling. The real-time capable method is implemented on a plant control unit and validated by Hardware-in-the-Loop simulation. Furthermore, the diagnostic result is used to automatically adapt the controller behavior. The presented approach increases the original system’s resource efficiency without reducing its robustness.
Additive manufacturing is an emerging technology that enables new product design. However, major inhibitors are long building times and a fixed build direction of the workpieces. In this article, new optimization and ...
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Additive manufacturing is an emerging technology that enables new product design. However, major inhibitors are long building times and a fixed build direction of the workpieces. In this article, new optimization and path planning methods for multi-axis additive manufacturing are presented going beyond conventional three-axis systems. This includes an adaptation of the building direction and an algorithm for the special case of cylindrical axes. These methods can reduce the production time drastically by avoiding support structures and by using the integration of predefined building blocks to substitute the infill. We present both, the new manufacturing process and the necessary computation methods for optimal process and path planning. Decreasing the building time and the amount of support structures paves the way for new application domains of additive manufacturing in the future.
This paper presents an approach for persistent data backends for OPC UA namespaces. OPC UA as M2M protocol is used in various manufacturingmachines and provides data access to e.g. sensors and setpoints. The central ...
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This paper presents an approach for persistent data backends for OPC UA namespaces. OPC UA as M2M protocol is used in various manufacturingmachines and provides data access to e.g. sensors and setpoints. The central and persistent data storage for e.g. data-mining and condition-monitoring services in information technology infrastructures is challenging. Therefore, a holistic approach for storing OPC UA information in lightweight directory access protocol server is presented including a model for storing namespaces, information models and values in LDAP trees of scalable enterprise infrastructures to fulfil manufacturing and IT requirements in the context of Industry 4.0.
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