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This paper presents a new approach for the teaching of competence in additive manufacturing to engineering students in product development. Particularly new to this approach is the combination of the students' autonomous assembly and commissioning of a 3D-printer, and the independent development of guidelines for this new technology regarding the design of components. This way the students will be able to gain first practical experiences with the data preparation, the additive manufacturing process itself and also the required post-treatment of the 3D-printed parts. To allow the students a significantly deeper insight into the functioning of 3D-printing, the workshop Rapid Prototyping developed a new approach in the course of which the students first assemble a construction kit for a 3D-printer themselves and then commission the printer. This enables the students to gain a better understanding of the functionality and configuration of additive manufacturing. In a next step, the students used the 3D-printers they constructed themselves to produce components which they take from a database. Finally, the experiences of the students in the course of the workshop will be evaluated to review the effectiveness of the new approach.
Additive manufacturing (AM) or 3D printing (3DP) has become a widespread new technology in recent years and is now used in many areas of industry. At the same time, there is an increasing need for training courses that impart the knowledge required for product development in 3D printing. In this article, a workshop on “Rapid Prototyping” is presented, which is intended to provide students with the technical and creative knowledge for product development in the field of AM. Today, additive manufacturing is an important part of teaching for the training of future engineers. In a detailed literature review, the advantages and disadvantages of previous approaches to training students are examined and analyzed. On this basis, a new approach is developed in which the students analyze and optimize a given product in terms of additivie manufacturing. The students use two different 3D printers to complete this task. In this way, the students acquire the skills to work independently with different processes and materials. With this new approach, the students learn to adapt the design to different manufacturing processes and to observe the restrictions of different materials. The results of these courses are evaluated through feedback in a presentation and a questionnaire.
Additive manufacturing offers completely new production technologies thanks to the layered structure and the simultaneous processing of several materials. In order to exploit the potential of this new technology, it is already necessary in product development to consider the components no longer as monolithic blocks, but as a structure of many layers and individual elements (voxels). Therefore, this paper will examine the current state of voxel-based CAD systems and the subsequent 3D multi-material printing of the designed components. Different voxel-based CAD systems are used and analyzed for component design and a sample component is additively manufactured. The results show that simple components can be designed using voxel-based CAD systems. With the application of 3D multi-material printing, different materials and thus functions can be assigned to the designed voxel-based CAD-model.
We present a novel approach that utilizes BLE packets sent from generic BLE capable radios to synthesize an FSK-(like) addressable wake-up packet. A wake-up receiver system was developed from off-the-shelf components to detect these packets. It makes use of two differential signal paths separated by passive band-pass filters. After the rectification of each channel a differential amplifier compares the signals and the resulting wake-up signal is evaluated by an AS3933 wake-up receiver IC. Overall, the combination of these techniques contributes to a BLE compatible wake-up system which is more robust than traditional OOK wake-up systems. Thus, increasing wake-up range, while still maintaining a low energy budget. The proof-of-concept setup achieved a sensitivity of -47.8 dBm at a power consumption of 18.5 uW during passive listening. The system has a latency of 31.8 ms with a symbol rate of 1437 Baud.
To reach customers by dialog marketing campaigns is more and more difficult. This is a common problem of companies and marketing agencies worldwide: information overload, multi-channel-communication and a confusing variety of offers make it hard to gain the attention of the target group. The contribution of this paper is four-fold: we provide an overview of the current state of print dialog marketing activities and trends (I). Based on this corpus we identify the main key performance indicators of dialog marketing customer interaction (II). A qualitative user experience study identifies the customer wishes and needs, focusing on lottery offers for senior citizens (III). Finally, we evaluate the success of two different dialog marketing campaigns with 20,000 clients and compare the key performance indicators of the original hands-on experience-based print mailings with user experience tested and optimized mailings (IV).
Besides of conventional CAD systems, new, cloudbased CAD systems have also been available for some years. These CAD systems designed according to the principle of software as a service (SaaS) differ in some important features from the conventional CAD systems. Thus, these CAD systems are operated via a browser and it is not necessary to install the software on a computer. The CAD-data is stored in the cloud and not on a local computer or central server. This new approach should also facilitate the sharing and management of data. Finally, many of these new CAD systems are available as freeware for education purposes, so the universities can save license costs. The chances and risks of cloud-based systems will first be analyzed in this paper. Then two leading cloud-based CAD systems will be researched. During the process, the technical performance range these new systems offer for the product development will be initially checked and reviewed. For this purpose, various criteria are worked out and the CAD software is evaluated using these criteria. In addition, the criteria are weighted by their importance for design education. This allows one to conclude which capabilities the different CAD system offers for use in education.
Artificial Intelligence (AI) can potentially transform many aspects of modern society in various ways, including automation of tasks, personalization of products and services, diagnosis of diseases and their treatment, transportation, safety, and security in public spaces, etc. Recently, AI technology has been transforming the financial industry, offering new ways to analyse data and automate processes, reduce costs, increase efficiency, and provide more personalized services to customers. However, it also raised important ethical and regulatory questions that need to be addressed by the industry and society as a whole. The aim of the Erasmus+ project Transversal Skills in Applied Artificial Intelligence - TSAAI (KA220-HED - Cooperation Partnerships in higher education) has been to establish a training platform that will incorporate teaching guidelines based on a curriculum covering different areas of application of AI technology. In this work, we will focus on applying AI models in the financial and insurance sectors.
We propose a new streaming media service development environment comprising of a streaming media service model, a XML based service specification language and several implementation and configuration management tools. In our project, the described approach is used for integration of streaming based eLearning services in manufacturing processes of a subcontractor to the automotive industry. The key components of our approach are 1) an xml based streaming service specification language, 2) a set of web services for searching, registration, and creation of streaming services, 3) caching and replication policies based on timing information derived from the service specifications.
Human-robot collaboration plays a strong role in industrial production processes. The ISO/TS 15066 defines four different methods of collaboration between humans and robots. So far, there was no robotic system available that incorporates all four collaboration methods at once. Especially for the speed and separation monitoring, there was no sensor system available that can easily be attached directly to an off-the-shelf industrial robot arm and that is capable of detecting obstacles in distances from a few millimeters up to five meters. This paper presented first results of using a 3D time-of-flight camera directly on an industrial robot arm for obstacle detection in human-robot collaboration. We attached a Visionary-T camera from SICK to the flange of a KUKA LBR iiwa 7 R800. With Matlab, we evaluated the pictures and found that it works very well for detecting obstacles in a distance range starting from 0.5 m and up to 5 m.