Enabler für die personalisierte Produktion*/Automated additive manufacturing processes as enabler for personalized production – A sample application for tailor-made products

2019 ◽  
Vol 109 (03) ◽  
pp. 179-183
Author(s):  
J. Fischer ◽  
P. Springer ◽  
S. Fulga-Beising ◽  
K. Abu El-Qomsan
Keyword(s):  
Data Analysis ◽  
Additive Manufacturing ◽  
Manufacturing System ◽  
Personal Data ◽  
Industrie 4.0 ◽  
Manufacturing Processes ◽  
Automated Production ◽  
Sample Application

Das Fraunhofer IPA forscht an Workflows und Methoden für die Herstellung personalisierter Produkte von der Erfassung persönlicher Daten über die Analyse und Modellierung bis hin zur flexiblen, automatisierten Fertigung der Produkte. Der Beitrag beschreibt einen beispielhaften Anwendungsfall: die Herstellung einer personalisierten Brille. Für die nötige Flexibilität in der Fertigung wurde ein vollständig automatisiertes additives Fertigungssystem entwickelt, das im Applikationszentrum Industrie 4.0 des Fraunhofer IPA und des Instituts für Industrielle Fertigung und Fabrikbetrieb IFF der Universität Stuttgart integriert ist.   Fraunhofer IPA examines workflows and methods for the production of personalized products from the acquisition of personal data, analysis and modelling to the flexible, automated production of the products. This paper exemplifies an application using the production of personalized glasses. For this purpose, a fully automated additive manufacturing system was developed to provide the necessary flexibility in manufacturing.

Robot Assisted Additive Manufacturing of Thin Multifunctional Structures

2018 ◽  
Author(s):  
Prahar M. Bhatt ◽  
Max Peralta ◽  
Hugh A. Bruck ◽  
Satyandra K. Gupta
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing System ◽  
Robotic Manipulator ◽  
Manufacturing Processes ◽  
Layer By Layer ◽  
Robot Assisted ◽  
Manufacturing Operations ◽  
Multiple Materials

Thin multifunctional structures need to be composed from many different materials. Currently, very few additive manufacturing processes are capable of working with multiple materials. Additive manufacturing processes that work with multiple different materials pose significant constraints on material options. This significantly limits the kind of multifunctional structures that can be produced using additive manufacturing. A robot assisted sheet lamination based additive manufacturing system is developed in this paper. The system utilizes a 6-DOF robotic manipulator to perform the manufacturing operations such as cutting, assembly, tape-layup, and bonding to build the part layer by layer. A flexible ornithopter wing have been built using the proposed system. We have characterized the system in terms of part performance as well as automation efficiency.

Improved Co-Scheduling of Printing Path Scanning for Collaborative Additive Manufacturing

2019 ◽  
Author(s):  
Zhengqian Jiang ◽  
Sean Psulkowski ◽  
Arriana Nwodu ◽  
Hui Wang ◽  
Tarik Dickens
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing System ◽  
Manufacturing Processes ◽  
Grand Challenge ◽  
Optimal Solutions ◽  
Improved Method ◽  
Fused Filament Fabrication ◽  
Printing Time

Abstract Additive manufacturing processes, especially those based on fused filament fabrication (FFF) mechanism, have relatively low productivity and suffer from production scalability issue. One solution is to adopt a collaborative additive manufacturing system that is equipped with multiple extruders working simultaneously to improve productivity. The collaborative additive manufacturing encounters a grand challenge in the scheduling of printing path scanning by different extruders. If not properly scheduled, the extruders may collide into each other or the structures built by earlier scheduled scanning tasks. However, there existed limited research addressing this problem, in particular, lacking the determination of the scanning direction and the scheduling for sub-path scanning. This paper deals with the challenges by developing an improved method to optimally break the existing printing paths into sub-paths and assign these generated sub-paths to different extruders to obtain the lowest possible makespan. A mathematical model is formulated to characterize the problem, and a hybrid algorithm based on an evolutionary algorithm and a heuristic approach is proposed to determine the optimal solutions. The case study has demonstrated the application of the algorithms and compared the results with the existing research. It has been found that the printing time can be reduced by as much as 41.3% based on the available hardware settings.

scholarly journals Additive Manufacturing Under Lunar Gravity and Microgravity

2021 ◽  
Vol 33 (2) ◽  
Author(s):  
B. Reitz ◽  
C. Lotz ◽  
N. Gerdes ◽  
S. Linke ◽  
E. Olsen ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Spare Parts ◽  
Manufacturing Processes ◽  
Complex Structures ◽  
Lunar Gravity ◽  
Limited Extent ◽  
Test Environment ◽  
Manufacturing Tests ◽  
Laser Experiments ◽  
Materials Used

AbstractMankind is setting to colonize space, for which the manufacturing of habitats, tools, spare parts and other infrastructure is required. Commercial manufacturing processes are already well engineered under standard conditions on Earth, which means under Earth’s gravity and atmosphere. Based on the literature review, additive manufacturing under lunar and other space gravitational conditions have only been researched to a very limited extent. Especially, additive manufacturing offers many advantages, as it can produce complex structures while saving resources. The materials used do not have to be taken along on the mission, they can even be mined and processed on-site. The Einstein-Elevator offers a unique test environment for experiments under different gravitational conditions. Laser experiments on selectively melting regolith simulant are successfully conducted under lunar gravity and microgravity. The created samples are characterized in terms of their geometry, mass and porosity. These experiments are the first additive manufacturing tests under lunar gravity worldwide.

scholarly journals An Additively Manufactured Titanium Alloy in the Focus of Metallography

2021 ◽  
Vol 58 (1) ◽  
pp. 4-31
Author(s):  
C. Fleißner-Rieger ◽  
T. Pogrielz ◽  
D. Obersteiner ◽  
T. Pfeifer ◽  
H. Clemens ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Microstructural Analysis ◽  
Microstructural Characterization ◽  
Melting Process ◽  
Manufacturing Processes ◽  
Ingot Metallurgy ◽  
Lightweight Structures ◽  
Metallographic Preparation ◽  
Fine Structures ◽  
Specific Material

Abstract Additive manufacturing processes allow the production of geometrically complex lightweight structures with specific material properties. However, by contrast with ingot metallurgy methods, the manufacture of components using this process also brings about some challenges. In the field of microstructural characterization, where mostly very fine structures are analyzed, it is thus indispensable to optimize the classic sample preparation process and to furthermore implement additional preparation steps. This work focuses on the metallography of additively manufactured Ti‑6Al‑4V components produced in a selective laser melting process. It offers a guideline for the metallographic preparation along the process chain of additive manufacturing from the metal powder characterization to the macro- and microstructural analysis of the laser melted sample. Apart from developing preparation parameters, selected etching methods were examined with regard to their practicality.

An EDM Multi-Agent Collaborative Manufacturing System Based on Petri Net

2012 ◽  
Vol 457-458 ◽  
pp. 921-926
Author(s):  
Jin Zhi Zhao ◽  
Yuan Tao Liu ◽  
Hui Ying Zhao
Keyword(s):  
Petri Net ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Agent Technology ◽  
Manufacturing Processes ◽  
Intelligent Manufacturing System ◽  
Collaborative Manufacturing ◽  
Model Based ◽  
Support Organizations ◽  
Multi Agent

A framework for building EDM collaborative manufacturing system using multi-agent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. According to the characteristics of agile EDM collaborative manufacturing system(AEDMCMS), the agent technology is combined with Petri net in order to analyze the model. Based on the basic Petri Net, the definition is extended and the Agent-oriented Petri net (APN) is proposed. AEDMCM is turned into the model of Petri Net which is suitable to the analysis and optimization of manufacturing processes.

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