Investigating Predictive Metamodeling for Additive Manufacturing

2016 ◽  
Author(s):  
Zhuo Yang ◽  
Douglas Eddy ◽  
Sundar Krishnamurty ◽  
Ian Grosse ◽  
Peter Denno ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Welding Process ◽  
Disruptive Technology ◽  
Mathematical Framework ◽  
Future Directions ◽  
Process Plans ◽  
Complex Relationships ◽  
Physical Phenomena ◽  
Potential Use

Additive manufacturing (AM) is a new and disruptive technology that comes with a set of unique challenges. One of them is the lack of understanding of the complex relationships between the numerous physical phenomena occurring in these processes. Metamodels can be used to provide a simplified mathematical framework for capturing the behavior of such complex systems. At the same time, they offer a reusable and composable paradigm to study, analyze, diagnose, forecast, and design AM parts and process plans. Training a metamodel requires a large number of experiments and even more so in AM due to the various process parameters involved. To address this challenge, this work analyzes and prescribes metamodeling techniques to select optimal sample points, construct and update metamodels, and test them for specific and isolated physical phenomena. A simplified case study of two different laser welding process experiments is presented to illustrate the potential use of these concepts. We conclude with a discussion on potential future directions, such as data and model integration while also accounting for sources of uncertainty.

Aspects of the Relationships between the Community of Sheikh Abd al-Qurna and Ancient Egyptian Monuments

2020 ◽  
pp. 507-522
Author(s):  
Andrew Bednarski ◽  
Gemma Tully
Keyword(s):  
Social Action ◽  
Single Case ◽  
Local Population ◽  
Social Awareness ◽  
Single Case Study ◽  
Local Populations ◽  
Ancient Egyptian ◽  
Complex Relationships

Epigraphers and archaeologists working in Egypt must navigate a host of complex relationships both on and off site. This chapter explores the multifaceted nature of local Egyptian peoples’ relationships with nearby monuments through the lens of a single case study: the site of Sheikh Abd al-Qurna and its local population, the Qurnawi. Egyptologists have not traditionally sought to incorporate formally the stories and histories of local populations in their studies of pharaonic sites. An increasing blend of social awareness and the desire for social action on the part of both foreign professionals and local activists, however, is pushing Egyptologists to re-evaluate their practices, which, in turn, is moving the discipline in new and positive directions.

scholarly journals Geometry and Distortion Prediction of Multiple Layers for Wire Arc Additive Manufacturing with Artificial Neural Networks

2021 ◽  
Vol 11 (10) ◽  
pp. 4694
Author(s):  
Christian Wacker ◽  
Markus Köhler ◽  
Martin David ◽  
Franziska Aschersleben ◽  
Felix Gabriel ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Welding Process ◽  
High Energy ◽  
Welding Distortion ◽  
Direct Energy Deposition ◽  
Direct Energy ◽  
Industrial Use ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Wire Arc Additive Manufacturing

Wire arc additive manufacturing (WAAM) is a direct energy deposition (DED) process with high deposition rates, but deformation and distortion can occur due to the high energy input and resulting strains. Despite great efforts, the prediction of distortion and resulting geometry in additive manufacturing processes using WAAM remains challenging. In this work, an artificial neural network (ANN) is established to predict welding distortion and geometric accuracy for multilayer WAAM structures. For demonstration purposes, the ANN creation process is presented on a smaller scale for multilayer beads on plate welds on a thin substrate sheet. Multiple concepts for the creation of ANNs and the handling of outliers are developed, implemented, and compared. Good results have been achieved by applying an enhanced ANN using deformation and geometry from the previously deposited layer. With further adaptions to this method, a prediction of additive welded structures, geometries, and shapes in defined segments is conceivable, which would enable a multitude of applications for ANNs in the WAAM-Process, especially for applications closer to industrial use cases. It would be feasible to use them as preparatory measures for multi-segmented structures as well as an application during the welding process to continuously adapt parameters for a higher resulting component quality.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

3D Printing of Biphasic Inks: Beyond Single-Scale Architectural Control

2021 ◽  
Author(s):  
Gianluca Cidonio ◽  
Marco Costantini ◽  
Filippo Pierini ◽  
Chiara Scognamiglio ◽  
Tarun Agarwal ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Disruptive Technology ◽  
Main Research ◽  
Single Scale

To date, Additive Manufacturing (AM) has come to the fore as a major disruptive technology embodying two main research lines - developing increasingly sophisticated printing technologies and new processable materials....

scholarly journals Meningioma: A Review of Epidemiology, Pathology, Diagnosis, Treatment, and Future Directions

Biomedicines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 319
Author(s):  
Christian Ogasawara ◽  
Brandon D. Philbrick ◽  
D. Cory Adamson
Keyword(s):  
Central Nervous System ◽  
Current Treatment ◽  
Intracranial Tumor ◽  
Benign Tumors ◽  
Molecular Characteristics ◽  
Total Resection ◽  
Future Directions ◽  
Prediction Of Prognosis ◽  
Potential Use ◽  
Radiotherapy Treatment

Meningiomas are the most common intracranial tumor, making up more than a third of all primary central nervous system (CNS) tumors. They are mostly benign tumors that can be observed or preferentially treated with gross total resection that provides good outcomes. Meningiomas with complicated histology or in compromising locations has proved to be a challenge in treating and predicting prognostic outcomes. Advances in genomics and molecular characteristics of meningiomas have uncovered potential use for more accurate grading and prediction of prognosis and recurrence. With the study and detection of genomic aberrancies, specific biologic targets are now being trialed for possible management of meningiomas that are not responsive to standard surgery and radiotherapy treatment. This review summarizes current epidemiology, etiology, molecular characteristics, diagnosis, treatments, and current treatment trials.

scholarly journals A Dieldrin Case Study: Another Evidence of an Obsolete Substance in the European Soil Environment

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 314
Author(s):  
Petros Tsiantas ◽  
Evangelia N. Tzanetou ◽  
Helen Karasali ◽  
Konstantinos M. Kasiotis
Keyword(s):  
Active Substance ◽  
Anthropogenic Activities ◽  
Carcinogenic Risk ◽  
The European Union ◽  
Soil Environment ◽  
Single Application ◽  
Environmental Concentration ◽  
Tandem Mass Spectrometric ◽  
Potential Use

Soil constitutes a central environmental compartment that, due to natural and anthropogenic activities, is a recipient of several contaminants. Among them, organochlorine pesticides are of major concern, even though they have been banned decades ago in the European Union, due to their persistence and the health effects they can elicit. In the presented work, a gas chromatographic tandem mass spectrometric (GC-MS/MS) developed method was applied to soil samples after the suspected and potential use of formulations containing organochlorine active substance. One soil sample was positive to dieldrin at 0.018 mg kg−1. Predicted environmental concentration in soil (PECsoil) considering a single application of this active substance potentially attributed the finding in its past use. The subsequent health risk assessment showed negligible non-carcinogenic risk and tolerable carcinogenic risk. The latter signifies that repetitive and prolonged sampling can unveil the pragmatic projection of persistent chemicals’ residues in the soil.

scholarly journals An Optimization Workflow in Design for Additive Manufacturing

2021 ◽  
Vol 11 (6) ◽  
pp. 2572
Author(s):  
Stefano Rosso ◽  
Federico Uriati ◽  
Luca Grigolato ◽  
Roberto Meneghello ◽  
Gianmaria Concheri ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Structural Optimization ◽  
Geometric Model ◽  
Complex Geometries ◽  
Design Phase ◽  
Design For Additive Manufacturing ◽  
Engineering Software ◽  
Embodiment Design ◽  
Pros And Cons

Additive Manufacturing (AM) brought a revolution in parts design and production. It enables the possibility to obtain objects with complex geometries and to exploit structural optimization algorithms. Nevertheless, AM is far from being a mature technology and advances are still needed from different perspectives. Among these, the literature highlights the need of improving the frameworks that describe the design process and taking full advantage of the possibilities offered by AM. This work aims to propose a workflow for AM guiding the designer during the embodiment design phase, from the engineering requirements to the production of the final part. The main aspects are the optimization of the dimensions and the topology of the parts, to take into consideration functional and manufacturing requirements, and to validate the geometric model by computer-aided engineering software. Moreover, a case study dealing with the redesign of a piston rod is presented, in which the proposed workflow is adopted. Results show the effectiveness of the workflow when applied to cases in which structural optimization could bring an advantage in the design of a part and the pros and cons of the choices made during the design phases were highlighted.

On Integration of Additive Manufacturing During the Design and Development of a Rehabilitation Robot: A Case Study

2015 ◽  
Vol 137 (11) ◽  
Author(s):  
Kaci E. Madden ◽  
Ashish D. Deshpande
Keyword(s):  
Additive Manufacturing ◽  
Neurological Disorders ◽  
Development Process ◽  
Mechanical Design ◽  
Rehabilitation Robotics ◽  
Critical Design ◽  
Rehabilitation Robots ◽  
Time Optimization ◽  
Hand Exoskeleton

The field of rehabilitation robotics has emerged to address the growing desire to improve therapy modalities after neurological disorders, such as a stroke. For rehabilitation robots to be successful as clinical devices, a number of mechanical design challenges must be addressed, including ergonomic interactions, weight and size minimization, and cost–time optimization. We present additive manufacturing (AM) as a compelling solution to these challenges by demonstrating how the integration of AM into the development process of a hand exoskeleton leads to critical design improvements and substantially reduces prototyping cost and time.

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