scholarly journals A Through-Process Experimental Approach to Enable Optimization of Cold Sprayed Al 7075 Consolidation Performance

JOM ◽  
2021 ◽  
Author(s):  
Kyle Tsaknopoulos ◽  
Bryer Sousa ◽  
Christopher Massar ◽  
Jack Grubbs ◽  
Mathew Siopis ◽  
...  
Keyword(s):  
Computational Models ◽  
Systematic Approach ◽  
Experimental Approach ◽  
Processing Parameters ◽  
Feedstock Powder ◽  
Characterization Methods ◽  
Industry Standard ◽  
Al 7075 ◽  
Powder Properties ◽  
The Relationship

AbstractThis work employs an example of a through process experiment systematic approach to study the relationship among powder properties, cold spray (CS) processing parameters, and consolidated specimen behavior through a combined effort of characterization methods and computational models. This process will allow for the systematic isolation of variables that can affect powder and CS deposit properties. In this study, Al 7075 powder was used as feedstock to produce a CS coating using industry-standard processing parameters. Techniques such as SEM, EDS, XRD, nanoindentation, and tensile testing were used to characterize the properties of both the feedstock powder and CS deposits. In addition, computational thermodynamic modeling was used to guide the interpretation of microstructural features of the powder and CS specimen. Finally, an additive yield strength model was employed to quantify the strengthening components introduced through the CS process.

scholarly journals The Effect of State Gratitude on Cognitive Flexibility: A Within-Subject Experimental Approach

2020 ◽  
Vol 10 (7) ◽  
pp. 413
Author(s):  
Andree Hartanto ◽  
Nadia C. H. Ong ◽  
Wee Qin Ng ◽  
Nadyanna M. Majeed
Keyword(s):  
Pilot Study ◽  
Cognitive Functioning ◽  
Cognitive Flexibility ◽  
Positive Emotion ◽  
Positive Emotions ◽  
Experimental Approach ◽  
Main Study ◽  
Considerable Research ◽  
Potential Benefits ◽  
The Relationship

Considerable research has examined the relationship between positive emotion and cognitive flexibility. Less is known, however, about the causal relationship between discrete positive emotions, specifically gratitude, and cognitive flexibility. Given that different positive emotions may dissimilarly affect cognitive functioning, we sought to examine the effect of state gratitude on cognitive flexibility. A pilot study with ninety-five participants was employed to ensure the effectiveness of our gratitude manipulation. One hundred and thirteen participants were recruited for the main study, which utilized a within-subject experimental approach. After the manipulation, participants completed a well-established task-switching paradigm, which was used to measure cognitive flexibility. Contrary to our hypotheses, we did not find any evidence that state gratitude may enhance cognitive flexibility. The current study identified some boundary conditions around the potential benefits of the experience of gratitude.

Improving correlation accuracy of crashworthiness applications by combining the CORA and MADM methods

2021 ◽  
pp. 095440702110696
Author(s):  
Christophe Bastien ◽  
Alexander Diederich ◽  
Jesper Christensen ◽  
Shahab Ghaleb
Keyword(s):  
Numerical Models ◽  
Monotonic Functions ◽  
Virtual Test ◽  
Industry Standard ◽  
Discrepancy Method ◽  
Original Equipment Manufacturers ◽  
The Relationship ◽  
Correlation Accuracy ◽  
New Framework ◽  
Selection Of

With the increasing use of Computer Aided Engineering, it has become vital to be able to evaluate the accuracy of numerical models. This research poses the problem of selection of the most accurate and relevant correlation solution to a set of corridor variations. Specific methods such as CORA, widely accepted in industry, are developed to objectively evaluate the correlation between monotonic functions, while the Minimum Area Discrepancy Method, or MADM, is the only method to address the correlation of non-injective mathematical variations, usually related to force/acceleration versus displacement problems. Often, it is not possible to differentiate objectively various solutions proposed by CORA, which this paper proposes to answer. This research is original, as it proposes a new innovative correlation optimisation framework, which can select the best CORA solution by including MADM as a subsequent process. The paper and the methods are rigorous, having used an industry standard driver airbag computer model, built virtual test corridors and compared the relationship between different CORA and MADM ratings from 100 Latin Hypercube samples. For the same CORA value of ‘1’ (perfect correlation), MADM was capable to objectively differentiate between 13 of them and provide the best correlation possible. The paper has recommended the MADM settings n = 1; m = 2 or n = 3; m = 2 for a congruent relationship with CORA. As MADM is performed subsequently, this new framework can be implemented in already existing industrial processes and provide automotive manufacturers and Original Equipment Manufacturers (OEM) with a new tool to generate more accurate computer models.

Design Model and Prediction Model on Preparation of Functionally Graded Material by Co-Sedimentation

2005 ◽  
Vol 492-493 ◽  
pp. 471-476 ◽  
Author(s):  
Zhi Guang Zhou ◽  
Lian Meng Zhang ◽  
Qiang Shen ◽  
Dao Ren Gong
Keyword(s):  
Prediction Model ◽  
Volume Fraction ◽  
Functionally Graded ◽  
Design Model ◽  
Design Experiment ◽  
Mathematical Relationship ◽  
Graded Material ◽  
Powder Properties ◽  
Set Up ◽  
The Relationship

From the process of sedimentation the mathematical relationship between deposition volume and powder properties as well as sedimentation parameters was deduced in this paper. The relationship was expressed by using indirect method. Based on the formula, design model and prediction model were set up. The models can be used to design powder properties and predict the volume fraction of FGM. Programs to solve the models were developed in numerical methods. As examples, TiC-Ni system FGM were designed and predicted. The prediction results fit well with the design. Experiment of Mo-Ti system FGM was used to validate the prediction model.

Growth Mechanism vs Matter Transport in Thermally Growing Oxides on High Temperature Materials: A Brief Survey Based on the Case Study of Alumina Formers

2009 ◽  
Vol 289-292 ◽  
pp. 385-395 ◽  
Author(s):  
Jerzy Jedlinski
Keyword(s):  
Growth Mechanism ◽  
Experimental Approach ◽  
Experimental Results ◽  
Metallic Materials ◽  
High Temperature Materials ◽  
Matter Transport ◽  
Alumina Formers ◽  
Microstructure Morphology ◽  
The Relationship

This paper reviews briefly the relationship between the growth mechanism and matter transport using as an example the best currently applied metallic materials being alumina formers. The attention is paid to the experimental approach as well as to the interpretation procedure of experimental results. The scale structure, microstructure, morphology and phase composition are indicated as factors strongly affecting its growth mechanism. The attempt is made to elucidate the possible relationships between the obtained experimental results and actual scale growth mechanisms operating during oxidation exposures.

scholarly journals MeSHHeading2vec: A new method for representing MeSH headings as feature vectors based on graph embedding algorithm

2019 ◽  
Author(s):  
Zhen-Hao Guo ◽  
Zhu-Hong You ◽  
Hai-Cheng Yi ◽  
Kai Zheng ◽  
Yan-Bin Wang
Keyword(s):  
Computational Models ◽  
Prediction Models ◽  
Graph Embedding ◽  
Computational Prediction ◽  
Additional Information ◽  
Great Hope ◽  
Node Classification ◽  
Relationship Network ◽  
The Relationship ◽  
Mesh Tree

AbstractMotivationEffectively representing the MeSH headings (terms) such as disease and drug as discriminative vectors could greatly improve the performance of downstream computational prediction models. However, these terms are often abstract and difficult to quantify.ResultsIn this paper, we converted the MeSH tree structure into a relationship network and applied several graph embedding algorithms on it to represent these terms. Specifically, the relationship network consisting of nodes (MeSH headings) and edges (relationships) which can be constructed by the rule of tree num. Then, five graph embedding algorithms including DeepWalk (DW), LINE, SDNE, LAP and HOPE were implemented on the relationship network to represent MeSH headings as vectors. In order to evaluate the performance of the proposed method, we carried out the node classification and relationship prediction tasks. The experimental results show that the MeSH headings characterized by graph embedding algorithms can not only be treated as an independent carrier for representation, but also can be utilized as additional information to enhance the distinguishable ability of vectors. Thus, it can act as input and continue to play a significant role in any disease-, drug-, microbe- and etc.-related computational models. Besides, our method holds great hope to inspire relevant researchers to study the representation of terms in this network [email protected]

scholarly journals Weaving the Common Threads of Simulation and Formation studies in Archaeology

2017 ◽  
Author(s):  
Benjamin Davies
Keyword(s):  
Computer Simulation ◽  
Human Activity ◽  
Computational Models ◽  
Experimental Studies ◽  
Surface Erosion ◽  
Archaeological Record ◽  
The Common ◽  
The Relationship ◽  
Material Record

Computer simulation is a tool increasingly used by archaeologists to build theories about past human activity; however, simulation has had a limited role theorising about the relationship between past behaviours and the formation of observed patterning in the material record. This paper visits the argument for using simulation as a means of addressing the gap that exists between archaeological interpretations of past behaviours and their physical residues. It is argued that simulation is used for much the same reason that archaeologists use ethnographic or experimental studies, and that computational models can help to address some of the practical limitations of these approaches to record formation. A case study from arid Australia, examining the effects of episodic surface erosion on the visibility of the record, shows how simple, generative simulations, grounded in formational logic, can be used to compare different explanatory mechanisms and suggest tests of the archaeological record itself.

Study of LSGM Slurry for Gel-Tape-Casting

2007 ◽  
Vol 280-283 ◽  
pp. 751-752 ◽  
Author(s):  
Sheng Cheng ◽  
Jiang Hong Gong ◽  
Zhong Tai Zhang ◽  
Zi Long Tang
Keyword(s):  
Tape Casting ◽  
Processing Parameters ◽  
Solid Loading ◽  
High Solid ◽  
High Solid Loading ◽  
Powder Properties

A novel process, gel-tape-casting, is employed to fabricate LSGM thin dense sheets in aqueous AM system. The influences of powder properties, dispersant and other additives were discussed and relevant processing parameters were also explored. The slurry of LSGM with a high solid loading about 33 vol.% was successfully obtained.

A Computational Perspective of Knowledge Empowerment for Healthcare Decision Making

2017 ◽  
pp. 134-155
Author(s):  
Timothy Jay Carney
Keyword(s):  
Public Health ◽  
Computational Models ◽  
Healthcare Delivery ◽  
Research Literature ◽  
Healthcare Decision ◽  
Patient Centered ◽  
Healthcare Decision Making ◽  
Computational Perspective ◽  
Centered Care ◽  
The Relationship

People in a variety of settings can be heard uttering the phrase that “knowledge is power” or the relatively equivalent concept that “information is power.” However, the research literature in particular lacks a simple and standardized way to examine the relationship between knowledge and power. There is a lack operational quantitative definitions of this relationship to adequately support the building of complex computational models used in addressing some longstanding public health and healthcare delivery issues like differential access to care, inequitable care and treatment, institutional bias, disparities in health outcomes, and eliminating barriers to patient-centered care. The objective of this discussion is to present a relational algorithm that can be used in both conceptual discussions on knowledge empowerment modeling, as well as in the building of computational models that want to explore the variable of knowledge empowerment within computer simulation experiments.

scholarly journals Mathematical Modelling and Optimization of Risk Analysis in Emergencies

2018 ◽  
Vol 7 (4.7) ◽  
pp. 209
Author(s):  
Korneev A.M ◽  
Salfetnikov M.V
Keyword(s):  
Mathematical Modeling ◽  
Decision Making ◽  
Mathematical Modelling ◽  
Systematic Approach ◽  
Natural Properties ◽  
Multi Level ◽  
Constituent Elements ◽  
State Of The Environment ◽  
The Relationship ◽  
Modelling And Optimization

In current work methods of intellectual support of acceptance of administrative decisions on risks of occurrence of extreme situations are considered. The relationship between human activity, the emergence emergencies and the state of the environment is systemic. An important role is given to the analysis of the causes of incidents and emergencies of technogenic nature. Emergencies refers to complex multi-level systems, so a systematic approach is needed to model them. When choosing models of complex systems, factors related to the natural properties of the constituent elements and subsystems, and the patterns of the functioning of the system as a whole are investigated. Various methods of mathematical modeling are used to determine the risks of emergencies. The problem of optimization of decision-making algorithms in the event of emergencies is solved.  

scholarly journals Dyslipidemia and Meibomian Gland Dysfunction: Utility of Lipidomics and Experimental Prospects with a Diet-Induced Obesity Mouse Model

2019 ◽  
Vol 20 (14) ◽  
pp. 3505 ◽  
Author(s):  
Eugene A. Osae ◽  
Philipp Steven ◽  
Rachel Redfern ◽  
Samuel Hanlon ◽  
C. Wayne Smith ◽  
...  
Keyword(s):  
Experimental Approach ◽  
Current Knowledge ◽  
Meibomian Gland ◽  
Conclusive Evidence ◽  
Blood Cholesterol ◽  
Meibomian Gland Dysfunction ◽  
Suitable Model ◽  
Diet Induced Obesity ◽  
The Relationship ◽  
Potential Tool

Meibomian gland dysfunction (MGD) is the leading cause of dry eye disease and loss of ocular surface homeostasis. Increasingly, several observational clinical studies suggest that dyslipidemia (elevated blood cholesterol, triglyceride or lipoprotein levels) can initiate the development of MGD. However, conclusive evidence is lacking, and an experimental approach using a suitable model is necessary to interrogate the relationship between dyslipidemia and MGD. This systematic review discusses current knowledge on the associations between dyslipidemia and MGD. We briefly introduce a diet-induced obesity model where mice develop dyslipidemia, which can serve as a potential tool for investigating the effects of dyslipidemia on the meibomian gland. Finally, the utility of lipidomics to examine the link between dyslipidemia and MGD is considered.

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