scholarly journals An open source framework for many-objective robust decision making

2015 ◽  
Vol 74 ◽  
pp. 114-129 ◽  
Author(s):  
David Hadka ◽  
Jonathan Herman ◽  
Patrick Reed ◽  
Klaus Keller
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Robust Decision Making ◽  
Open Source Framework

Benefits and Pitfalls of Open Source in Commercial Contexts

2005 ◽  
pp. 222-241 ◽  
Author(s):  
Jiayin Hang ◽  
Heidi Hohensohn ◽  
Klaus Mayr ◽  
Thomas Wieland
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Lessons Learned ◽  
Commercial Product ◽  
Decision Making Process ◽  
Business Opportunity ◽  
Open Source Framework ◽  
Open Source Communities ◽  
Communication Culture

This chapter intends to show how companies can benefit from open source software and its development culture and how the open source communities could, in turn, be stimulated and accelerated. One of the first major steps for businesses that plan to act in this context is to accept that open source projects have their own communication culture. After explaining this fact, we illustrate its relevance on the basis of a case study in which an open source framework was used to build a commercial product. The decision-making process and the lessons learned from it point out some guidelines, particularly for companies that offer projects rather than products. As there are, however, more parties involved than just the developers when OSS is discussed as a business opportunity, we also classify the different players in the software business such as distributors, system integrators, and software/hardware vendors. Findings on roles and their motivations and restraints, partially based on a survey carried out within our research project, point up this categorization. The authors hope that this overview of the benefits and pitfalls will encourage more companies to make use of and invest in the open source way to develop and deploy software.

scholarly journals PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mohammadreza Yaghoobi ◽  
Krzysztof S. Stopka ◽  
Aaditya Lakshmanan ◽  
Veera Sundararaghavan ◽  
John E. Allison ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Metals And Alloys ◽  
Analysis Tool ◽  
Computational Framework ◽  
Crystal Plasticity Finite Element ◽  
Polycrystalline Metals ◽  
Simulation Based ◽  
Open Source Framework

AbstractThe PRISMS-Fatigue open-source framework for simulation-based analysis of microstructural influences on fatigue resistance for polycrystalline metals and alloys is presented here. The framework uses the crystal plasticity finite element method as its microstructure analysis tool and provides a highly efficient, scalable, flexible, and easy-to-use ICME community platform. The PRISMS-Fatigue framework is linked to different open-source software to instantiate microstructures, compute the material response, and assess fatigue indicator parameters. The performance of PRISMS-Fatigue is benchmarked against a similar framework implemented using ABAQUS. Results indicate that the multilevel parallelism scheme of PRISMS-Fatigue is more efficient and scalable than ABAQUS for large-scale fatigue simulations. The performance and flexibility of this framework is demonstrated with various examples that assess the driving force for fatigue crack formation of microstructures with different crystallographic textures, grain morphologies, and grain numbers, and under different multiaxial strain states, strain magnitudes, and boundary conditions.

scholarly journals PoreAnalyzer—An Open-Source Framework for the Analysis and Classification of Defects in Additive Manufacturing

2021 ◽  
Vol 11 (13) ◽  
pp. 6086
Author(s):  
Nils Ellendt ◽  
Fabian Fabricius ◽  
Anastasiya Toenjes
Keyword(s):  
Additive Manufacturing ◽  
Open Source ◽  
Total Porosity ◽  
Shape Accuracy ◽  
Process Maps ◽  
Defect Type ◽  
Open Source Framework ◽  
New Material ◽  
High Cooling Rates

Additive manufacturing processes offer high geometric flexibility and allow the use of new alloy concepts due to high cooling rates. For each new material, parameter studies have to be performed to find process parameters that minimize microstructural defects such as pores or cracks. In this paper, we present a system developed in Python for accelerated image analysis of optical microscopy images. Batch processing can be used to quickly analyze large image sets with respect to pore size distribution, defect type, contribution of defect type to total porosity, and shape accuracy of printed samples. The open-source software is independent of the microscope used and is freely available for use. This framework allows us to perform such an analysis on a circular area with a diameter of 5 mm within 10 s, allowing detailed process maps to be obtained for new materials within minutes after preparation.

scholarly journals COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization

2021 ◽  
pp. 107366
Author(s):  
Marco Langiu ◽  
David Yang Shu ◽  
Florian Joseph Baader ◽  
Dominik Hering ◽  
Uwe Bau ◽  
...  
Keyword(s):  
Open Source ◽  
Energy Systems ◽  
Next Generation ◽  
Open Source Framework
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