A Geometric Design Model for the Circolimaçon Positive Displacement Machine

2008 ◽  
Vol 130 (6) ◽  
Author(s):  
Ibrahim A. Sultan

A circolimaçon positive displacement machine is driven by a limaçon mechanism, but the profiles of its rotor and housing are circular arcs. As such, its design models are different from those of the limaçon-to-limaçon machines, whose profiles are cut to the limaçon equations. For the benefit of the reader, the paper starts with a brief background on the general geometric aspects of the limaçon fluid processing technology. However, the focus is then turned to the circolimaçon machine, where its design parameters are introduced and geometric models are proposed to assist with the design process. Also, a computational inverse design model has been employed to work out a set of congruent geometric parameters to meet certain design requirements. Case studies are presented at the end of the paper to give the reader a numerical perspective on the design process of this class of positive displacement machines.

Author(s):  
Xiaohong Chen ◽  
Qing Yu

This paper presents the research in support of the development of design requirements for floating offshore wind turbines (FOWTs). An overview of technical challenges in the design of FOWTs is discussed, followed by a summary of the case studies using representative FOWT concepts. Three design concepts, including a Spar-type, a TLP-type and a Semisubmersible-type floating support structure carrying a 5-MW offshore wind turbine, are selected for the case studies. Both operational and extreme storm conditions on the US Outer Continental Shelf (OCS) are considered. A state-of-the-art simulation technique is employed to perform fully coupled aero-hydro-servo-elastic analysis using the integrated FOWT model. This technique can take into account dynamic interactions among the turbine Rotor-Nacelle Assembly (RNA), turbine control system, floating support structure and stationkeeping system. The relative importance of various design parameters and their impact on the development of design criteria are evaluated through parametric analyses. The paper also introduces the design requirements put forward in the recently published ABS Guide for Building and Classing Floating Offshore Wind Turbine Installations (ABS, 2013).


Author(s):  
Phan Hoang Cuong

This paper researches a design process of a heatsink in the power module box of the 3D Radar system. Studying the theory of heat transfer across parallel plate-fins of the heatsink to optimize the geometric parameters. The power module boxes are designed based on those optimum geometric parameters. In the next step, the design model is used to simulate temperature under working conditions by using Solidworks simulation software. The design model is then trial manufactured for testing before moving to the mass production.


Author(s):  
Li Zhu ◽  
Barbara R. Barricelli ◽  
Claudia Iacob

As collaboration in creating software systems becomes more complex and frequent among multidisciplinary teams, finding new strategies to support this collaboration becomes crucial. The challenge is to bridge the communication gaps among stakeholders with diverse cultural and professional backgrounds. Moreover, future uses and issues cannot be completely anticipated at design time, and it is necessary to develop open-ended software environments that can be evolved and tailored in opportunistic ways to tackle co-evolution of users and systems. A conceptual meta-design model, the Hive-Mind Space (HMS) model, has been proposed to support multidisciplinary design teams’ collaboration and foster their situated innovation. The model provides localized habitable environments for diverse stakeholders and tools for them to tailor the system, allowing the co-evolution of systems and practices. The authors explore the possibility of utilizing boundary objects within the HMS model to facilitate the communication amongst stakeholders as well as their participation in the creative distributed design process. Two concrete case studies, a factory automation and the Valchiavenna Portal, demonstrate the implementation of the HMS model and provide a possible solution to overcome the complex, evolving and emerging nature of the collaborative design.


Author(s):  
Ahmad Barari

Although allocation of design tolerances for parts and components is typically based on the prediction of geometric and dimensional deviations resulting by the inherent errors of production, this process cannot be conducted unconstrained. Concurrent to studying the manufacturing and assembly uncertainties in tolerance allocation, it is highly important to evaluate the total combination of the allocated tolerances and the deformations due to various loading on the final product. This ensures that parts and components in their working condition meet their essential requirements for functionality, form and fit. This process is optimized only if the minimum geometric zone that covers the evaluated deformations is studied properly. In addition, the minimum deformation zones for various types of loading in an assembly of parts and components need to be studied and the tolerances should be selected after considering the requirements for all possible events. Using this concept, a unified methodology is developed to find the optimum tolerances for the geometric parameters of mechanical structures which are under various loading condition. Validity of the developed procedure is studied by conducting case studies and variety of experiments. The developed methodology can be employed efficiently during detailed design process of mechanical parts and assemblies.


Author(s):  
Hyeong-Uk Park ◽  
Kamran Behdinan ◽  
Jae-Woo Lee ◽  
Joon Chung

A sensitivity analysis and an expert system have been applied to find the important design parameters for designing derivative aircraft subject to new design requirements. Additionally, the Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods are used to consider uncertainties on low fidelity analysis tools. This design process can used to reduce the time and cost for derivative design of engineering product by reducing the number of design variables. In this study, the process is applied to a conceptual design of light business jet aircraft.


2021 ◽  
Vol 1 ◽  
pp. 141-150
Author(s):  
Honorine Harlé ◽  
Pascal Le Masson ◽  
Benoit Weil

AbstractIn industry, there is at once a strong need for innovation and a need to preserve the existing system of production. Thus, although the literature insists on the necessity of the current change toward Industry 4.0, how to implement it remains problematic because the preservation of the factory is at stake. Moreover, the question of the evolution of the system depends on its innovative capability, but it is difficult to understand how a new rule can be designed and implemented in a factory. This tension between preservation and innovation is often explained in the literature as a process of creative destruction. Looking at the problem from another perspective, this article models the factory as a site of creative heritage, enabling creation within tradition, i.e., creating new rules while preserving the system of rules. Two case studies are presented to illustrate the model. The paper shows that design in the factory relies on the ability to validate solutions. To do so, the design process can explore and give new meaning to the existing rules. The role of innovation management is to choose the degree of revision of the rules and to make it possible.


2021 ◽  
pp. 155541202110053
Author(s):  
Eduardo H Luersen ◽  
Mathias Fuchs

In this article, we describe three layers of ruins related to computer game technology: in a surface layer, we examine the imagery of ruins in digital games, highlighting game design tools for developing in-game ruination. Secondly, we approach the industrial design model of technological obsolescence as an infrastructural layer that intrinsically demands the production of new provisional spaces for material decay. Lastly, through a waste layer, we unfold the geopolitical dimension of technological obsolescence, calling attention to the transcontinental flows of electronic waste, which also underscores a geological stage of ruination. While exploring these different layers of ruins, we wish to perceive how game design models might relate to different forms of contemporary ruination, inquiring what such material traces have to say as strata of the complex deterioration processes of present-day media.


Nanophotonics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 385-392
Author(s):  
Joeri Lenaerts ◽  
Hannah Pinson ◽  
Vincent Ginis

AbstractMachine learning offers the potential to revolutionize the inverse design of complex nanophotonic components. Here, we propose a novel variant of this formalism specifically suited for the design of resonant nanophotonic components. Typically, the first step of an inverse design process based on machine learning is training a neural network to approximate the non-linear mapping from a set of input parameters to a given optical system’s features. The second step starts from the desired features, e.g. a transmission spectrum, and propagates back through the trained network to find the optimal input parameters. For resonant systems, this second step corresponds to a gradient descent in a highly oscillatory loss landscape. As a result, the algorithm often converges into a local minimum. We significantly improve this method’s efficiency by adding the Fourier transform of the desired spectrum to the optimization procedure. We demonstrate our method by retrieving the optimal design parameters for desired transmission and reflection spectra of Fabry–Pérot resonators and Bragg reflectors, two canonical optical components whose functionality is based on wave interference. Our results can be extended to the optimization of more complex nanophotonic components interacting with structured incident fields.


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