scholarly journals A Computer-Automated Design Tool For Intelligent Virtual Prototyping Of Offshore Cranes

Author(s):  
Robin T. Bye ◽  
Ottar L. Osen ◽  
Birger Skogeng Pedersen
2013 ◽  
Vol 4 (1) ◽  
pp. 86-96
Author(s):  
Pranav Shrestha

The design of any physical product involves prototyping. Building physical prototypes of the products can be expensive and time consuming. An alternate to physical prototyping is haptic virtual prototyping, which simulates the product using a computer and a haptic device. A haptic device is one that produces the forces similar to that of the product, giving the user a realistic feel of the product. Since the feel of a product plays a significant role in its commercial success, the importance of haptic virtual prototyping as a design tool is increasing. This paper discusses the haptic simulation of a push button on a low cost and commercially available haptic device called Novint Falcon.  Two different models were created – the first one was a simple push button, and the second was an on/off click button. The parameters of the two models were selected such that they have the most accurate tactile response or feel of the product. The two models successfully simulated the feel of the buttons, and it was found that haptic virtual prototyping of buttons is achievable using a low cost haptic interaction system.


Author(s):  
Lihong Zhang ◽  
U. Kleine ◽  
Yingtao Jiang
Keyword(s):  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Mykola Dimura ◽  
Thomas-Otavio Peulen ◽  
Hugo Sanabria ◽  
Dmitro Rodnin ◽  
Katherina Hemmen ◽  
...  

Abstract FRET experiments can provide state-specific structural information of complex dynamic biomolecular assemblies. However, to overcome the sparsity of FRET experiments, they need to be combined with computer simulations. We introduce a program suite with (i) an automated design tool for FRET experiments, which determines how many and which FRET pairs should be used to minimize the uncertainty and maximize the accuracy of an integrative structure, (ii) an efficient approach for FRET-assisted coarse-grained structural modeling, and all-atom molecular dynamics simulations-based refinement, and (iii) a quantitative quality estimate for judging the accuracy of FRET-derived structures as opposed to precision. We benchmark our tools against simulated and experimental data of proteins with multiple conformational states and demonstrate an accuracy of ~3 Å RMSDCα against X-ray structures for sets of 15 to 23 FRET pairs. Free and open-source software for the introduced workflow is available at https://github.com/Fluorescence-Tools. A web server for FRET-assisted structural modeling of proteins is available at http://nmsim.de.


Author(s):  
Cyril Picard ◽  
Jürg Schiffmann

Abstract Automated design tools are seldom used in industry. Their potential, however, is high, especially in companies mostly active in variant design, where custom tools could help cut down development time in the early stages. The design of geared electro-mechanical actuators for the automotive industry is such a case. These actuators are simple examples of coupled multi-disciplinary systems that can be hard to design, since they need to follow strict specifications in terms of performance and packaging. This paper presents an automated design and optimization tool tailored for such systems based on an integrated modeling approach, multi-objective optimization and an interactive reporting tool. The focus is set on the impact of system-level constraints on the usability by industry of the generated designs. In two case studies, the tool is able to find competitive actuator candidates that are cheaper (−3.6% and −11%) and more compact than similar existing products in less than an hour on a state-of-the-art laptop computer. More powerful options or actuators using different technologies have also been proposed. Compared to optimizations done without system-level constraints, the generated actuators are immediately usable by engineers to get accurate insights into the design problem and promote informed decision-making.


2021 ◽  
Author(s):  
Zhou Dong ◽  
Ren Ren ◽  
Fred Wang ◽  
Ruirui Chen

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