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3D printing process selection model based on triangular intuitionistic fuzzy numbers in cloud manufacturing
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作者 Ce Shi Lin Zhang +1 位作者 Jingeng Mai Zhen Zhao 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2017年第2期167-185,共19页
The distributed and customized 3D printing can be realized by 3D printing services in a cloud manufacturing environment.As a growing number of 3D printers are becoming accessible on various 3D printing service platfor... The distributed and customized 3D printing can be realized by 3D printing services in a cloud manufacturing environment.As a growing number of 3D printers are becoming accessible on various 3D printing service platforms,there raises the concern over the validation of virtual product designs and their manufacturing procedures for novices as well as users with 3D printing experience before physical products are produced through the cloud platform.This paper presents a 3D model to help users validate their designs and requirements not only in the traditional digital 3D model properties like shape and size,but also in physical material properties and manufacturing properties when producing physical products like surface roughness,print accuracy and part cost.These properties are closely related to the process of 3D printing and materials.In order to establish the 3D model,the paper analyzes the model of the 3D printing process selection in the cloud platform.Triangular intuitionistic fuzzy numbers are applied to generate a set of 3D printers with the same process and material.Based on the 3D printing process selection model,users can establish the 3D model and validate their designs and requirements on physical material properties and manufacturing properties before printing physical products. 展开更多
关键词 3d printing process selection model triangular intuitionistic fuzzy numbers cloud manufacturing
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ClayVolume:A progressive refinement interaction system for immersive visualization
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作者 Zhenyuan Wang Qing Zhao +4 位作者 Yue Zhang Jinhui Zhang Guihua Shan Xiao Zhou Dong Tian 《Visual Informatics》 2025年第1期71-83,共13页
Immersive visualization has become an important tool for discovering hidden patterns and obtaining insights from data.Target acquisition in immersive visualization is a fundamental step in visual analysis.However,limi... Immersive visualization has become an important tool for discovering hidden patterns and obtaining insights from data.Target acquisition in immersive visualization is a fundamental step in visual analysis.However,limited visual encoding attributes and the presence of stacking and occlusion in immersive environments pose challenges in discovering valuable targets and making unambiguous selections.In this paper,we present ClayVolume,an interactive system designed for immersive visualization.It comprises metaphorical tools for customizing regions of interest(ROIs)and multiple views that serve as interactive and analytical mediums.ClayVolume empowers analysts to efficiently acquire valuable targets through a progressive refinement of interactive methods,enabling further extraction of insights.We evaluate ClayVolume in the scenario of immersive visualization of network data and perform a comparative analysis of its performance against other techniques in target selection tasks.The results indicate that ClayVolume enables flexible target selection in immersive visualization and provides fast target discovery and localization capabilities. 展开更多
关键词 Immersive visualization 3d selection Virtual reality Spatial awareness
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