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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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Magnetohydrodynamics stagnation point flow of tangent hyperbolic fluid over a non-flat rotating disk in intuitionistic fuzzy environment
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作者 Priya Bartwal B.P.Joshi +2 位作者 Himanshu Upreti Alok Kumar Pandey Dharmendra Tripathi 《Journal of Ocean Engineering and Science》 2025年第6期1002-1018,共17页
An analysis is performed for the three-dimensional stagnation point flow of magnetized tangent hyperbolic fluid over a rotating disk of variable thickness.The viscosity and thermal conductivity of the fluid are presum... An analysis is performed for the three-dimensional stagnation point flow of magnetized tangent hyperbolic fluid over a rotating disk of variable thickness.The viscosity and thermal conductivity of the fluid are presumed to depend on the temperature.Moreover,the impact of various physical parameters i.e.,variable dynamical viscosity,variable thermal conductivity,velocity ratio,thermal stratification,Weissenberg number,Biot number and Eckert number are considered.Here we use the intuitionistic fuzzy set(IFS),which is an extension of fuzzy set,to study the flow and heat transfer analysis.IFS is a better tool for deal with uncertainty and complex modelling.The transformed ODEs are changed into intuitionistic fuzzy differential equations(IFDEs)and then solved by applying(α,β)-cut method,and the notion of triangular intuitionistic fuzzy number(TIFN).The outcomes attained from the solutions of IFDEs are depicted by figures,and results are reliable as calculated with the numerical technique“bvp4c”.The study reports that a rise of 40.68% in local Nusselt number(LNN)is seen when the velocity ratio parameter is raised from 0.1 to 0.4,whereas a rise of 5.26% is noted when the variable thermal conductivity parameter is increased from -0.5 to 0.5. 展开更多
关键词 intuitionistic fuzzy differential equations MAGNETOHYDRODYNAMICS Stagnation point flow Temperature-dependent properties Tangent hyperbolic fluid triangular intuitionistic fuzzy number
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