scholarly journals Constraint structure optimization to a specific minimum using ionization energy

2018 ◽  
Vol 40 (2) ◽  
pp. 507-514
Author(s):  
Iori Harada ◽  
Akira Nakayama ◽  
Jun‐ya Hasegawa
Keyword(s):  
Ionization Energy ◽  
Structure Optimization ◽  
Constraint Structure

Lead structure optimization of compounds identified to induce differentiation in solid tumors

2018 ◽  
Author(s):  
K Esser ◽  
A Kulik ◽  
A Klinger ◽  
E Fleischer ◽  
H Neubauer ◽  
...  
Keyword(s):  
Solid Tumors ◽  
Structure Optimization ◽  
Lead Structure

Unfurlable Space Structure Optimization

2021 ◽  
Author(s):  
Munira Sibai ◽  
Daisaku Inoyama ◽  
Tom G. Stoumbos ◽  
Rakesh K. Kapania
Keyword(s):  
Structure Optimization ◽  
Space Structure

Hoist Sheave Structure Optimization and Lightweight

2015 ◽  
Vol 741 ◽  
pp. 133-137
Author(s):  
Xian Zhao Jia ◽  
Yong Fei Wang
Keyword(s):  
Working Condition ◽  
Geometric Model ◽  
Structure Optimization ◽  
Element Model ◽  
Stiffened Plate ◽  
Optimal Result ◽  
Ansys Software ◽  
Table Analysis ◽  
3D Geometric Model ◽  
Relational Table

To ensure wheel body of the hoisting sheave strength and stability condition. For the purpose of wheel body lightweighting. There are two schemes to reduce body weight.Reduce the spokes at the same time increase the ring stiffened plate, and reduce the spokes at the same time change the spokes width and thickness.The wheel body was established based on Pro/E 3D geometric model. Import the mesh in the Workbench of ANSYS software for finite element model. Statics analysis to select the optimized scheme. Establish a hoisting sheave wheel body under the actual working condition of widening the width - deformation - wheel weight relational table. Analysis to lightweight at the same time ensure that stiffness of wheel,then it can obtaine the optimal result.

Propositional Constraint Graphs: An Intuitive, Domain-General Tool for Diagramming Knowledge, Assumptions, and Uncertainties

2020 ◽  
Vol 64 (1) ◽  
pp. 254-258
Author(s):  
Zachary H. Pugh ◽  
Douglas J. Gillan
Keyword(s):  
Theoretical Models ◽  
Modeling Language ◽  
Planning And Design ◽  
Constraint Structure ◽  
General Tool

A diagramming method called Propositional Constraint (PC) graphing was developed as an aid for tasks involving argumentation, planning, and design. Motivated by several AI models of defeasible (or non- monotonic) reasoning, PC graphs were designed to represent knowledge according to an analogical framework in which constraints (e.g., evidence, goals, system constraints) may elicit or deny possibilities (e.g., explanations, decisions, behaviors). In cases of underspecification, an absence of constraints yields uncertainty and competition among plausible outcomes. In cases of overspecification, no plausible outcome is yielded until one of the constraints is amended or forfeited. This framework shares features with theoretical models of reasoning and argumentation, but despite its intuitiveness and applicability, we know of no modeling language or graphical aid that explicitly depicts this defeasible constraint structure. We describe the syntax and semantics for PC graphing and then illustrate potential uses for it.

scholarly journals Structure Optimization and Sealing Performance of Double Corrugated Self-Sealing Composite Gasket

2021 ◽  
Vol 714 (3) ◽  
pp. 032080
Author(s):  
Wei Tan ◽  
Jinya Xu ◽  
Xin Zhou ◽  
Wenfei Deng ◽  
Xiaoming Yu ◽  
...  
Keyword(s):  
Structure Optimization ◽  
Sealing Performance
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