scholarly journals Numerical Simulation and Technology Computer-Aided Design of Plasma Processing for the Fabrication of Semiconductor Microelectronic Devices

2004 ◽  
Vol 80 (11) ◽  
pp. 909-918 ◽  
Author(s):  
Kouichi ONO
Keyword(s):  
Numerical Simulation ◽  
Computer Aided Design ◽  
Plasma Processing ◽  
Microelectronic Devices ◽  
Computer Aided ◽  
Aided Design

scholarly journals CAD/CAM DESIGN AND GENETIC OPTIMIZATION OF FEEDERS FOR SAND CASTING PROCESS

2016 ◽  
Vol 14 (2) ◽  
pp. 147 ◽  
Author(s):  
Nedeljko Dučić ◽  
Žarko Ćojbašić ◽  
Radomir Radiša ◽  
Radomir Slavković ◽  
Ivan Milićević
Keyword(s):  
Numerical Simulation ◽  
Computer Aided Design ◽  
Casting Process ◽  
Sand Casting ◽  
Genetic Optimization ◽  
Design And Optimization ◽  
Computer Aided ◽  
Cad Cam ◽  
Feeder Design ◽  
Aided Design

The paper proposes methodology of feeder design and optimization for sand casting process. Casting part is a part of excavator buckets, i.e. holder of the cutting tooth. Process of design and optimization is based on the application of the rules, which are the result of many years of work researchers in the field of metal casting. Computer Aided Design (CAD) is used as a methodology in the design of feeders. Genetic Algorithm (GA) as an artificial intelligence technique is used in the optimization process of the feeder geometry. Computer Aided Manufacturing (CAM) is used as methodology that involves numerical simulation of the casting process. Numerical simulation is used to verify the validity of the optimized geometry of the feeding system.

scholarly journals Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

2020 ◽  
Author(s):  
Joel Guerrero ◽  
Luca Mantelli ◽  
Sahrish B. Naqvi
Keyword(s):  
Numerical Simulation ◽  
Design Optimization ◽  
Computer Aided Design ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Surrogate Based Optimization ◽  
Computer Aided ◽  
Computational Resources ◽  
Aided Design

In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

scholarly journals Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Fluids ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 36 ◽  
Author(s):  
Joel Guerrero ◽  
Luca Mantelli ◽  
Sahrish B. Naqvi
Keyword(s):  
Numerical Simulation ◽  
Design Optimization ◽  
Computer Aided Design ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Surrogate Based Optimization ◽  
Computer Aided ◽  
Computational Resources ◽  
Aided Design

In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command-line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and, to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

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