The Experts below are selected from a list of 303957 Experts worldwide ranked by ideXlab platform
Gyung-jin Park - One of the best experts on this subject based on the ideXlab platform.
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Structural optimization using equivalent static loads at all time intervals
Computer Methods in Applied Mechanics and Engineering, 2002Co-Authors: W. S. Choi, Gyung-jin ParkAbstract:A quasi-static structural optimization for elastic structures under dynamic loads is presented. An equivalent static load (ESL) set is defined as a static load set, which generates the same displacement field as that from a dynamic load at a certain time. Multiple ESL sets calculated at all the time intervals are employed to represent the various states of the structure under the dynamic load. They can cover all the critical states that might happen at arbitrary times. The continuous characteristics of a dynamic load are considered by multiple static load sets. The calculated sets of ESLs are utilized as a multiple loading condition in the optimization process. A Design Cycle is defined as a circulated process between an analysis domain and a Design domain. The analysis domain gives the loading condition needed in the Design domain. The Design domain gives a new updated Design to be verified by the analysis domain in the next Design Cycle. The Design Cycles are iterated until the Design converges. Structural optimization with dynamic loads is tangible by the proposed method. Standard example problems are solved to verify the validity of the method.
J L Rogers - One of the best experts on this subject based on the ideXlab platform.
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international conference on engineering Design iced 97 tampere august 19 21 1997 reducing Design Cycle time and cost through process resequencing
1997Co-Authors: J L RogersAbstract:In todayOs competitive environment, companies are under enormous pressure to reduce thetime and cost of their Design Cycle. One method for reducing both time and cost is todevelop an understanding of the flow of the Design processes and the effects of the iterativesubCycles that are found in complex Design projects. Once these aspects are understood,the Design manager can make decisions that take advantage of decomposition, concurrentengineering, and parallel processing techniques to reduce the total time and the total cost ofthe Design Cycle. One software tool that can aid in this decision-making process is theDesign ManagerOs Aid for Intelligent Decomposition (DeMAID).The DeMAID software minimizes the feedback couplings that create iterative subCycles,groups processes into iterative subCycles, and decomposes the subCycles into a hierarchicalstructure. The real benefits of producing the best Design in the least time and at a minimumcost are obtained from sequencing the processes in the subCycles.
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demaid ga user s guide Design manager s aid for intelligent decomposition with a genetic algorithm
1996Co-Authors: J L RogersAbstract:Many companies are looking for new tools and techniques to aid a Design manager in making decisions that can reduce the time and cost of a Design Cycle. One tool that is available to aid in this decision making process is the Design Manager's Aid for Intelligent Decomposition (DeMAID). Since the initial release of DEMAID in 1989, numerous enhancements have been added to aid the Design manager in saving both cost and time in a Design Cycle. The key enhancement is a genetic algorithm (GA) and the enhanced version is called DeMAID/GA. The GA orders the sequence of Design processes to minimize the cost and time to converge to a solution. These enhancements as well as the existing features of the original version of DEMAID are described. Two sample problems are used to show how these enhancements can be applied to improve the Design Cycle. This report serves as a user's guide for DeMAID/GA.
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demaid ga an enhanced Design manager s aid for intelligent decomposition
6th Symposium on Multidisciplinary Analysis and Optimization, 1996Co-Authors: J L RogersAbstract:Many companies are looking for new tools and techniques to aid a Design manager in making decisions that can reduce the time and cost of a Design Cycle. One tool is the Design Manager's Aid for Intelligent Decomposition (DeMAID). Since the initial public release of DeMAID in 1989, much research has been done in the areas of decomposition, concurrent engineering, parallel processing, and process management; many new tools and techniques have emerged. Based on these recent research and development efforts, numerous enhancements have been added to DeMAID to further aid the Design manager in saving both cost and time in a Design Cycle. The key enhancement, a genetic algorithm (GA), will be available in the next public release called DeMAID/GA. The GA sequences the Design processes to minimize the cost and time in converging a solution. The major enhancements in the upgrade of DeMAID to DeMAID/GA are discussed in this paper. A sample conceptual Design project is used to show how these enhancements can be applied to improve the Design Cycle.
Grier C I Lin - One of the best experts on this subject based on the ideXlab platform.
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reverse engineering in the Design of turbine blades a case study in applying the mamdp
Robotics and Computer-integrated Manufacturing, 2000Co-Authors: Liangchia Chen, Grier C I LinAbstract:Abstract This paper presents a case study on the reverse engineering of turbine blades used in nuclear power generators. Reverse engineering has been widely recognised as a crucial step in the product Design Cycle. However, major problems with current reverse engineering technology are the inefficient surface reconstruction process, lack of digitising accuracy control in the data digitisation process, and bottlenecks resulted from huge amounts of digitised surface points in the surface modeling process. Moreover, under this limitation, modern concurrent engineering concepts are difficult to implement to obtain optimal product Design. This study applies a developed reverse engineering approach – the modified adaptive model-based digitizing process (MAMDP) to the 3D geometric Design of turbine blades. The approach integrates surface digitising and modeling processes of turbine blades into a single surface reconstruction process. Using the approach, accurate product CAD models can be efficiently generated and the product Design Cycle of turbine blades can be successfully linked.
W. S. Choi - One of the best experts on this subject based on the ideXlab platform.
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Structural optimization using equivalent static loads at all time intervals
Computer Methods in Applied Mechanics and Engineering, 2002Co-Authors: W. S. Choi, Gyung-jin ParkAbstract:A quasi-static structural optimization for elastic structures under dynamic loads is presented. An equivalent static load (ESL) set is defined as a static load set, which generates the same displacement field as that from a dynamic load at a certain time. Multiple ESL sets calculated at all the time intervals are employed to represent the various states of the structure under the dynamic load. They can cover all the critical states that might happen at arbitrary times. The continuous characteristics of a dynamic load are considered by multiple static load sets. The calculated sets of ESLs are utilized as a multiple loading condition in the optimization process. A Design Cycle is defined as a circulated process between an analysis domain and a Design domain. The analysis domain gives the loading condition needed in the Design domain. The Design domain gives a new updated Design to be verified by the analysis domain in the next Design Cycle. The Design Cycles are iterated until the Design converges. Structural optimization with dynamic loads is tangible by the proposed method. Standard example problems are solved to verify the validity of the method.
Liangchia Chen - One of the best experts on this subject based on the ideXlab platform.
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reverse engineering in the Design of turbine blades a case study in applying the mamdp
Robotics and Computer-integrated Manufacturing, 2000Co-Authors: Liangchia Chen, Grier C I LinAbstract:Abstract This paper presents a case study on the reverse engineering of turbine blades used in nuclear power generators. Reverse engineering has been widely recognised as a crucial step in the product Design Cycle. However, major problems with current reverse engineering technology are the inefficient surface reconstruction process, lack of digitising accuracy control in the data digitisation process, and bottlenecks resulted from huge amounts of digitised surface points in the surface modeling process. Moreover, under this limitation, modern concurrent engineering concepts are difficult to implement to obtain optimal product Design. This study applies a developed reverse engineering approach – the modified adaptive model-based digitizing process (MAMDP) to the 3D geometric Design of turbine blades. The approach integrates surface digitising and modeling processes of turbine blades into a single surface reconstruction process. Using the approach, accurate product CAD models can be efficiently generated and the product Design Cycle of turbine blades can be successfully linked.
