scholarly journals CASTING IMPROVEMENT BASED ON METAHEURISTIC OPTIMIZATION AND NUMERICAL SIMULATION

2017 ◽  
Vol 15 (3) ◽  
pp. 397 ◽  
Author(s):  
Radomir Radiša ◽  
Nedeljko Dučić ◽  
Srećko Manasijević ◽  
Nemanja Marković ◽  
Žarko Ćojbašić
Keyword(s):  
Numerical Simulation ◽  
Design Methodology ◽  
Casting Process ◽  
System Optimization ◽  
Optimization Techniques ◽  
Feeding System ◽  
Pelton Turbine ◽  
Metaheuristic Optimization ◽  
Casting System ◽  
Turbine Bucket

This paper presents the use of metaheuristic optimization techniques to support the improvement of casting process. Genetic algorithm (GA), Ant Colony Optimization (ACO), Simulated annealing (SA) and Particle Swarm Optimization (PSO) have been considered as optimization tools to define the geometry of the casting part’s feeder. The proposed methodology has been demonstrated in the design of the feeder for casting Pelton turbine bucket. The results of the optimization are dimensional characteristics of the feeder, and the best result from all the implemented optimization processes has been adopted. Numerical simulation has been used to verify the validity of the presented design methodology and the feeding system optimization in the casting system of the Pelton turbine bucket.

Numerical Simulation Software of Casting Process used for Computer Aided Instruction

2011 ◽  
Vol 399-401 ◽  
pp. 13-16
Author(s):  
Jian Min Zeng ◽  
Jie Liang ◽  
Zhi Liu Hu ◽  
Ping Chen ◽  
Li Hua Liang
Keyword(s):  
Numerical Simulation ◽  
Casting Process ◽  
Simulation Software ◽  
Computer Aided Instruction ◽  
Casting System ◽  
Computer Aided ◽  
Solidification Processes ◽  
Software Utility ◽  
Casting Design ◽  
Filling And Solidification

Simulation software is an essential tool for today‘s engineers. Its application enables castings to be designed with predicting the final results prior to they are produced. Thus, the simulation plays significant role in casting production. If a realistic calculation of the mold filling and solidification processes can be made it is possible to predict casting defects caused by casting system and/or casting design. In order to understand the changes occurring during solidification of casting, numerical simulation has been used in our classroom teachings for postgraduates. The software structures, mathematical principles, software utility, functions and output criteria are introduced in this paper to demonstrate that computer aided instruction is of Intuitive, attractive and can be used in classroom before the real experiments as assistant means to help postgraduates to understand what is casting and what is solidification

Optimization Techniques in Numerical Simulation of Casting Process

2013 ◽  
Vol 457-458 ◽  
pp. 463-466 ◽  
Author(s):  
Guo Hong Zhang ◽  
Rong De Li ◽  
Chang Tian ◽  
Ke Qiang Qiu ◽  
Jun Xian Ma
Keyword(s):  
Numerical Simulation ◽  
Casting Process ◽  
Optimization Techniques ◽  
Human Intervention ◽  
Trial And Error ◽  
Design Work

This paper presents an overview and example using optimization techniques in casting numerical simulation. Most of the design work can fulfill with the software without human intervention. It really frees the engineer from the amount of trial-and-error that is necessary in traditional modeling.

scholarly journals Optimization of Casting Process of Headstock Based on Numerical Simulation

2021 ◽  
Vol 1802 (2) ◽  
pp. 022096
Author(s):  
Yifei Wang ◽  
Zhongde Shan ◽  
Haoqin Yang ◽  
Xueliang Zhang ◽  
Mengmeng Zhao
Keyword(s):  
Numerical Simulation ◽  
Casting Process

Investigation of Functionally Graded Aluminium A356 Alloy and A356-10%SiCp Composite for Hydro Turbine Bucket Application

2016 ◽  
Vol 26 ◽  
pp. 30-46 ◽  
Author(s):  
Williams S. Ebhota ◽  
Akhil S. Karun ◽  
Freddie L. Inambao
Keyword(s):  
Heat Treatment ◽  
Tensile Stress ◽  
Centrifugal Casting ◽  
A356 Alloy ◽  
Casting Process ◽  
Ultimate Tensile Stress ◽  
Functionally Graded ◽  
Cnc Machining ◽  
Mould Material ◽  
Turbine Bucket

The study investigates the application of centrifugal casting process in the production of a complex shape component, Pelton turbine bucket. The bucket materials examined were functionally graded aluminium A356 alloy and A356-10%SiCp composite. A permanent mould for the casting of the bucket was designed with a Solidworks software and fabricated by the combination of CNC machining and welding. Oil hardening non-shrinking die steel (OHNS) was chosen for the mould material. The OHNS was heat treated and a hardness of 432 BHN was obtained. The mould was put into use, the buckets of A356 Alloy and A356-10%SiCp composite were cast, cut and machined into specimens. Some of the specimens were given T6 heat treatment and the specimens were prepared according to the designed investigations. The micrographs of A356-10%SiCp composite shows more concentration of SiCp particles at the inner periphery of the bucket. The maximum hardness of As-Cast A356 and A356-10%SiCp composite were 60 BRN and 95BRN respectively, recorded at the inner periphery of the bucket. And these values appreciated to 98BRN and 122BRN for A356 alloy and A356-10%SiCp composite respectively after heat treatment. The prediction curves of the ultimate tensile stress and yield tensile stress show the same trend as the hardness curves.

Numerical simulation of multilayered multiple metal cast rolls in compound casting process

2016 ◽  
Vol 93 ◽  
pp. 518-528 ◽  
Author(s):  
Su-ling Lu ◽  
Fu-ren Xiao ◽  
Zhi-hong Guo ◽  
Li-juan Wang ◽  
Han-yun Li ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Casting Process ◽  
Compound Casting ◽  
Compound Casting Process

Harmonic Synthesis Design Methodology for Dynamic Spring Balancing

1996 ◽  
Vol 118 (4) ◽  
pp. 733-740 ◽  
Author(s):  
Eungsoo Shin ◽  
D. A. Streit
Keyword(s):  
Dynamic System ◽  
Initial Conditions ◽  
Phase 1 ◽  
System Optimization ◽  
Optimization Method ◽  
Optimization Techniques ◽  
System Response ◽  
Two Phase ◽  
Walking Machine ◽  
Synthesis Design

A new spring balancing technique, called a two-phase optimization method, is presented. Phase 1 uses harmonic synthesis to provide a system configuration which achieves an approximation to a desired dynamic system response. Phase 2 uses results of harmonic synthesis as initial conditions for dynamic system optimization. Optimization techniques compensate for nonlinearities in machine dynamics. Example applications to robot manipulators and to walking machine legs are presented and discussed.

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