Multi-objective optimization of green sand mould system using evolutionary algorithms

Surekha, B.; Kaushik, Lalith K.; Panduy, Abhishek K.; Vundavilli, Pandu R.; Parappagoudar, Mahesh B.

doi:10.1007/s00170-011-3365-8

Cited by 49 publications

(43 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, some substances in green sand may evaporate when heated, which will impact on the measurement accuracy to some degrees [6].…”

Section: A Weighing Methodsmentioning

confidence: 99%

Review on the Methods for Measuring the Moisture Content of Green Sand

Gao¹,

Shi²,

Dong³

2012

Proceedings of the 1st International Conference on Mechanical Engineering and Material Science

View full text Add to dashboard Cite

Abstract-The moisture of green sand mainly refers to the water that can be got rid of at the temperature of 105℃-110℃, and it is affecting sand quality, one of the most important and sensitive parameters that affect the quality of green sand. At present, the methods for measuring the moisture content can be divided into two categories of direct and indirect methods. The precision of the direct method is high while the measurement period is long, so it does not suits to online measurement, and is often used to calibrate the indirect methods. In the indirect methods, the moisture content can be online obtained by measuring the physical parameters or performance indexes related to the moisture. They mainly include the resistance method, capacitance method, inductive method, microwave method, infrared spectrometry method, and nuclear magnetic resonance method.

show abstract

“…In addition, some substances in green sand may evaporate when heated, which will impact on the measurement accuracy to some degrees [6].…”

Section: A Weighing Methodsmentioning

confidence: 99%

Review on the Methods for Measuring the Moisture Content of Green Sand

Gao¹,

Shi²,

Dong³

2012

Proceedings of the 1st International Conference on Mechanical Engineering and Material Science

View full text Add to dashboard Cite

show abstract

“…More recently evolutionary algorithms (GA and PSO) are used for multi-response optimization of the green sand mould system. The optimized parameter setting suggested by the PSO and GA are compared with the experimental cases and the results shown PSO outperforms GA in terms of for extreme values prediction of all the responses and computational efficiency [97].…”

Section: Optimizationmentioning

confidence: 99%

Modelling in Squeeze Casting Process-Present State and Future Perspectives

Patel¹,

MB²

2015

Adv Automob Eng

View full text Add to dashboard Cite

The growing demand in today's competitive manufacturing environment has encouraged the researchers to develop and apply modelling tools. The development and application of modelling tools help the casting industries to considerably increase productivity and casting quality. Till date there is no universal standard available to model and optimize any of the manufacturing processes. However the present work discusses the advantages and limitations of some conventional and non-conventional modelling tools applied for various casting processes. In addition the research effort made by various authors till date in modelling and optimization of the squeeze casting process has been reported. Furthermore the necessary steps for prediction and optimization are high lightened by identifying the trends in the literature. Ultimately this research paper explores the scope for future research in online control of the process by automatically adjusting the squeeze cast process parameters through reverse prediction by utilizing the soft computing tools namely, Neural Network, Genetic Algorithms, Fuzzy-logic Controllers and their different combinations. The present work also proposed a detailed methodology, starting from the selection of process variables till the best process variable combinations for extreme values of the outputs responsible for better product quality using experimental, prediction and optimization methodology. Citation: Manjunath Patel GC, Krishna P, Parappagoudar MB (2015) Modelling in Squeeze Casting Process-Present State and Future Perspectives. Modelling in Squeeze Casting

show abstract

“…10 Oji et al 11 presented optimization of process parameters in sand casting as a function of mechanical properties of the cast part. Surekh et al 12 presented a multiobjective optimization of green sand mold system using evolutionary algorithms, such as GA and particle swarm optimization (PSO). In this study, nonlinear regression equations developed between the control factors (process parameters) and responses like green compression strength, permeability, hardness and bulk density have been considered for optimization utilizing GA and PSO.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Gating System for Sand Casting Using Genetic Algorithm

et al. 2016

View full text Add to dashboard Cite

The paper presents a methodology of optimization of the gating system for sand casting using the genetic algorithm. Software package for computer-aided design/computer-aided manufacturing (CAD/CAM) was used as the support to the design and verification of the optimized gating system. The geometry of the gating system of sand casting in excavator tooth holder was the subject of optimization. The objective was to maximize filling rate given the constraints posed by both the ingate module and Reynolds number. Mold filling time has been presented as a function of the ingate cross section and casting height. Given the conditions above, as the result of the optimization, a complete geometry of the gating system has been defined. Numerical simulation (software MAGMA 5 ) has been used to verify the validity of the optimized geometry of the gating system.

show abstract

Multi-objective optimization of green sand mould system using evolutionary algorithms

Cited by 49 publications

References 12 publications

Review on the Methods for Measuring the Moisture Content of Green Sand

Review on the Methods for Measuring the Moisture Content of Green Sand

Modelling in Squeeze Casting Process-Present State and Future Perspectives

Optimization of the Gating System for Sand Casting Using Genetic Algorithm

Contact Info

Product

Resources

About