Multi-characteristic optimization of wax patterns in the investment casting process using grey–fuzzy logic

Pattnaik, Sarojrani; Karunakar, D. Benny; Jha, Pradeep Kumar

doi:10.1007/s00170-012-4591-4

Cited by 55 publications

(22 citation statements)

References 21 publications

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“…This uncertainty can be effectively examined by using fuzzy-logic approach [18]. Thus complicated multi-objective optimization problem can be solved by integrating GRA and fuzzy-logic techniques.…”

Section: Grey-fuzzy Logicmentioning

confidence: 99%

Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach

Dewangan

Gangopadhyay

Biswas

2015

Engineering Science and Technology, an International Journal

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Keywords:AISI P20 tool steel Grey-fuzzy logic Multi-response optimization Surface integrity Electric discharge machining a b s t r a c t Surface integrity remains one of the major areas of concern in electric discharge machining (EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is utilized to determine the optimal settings of EDM process parameters with an aim to improve surface integrity aspects after EDM of AISI P20 tool steel. The experiment is designed using response surface methodology (RSM) considering discharge current (Ip), pulse-on time (T on ), tool-work time (T w ) and tool-lift time (T up ) as process parameters. Various surface integrity characteristics such as white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR) are considered during the current research work. Grey relational analysis (GRA) combined with fuzzy-logic is used to determine grey fuzzy reasoning grade (GFRG). The optimal solution based on this analysis is found to be Ip ¼ 1 A, T on ¼ 10 ms, T w ¼ 0.2 s, and T up ¼ 0.0 s. Analysis of variance (ANOVA) results clearly indicate that T on is the most contributing parameter followed by Ip, for multiple performance characteristics of surface integrity.

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Section: Grey-fuzzy Logicmentioning

confidence: 99%

Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach

Dewangan

Gangopadhyay

Biswas

2015

Engineering Science and Technology, an International Journal

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“…Furthermore, the shrinkage of the wax patterns was also found to be very less, that is, 2.84%. 17 The wax pattern used to be in direct contact with the primary layer of the ceramic shell, and the shell thickness is influenced by the slurry coatability over the disposable wax pattern. Too thick coat would lead to spalling of the ceramic material, while too thin coat would lead to non-coverage of the ceramic material over the wax pattern.…”

Section: Microstructure and Surface Profiles Of Wax Pattern Ceramic mentioning

confidence: 99%

A novel method of increasing ceramic shell permeability and optimizing casting shrinkage and tensile strength of the investment cast parts

Pattnaik

Jha

Karunakar

2016

Proceedings of the Institution of Mechanical Engineers, Part B:

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This study explores about enhancing the permeability of the ceramic shells used in the investment casting process using cheaply available sawdust particles. An increase in shell's permeability augments the cooling rate of the casting which enhances its mechanical properties. It was found that the inclusion of sawdust particles into the ceramic slurries exhibited positive impact on the shell's permeability. It is a well-known fact that electromagnetic stirring process increases the mechanical properties of the castings, but its effect on casting shrinkage has never been realized. Thus, this study further throws light on the impact of electromagnetic stirring in reducing the shrinkage and improving the tensile strength of the casting. In a nutshell, it was found that the final product quality of the investment cast part improved by the combinational treatments adopted in this research work.

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“…This uncertainty can be efficiently addressed using fuzzy logic [47] because of its ability to deal with uncertain and vague information [48]. The integration of fuzzy logic with GRA can further improve its performance in solving multi-response problems for process optimization [39]. The following steps are deployed for application of fuzzy logic along with GRA so as to obtain the corresponding grey fuzzy reasoning grade (GFRG).…”

Section: Fuzzy Logic In Grey Relational Analysismentioning

confidence: 99%

Application of the grey-based fuzzy logic approach for materials selection

Babu

James

Philip

et al. 2017

International Journal of Materials Research

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Material selection is considered an important step in the design and manufacturing of a part/product. Wrong selection of material may cause poor quality, increase in cost, early failure of the product, or any combination of them. It may also create difficulties in the manufacturing process leading to increases in manufacturing time and cost. The general rule in design is to select materials based on their properties that match with the product requirements. Hence, decision making for material selection is a crucial process, and several mathematical tools and techniques have been presented in the literature to aid this process. Those techniques have their own advantages and limitations. This paper proposes the application of the grey-based fuzzy logic approach to solve three real time material selection problems. For all the examples, the first and the last ranks of materials derived using the adopted method and those obtained by past researchers are exactly the same. This indicates that when uncertainties are involved, grey-based fuzzy logic can be employed as an efficient tool for solving complex material selection problems.

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Multi-characteristic optimization of wax patterns in the investment casting process using grey–fuzzy logic

Cited by 55 publications

References 21 publications

Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach

Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach

A novel method of increasing ceramic shell permeability and optimizing casting shrinkage and tensile strength of the investment cast parts

Application of the grey-based fuzzy logic approach for materials selection

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