A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304

Garg, Akhil; Tai, Kang; Gupta, Amit Kumar

doi:10.1007/s11012-013-9873-x

Cited by 39 publications

(12 citation statements)

References 40 publications

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“…The values of population size and number of generations fairly depend on the complexity of the data. Based on previous applications of the algorithm by Garg et al [34][35][36][37][38][39], the population size and number of generations should be fairly large for data of higher complexity, so as to find the models with minimum error. Maximum number of genes and maximum depth of the gene influences the size and the number of models to be searched in the global space.…”

Section: Multi-gene Genetic Programmingmentioning

confidence: 99%

Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

Vijayaraghavan

Garg

Lam

et al. 2014

Int J Adv Manuf Technol

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Fused deposition modelling (FDM) is an additive manufacturing technique deployed to fabricate the functional components leading to shorter product development times with less human intervention. Typical characteristics such as surface roughness, mechanical strength and dimensional accuracy are found to influence the wear strength of FDM fabricated components. It would be useful to determine an explicit numerical model to describe the correlation between various output process parameters and input parameters. In this paper, we have proposed an improved approach of multi-gene genetic programming (Im-MGGP) to formulate the functional relationship between wear strength and input process variables of the FDM process. It was found that the improved approach performs better than MGGP, SVR and ANN models and is able to generalise wear strength of the FDM prototype satisfactorily. Further, sensitivity and parametric analysis is conducted to study the influence of each input variable on the wear strength of the FDM fabricated components. It was found that the input parameter, air gap, has the maximum influence on the wear strength of the FDM fabricated component.

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Section: Multi-gene Genetic Programmingmentioning

confidence: 99%

Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

Vijayaraghavan

Garg

Lam

et al. 2014

Int J Adv Manuf Technol

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“…Depending on the problem, the values of population size and generations are set. A study of applications of CI in machining processes indicated that the population size and number of generations should be set to a low number for the good amount of data samples having the lower dimensions [51,52]. The size and variety of forms of the model to be searched in the solution space is determined by the maximum number of genes and the depth of the gene.…”

Section: Implementation Of Mggp Approachmentioning

confidence: 99%

Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet

Garg

Vijayaraghavan

Wong

et al. 2014

Simulation Modelling Practice and Theory

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“…Besides, based on the interactions of stacking faults, the interactions between dislocations and twin boundaries, as well as the interactions of solute atoms with precipitates and dislocations, have been used to explain the PLC effect. Also, Gupta et al and Garg et al developed the suitable constitutive models for describing the DSA behaviors in an austenitic stainless steel. Krishna et al studied the effects of rolling temperature and strain on PLC effect, and found that an increasing dislocation density and the smaller grain size lower the strain for initiating PLC effect.…”

Section: Introductionmentioning

confidence: 99%

Influences of Initial Microstructures on Portevin‐Le Chatelier Effect and Mechanical Properties of a Ni–Fe–Cr–Base Superalloy

et al. 2018

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Effects of initial microstructures on the Portevin-Le Chatelier effect (PLC) and mechanical properties of a Ni-Fe-Cr-base superalloy are investigated by hot tensile deformation tests. The inverse PLC effect only occurs in the ST (solution treated) and SAT (solution plus δ phases aging precipitation) superalloys when the deformation temperature is above 873 K. Effects of initial microstructures on the temperature range of PLC effect are obvious, that is, the narrowest temperature range for the HS (solution plus γ 0 /γ 00 phases aging precipitation) superalloy, while the widest temperature range for the ST superalloy. The average activation energy for type A/AþB/B serrations can be determined as 65-81 kJ mol À1 , which contributes to the migration of carbon atoms through pipe diffusion. Meanwhile, the average activation energy for type C serration is about 132-175 kJ mol À1 , which is induced by the pipe diffusion of substitutional atoms. An obvious increase in the yield strength with increasing the deformation temperature from 900 to 973 K is observed for the ST and SAT superalloys. Also, the negative strain rate sensitivity is found in the PLC effect regime. The ST and HS superalloys exhibit the ductile fracture. However, a mixture of ductile transgranular and cleavage fracture is observed in the SAT superalloy.

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A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304

Cited by 39 publications

References 40 publications

Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

Combined CI-MD approach in formulation of engineering moduli of single layer graphene sheet

Influences of Initial Microstructures on Portevin‐Le Chatelier Effect and Mechanical Properties of a Ni–Fe–Cr–Base Superalloy

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