A study on the performance of various predictive models based on artificial neural network for backward metal flow forming process
Backward metal flow forming is an incremental forming process that is used to manufacture
near shape products with precise dimensions. Among the most important application fields …
near shape products with precise dimensions. Among the most important application fields …
Experimental study and analysis of surface roughness of the flow formed H30 alloy tubes
Surface roughness is one of the most important parameters of a finished, high precision axi-
symmetric product manufactured by the flow forming technology. Consequently, the …
symmetric product manufactured by the flow forming technology. Consequently, the …
Modelling and optimization of mean thickness of backward flow formed tubes using regression analysis, particle swarm optimization and neural network
In this study, the relationship between the input process parameters and the output
parameters of the backward metal flow forming process is established using a full factorial …
parameters of the backward metal flow forming process is established using a full factorial …
Experimental estimation and numerical optimization of 'cylindricity'error in flow forming of H30 aluminium alloy tubes
The present article analyses the influence of flow forming input parameters on the
development of “cylindricity error” in H30 aluminum alloy seamless tubes fabricated by a …
development of “cylindricity error” in H30 aluminum alloy seamless tubes fabricated by a …
Data-Driven Evaluation of Predictive Models for Estimation of Springback in Backward Metal Flow Forming Process
Springback is common defect when soft materials are formed during backward metal flow
forming process. Springback is a combinational effect of roller geometry, process …
forming process. Springback is a combinational effect of roller geometry, process …
Models for Estimation of Springback in Backward Metal Flow Forming
D Kachroo, P Banerjee, A Bera… - … : Select Proceedings of …, 2024 - books.google.com
The backward metal flow forming process finds extensive application in the auto-motive,
defence, and aerospace industries [1, 2]. Flow forming is a near-net-shape advanced …
defence, and aerospace industries [1, 2]. Flow forming is a near-net-shape advanced …
[PDF][PDF] Application of Adaptive Neuro-Fuzzy Inference System for Prediction of Mean Thickness in Backward Metal Flow Forming Process
P Banerjee, A Karmakar, N Hui - Acta Mechanica Slovaca, 2021 - researchgate.net
In the backward metal flow forming process, the mean thickness of flow formed tubes is
crucial in determining the quality. Consequently, predicting the mean thickness in …
crucial in determining the quality. Consequently, predicting the mean thickness in …
[PDF][PDF] FE MODELLING OF THREE DIMENSIONAL STAGGERED BACKWARD METAL FLOW FORMING PROCESS.
A three-dimensional Finite Element (FE) model for a backward flow forming process is
developed using ABAQUS simulation software. Forming parameters such as feed speed …
developed using ABAQUS simulation software. Forming parameters such as feed speed …