Multi‐Input Multi‐Output Modeling of Anthill Clay‐Bonded Sand Mold System Using Artificial Neural Networks: Forward and Reverse Predictions
ABSTRACT Anthill clay sand molding is characterized as a multi‐input, multi‐output system where molding sand properties, such as permeability, compression strength, collapsibility, and mold hardness, are affected by an array of process parameters, including anthill‐to‐sand ratio, number of strokes,...
Saved in:
Main Authors: | N. Prasad Chandran, G. C. Manjunath Patel, Ganesh R. Chate, Oguzhan Der, Chithirai Pon Selvan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-06-01
|
Series: | Engineering Reports |
Subjects: | |
Online Access: | https://doi.org/10.1002/eng2.70224 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process
by: Wen-Chin Chen, et al.
Published: (2025-06-01) -
MANUFACTURING CAPABILITIES AND THE LEVELS OF THE MOLD CORES QUALITY MANAGEMENT
by: I. N. Prusenko
Published: (2016-01-01) -
A rapid-set cement suitable as a molding sand binder for small ferrous castings /
by: Sanders, S. D.
Published: (1980) -
FORWARD TRANSACTIONS CONCLUSION
by: G.N. KUKOVINETS, et al.
Published: (2010-04-01) -
Prediction of the viscoelastic parameters of asparagus and optimization of the harvesting robot gripping force based on a back-propagation neural network
by: Yuan Fahui, et al.
Published: (2025-12-01)