A prediction and performance control tool for chemically bonded sands


Control and predition of quality of chemichal bonded sand systems

Chemical bonded sand systems, in their different variants, are the basis for the manufacture of foundry parts that require a raw finish close to the final quality. An important quantity of rejected parts are due to defects originated by the chemical bonded sand system itself: metal penetration, veins, excessively rough surfaces or non metallic inclusions may cause certain castings, despite good metallurgical quality and good pouring design, finally not to conform to specifications and turn into scrap, with the consequent increase in cost and loss of productivity.

The goal of this project is to develop a tool capable of controlling and predicting the quality of any chemical bonded sand system, eliminating rejects due to failures in these systems and obtaining parts closer to their final shape, while minimizing machining requirements.

Project developed by.

This project is being carried out by AMV Solutions and Western Michigan University, in collaboration with leading sand casting foundries.

The Metal Casting laboratory of Western Michigan University is highly prestigious in this field. Thanks to their experience in the evaluation of performance and properties in foundry sands, they have obtained numerous patents, several of them adopted as standards by the American Foundry Society.

AMV Soluciones was born in 2008 due to the passion for mathematics, they are specialized in software solutions for the foundry industry.  They have experience in the development of mathematically based analytical software.

Innovation and research have always been in its DNA and as a result they have cooperated in numerous projects with technology centres, universities and companies from different countries.

With the support of:

Logo CDTI-MINECO (v. 2013)

Current status

Procedural analysis

Model development

Model validation

Final validation


Contribute to improve processes in the foundry industry

Apply mathematical methods for production analysis

Reduce the use of disposable materials in the manufacture of chemical moulds

Control and predict the performance of chemical molding systems


Sam Ramrattan​


Alberto Montenegro