SANDMAN efficiently captures, co-relates, validates and integrates a Foundry’s sand data – regardless of volume and source into a structured repository. Standardised, comprehensive and easy-to-use forms for data entry based on globally accepted nomenclature and foundry lexicon; thus ensuring that data entered is correct every time! Digitalization allows for visualization and comparison multi-variate sand properties
Historically, foundrymen have relied on the ‘art’ of experience and instinct based decision-making. However, not only is there a decreasing availability of domain experienced personnel and skilled manpower to manage the Greensand System, practiced as an ‘art’; the new age sand systems which churn out huge volumes of sand, molds and cores and handle multi
This Cloud-based software makes it easy to access data anytime, anywhere without geographic or physical limitations. This means there is no need for on-site installation and the state of your sand system can always be available in a few clicks! This software mandates NO change in Man, Material and Machine.
SANDMAN enables you to quickly make insightful correlations between sand properties, additives, and rejections. The line charts can be easily customised across variable date and time series, multiple properties, rejections types etc. with directional support to understand causes of casting defects during the set period which is infinitely variable to choose.
The data analytics driven algorithms are the heart of this application. The predictive modelling provides the optimal sand properties and optimal rejections corresponding to each metal part. The model correlates casting rejection with sand parameter and provides the most optimal sand parameters range to operate, which can result in consistently minimising the optimal rejection predicted
Internet of Things is fast transforming the way the interlinking of data from various devices can add huge value by bringing near real time information to the analytics process; reducing human intervention and increasing precision of decision support and execution. SANDMAN has capabilities to handshake with the molding line and compactibility controllers SCADA – which
Machine Learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine learning and optimisation algorithms are developed in our software to simulate the complete foundry process flow. The Machine learning algorithm establishes a cause and effect relationship between