SANDMAN®

Green Sand: Art to Analytics

SANDMAN® DigiSMART organizes, stores, validates, analyzes, and leverages your foundry's molding sand data legacy for molding process optimization, using prescriptive and predictive data analytics, enabling SANDMAN is a globally patented, cloud-based data analytics platform built to optimize the entire green sand foundry system. It goes beyond reporting by delivering real-time, actionable guidance that keeps sand preparation, moulding, and rejection control running at peak efficiency, from sand prep to molten metal pouring.

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Overview for SANDMAN®

SANDMAN was built to close a gap most foundries share: sand properties are inconsistent, and rejections rarely get correlated back to consumption in real time. Founder Deepak Chowdhary, with 40+ years in the foundry industry, envisioned a data-driven transformation of the foundry ecosystem, believing that real-time data and advanced analytics could fundamentally change the way foundries operate.

The scale of the problem is well documented. Foundries typically suffer 2% to 20% casting defects, and because those rejections repeat, so do the losses. On an entry-level foundry producing 24,000 tons a year, the cost of just a 1% molding sand rejection runs approximately $225,000 annually. A 10% cut in additive consumption through process optimization saves roughly another $110,000 a year.

The Blind Spot in Foundry Sand Control

Repetitive rejections trace back to four connected blind spots:

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Traditional Sand Control Creates Costly Variability

Traditional foundry operations rely on experience-based decisions and manually recorded data that is often uncaptured, disconnected from rejection outcomes, and slow to analyze.

Challenges
  • Sand rejections run 2% to 20%, and losses repeat because the same causes go unaddressed
  • Additives get overdosed or underdosed without data-backed decision support
  • Root cause analysis is slow and needs data pulled from multiple sources
  • Shop floor knowledge and system changes go unrecorded as staff turn over
  • Deviations are caught late, after rejections have already piled up
  • Sand properties and rejection trends stay hard to see
Solution
  • SANDMAN is a globally patented, cloud-based analytics platform built to optimize the entire green sand system and correct these patterns before they repeat
  • SANDMIX prescriptive analytics delivers dose-by-need dosing for bentonite, coal, silica sand, and other additives
  • Machine-learning based Root Cause Analytics identifies causes within minutes, using Fishbone/Ishikawa diagrams, when past data is available
  • Annotations log system and process changes so institutional knowledge survives personnel moves
  • Real-time smart alerts flag deviations by email, WhatsApp, SMS, and in-app notification
  • Live dashboards and SPC tools give continuous, near real-time visibility

Smarter Decisions Through Data Analytics

SANDMAN runs on a simple working principle: foundry data (sand properties, rejections, additives, component master) feeds a grouping algorithm, which routes each group through predictive and prescriptive analytics to define the optimal operating condition. The result is measurable: optimized system performance, optimal additive consumption, and lower rejection.

High Influence, SANDMAN’s predictive analytics module, analyzes multivariate correlations across sand properties to identify which parameters most influence casting rejections at any point in time, then gives control guidance to minimize them. SANDMIX, SANDMAN’s prescriptive analytics engine, takes that a step further, prescribing near-precise “dose-by-need” additive quantities instead of relying on fixed dosing.

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Predictive & Prescriptive Intelligence

Analyze historical and real-time process data to identify influential sand parameters and correlate them with casting defects for consistent process performance.

Root Cause Analytics

Delivers dynamic root cause analysis within 5 minutes, using advanced statistical tools and Fishbone/Ishikawa diagrams to compare sand properties between good and poor performance periods in near real time.

Key Highlights

  • Root cause analysis within 5 minutes
  • Fishbone/Ishikawa diagrams
  • Deviation analysis between reference and comparison periods
  • Supports informed, process-owner decisions on green sand processes

High Influence Analytics

Forms multivariate correlations across sand properties to identify the parameters most influential on casting rejections, then provides control guidance to minimize them.

Key Highlights

  • Machine learning based multivariate correlation
  • Heat-map view of influencing parameters
  • Actionable control guidance
  • User-friendly, foundry-professional-ready interface

SANDMIX Prescriptive Analytics

Prescribes near-precise, dose-by-need additive quantities (bentonite, fresh silica sand, LCA, and more) for each new pattern group, replacing fixed dosing with variable, multivariate analytics.

Key Highlights

  • Dose-by-need additive prescriptions
  • Reduces return sand variability
  • Lower additive consumption without compromising quality
  • Recommended additive ranges shown per batch

Everything You Need in One Platform

From a real-time dashboard and smart alerts to SPC tools and root cause analysis, SANDMAN® DigiSMART provides a complete digital ecosystem for green sand process management.

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Root Cause Analytics

Fishbone/Ishikawa-based root cause analysis that pinpoints problem areas within about 5 minutes

Data Management

Captures sand, casting pattern, and process data via desktop, mobile, and PLC/SCADA integration for near real-time accuracy

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Annotations

Logs system changes and process changes on the shop floor, institutionalizing foundry experience instead of losing it

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Alert Management

Smart alerts via email, WhatsApp, SMS, and in-app notification for security, process, performance, and analytics deviations

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SPC Tools

Line charts, run charts, process control charts, and process capability metrics for real-time statistical process control

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Dashboard

Business intelligence dashboard showing production, rejection, and sand status metrics with powerful filters and exportable charts

Downloads for SANDMAN®

Available documents:
Sandman-Brochure-2026.pdf

Sandman Brochure

File Type: PDF

Document: Product Brochures

Information - English - 06-08-2026 - 22.07 MB

PDF
Product-Brochure.pdf

MPM Product Brochure

File Type: PDF

Document: Product Brochures

Information - English - 07-07-2026 - 52.72 MB

PDF

Ready to Improve Casting Quality?

The SANDMAN team is ready to help your foundry move from reactive to proactive green sand control, reducing sand-related repetitive casting rejections and additive consumption.

Ready to Improve Casting Quality?