Algoryx’s Mold Characterization technology can be used during mold development, validation or production.
Algoryx enables data-based, system-level decision-making.

The Algoryx Mold Characterization Study results apply to all phases of the product life cycle: development, validation and production.

Product development teams use the Algoryx Mold Characterization Study analysis and simulation results to determine and confirm—in one and only one step—the changes necessary to all elements of the molding system in order to meet or exceed customer Cpk requirements. The molding system includes design targets, design tolerances, design GD & T, the mold, the press, the measurement system and the material.

Product validation teams use the Algoryx Mold Characterization Study results to reduce the cost of validation by greatly reducing the number of measurements, the number of SPC studies and the number of process capability studies required for validation. The greatly reduced number of measurements significantly shortens the time it takes to validate a mold.

Production teams use the Algoryx Mold Characterization Study results to reduce cycle time, to reduce energy costs and to reduce in-process inspection costs. The Algoryx Mold Characterization Study results can also be used as the foundation for process monitoring (accept/reject each shot) and process control (closed-loop feedback) systems.

The Algoryx Mold Characterization Study results apply up and down the entire supply chain including the OEM customer, the molder, the mold fabricator, the mold designer and the part designer.

The Algoryx Mold Characterization Study process integrates activities across engineering disciplines including design, tooling, process, quality, project and product engineering.

The Algoryx Mold Characterization Study process is a systems engineering approach to the molding system that includes design tolerances, design GD & T, the mold, the press, the measurement system and material.

The Mold Characterization Study process is the foundation for data-based decision-making and communication throughout the entire supply chain, whether local or global, internal or external.

Algoryx Eliminates Development and Validation Iteration Loops

Mold Development and Validation In Low and High Cost Countries Before Algoryx. Four iteration loops. Click to enlarge.

Mold Development and Validation In Low and High Cost Countries After Algoryx. No iteration loops. Click to enlarge.

These flowcharts are based on the premise that as much of the development work as possible is done in the Low Cost Country (LCC) and the customer and production are in the High Cost Country (HCC).

Algoryx supports your existing processes by eliminating all iterative tuning cycles (mold, design tolerances, press settings, GD & T and measurement system):

Take the Algoryx Challenge – See the results using your data!

Development Savings

  • Faster time-to-market.
  • Risk Mitigation:
    • Data-based decision-making.
    • Focus on the critical one dimension instead of the not-so-critical.
    • Easily understood correlation charts.
    • Fewer technical mistakes that delay delivery and increase costs.
    • Simulation confirms choices.
  • Simulate and analyze optimal mold settings and eliminate mold tuning iterations.
  • Reduce travel expenses related to problem molds.

Validation Savings

Validation is mold specific, not press specific:

  • Validate by measuring only one dimension in one cavity.
  • Reduce the amount of Validation SPC and Cpk analysis by measuring only one dimension in one cavity.
  • Consistent part production across different presses and locations.
    Mold specific & press independent validation insures optimal quality and cycle times while eliminating validation each time the mold is moved to a new production site. Identify if tool wear is a problem, and if tool wear is a problem, to identify, in advance, when you will start producing bad parts.

Production Savings

Lower part cost:

  • Reduce cycle times by 4-5%.
  • Reduce press energy costs by 4-5%.
  • Reduce shifts due to optimized cycle times.
  • Anticipate and account for material variations and tool wear.
  • Reduce travel expenses related to problem molds.

Take the Algoryx Challenge – See the results using your data!