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How do you choose the best surface treatment innovations to improve the efficiency and reliability of your products?


Programs to test and implement the benefits of new surface treatments can take years and cost hundreds of thousands of dollars.

Sentient Science’s team of tribology, material science, and multi-body dynamics scientists and our R&D partners work every day to expand our library of prognostic capabilities and develop faster and valuable commercial products for our customers. One of our newest developments is DigitalClone Surface Material®, multiphysics-based prognostic models to quantify the performance and failure probability on alternate surface treatments such as superfinishing.

With a graphical user interface for analysis, OEMs can interrogate the model to simulate what-if scenarios of how new materials, finishings, coatings, and real world loading scenarios affect life, performance, and production unit cost savings benefits to gears and other tribocomponents. Then, in the field, the models can be deployed within the Industrial Internet on a product, DigitalClone Reman®, to monitor the remaining useful life of components in operation and determine the optimal time and method to remanufacture systems with the best Return on Investment (ROI).

  • Predict failure probability and performance improvement from surface treatments upfront
  • Simulate what-if studies to quantify new life, performance, and cost savings of best combinations
  • Determine best time and methods to refurbish tribocomponents

Available today as a service, DigitalClone Surface Material and DigitalClone Reman are expected to be deployed in the DigitalClone software suite in 2014.