Applus Software DIGITALIZATION INFRASTRUCTURE FOR MATERIALS, TEST LABS, and R&D
Technical information is an aspect of product data that must be accessible by engineering teams at many phases of the product life cycle. Every aspect of this complex and highly varied data can now be carefully organized in libraries and supported by analytical tools and software modules to aid materials engineers, CAE engineers, test labs, and designers in their daily tasks. When deployed across the enterprise, digitalization software brings harmony, efficiency, and control while minimizing risk.
Digitalization requires a strong understanding of both the virtual and real systems. Our software leverages more than 20 years of DatapointLabs’ experience in the operation of testing laboratories, and in understanding the physics of materials, as used in simulation and in product development. Applus DatapointLabs
DIGITALIZATION SOFTWARESee All
build and manage curated material data collections for use across your ecosystem and product life cycle, including advanced tasks: simulation material modeling, specifications management, and master material file management
lab information management infrastructure for the operation of test laboratories, fully integrated data gathering, analytics, and collaboration tools
electronic lab notebooks for scientific experimentation beyond materials, allowing scientists and engineers to develop and implement testing programs, collect, analyze, and report
comprehensive online catalog and order system for physical, thermal, and flow properties of materials for use in product development individual tests, TestPaks, or CAETestBench validations. Confirm your order and ship your materials. Our seasoned technical staff are expert in the physics of materials, measurement, and material parameter conversion for simulation.
material testing and material parameter conversion to create material cards for over 30 simulation (CAE) programs, including finite-element analysis, crash and drop-test simulations, injection-molding and other process simulations