#138 Examining with Dr. Phil Gralla on how "Hardware in the Loop" significantly increases data analysis

Welcome to our two part episode where Composites Lounge invited Dr Dr. Phil Gralla of sensXPERT - Optimizing Plastics Manufacturing to explain how "Hardware in the Loop" (HIL) increases data analysis.Ilkay Özkisaoglu found this a fascinating way to utilize data and if you are not familiar with HIL and how your manufacturing of plastics and composites can benefit from it, listen to this episode.sensXPERT opened its doors end of April 2024 and it took a while to compile this live demo, because we wanted to create the best possible experience, know-how transfer and you to understand the practice of AI, more precisely ML applied to inmold plastics and composites components.There are also some developments that are contactless, since requirements in trenchless technologies assume a test from a certain distance after installation.A little more background on HIL to warm you up on this particular episodes, because these are truly technical:What is hardware-in-the-loop (HIL)?According to MathWorks.com "HIL (Hardware-in-the-loop) simulation is a technique for validating your control algorithm to be run on a specific target controller by creating a real-time virtual environment that represents the physical system to be controlled. HIL allows you to test the behavior of your control algorithms without physical prototypes.How does HIL simulation work?You create and simulate a real-time virtual implementation of physical components—such as a production plant with sensors and actuators—on a target computer.You run the control algorithm on an embedded controller and run the model of the plant or environment in real time on a target computer connected to the controller. The embedded controller interacts with the plant model simulation through multiple I/O channels.You refine software representations of your components and gradually replace parts of the system environment with the actual hardware components.With this approach, HIL simulation can avoid expensive iterations in hardware manufacturing.Where are HIL simulations used?HIL simulations are particularly useful when testing your control algorithm on the real physical system would be expensive or dangerous. HIL simulations are commonly used in automotive, aerospace and defense, industrial automation and engineering to test embedded designs.Examples of commonly used HIL simulations include:Aerospace and defense: flight simulators and flight dynamics control where it would be too complex to test the control algorithm on the actual aircraftAutomotive: vehicle dynamics and control where it would not make sense to test functionality in the early stages on the roadIndustrial automation: plant control testing when stopping production or assembly lines to test control algorithms would mean high resource costs and business losses" (Mathworks.com online accessed 23 Aug 2024, Link in the comments)