Upcoming Sessions
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Tuesday, Sept 29, 2 PM EST
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Fluid Power IoT as Easy as 1 2 3 Solving the big problem of unplanned downtime with the IoT has now become solving the big problem of IoT. Take this opportunity to learn from IoT Diagnostics’ collective decades of experience in Fluid Power to go back to the basics and learn how linking the three fundamental pieces of any IoT journey can quickly realize the expectations we have for this technology. We’ll then explore applications across 3 critical pieces of fluid power, and how to use the IoT to monitor the health of the heart, blood, and muscle of our systems by looking at hydraulic pumps, lubrication, and power units. See why we believe IoT can be as easy as 1 2 3. Speaker: Sponsored by:
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Tuesday, Oct 13, 2 PM EST
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Processor-in-the-Loop Method: A Powerful Simulation Tool for Optimal Control Systems FD-Groups America offers to its customers a complete Model Based Design (MBD) approach. Following the design and verification of the satisfactory behavior of a machine, the MBD approach can be extended to the control system development. Utilizing the digital twin, the control logic can be extracted and defined via the model-in-the-loop method (MIL), evaluated via the software-in-the-loop method (SIL) and then tested on the physical processor via the processor-in-the-loop method (PIL). Our engineering team has developed a specialized user library that makes the communication between a plant model and an Engine Control Unit (ECU) through a Controller Area Network (CAN) cable connected to a computer possible. Thanks to the integrated protocol of this library, synchronization between the model and the ECU facilitates the analyzation, debugging and improvement of the control software and hardware without derating the model’s physics resulting in accuracy and reliability. As opposed to the empirical approach, this advanced solution makes the development process possible from our office in which the control system’s response in critical situations can be validated without any risk for operators or machines. Furthermore, the PIL method cuts cost and time to market by delivering a nearly ready to use control system before any physical prototype manufacturing and testing. Applications on industrial cases including a hydrostatic transmission control, virtual intervention zones for a platform and the latest endeavor of autonomous driving of agricultural machinery will be presented. Speaker: Sponsored by:
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Tuesday, Oct 27, 2 PM EST
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Improving Your Process with Precision Electro-Pneumatic Control in Any Industry Engineers working on solutions for pneumatic applications have many options for compressed air and gas control, from simple mechanical valves to complex assemblies. Add finding a product to meet all the specifications, and the entire process is a challenge. For those who are ready for a product that works without the trial-and-error of a manual device or the uncertainty of off-the-shelf units, electro-pneumatic regulation could be the answer. We’ll discuss applications that require precision, accuracy and repeatability that electro-pneumatic control can provide. Speaker: Sponsored by:
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Tuesday, Nov 10, 2 PM EST
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Using Failure Analysis Simulation Tools to Enhance System Reliability and Streamline Prototyping and Maintenance The Automation Studio™ failure mode analysis module presented during this conference makes it possible to identify the functions that do not or no longer meet the performance prescribed in its load specifications, based on the known or supposed failure modes of the components making up a system, and this for all the operational modes that they are supposed to support. Currently, this analytical work is carried out across different interdepartmental meetings. The functionalities of the failure modes analysis module applied to the digital twin modeled with the components preconfigured according to the performance of the manufacturers will reduce the analysis time and bring all the participating experts into synergy. We will try to demonstrate that the reports from its failure analyzes improve the design phase, speed up troubleshooting, optimize productivity, and streamline decision-making for maintenance or any other area. In other words, to increase the reliability of the product and the competence of the teams throughout its life cycle. Speaker:
Sponsored by:
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