Next generation data driven web through SPDM | Pune RUM 2022

Next generation data driven web through SPDM

In recent years of technological advancement, FE modeling practices have been more complex to address the accuracy of the results. It is essential to validate the design based on the actual road load data. The failure occurs due to abuse loading in the entire field, while the basic design validation plan may not consider these loads. 
The current need for simulation is to replicate the actual road load conditions in another way to treat the simulation like a digital twin. The standard process of rain flow counting may miss the peaks of abusive loading as it tries to generalize the duty cycle, but it still won’t be able to capture the real-world scenarios. 
fe-safe can replicate the accurate time history road load data from the performance engineering department. The simulation process involves applying these road load histories as it is in the fe-safe simulation setup. 
This paper demonstrates the effective use of fe-safe for durability analysis using the digital twin philosophy.""Dana virtual design validation team of Power Technologies performs various physics analyses for products such as multilayer steel gaskets, molded gaskets, valve stem seals, transmission and engine oil coolers, battery and power electronics coolers, fuel cell plates, etc. With the implementation of the SPDM platform, all the extensive simulation data have been managed through automated and standardized CAE templates across the Dana technical centers globally.
We decided to create a solution database to move from SPDM data management to design solution. As we all know, the next generation internet will be data-driven. An automated SPDM standard process has been developed to create a database to grab all the critical design parameters and simulation results from every analysis physics. Automatic triggers were deployed to store each analysis results parameter into the Abaqus analysis database. Data-driven design database is a web-based graphical user interface that helps us create various charts and plots. Graphs and plots help us understand each design variable and impact and guide the design team to choose appropriate parameters for any automotive application.
The Abaqus analysis database is also developed to manage computational resources effectively along with the data-driven design database. Each Abaqus analysis output file contains valuable information that we have extracted to the file and built an application that can represent the data in the form understandable to the user and help make decisions. We have created the charts for the proper understanding and developed the provision to filter the data and the pleasing user experience.
Abaqus is the most widely used application for simulation, and SPDM provided the integration with that. The Abaqus data gets automatically imported into the system, and the Abaqus job-related data is also utilized for analysis. With the help of the data, a simple user interface is created, and graphs are designed from that data.
It is the stepping stone in future technologies.

Biography

Balakrishnan D is working as Senior Project Engineer in Dana India Technical Centre (DITC), Pune. He is responsible for design validation of various automotive thermal management components such as Engine oil coolers, transmission oil coolers, battery, and power electronics components coolers. He also performed virtual validation and optimization of various sealing system components such as Cylinder head gaskets, Rubber gaskets, Grommets, Valve seals, and Cam covers. He is one of the method developers to create a standard simulation process and implement a Simulation Process Data Management system (SPDM) across the Dana Power Technologies global technical centers. He has a Bachelor’s Degree in Mechanical engineering from Anna University and a Certification in Engineering design and analysis from IIT Madras. His focus areas are Rubber products development, Sealing solution, Thermal management, Design optimization, and Simulation Process Data Management (SPDM).