Achieving better Vehicle NVH performance using MSA and RBDO methods

In this presentation, Dr. David J. Gorsich - Chief Scientist, U.S. Army Ground Vehicle Systems, describes the GVSC’s current programs to deliver an operational model and insights into future terrain mobility models. The ability of a ground force to maneuver has always been critical to determining success or defeat on the battlefield. On the future battlefield, mobility will remain essential with predictive intelligence central to mission completion. At present, mobility models are not terribly precise, as mobility depends on a large number of interdependent variables, like soil characteristics, moisture, temperature, vehicle characteristics, and with large amounts of uncertainty. The convergence of better ways to measure the key parameters either directly or remotely coupled with the increase in computational power and advanced vehicle design is bringing the promise of more accurate terrain and mobility models. Imagine a battlespace where we could accurately advise our forces where it is possible and not possible to maneuver, while the adversary does not have such an advantage.

Reducing weight through design optimization can be another way to deal with global warming since it could reduce greenhouse gas emission. However, uncertainty can have a decisive effect on reliability and safety of a structure when the design is near-optimal or optimal. In this presentation, we will introduce how to consider uncertainties from environmental (wave, wind, current) loads, material properties, and manufacturing process in marine applications using RAMDO to obtain a reliable and light weighted design. Presenter: Hyun-Seok Kim - Senior Researcher, Korea Research Institute of Ships & Ocean Engineering (KRISO)

A brief overview of successful applications of variability simulation techniques in achieving better product designs, and discuss challenges in taking design for variability to the next level. Presenter: Jianmin Guan - Sr. Director, Vibration and Acoustics Solutions, Altair

As manufacturers face demands for faster time-to-market, higher quality, and cost-effective design, they started adopting Virtual Product Development (VPD) using physics-based simulation tools and avoid the build–test–redesign–retest cycle. The benefits of VPD are palpable, with reduced development costs, significantly fewer physical prototypes, and drastically shortened development schedules. Highly powerful CAE (FEA, CFD, MBD, Durability, Acoustics, etc.), CAD, CAM and Optimization Software make realization of VPD possible. However, to develop an effective VPD, the physics-based simulation model needs to be statistically validated (V&V) so they can represent the physical system well. Presenter: KK Choi - Managing Member, RAMDO Solutions

In the automotive industry, one of the biggest challenges is designing vehicles to withstand the variability in the duty cycle. To help speed up the design process and reduce cost, automotive OEMs are relying more and more on simulation. This 25-minute webinar, will explain how one OEM is relying more on their virtual proving ground during the design process, to reduce the amount of physical prototyping and rely on simulations and their virtual proving ground to obtain the loads for durability. To achieve this requires the OEM to have confidence that their simulation model provides the correct loads for durability. The model validation result provides the confidence number when comparing the loads obtained from the simulation to the loads measured from the actual proving ground. Presenter: Nicholas Gaul | Chief Technical Officer, RAMDO Solutions Featuring RAMDO by RAMDO Solutions, available through the Altair Partner Alliance

Training - Systematic approach for NVH Problem solving Techniques

Improving the ESL using Complete Vehicle Correlation In the previous webinar, the development of an ESL has been shown based on a complete vehicle simulation. In order to validate this new approach, a comprehensive correlation work has been performed. Using the dynamic distortion in all closure body openings as correlation criteria offer a unique possibility to increase the understanding of the load from both the engine and the wheel suspension. This webinar presents this correlation where a test vehicle is driven on different test tracks both in reality and virtually. Presenter: Jens Weber | CAE Engineer, CEVT

ESL Development Based on Simulation - Application example The body stiffness has a major impact on the Squeak & Rattle performance of a car. Since the body structure of electrical/autonomous cars will differ clearly from traditional bodies, an enhanced requirement is needed to limit the distortion in the closure openings. This webinar presents a new approach of defining a requirement based on closure deformations using an equivalent static load (ESL), which considers both the reduction from a complete vehicle to a BIG and from a dynamic load to a static load. In addition, an example is shown how ESL can be used as input for body optimization. Presenter: Viktor Jonsson | CAE Engineer (Consultant), CEVT

Vehicle designers face a challenge to design vehicle passenger restraint systems that account for variability in driver BMI, stature, age, and gender. One solution is to design an adaptive restraint system that accounts for these variations. However, it is difficult to assess how this combination of factors affect the injury risk level. We will present, how using the injury risk simulations, uncertainty quantification, and data science provides a method to segment the population and identify injury risk level within each segment. This provides designers with a powerful tool to create designs reducing injury risk for all passengers.

Training - Systematic approach for NVH Problem solving techniques - 290520

Training - Systematic approach for NVH Problem solving techniques 28/05/2020

Training - Systematic approach for NVH Problem solving Techniques - 26/05/2020

A systematic approach for NVH Problem solving techniques - 25/05/2020

Post Processing For NVH - HyperView:NVD

The key element of an electric vehicle (EV) is the battery and batteries are known to produce heat during their charge-discharge cycle. An efficient thermal management system (TMS) is of paramount importance. The battery TMS affects the cost, life, and range of the EV. A battery TMS study or an EV TMS study involves the use of thermal and fluid physics and Altair’s AcuSolve (Computational Fluid Dynamics based Simulation Technology), was used to carry out this study. The importance of finding new methods for effectively and accurately designing TMS that control temperature and optimize the performance of Li-ion batteries. This can be used to study and optimize the Battery Thermal Management System and other Thermal Management requirements arising in an electric vehicle which involves both active and passive cooling. A similar issue of heat (unwanted) exists in Motors as well, in this, we shall cover the Multiphysics simulation of Motors which shall include both electromagnetics and CFD Thermal studies of both air and liquid coolant motors.

Replacement of traditional combustion engines with an electric powertrain, bring electro-mechanical induced tonal and high-frequency whine noise. In addition, tire and aerodynamic turbulent noise become more prominent in the absence of a standard Internal Combustion Engine. Also, the perceived sound quality imposes a new set of challenges. This leads to completely new methods of NVH refinement, keeping the decades of research aside. As it is important to address these issues at the design and development stage, adopting the new simulation techniques to manage future NVH challenges in e-Mobility is of the prime challenge to the traditional NVH engineers. In this webinar, we shall discuss some of those key NVH challenges specific to electric vehicles and appropriate simulation processes to develop countermeasures.

Electric Vehicles (EV) are complex systems and need to be connected, automated, lighter & smarter all at once. This calls for systems engineering where different systems are seen whole instead of in silos. Experience e-Mobility Simulation using Altair Model-Based System simulation solutions with real-time motor controller implementation on HIL (Hardware in the loop) with the micro-controller. Its intuitive block diagram environment allows users to model and simulate continuous and discrete dynamical systems, mix signal-based, physical modeling and Co-simulation with electro-magnetic & multi-body dynamics. End to end system-level virtual simulation for complete e-Mobility is made possible.

Traction Motor play key role in the electric vehicle/hybrid electric vehicle (EV/HEV) development process. The design of a High-Performance e-Motor is a complex undertaking. Engineers have conflicting constraints to consider including efficiency, temperature, weight, size, and cost. To explore more ideas, better understand their designs and improve performance, Altair HyperWorks™ has a workflow to guide motor designers through an efficient process of Simulation-Driven Design. This analysis and optimization solution supports multi-disciplinary teamwork and reduces design times.

During the development of new vehicles, PSA Peugeot Citroën Group (PSA) wanted to take the lead in using simulation technology to detect squeak and rattle noise problems, before physical testing was possible. The initiative led to a collaboration between PSA’s Method Development Engineering team and Altair ProductDesign to explore the use of simulation technologies and numerical optimization methods at an early stage of development. This 60-minute Webinar, jointly presented by PSA and Altair, discusses the project and its progress, describing the results achieved through the application of an “E-Line method” approach and detailing how the newly established processes have been integrated into PSA’s existing Virtual Development Process (VDP).

An introductory webinar to RAMDO, an uncertainty quantification, reliability analysis, and design optimization software platform. RAMDO is a complimentary CAE software that when used in conjunction with a design simulation package provides a more reliable product design. RAMDO allows engineers to take into account the variability of design inputs (materials, loads, etc.) along with operating conditions and create an optimized solution.

The Advanced CAE Model Build and Integration Workshop showcases improvements in advanced meshing workflows, enterprise connection and model comparison that helps streamline model-build - process and improve the quality and deliver simulation ready models. The Workshop will be conducted by Mr. Michael Dambach, Vice President, HyperWorks Mod-Vis Program Management, Altair Inc.