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IMPROVE NVH CHARACTERISTICS OF ENGINE OIL PAN BY OPTIMIZATION & LIGHT WEIGHING WITH DEEP LEARNING PROCESS

Altair Engineering India Pvt , Ltd.-Muralidhar Gumma
Altair Engineering-Srinivas Tangudu, Padmaja Durgam
  • Technical Paper
  • 2019-28-2552
To be published on 2019-11-21 by SAE International in United States
Recent Years “NVH” is gaining lots of attention as the perception of vehicle quality by a consumer is closely aligned to NVH Characteristics. Demand on Vehicle Light weighting to compliance the environmental norms with powerful engines challenging the “Vehicle NVH”, powertrain induced noise will be continued to be a primary factor for all IC engine vehicles. Component level NVH refinement is necessary to control the overall NVH characteristics of vehicle with lighter Vehicle goal. Current Paper works starts with physical testing the Engine oil pan of the most popular vehicle and build an equivalent simulation model by reverse engineering the design and match similar performance trend in simulation model. After building baseline simulation model, conduct shape, topology, gauge and material optimization to improve weight and performance of Oilpan. In addition to the Simulation DVPS to study the complete NVH characteristics oil pan models, a deep Learning model developed with power of GPUs to disrupt oil pan design methodology as well as optimizing the weight, Performance and cost . Every design engineer would like to optimize…
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A Philosophy of Full Vehicle Simulation for analysing the Road NVH Problems

Altair Engineering India Pvt Ltd-Azan Parmar
Altair Engineering India Pvt , Ltd.-Hari Krishna Reddy
  • Technical Paper
  • 2019-28-2491
To be published on 2019-11-21 by SAE International in United States
Road and Engine borne noise are the most prominent sources of noise in any commercial vehicle. With advancement in technology and encouraging prospects in hybrid & electric vehicles, road noise can be set aside as the single most dominant source for vehicular NVH problems. In this paper, a full vehicle model is considered for complete NVH simulation with two acoustic and two structural response points. Random road excitations are applied at various vehicle speeds to determine the response characteristics. An elaborate study is conducted to understand the effects of vehicle speed and road conditions on the vehicle. An attempt is also successfully made to diagnose the effects of road excitations on the system behaviour by considering the suitable transfer functions. The methodology can be readily extended to any type of vehicle and speed as the excitations are independent of these parameters. Further, full vehicle model is examined to evaluate the panel and modal participation to the random response obtained
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Digital Twins for Prognostic Profiling

Altair Engineering India Pvt Ltd-Painuri Thukaram
Altair Engineering India Pvt , Ltd.-Sreeram Mohan
  • Technical Paper
  • 2019-28-2456
To be published on 2019-11-21 by SAE International in United States
Digital Twins for Prognostic Profiling Authors: Sreeram Mohan*, Painuri Thukaram**, Panduranga Rao*** Objective / Question: Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system / subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. Methodology: With currently available disruptive technologies , systems are integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenges to system health monitoring as failure of any component can trigger catastrophic system failures. It may be the reason that component failures, as per some aerospace reports, are found to be major contributing factors to aircraft loss-of-control. Essentially, it is either too expensive or impossible to…
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Rapid Prototyping and Implementation of traction motor drive for E- Mobility

Altair Engineering India Pvt Ltd-Sreeram Mohan
Altair Engineering India Pvt , Ltd.-Srikanth R
  • Technical Paper
  • 2019-28-2472
To be published on 2019-11-21 by SAE International in United States
Objective / Question: Is it possible to extend the envelope of simulation driven design and its advantages to development of complex dynamic systems viz. traction motor drives? The objective that then follows is how to enable OEM/Tier-1s to reduce wastes in the process of traction motor controller design, development, optimization and implementation. Motor control design to validation process is time consuming and tricky! Additionally, the requirement of software knowledge to write code to implement drive engineer's control ideas. The challenges here are - to name a few - algorithm for real time, addressing memory constraints, debugging, comprehending mathematical overflows, portability & BOM cost. These introduces wastes in parameters like time, cost, performance, efficiency and reliability. Methodology: Developing a new traction motor controller for E Mobility takes 18 - 24 months typically. 2 distinct activities take place in a loop. One is the motor drive engineer who has good understanding of the motor, requirement demands on the motor & digital control of the motor and the second is the software engineer who has a good understanding…
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Accounting the variabilities into squeak and rattle predictions

Altair Engineering India Pvt Ltd-Chandan Ravi, Rongali Praveen
Altair Engineering India Pvt , Ltd.-Hari Krishna Reddy
  • Technical Paper
  • 2019-28-2402
To be published on 2019-11-21 by SAE International in United States
Squeak and Rattle (S&R) are the dominant undesired noises which adjudge the perceived quality of a vehicle. It's a foremost problem which needs to be identified and eliminated at a design stage to develop a robust vehicle, which also aids in pacifying the physical testing and warranty claim costs. A Finite Element model of the complex plastic dashboard has been analyzed to identify risks and the root cause of S&R problem under dynamic and static loading conditions, using E-line methodology. These complex transient problems are highly influenced by various parameters like gap variability, temperature, the coefficient of thermal expansion, thickness, and material properties. This paper elaborates the detailed investigation conducted using stochastic simulations to evaluate the individual and combined impact of each parameter on S&R performance