Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Committees

Events

new

Acoustic Fundamentals for Solving Noise and Vibration Problems Web Seminar RePlay

  • Webinar Recordings
  • PD331309ON
Published 2019-11-24
This course will provide an introduction to the characteristics of sound waves, human perception of sound, sound and vibration measurements, measurement facilities, and various noise sources and noise control principles. It will include an overview of sound pressure, power, intensity, decibels, and frequencies. Practical examples will be used to familiarize participants with the acoustic fundamentals for solving noise and vibration problems and the associated solution principles.By participating in this course, you will be able to: Discuss the differences of various acoustic terminologies that are important to solve noise and vibration problemsDefine a relationship between sound pressure, sound power, and sound intensityAssociate decibel to both sound and vibrationPrepare effective acoustic specifications encompassing all variables that affect noise and vibrationSelect correct instrumentation for noise and vibration measurements recognizing the challenges of measurementsDefine the source-path-receiver relationshipDetermine the steps of noise and vibration source identification process for a given applicationEmploy different noise control options to address specific noise and vibration issues
new

Stall Mitigation and Lift Enhancement of NACA 0012 with Triangle-Shaped Surface Protrusion at a Reynolds Number of 105

SAE International Journal of Aerospace

University of Petroleum and Energy Studies, India-Aslesha Bodavula, Rajesh Yadav, Ugur Guven
  • Journal Article
  • 01-12-02-0007
Published 2019-11-22 by SAE International in United States
Transient numerical simulations are conducted over a NACA 0012 airfoil with triangular protrusions at a Reynolds number (Re) of 100000 using the γ-Reθ transition Shear Stress Transport (SST) turbulence model. Protrusions of heights 0.5%c, 1%c, and 2%c are placed at one of the three locations, viz, the leading edge (LE), 5%c on the suction surface, and 5%c on the pressure surface, while the angle of attack (AOA) is varied between 0° and 20°. Results obtained from the time-averaged solution of the unsteady Navier-Stokes equation indicate that the smaller protrusion placed at 5%c on the suction surface improves the post-stall lift coefficient by up to 59%, without altering the pre-stall characteristics. The improvement in time-averaged lift coefficients comes with enhanced flow unsteadiness due to vigorous vortex shedding. For a given protrusion height, the vortex shedding frequency decreases as the AOA is increased, while the amplitude of fluctuations in lift coefficient increases as the protrusion height is increased or as the AOA is increased. Nevertheless, mitigation of static stall phenomena is observed for most configurations investigated, and…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Materials for DPF and its Cleaning Methodologies

ARAI Academy-Kamalkishore Vora, Kartik Gurnule
  • Technical Paper
  • 2019-28-2565
Published 2019-11-21 by SAE International in United States
Accumulation of ash in the Diesel Particulate Filter (DPF) with engine operating over the time is a major concern for all vehicle manufacturers, with BS VI and BS VII emission norms mandating the use of DPF. Ash deposition leads to increase in pressure drop across the filter and more frequent regeneration pattern, which can lead to sintering. It can hamper the capacity of soot loading, properties of DPF substrate material and can lower catalyst activity in case of Catalysed-DPF. Hence, removal of ash is important by defining the DPF cleaning methods. Primary source of ash is lubricant oil, taking part in the combustion. Lubricant additives like detergents and anti-wear agents are responsible for formation of metallic ash inside the DPF. Secondary source of metallic ash is fuel and engine wear out. The present paper elucidates the preparation of DPF samples including coating and canning of DPF substrates, with proper GBD. Pressure drop and weight with and without coating is estimated and validated through actual measurement of fresh as well as soot loaded samples. Soot loading…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

A Technical Review on Performance and Emissions of Compressed Natural Gas - Diesel Dual Fuel Engine

Indian Oil Corp., Ltd.-M. Muralidharan, M Subramanian
University of Petroleum and Energy Studies-Ajay Srivastava
  • Technical Paper
  • 2019-28-2390
Published 2019-11-21 by SAE International in United States
In view of the depletion of energy and environmental pollution, dual fuel technology has caught the attention of researchers as a viable technology keeping in mind the increased availability of fuels like Compressed Natural Gas (CNG). It is an ecologically friendly technology due to lower particulate matter (PM) and smoke emissions and retains the efficiency of diesel combustion. Generally, dual fuel technology has been prevalent for large engines like marine, locomotive and stationary engines. However, its use for automotive engines has been limited in the past due to constraints of the limited supply of alternative fuels. CNG is a practical fuel under dual-fuel mode operation, with varying degree of success. The induction method prevents a premixed natural gas-air mixture, minimizes the volumetric efficiency and results in a loss of power at higher speeds. Under lower engine operating temperatures, at low-intermediate loads, the oxides of nitrogen (NOx) emissions reduce however hydrocarbon (HC) and carbon monoxide (CO) emissions are significantly increased. This paper reviews the fuel properties of CNG comparison with diesel, methods available to use CNG…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

To establish the correlation in between Computer Aided Engineering & physical testing of automotive parts returnable case (Stacktainer).

International Centre for Automotive Technology-Ashish Singh
  • Technical Paper
  • 2019-28-2569
Published 2019-11-21 by SAE International in United States
Automotive returnable cases (Stacktainers) are being used to transport the automotive parts through surface & seaways. No automotive manufacturer wants to spend money on woods, paper & cardboard again and again, it`s better to pay once for robust & reusable cases. these provide better protection to parts from its manufacturing to assembly line of vehicle. While transporting, any kind of crack or failure of returnable cases may lead to loss of money, human & time. To ensure the safety, these pallets have to be validated for vibrations coming from surface irregularities, sea waves & load due to stacking of cases one above other. The objective of this study is to establish a correlation in between the physical testing & simulation in Computer added Engineering (CAE) of automotive returnable case (Stacktainers). There are different types of tests considered to validate the returnable case, rough road evaluation, Multi-axial Vibration & strength evaluation. After conducting the physical test & CAE simulation, a correlation & confidence level up to 90% is established.
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Location and Call Frequency Based Emergency Dial Enabler

Priyanka Marudhavanan, Sai Nadimpalli
  • Technical Paper
  • 2019-28-2457
Published 2019-11-21 by SAE International in United States
Emergency calls made by in-vehicle systems in the event of a crash , serious incident or manually by a vehicle occupant assist in significantly reducing road deaths and injuries. But still there are more road accidents happen due to abnormality of driver and fatality rate tend to increase because of this. Drivers have a poor health issues, especially when they travel for long, they may get drowsiness and this leads to lack of concentration while driving and because of this concentration issue any serious issue can happen to the driver. This serious conditions can be totally unavoided. This invention provides the solution for contacting the people, who is known to victim very well. during emergency conditions. This may assist victim to get a immediate medical help.
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Occupant Controlled Ventilation

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2461
Published 2019-11-21 by SAE International in United States
Keywords-Coolant,Ventilation Research and/or Engineering Questions/Objective: Number of Occupants is the major parameter when we consider Air Conditioning System. The number of person who stays in the room may vary in the same way the person who travels in the automobile also vary throughout the distance. This is more prevalent in transportation system like bus, train and where lot of people will travel together and where dropping station in the vehicle is too frequent.In this type,operating A.C has to be varied Methodology: . Instead the number count in the vehicle will be monitored from time to time. Based on the number of count, the cabin has to be cooled or heated and accordingly corresponding power has to be drawn by the compressor from the engine. This human count can be detected based on the number of CO2 sensor located in the cabin. the amount of fresh air that should be added to a cabin can be controlled by a carbon dioxide level transmitter. When CO2 levels go up, fresh air is added until the CO2 levels…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Self-Sensing, Lightweight and High Modulus Carbon Nanotube Composites for Improved Efficiency and Safety of Electric Vehicles

NoPo Nanotechnologies India Pvt Ltd.-Gadhadar Changalaraya Reddy, Aparna Allannavar
  • Technical Paper
  • 2019-28-2532
Published 2019-11-21 by SAE International in United States
Carbon Composites (CFRP) have been touted to be an essential component of future automobiles due to their mechanical properties and lightweight. CFRP has been adopted successfully for secondary and primary structures in Aerospace industry. In Automobiles, they are incorporated in models like the BMW i-series. CFRP suffers from 2 major problems. Delamination of Composites leads to catastrophic and rapid failure which could be dangerous in passenger vehicles. Delamination occurs whenever there is a shock on the composite. Secondly, Composites need regular expensive maintenance to ensure that the material is intact and will not compromise passenger safety. Carbon Nanotubes in composites have shown a substantial increase in delamination resistance. A 0.1wt% addition of HiPCO® Single-walled Carbon Nanotube provides both self-sensing and improved fracture resistance. Here we report results of our work with NoPo HiPCO® Nanotubes with small amounts of Iron. 6K Carbon fiber was used as the fiber reinforcement. NoPo HiPCO® Nanotubes were reinforced in the Epoxy system by sonication. HiPCO® Nanotubes were produced using standard parameters. The coupons of CENCE composite were made using VARTM…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

Engine Fuel Economy Optimization for Different Hybrid Architectures Using 1-D Simulation Technique

Tafe Motors and Tractors Limited-Ajay Nain, Devendra Nene
  • Technical Paper
  • 2019-28-2496
Published 2019-11-21 by SAE International in United States
Hybridization of off road vehicles is in its early phase but it is likely to increase in coming years. In order to improve fuel economy and overall emission of the 3.3 litre tractor model, various kinds of engine hybridization is studied. This paper presents a methodology to predict vehicle fuel consumption and emission using 1-D software by coupling Ricardo Wave and Ricardo Ignite. Initially, An acceptable agreement within 5% deviation between simulation and experimental is established for engine steady state points, both for engine performance and NOx emission parameters. Engine fuel consumption and emission maps are predicted using Ricardo WAVE model. These maps are used as an input to IGNITE model for predicting cumulative fuel consumption. Same calibrated model is used further for studying idle start stop and fully hybrid P0 type hybrid architecture. The hybrid P0 type involves idle start stop, e-boost and regeneration. Model predicts overall significant reduction in cumulative fuel consumption and NOx, HC and CO emission.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.
new

A Machine Learning based Multi-objective Multidisciplinary Design Optimization (MMDO) for Lightweighting the Automotive Structures

Mahindra and Mahindra, Ltd.-Ranga Srinivas Gunti
  • Technical Paper
  • 2019-28-2424
Published 2019-11-21 by SAE International in United States
The present work involves Machine Learning (ML) based Multi-objective Multidisciplinary Design Optimization (MMDO) for lightweighting the automotive structures. The challenge in deployment of MMDO algorithms in solving real-world automotive structural design problems is the enormous time involved in solving full vehicle finite element models that involve large number of design variables and multiple performance constraints pertaining to vehicle dynamics, durability, crash and NVH domains. With the availability of powerful workstations and using the advanced Computer Aided Engineering (CAE) tools, it has become possible to generate huge sets of simulation data pertaining to multiple domains. In the present work, lightweigting of the vehicle structure is achieved, considered the vehicular hardpoint locations and the gages of the vehicle structures as the design variables and performance parameters pertaining to vehicle dynamics, structural durability, front-end intrusions during an IIHS offset impact test and the modal frequencies of few critical structural members as the constraint variables. Artificial Neural Networks (ANN) based algorithms were used for developing the predictive models of various performance parameters. The predictive models were then used to…