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Materials for DPF and its Cleaning Methodologies

ARAI-Kamalkishore Vora, Kartik Gurnule
  • Technical Paper
  • 2019-28-2565
To be published on 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…

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 Studi-Ajay Srivastava
  • Technical Paper
  • 2019-28-2390
To be published on 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 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 NOx emissions reduces however HC and CO emissions are significantly increased. This paper reviews the performance and emissions of compressed natural gas (CNG) – diesel dual fuel engine.

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

International Centre For Automotive Tech.-Ashish Singh
  • Technical Paper
  • 2019-28-2569
To be published on 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.

Location based emergency call enabler

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2457
To be published on 2019-11-21 by SAE International in United States
M. Priyanka, Mahindra & Mahindra, India Sai Himaja Nadimpalli , Mahindra & Mahindra, India Keywords-Safety, Connectivity, GPS Research and/or Engineering Questions/Objective: There are many times the driver or co-passenger can experience emergency conditions whenever the vehicle is running or it is in static. These kind of situations are tough to handle even if one is victimized . The victim can be rescued on time if proper information about the situation would reach his friends or family . Limitations: In existing system, if the accidental crash happens then signal from airbag unit will wake up the mobile, Once this wake up call happens,it will activate the gsm module. The emergency contacts stored in the mobile will be dialed up and the victim can convey his emergency situation through that. The driver will be rescued only if crash happens. There is no system to rescue the driver if heart attack happens when he is driving. The additional problem which the system has is emergency contact is out of town,the victim will not be rescued Methodology: In order…

Occupant Controlled Ventilation

Mahindra & Mahindra, Ltd.-Priyanka Marudhavanan
  • Technical Paper
  • 2019-28-2461
To be published on 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…

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

NoPo Nanotechnologies India Pvt Ltd-Aparna Allannavar
NoPo Nanotechnologies India Pvt, Ltd.-Gadhadar Changalaraya Reddy
  • Technical Paper
  • 2019-28-2532
To be published on 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…

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
To be published on 2019-11-21 by SAE International in United States
In order to improve fuel economy of the 3.3 litre tractor model, various kinds of engine hybridization is studied. This paper presents a methodology to predict engine fuel consumption using 1-D software by coupling Ricardo Wave and Ricardo Ignite. Engine fuel consumption and emission maps are predicted using Ricardo WAVE. These maps are used as an input to IGNITE for predicting cumulative fuel consumption. There is good agreement within 10% deviation between simulated cumulative fuel consumption and experimental cumulative fuel consumption. Same calibrated model is used further for studying series hybridization, parallel P1 type and Parallel P2 type of hybridization. A design of experiment (DOE) model is run for different electric motor sizes, battery capacity and battery state of charge condition, to understand their effects on overall engine fuel consumption and cycle soot emission. Model predicts overall significant reduction in cumulative fuel consumption and soot emission. Lower soot emission will leads to smaller exhaust after-treatment size. There is trade-off between higher cost due to hybridization and lower cost due to lower after-treatment size. A cost…

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

Mahindra and Mahindra-Ranga Srinivas Gunti
  • Technical Paper
  • 2019-28-2424
To be published on 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…

Ride- Comfort Analysis for Commercial Truck using MATLAB Simulink.

ARAI Academy.-Sarnab Debnath
Automotive Research Association of India-Mohammad Rafiq Agrewale
  • Technical Paper
  • 2019-28-2428
To be published on 2019-11-21 by SAE International in United States
Ride Comfort forms a core design aspect for suspension and is to be considered as primary requirement for vehicle performance in terms of drivability and uptime of passenger. Maintaining a balance between ride comfort and handling poses a major challenge to finalize the suspension specifications. The objective of this project it to perform ride- comfort analysis for a commercial truck using MATLAB Simulink. First, benchmarking was carried out on a 4x2 commercial truck and the physical parameters were obtained. Further, a mathematical model is developed using MATLAB Simulink R2015a and acceleration- time data is collected. An experimentation was carried out on the truck at speeds of 20 kmph, 30 kmph, 40 kmph and 50 kmph over a single hump to obtain actual acceleration time domain data. The model is then correlated with actual test over a single hump. This is followed by running the vehicle on Class A, B & C road profiles to account for random vibrations. Similarly, a simulation is done on MATLAB Simulink and a correlation is established between simulated and actual…

Body Structure Strength Of Sleeper Coaches During Rollover Test As Per AIS 119

International Centre For Automotive Tech.-Gopal Singh Rathore
  • Technical Paper
  • 2019-28-2567
To be published on 2019-11-21 by SAE International in United States
Bus passenger safety has always been a concern considering various impacts like side impact, front impact, rollover etc. happening in real life scenarios. Various standards have been formulated for simulating these conditions and with respect to rollover, standards like ECE-R66 are being used to understand the superstructure strength. In India, we have AIS-052 (bus body code) and AIS-031 specific for bus rollover testing. AIS-119 has been published for rollover testing of sleeper coaches with modifications in the survival space creation in sleeper coaches for berths. With physical testing being more expensive, CAE simulations are being considered as vital option which also helps in design modification in a lesser time. This paper discusses the scope of numerical simulation of sleeper coach rollover using an explicit dynamic solver RADIOSS to understand the structure deformations, survival space clearances/intrusions. The paper will describe the procedure for the numerical simulation starting from the CAD development, geometry clean up, meshing techniques, element formulations, CG measurement, input deck set up till the post processing of results. In order to validate the numerical…