Your Selections

Rapid prototyping
Show Only


File Formats

Content Types










   This content is not included in your SAE MOBILUS subscription, or you are not logged in.


General Motors Technical Center India-Abhijith Naik, T Sujan, Suraj Desai, Saravanakumar Shanmugam
  • Technical Paper
  • 2019-28-2544
To be published on 2019-11-21 by SAE International in United States
Rapidly enhancing engineering techniques to manufacture components in quick turnaround time have gained importance in recent time. Manufacturing strategies like Additive Manufacturing (AM) are a key enabler for achieving them. Unlike traditional manufacturing techniques such as injection molding, casting etc., AM unites advanced materials, machines, and software which will be critical for Industry 4.0. Successful application of AM involves a specific combination and understanding of these three key elements. In this paper the AM approach used is Fused Deposition Modelling (FDM). Since material costs contribute to 60% of the overall FDM costs, it becomes a necessity to optimize the material consumption of the produced parts. This paper reports case studies of 3D printed parts used in an Automobile plant’s production aids, which utilize computational methods(CAE), topology optimization and FDM constrains (build directions) to manufacture the part in the most optimal way. These methodologies were used to validate the current operating conditions, optimize the design, increase the stiffness of the original part and reduce the material costs. The newly optimized designs were verified by successfully passing…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

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…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Integrated Engine States Estimation using Extended Kalman Filter and Disturbance Observer

Clemson University-Qilun Zhu, Robert Prucka
  • Technical Paper
  • 2019-01-2603
To be published on 2019-10-22 by SAE International in United States
Accurate estimation of engine state(s) is vital for engine control systems to achieve their designated objectives. Fusion of sensors can significantly improve the estimation results in terms of accuracy and precision. This paper investigates using an Extended Kalman Filter (EKF) to estimate engine state(s) for Spark Ignited (SI) engines with the external EGR system. The EKF combines air path sensors with cylinder pressure feedback through a control-oriented engine cycle domain model. The model integrates air path dynamics, torque generation, exhaust gas temperature, and residual gas mass. The EKF generates a cycle-based estimation of engine state(s) for model-based control algorithms which is not the focus of this paper. The sensor and noise dynamics are analyzed and integrated into the EKF formulation. To account for ‘none-white’ disturbances including modeling errors and sensor/actuator offset, the EKF engine state(s) observer is augmented with disturbance state(s) estimation. Case studies demonstrate that the disturbance augmented EKF can identify the sources of estimation errors and mitigates these errors automatically within several engine cycles. This paper concludes that the number of disturbance states…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Assessment of Numerical Cold Flow Testing of Gas Turbine Combustor through an Integrated Approach Using Rapid Prototyping and Water Tunnel

Indian Institute of Technology Madras-Ssheshan Pugazhendhi
SRM Institute of Science and Technology-Sundararaj Senthilkumar
  • Technical Paper
  • 2019-28-0051
To be published on 2019-10-11 by SAE International in United States
In the present work, it is aimed at developing an integrated approach for combustor modeling involving rapid prototyping and water tunnel testing to assess the cold flow numerical simulations; the physical model will be subjected to cold flow visualization and parametric studies and CFD analysis to demonstrate its capability for undergoing rigorous cold flow testing. A straight through annular combustors is chosen for the present study because of it has low pressure drop, less weight and used widely in modern day aviation engines.Numerical Analysis has been performed using ANSYS-FLUENT. Three dimensional RANS equations are solved using k-ɛ model for the Reynolds numbers ranging from 0.64 x 105-1.5 x 105 based on the annulus diameter. Post processing the results is done in terms of jet penetration, formation of recirculation zone, effective mixing, flow split and pressure drop for different cases. Physical combustor models are fabricated using Rapid prototyping with Poly Lactic Acid material and approximated 2D combustor model is used for capturing important flow patterns using high speed camera in 2D water tunnel, and for pressure…
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Experimental Validation of a Model-Based Water Injection Combustion Control System for On-Board Application

Magneti Marelli SpA - Driveline Division-Matteo De Cesare
University of Bologna-Francesco Ranuzzi, Nicolo Cavina, Guido Scocozza, Alessandro Brusa
  • Technical Paper
  • 2019-24-0015
Published 2019-09-09 by SAE International in United States
Water Injection (WI) has become a key technology for increasing combustion efficiency in modern GDI turbocharged engines. In fact, the addition of water mitigates significantly the occurrence of knock, reduces exhaust gas temperatures, and opens the possibility to reach optimum heat release phasing even at high load.This work presents the latest development of a model-based WI controller, and its experimental validation on a GDI TC engine. The controller is based on a novel approach that involves an analytic combustion model to define the spark advance (SA) required to reach a combustion phase target, considering injected water mass effects. The calibration and experimental validation of the proposed controller is shown in detail in the paper. At first, the focus is on the open-loop branch, to evaluate the performance of the combustion model and its ability to manage Spark Advance (SA) taking in account the phasing implications of WI, maintaining a pre-defined combustion phase target. Then the closed-loop (CL) chain is introduced, defining a structure that allows reaching the target while keeping knock intensity (KI) levels under…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Engineering Analysis with SolidWorks Simulation 2019

  • Book
  • PD331241.2019A
Published 2019-08-15
No Abstract Available.
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A New Approach for Development of a High-Performance Intake Manifold for a Single-Cylinder Engine Used in Formula SAE Application

SAE International Journal of Engines

VIT University, India-Thangavel Venugopal, Routray Anubhav
  • Journal Article
  • 03-12-04-0027
Published 2019-07-26 by SAE International in United States
The Formula SAE (FSAE) is an international engineering competition where a Formula style race car is designed and built by students from worldwide universities. According to FSAE regulation, an air restrictor with circular cross section of 20 mm for gasoline-fuelled and 19 mm for E-85-fuelled vehicles is to be incorporated between the throttle valve and engine inlet. The sole purpose of this regulation is to limit the airflow to the engine used. The only sequence allowed is throttle valve, restrictor and engine inlet. A new approach of combining Ram theory and acoustic theory methods are investigated to increase the performance of the engine by designing an optimized intake runner for a particular engine speed range and an optimized plenum volume in this range. Engine performance characteristics such as brake power, brake torque and volumetric efficiency are taken into considerations. Ricardo WAVE simulation software is used to evaluate the impacts of plenum volume and runner length on engine performance based on the afore-mentioned performance characteristics. Various intake manifold designs are iterated in accordance with the surface…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Design and Validation of Low-Cost Intensity Probe

Michigan Technological University-Karan Gundre, Andrew Barnard
Published 2019-06-05 by SAE International in United States
Sound intensity measurement techniques that used a two-microphone configuration, were first developed in the late 1970s. Originally, the focus was on improving precision during testing or post-processing. However, with the advent of modern, sophisticated equipment, the focus has shifted to the apparatus. Availability of phase-matched microphones has made post-test correction obsolete as the microphones eliminate a majority of the errors before the data is even collected. This accuracy, however, comes at a cost, as phase-matched microphones are highly priced. This paper discusses employing the method of improving post-processing precision, using inexpensive, current equipment. The phase error of the system is corrected using a simple calibration technique and a handheld phase calibrator that is similar to the one used for amplitude calibration of microphones. The intensity probe and calibrator is manufactured using rapid prototyping and the executable software that goes with the probe is designed in NI LabVIEW. The entire setup uses inexpensive parts to lower the cost and modern software to compensate for the errors due to these parts. The design of the probe and…
This content contains downloadable datasets
Annotation ability available

In-Situ Characterization and Inspection of Additive Manufacturing Deposits Using Transient Infrared Thermography

  • Magazine Article
  • TBMG-34383
Published 2019-05-01 by Tech Briefs Media Group in United States

Additive manufacturing, or 3D printing, is a rapidly growing field in which solid objects can be produced layer-by-layer. This technology will have a significant impact in many areas including industrial manufacturing, medical, architecture, aerospace, and automotive. The advantages of additive manufacturing are reduction in material costs due to near-net-shape part builds, minimal machining required, computer-assisted builds for rapid prototyping, and mass-production capability.

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

System Identification, Trajectory Optimization and MPC for Time Optimal Turbocharger Testing in Gas-Stands with Unknown Maps

Linköping University-Max Johansson, Lars Eriksson
Published 2019-04-02 by SAE International in United States
Turbocharger testing is a time consuming process, and as rapid-prototyping technology advances, so must other areas in the development chain. As an example, in one study a compressor map took over 34 hours to measure. In this paper, an effort to combat the main bottleneck of turbocharger testing, namely the thermal inertia, is made. When changing operating point during the measurement process, several minutes can be required before the turbocharger components reach temperature steady state. In an earlier paper, a method based on non-linear trajectory optimization was developed that significantly reduced the testing time required to produce compressor performance maps. The time was reduced by a factor of over 60, compared to waiting for the system to reach steady state with constant inputs. However, the method required a model of the turbocharger. This paper extends the method with system identification and model predictive control (MPC). This is an important step in order to use the optimal control method when only geometric information of the turbocharger is known, such as new prototypes. To demonstrate the effectiveness…
This content contains downloadable datasets
Annotation ability available