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Accelerated structural durability testing of backhoe loader by creation of duty cycle from field data to predict failure modes.

International Centre For Automotive Tech.-Varun Singla
  • Technical Paper
  • 2019-28-2583
To be published on 2019-11-21 by SAE International in United States
These days backhoe loader have become main part of construction equipment vehicles. The main function of backhoe is to dig ditches to lay pipes and underground cable, set up foundations for buildings and create drainage systems. During these operations, many failures are observed in backhoe loader structure/parts. With the help of Accelerated structural durability testing, life of backhoe loader & its part can be estimated; through which we can understand different failure modes. The real time data was collected during various operations which includes pit digging, duck walk, ditch climbing, levelling, dozing, piling, truck loading etc. We have used software based approach to process the strain, displacement and other data collected during real time operation to create the duty cycle. The same duty cycle was simulated in the lab condition using servo hydraulic actuators. Paper will discuss the study of engineering results in terms of strain & displacement at critical joints between real time operation & simulation of same in lab.
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Research & Devlopment Institute-JAGANNATHAN VASU
  • Technical Paper
  • 2019-28-2439
To be published on 2019-11-21 by SAE International in United States
DEVELOPMENT OF A FLEET MANAGEMENT SYSTEM FOR AN OFF-HIGHWAY VEHICLE V.Jagannathan 1.a* , B.Jaiganesh 2.b & S.Sudarsanam 3.c Mahindra & Mahindra Limited, Mahindra Research Valley, Mahindra World City, Anjur PO, TN, India Corresponding author Email- Managing an off-highway vehicle fleet during validation is a challenging task. Complexity is acquainted when more than 100 vehicles with different horse power (hp) & with different product configuration working across India and other parts of countries. Traditionally, a tractor validation involves data collection such as usage hours (Hour meter reading on cluster), locations etc. which are recorded in spread sheet and updated to the respective project owners on daily basis through mail communications. A manual recording and consolidation of tractors validation status is prone to error, reiterative work, consumes more resource and effort. Moving towards digitalization, IT enabled system for updating the tractor validation status on daily basis was added with advantage of huge data storage capacity, history data retrieval and data access anytime & anywhere, a step ahead to traditional method but with few limitations of not…
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An Energy Harvesting E-SHOCK for Future Mobility

Schaeffler Group-Prajod Ayyappath
Schaeffler India Ltd-PS SATYANARAYANA, Kalyan Bhairi
  • Technical Paper
  • 2019-28-2506
To be published on 2019-11-21 by SAE International in United States
India has emerged as the world’s biggest market for Two-wheelers and Four-wheeler. Besides rising incomes and growing infrastructure in all areas, one big reason for the spurt in sales has been ease of zipping in and out of chaotic city traffic along with road irregularities and potholes. Furthermore, the efficiency increase in the Shock absorber within the vehicle have high demands to use of regenerative solutions, in which e-system can be employed as to recover part of the energy otherwise dissipated in form of heat. The Smart e-Shock can charge battery and illuminate accessories of vehicle. Also, the e-shock can provide the various damping characteristics by changing the Electric load on to it to make system as Semi-Active Suspension. This Smart e-Shock system is based on unique and patented concept of constraining the reciprocating motion of the shock absorber in to a single sense of rotation of e-system and the energy is recuperated and given to the battery from the e-system. This retrofittable design can provide better vehicle dynamics-with various driving modes (Comfort, Normal, Sport,…
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Development of Data Acquisition and Analysis System: Telemetry in Automotive

Vellore Institute of Technology-Divyansh Rastogi, Gokul Kumar, Chooriyaparambil Damodaran Naiju
  • Technical Paper
  • 2019-28-0075
To be published on 2019-10-11 by SAE International in United States
Digital data extraction is the most important and advance informative system that are embedded in the modern world functioning machinery to acquire the most precise feedback about the real-time operational situation of the machine to the control centre of operation. This data that is acquired from the machinery can be used to increase the efficiency, operational timing, production-cost and the overall human effort that is required for the operation. This paper focuses on the development on the advanced telemetry system that is capable to acquire real-time data of the modern vehicle wirelessly during its motion. A mobile automotive telemetry system for installation on-board a vehicle, includes: diagnostic structure for monitoring operational functions of the vehicle and generating operational information; memory for storing the generated operational information; and a server, in communication with the diagnostic structure and the memory. The server includes: (a) structure to receive a request from a remote client for the generated operational information; (b) structure to retrieve the generated operational information from the memory; and (c) structure to transmit the generated operational…

Reimagining Innovation: Additive Manufacturing

  • Magazine Article
  • TBMG-34570
Published 2019-06-01 by Tech Briefs Media Group in United States

In the injectable drug-delivery industry, expectations for improved patient experiences with administration and at-home delivery of therapeutic regimens are evolving. Products that combine the drug, its primary packaging, and a delivery system — commonly called combination products — are on the rise. The inclusion and expansion of digital elements in a delivery system can help deliver medical, sensor, and diagnostic information in real-time data streams. Such data can help caregivers provide better overall care, while other digital elements may encourage adherence to therapeutic regimens. Given these trends, additive manufacturing (AM) provides the opening for expansive idea generation and development agility that can lead to improved quality and new opportunities to disrupt the drug-delivery space.

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Flight Control Actuators - Dynamic Seals, Collection of Duty Cycle Data

A-6A3 Flight Control and Vehicle Management Systems Cmt
  • Aerospace Standard
  • ARP4895B
  • Current
Published 2019-05-16 by SAE International in United States
This SAE Aerospace Recommended Practice (ARP) provides an algorithm aimed to analyze flight control surface actuator movements with the objective to generate duty cycle data applicable to hydraulic actuator dynamic seals.
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Evaluation of a Robust Haptic Interface for Semi-Autonomous Vehicles

SAE International Journal of Connected and Automated Vehicles

Clemson University, USA-Chengshi Wang, Yue Wang, John R. Wagner
  • Journal Article
  • 12-02-02-0007
Published 2019-05-15 by SAE International in United States
The advent of steer-by-wire technologies has changed the driving paradigm for drivers and vehicle autonomy. Such technologies integrate electric motors to actuate the tire-road plus human-machine interfaces. Steer-by-wire vehicles can benefit from haptic concepts through the provision of tunable force feedback, coupled with nonlinear control, to introduce lane keeping and pathway following technologies that minimize and possibly eliminate driver actions. In this article, two vehicle haptic interfaces, including a robotic grip and a joystick, both of which are accompanied by nonlinear sliding mode control, have been developed and studied on a steer-by-wire platform integrated with a virtual reality driving environment. An operator-in-the-loop evaluation that included 30 human test subjects investigated these haptic steering interfaces over a prescribed series of driving maneuvers through real-time data logging and post-test questionnaires. A conventional steering wheel with the robust sliding mode controller was used for all the driving events for comparison. Subjective and objective results from the tests demonstrate that the driver’s experience can be enhanced by up to 76.3% with a robotic grip steering input when compared to…
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Autonomous “Wingman” Vehicles

Aerospace & Defense Technology: May 2019

  • Magazine Article
  • 19AERP05_01
Published 2019-05-01 by SAE International in United States

The Future of Military Unmanned Vehicle Technology

The US Army's Futures Command is the most important administrative reorganization of the modern Army. Responding to the world's changing priorities-especially the “near peer” threat of ascendant Russia and China-the Army is no longer modernizing, but re-inventing its ground vehicle fleet against new realities. Just like the U.S. Air Force stopped inventing better jets and pilot aids and moved to unmanned aerial vehicles (UAV) for “dull, dirty and dangerous” missions, the Army envisions multiple autonomous vehicle concepts. Instead of a heavier Abrams main battle tank, or a replacement to the aging M113 APC, autonomous “wingman” vehicles may replace some of the human-heavy tasks on the future battlefield.

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“Fitting Data”: A Case Study on Effective Driver Distraction State Classification

American Optimal Decisions, Inc.-Alexey Zrazhevsky
DENSO International America Inc.-Yu Zhang
Published 2019-04-02 by SAE International in United States
The goal of this project was to investigate how to make driver distraction state classification more efficient by applying selected machine learning techniques to existing datasets. The data set used in this project included both overt driver behavior measures (e.g., lane keeping and headway measures) and indices of internal cognitive processes (e.g., driver situation awareness responses) collected under four distraction conditions, including no-distraction, visual-manual distraction only, cognitive distraction only, and dual distraction conditions. The baseline classification method that we employed was a support vector machine (SVM) to first identify driver states of visual-manual distraction and then to identify any cognitive-related distraction among the visual-manual distraction cases and other non-visual manual distraction cases. The new aspect of this research is optimization of the classification effort, which involved cardinality constraints on 16 overt driver behavior measures. A spline transformation was also implemented to achieve better classification performance. In addition to testing our optimization approach with the SVM, we also explored logistic regression. Results revealed the spline-transformed variables to produce a good “out-of-sample” performance for both the SVM…
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A Blockchain-Backed Database for Qualified Parts

Sigma Resources-W. Ben Towne
Published 2019-03-19 by SAE International in United States
Certain standard parts in the aerospace industry require qualification as a prerequisite to manufacturing, signifying that the manufacturer’s capacity to produce parts consistent with the performance specifications has been audited by a neutral third-party auditor, key customer, and/or group of customers. In at least some cases, a certifying authority provides manufacturers with certificates of qualification which they can then present to prospective customers, and/or lists qualified suppliers in a Qualified Parts List or Qualified Supplier List available from that qualification authority. If this list is in an infrequently updated and/or inconsistently styled format as might be found in a print or PDF document, potential customers wishing to integrate qualification information into their supplier tracking systems must use a potentially error-prone manual process that could lead to later reliance on out-of-date or even forged data.This paper proposes a blockchain-backed database for such applications, facilitating integration with integrators’ electronic systems including near real-time data updates and a reliable audit trail of changes, certificates that provide more reliable signals of data integrity, and a better user interface with…
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