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Thumb Design and Optimization for Backhoe Loader

John Deere C&F-Kurtis Langner
John Deere India Pvt. Ltd.-Sandeep Dhotre, Surya Pratap Ponnana, Amit Ghate
  • Technical Paper
  • 2019-28-0109
To be published on 2019-10-11 by SAE International in United States
Product Engineering organizations are committed to provide solutions with right quality and value to customers. Value improvement and efficient product improvement are key considerations for product engineering. In this paper, Author outlines the summary of Thumb Design and Optimization for Backhoe Loader. This project goal was to come up with own thumb design. The Backhoe thumb attachment was previously a Proprietary Design of the supplier which had two major limitations, limited opportunity of design improvements for resolving customer issues and higher total cost. The paper covers details about overcoming these limitations. In Backhoe loaders, for multiple variants of machines, four different thumbs are used. Small and mid-backhoe machine classes use 4-tine and 2-tine thumb depending upon customer applications. The design team targeted an external customer requirement of a more compact design and internal requirement of accelerating design improvement cycle time. To overcome these concerns, along with few more constraints, a full study of new thumb design was conducted. Key constraints included compatibility to current design, maintain tip forces, and optimize for a compact design. The…
 

Analytical Model for Calibration Results Performances Enhancement, Resulting in Automated Prescription for Equipments

Airbus-Juan Manuel García Lasanta, Damian Mendez-Huelva
SAICA SL-Jose Enrique Garofano
  • Technical Paper
  • 2019-01-1878
To be published on 2019-09-16 by SAE International in United States
The current aeronautical manufacturing sector is characterized by the high level of competence and the required requirement in its production processes, based on the objectives of profitability and safety (airworthiness). In recent years, there is a real revolution in the sector, where the most advanced tools for the organization and optimization of production are given priority, supported by the latest massively used techniques of automatic data collection. , their organized storage and their analytical classification. Metrology plays a key role in ensuring the quality and reliability of the information generated in these productive cycles. The provision of an analytical model of flexible measurement systems, capable and easily adaptable to the dynamics of the company, is presented as one of the pillars in which this new conception of production is based. The provision of an analytical model of flexible measurement systems, capable and easily adaptable to the dynamics of the company, is presented as one of the pillars in which this new conception of production is based. At the Airbus plant in Puerto Real, and in…
 
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SAE Truck & Off-Highway Engineering: August 2019

  • Magazine Issue
  • 19TOFHP08
Published 2019-08-01 by SAE International in United States
Electric machines find their niche Smaller machines working in cities are particularly ripe for electrification, but most off-highway applications will retain the internal-combustion engine.Big data, big benefits Data mining helps users and equipment developers use data from on-vehicle sensors to work more efficiently.Data connectivity in harsh environments Ensuring high-speed data transmission requires OEM designers to think more about components, placement and the impact of environmental conditions early in design.Trucks with intuition Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road.Change is afoot Cummins and its CTO help focus the 2019 SAE COMVEC on the fast-shifting technology landscape that faces both on- and off-highway sectors.Editorial AI, ADAS & AVs-oh my!Holistic hydraulic designs add more sensors, controlsDSD helps 'balance the books' for buying electric truck technologyJCB prepared to meet EU Stage V emissionsProtecting a cyber-physical remote diagnostic communication system against cyberattacksSKF employs digital tools to enhance bearing design, performanceNew Mercedes-Benz Actros loaded with ADAS, active safety techQ&A Peloton CEO Josh Switkes explains Level 4 'automated following' platooning
 
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Trucks with INTUITION

SAE Truck & Off-Highway Engineering: August 2019

Sebastian Blanco
  • Magazine Article
  • 19TOFHP08_04
Published 2019-08-01 by SAE International in United States

Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road.

The automotive and commercial vehicle industries are working on answers to a tremendous number of questions no one bothered to ask before. Volvo, for example, wants to know if vehicles can have human intuition.

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Autonomous Vehicle Engineering: July 2019

  • Magazine Issue
  • 19AVEP07
Published 2019-07-05 by SAE International in United States
Editorial The consolidation plot thickensThe Navigator As the world turns to C-V2X, Europe picks WiFiComplexity of Autonomous-Systems Simulation, Validation Soars to the Clouds Scalable, cloud-based architectures are gaining greater acceptance for simulating and testing the myriad development aspects of automated driving.Connectivity Solutions for AVs The promises of fully connected autonomous vehicles are great, but so are the challenges.What M&E Can Teach the AV Industry About Data Media & entertainment offers important learnings on data retention, management, scalability and security.The Rodney Dangerfield of Automated-Driving Sensors Radar and lidar get all the attention, but Inertial Measurement Units are the backbone of sensor fusion. Suppliers are scrambling to make IMUs more accurate-and much less expensive.The Sense-itive Side of Autonomous Vehicles BASF is exploring how specific materials-and even paint colors and finishes-can improve the capabilities of AV sensors.German University Studying Assisted-Driving 'Handoff' Germany's Kempten University Adrive Living Lab will feature aVDS driving simulator to research ADAS stress levels.ZF's Current Work Builds for the EV, AV Future The Tier-1 giant's "vision" for improving future mobility leverages its latest safety and…
 

Delivering on Autonomous Transport

Autonomous Vehicle Engineering: July 2019

Ryan Gehm
  • Magazine Article
  • 19AVEP07_12
Published 2019-07-01 by SAE International in United States

Einride ramps up industry partnerships and on-road demos of its all-electric self-driving truck that's missing one thing: a cab for the drivers.

“Data is the most efficient propellant.” This expression underpins the founding in 2016 of the Swedish startup Einride. The fledgling tech company currently is partnering with well-established transport-intensive companies, at an increasingly accelerated rate, to run its cab-less autonomous truck, the T-pod, at their facilities and even on public roads. These activities are coordinated by intelligent routing software that integrates customer data, traffic data, vehicle data, etc., to optimize delivery time, battery life and energy consumption.

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Driverless Ridesharing Remains in Uber's Sights

Autonomous Vehicle Engineering: July 2019

Kami Buchholz
  • Magazine Article
  • 19AVEP07_13
Published 2019-07-01 by SAE International in United States

Introducing a new, production-ready AV with partner Volvo, Uber's rideshare network is likely to offer self-driving vehicles on select routes.

Uber hasn't set a timeline for deploying autonomous vehicles (AVs) on its worldwide ridesharing network, but plenty has happened since the company began development work in 2015-the latest being the June 2019 introduction with close partner Volvo Cars of a self-driving vehicle the companies claim is production-ready.

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Uncertainty of the Ice Particles Median Mass Diameters Retrieved from the HAIC-HIWC Dataset: A Study of the Influence of the Mass Retrieval Method

Delphine Leroy
Airbus-Alice Grandin, Fabien Dezitter
Published 2019-06-10 by SAE International in United States
In response to the ice crystal icing hazard identified twenty years ago, aviation industry, regulation authorities, and research centers joined forces into the HAIC-HIWC international collaboration launched in 2012. Two flight campaigns were conducted in the high ice water content areas of tropical mesoscale convective systems in order to characterize this environment conducive to ice crystal icing. Statistics on cloud microphysical properties, such as Ice Water Content (IWC) or Mass Median Diameter (MMD), derived from the dataset of in situ measurements are now being used to support icing certification rulemaking and anti-icing systems design (engine and air data probe) activities. This technical paper focuses on methodological aspects of the derivation of MMD. MMD are estimated from PSD and IWC using a multistep process in which the mass retrieval method is a critical step. Complementary to previous studies reporting on MMD values calculated from the HAIC-HIWC dataset, this paper deals with the uncertainty in MMD by comparing two different approaches for the retrieval of the mass-size (m-D) relationship. The analysis encompasses the data collected in the…
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Evaluation of Visual Failure versus Aerodynamic Limit for a Snow Contaminated Anti-Iced Wing Section during Simulated Takeoff

APS Aviation Inc.-Marco Ruggi
National Research Council Canada-Catherine Clark
Published 2019-06-10 by SAE International in United States
Under contract to Airlines for America (A4A), APS Aviation Inc. (APS), in collaboration with the National Research Council of Canada (NRC), completed an aircraft ground icing exploratory research project at the NRC 3 m × 6 m Wind Tunnel in Ottawa in January 2019. The purpose of this project was to investigate the feasibility of using aerodynamic data to evaluate the performance of contaminated anti-icing fluid, rather than the traditional visual fluid failure indicators that are used to develop Holdover Times (HOTs). The aerodynamic performance of a supercritical airfoil model with anti-icing fluids and snow contamination was evaluated against the clean, dry performance of the airfoil in order to calculate the associated aerodynamic penalty. The visual failure of the fluid was also evaluated for each run, and the visual and aerodynamic results were compared against each other for each contamination exposure time. The results demonstrated that the visual failure of a fluid was not directly linked to the aerodynamic performance of the fluid, and the margin between the two was a function of the fluid…
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Driveline NVH Integration of An NA Truck Program

American Axle & Manufacturing-Ying Peng, Zhenghong Shi, Christopher Folts, Gregory Kopp, Zhaohui Sun, Alexander Sandstrom
Published 2019-06-05 by SAE International in United States
In the current automotive industry, it is common that the driveline subsystem and components are normally from different automotive suppliers for OEMs. In order to ensure proper system integration and successful development of driveline system NVH performances, collaboration efforts between OEMs and suppliers are very demanding and important.In this paper, a process is presented to achieve successfulness in developing and optimizing vehicle integration through effective teamwork between a driveline supplier and a major OEM. The development process includes multiple critical steps. They include target development and roll down, targets being specific and measurable, comprehension of interactions of driveline and vehicle dynamics, accurate definition of sensitivity, proper deployment of modal mapping strategy, which requires open data sharing; and system dynamics and optimization. More specially, the supplier can work with OEM to seek the most cost-effective solutions, through tuning the driveline system dynamics to provide "quiet" frequency zone against vehicle sensitivity, to avoid normally needed costly suspension changes. Two case studies of a pick-up vehicle driveline program integration are used in this paper to illustrate the effectiveness…
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