John Deere Moline Technology Innovation Center

Moline, IL, United States

John Deere Moline Technology Innovation Center

Moline, IL, United States
SEARCH FILTERS
Time filter
Source Type

Reinke R.,University of Illinois at Urbana - Champaign | Dankowicz H.,University of Illinois at Urbana - Champaign | Phelan J.,John Deere Moline Technology Innovation Center | Kang W.,University of Illinois at Urbana - Champaign
Precision Agriculture | Year: 2011

A model is developed to describe the flow of grain through a clean grain elevator system on a combine in order to facilitate accurate mass flow rate estimation. The relationship between mass flow rate and impact force described by the model depends upon machine operational characteristics, mechanical interactions of the grain and the machine geometry, and material properties of the grain. The model was designed to be adaptable to varying grain conditions, such as those influenced by moisture content, by allowing free parameters of the model to be estimated through a nonlinear regression algorithm. Simulations were performed using discrete element modeling software and data was obtained from experiments conducted on a clean grain elevator system at the University of Kentucky Combine Yield Monitor Test Facility to determine the ability of the model to accurately estimate mass flow rate. The model estimated mass flow rate with a normalized root mean squared residual (NRMSR) less than 2% for discrete element modeling simulations. For experiments involving machine components, NRMSR values were less than 3% for corn at 14% moisture, less than 3% for corn at 21% moisture, and less than 5% for corn at 26% moisture. © 2011 Springer Science+Business Media, LLC.


Reinke R.,University of Illinois at Urbana - Champaign | Phelan J.,John Deere Moline Technology Innovation Center | Dankowicz H.,University of Illinois at Urbana - Champaign
SAE International Journal of Commercial Vehicles | Year: 2010

An effort was undertaken to capture the relationship betweenthe output of mass flow sensors and the input rate of massflow for harvesting combines with yield monitors. Differenttypes of models were considered that characterize thisrelationship and that can be applied to a variety of mass flowsensor technologies. Issues such as implementation duringharvesting and calibration of these sensors and models wereexplored. Additionally, an example of such a model and itsvalidation against experimental data was examined. Forsmall-scale laboratory experiments, the model was shown toclosely capture the general trend of the data as well as toyield reasonable estimates of the mass flowing through thesystem based on the sensor output. For large-scaleexperiments, the model was able to be fitted to theexperimental data, and to estimate mass flow rate withrelatively low errors across a variety of operating conditions. © 2010 SAE International.


Tutuncu G.,Iowa State University | Tutuncu G.,John Deere Moline Technology Innovation Center | Motahari M.,Iowa State University | Bernier J.,Lawrence Livermore National Laboratory | And 4 more authors.
Journal of the American Ceramic Society | Year: 2012

Strain and texture evolution (domain switching) of polycrystalline, ferroelectric BaTiO3 was investigated in four-point bending geometry. Lattice strains were measured by in situ synchrotron X-ray diffraction to address problems related to modeling the constitutive behavior of highly asymmetric ferroelectrics. The hkl-dependent strain measured by X-ray diffraction was found to be smaller relative to both bulk strain measured by conventional, contact-based techniques and elastically computed strain, and reasons for this inconsistency are discussed. A self-consistent model with capabilities of quantifying domain switching and estimating hkl-dependent strain is applied to allow a direct comparison with diffraction data. © 2012 The American Ceramic Society.


Noon C.,Iowa State University | Zhang R.,Iowa State University | Winer E.,Iowa State University | Oliver J.,Iowa State University | And 2 more authors.
Computers in Industry | Year: 2012

Currently, new product concepts are often evaluated by developing detailed virtual part and assembly models with traditional computer aided design (CAD) tools followed by appropriate analyses (e.g., finite element analysis, computational fluid dynamics, etc.). The creation of these models and analyses are tremendously time consuming. If a number of different conceptual configurations have been determined, it may not be possible to model and analyze each of them due to the complexity of these evaluation processes. Thus, promising concepts might be eliminated based solely on insufficient time and resources for assessment. In addition, the virtual models and analyses performed are usually of much higher detail and accuracy than what is needed for such early assessment. By eliminating the time-consuming complexity of a CAD environment and incorporating qualitative assessment tools, engineers could spend more time evaluating concepts that may have been previously abandoned due to time constraints. To address these issues, the Advanced Systems Design Suite (ASDS), was created. The ASDS incorporates a PC user interface with an immersive virtual reality (VR) environment to ease the creation and assessment of conceptual design prototypes individually or collaboratively in an immersive VR environment. Assessment tools incorporate metamodeling approximations and immersive visualization to evaluate the feasibility of each concept. In this paper, the ASDS system and interface along with specifically designed immersive VR assessment tools such as state saving and dynamic viewpoint creation are presented for conceptual large vehicle design. A test case example of redesigning an airplane is presented to explore the feasibility of the proposed system. © 2012 Elsevier B.V. All rights reserved.


Lopez R.D.,John Deere Moline Technology Innovation Center
Materials Evaluation | Year: 2012

A quantitative evaluation of the relative effect of various safety glasses on inspection sensitivity was performed. This work characterized lens transmission spectra, determined penetrant and magnetic particle test media fluorescent emission spectra, measured ultraviolet A radiation source emission spectra, and determined the effect of lens choice on the fluorescent luminance of typical test media. Experimental data showed that not all lenses are equal, and one amber lens allowed a greater amount of fluoresced light from indications through to the technician's eyes, compared to its clear counterpart.


Lopez R.D.,John Deere Moline Technology Innovation Center
Materials Evaluation | Year: 2013

Fluorescent detection media for nondestructive testing were originally designed around the mercury vapor lamp, but both the media and the types of excitation sources available have changed with time. Experiments were performed to determine if recent advancements in radiation sources offered improvement over mercury vapor excitation. Excitation spectra of fluorescent penetrants and magnetic particle detection media, as well as the emission spectra of common excitation radiation sources, were obtained; these were used to understand why an indication is brighter with a given exciter. Efficient excitation occurs when the output from an exciter corresponds well with the preference of a detection medium. This paper offers judgment regarding the optimal excitation source based on detection media brightness. Exciters were also evaluated by their maximum irradiance, illuminance, warm-up time, useful irradiance area and battery life.


Sahay S.S.,John Deere Asia Technology Innovation Center | El-Zein M.,John Deere Moline Technology Innovation Center
Surface Engineering | Year: 2011

The potential of residual stress engineering for developing leaner, greener, and safer design is discussed. The technique can be successfully employed at the design stage in the transportation sector and creates significant value by reducing the product's weight, cost, and carbon footprint. It is possible to estimate the compressive residual stresses in the carburized automotive gears or transmission components through residual stress engineering. The superposition of the compressive residual stresses on the externally applied load will result in overall reduction in stresses. Incorporation of residual stresses at the design stage for carburized gears will result in considerable weight reduction for a specified performance. These weight reduction and cost savings opportunities can also be used to create a more effective business case for the new processes, such as low pressure carburizing and gas quenching.


Sahay S.S.,John Deere Asia Technology Innovation Center | Mohapatra C.,John Deere Asia Technology Innovation Center | Caster R.,John Deere Moline Technology Innovation Center | Cuthy H.,John Deere Coffeyville Works
Advanced Materials and Processes | Year: 2014

Modern industrial heat treating operations have sophisticated IT architectures, where significant amounts of data in GB/TB per year are generated including characteristics of input material, process parameters and product quality are generated. For example, many surprises about process and product can emerge from process analysis and modeling, where the insight generated from this approach could directly impact product quality and design recommendations. In contrast, physics-based models can also lead to an optimum operating condition, which is far removed from current conditions. Physics-based models for heat treating operations incorporate mass and energy conservation, laws of heat transfer, metallurgical thermodynamics, and chemical reactions and kinetics. Because of the non- isothermal effect, accelerated annealing kinetics with a reduction in heating rate was observed through physics-based modeling and laboratory kinetics experiments.


Deshmukh V.,John Deere Asia Technology Innovation Center | Sahay S.,John Deere Asia Technology Innovation Center | Agrawal B.,John Deere Technology Center India | Padhan U.,John Deere Technology Center India | El-Zein M.,John Deere Moline Technology Innovation Center
SAE Technical Papers | Year: 2011

Induction hardening is an important heat treatment operation for a number of components, including shafts, crank-shafts, gears, and axles to improve wear and fatigue properties. These parts are widely used in automotive as well as off-highway vehicles. Induction hardening process comprises of two distinct steps, induction heating and quenching operation. It involves phenomenologically many overlapping complex processes such as temperature evolution, phase transformation, microstructure evolution and structural changes. Therefore, it is important to understand and quantify the aforementioned processes to avoid the residual stress and distortion in the component resulting from induction hardening. In the present work, a two step simulation methodology has been developed by coupling two commercial FEA softwares, based on electromagnetic and heat treatment simulations, respectively. This methodology enables accurate prediction of the temperature profile in the component during induction heating as well as the changes in temperature, phase transformation, microstructure, residual stress and distortion during the subsequent quenching step. In the present work, the coupled simulation exercise was carried out on a simple geometry (solid cylinder) as well as a complex geometry (ring gear). Thus, the obtained simulation results were validated with the experimental data and found to be in good agreement. The present study shows that an integrated methodology of solving induction hardening gives an opportunity to include large number of process information and providing precise prediction and thereby enables opportunity for process and design optimization. This presentation would detail on the overall approach, validation results and optimization possibility. Copyright © 2011 SAE International.

Loading John Deere Moline Technology Innovation Center collaborators
Loading John Deere Moline Technology Innovation Center collaborators