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Land.Technik AgEng 2017 / Biomethane as tractor fuel – Opportunities for customer, manufacturer or climate
Land.Technik AgEng 2017 / Biomethane as tractor fuel – Opportunities for customer, manufacturer or climate
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Titelei/Inhaltsverzeichnis
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1–8
Plenary Session
1–8
75 Conferences on Agricultural Engineering – a great Period of Innovations – Highlights of a Success Story
K. T. Renius
K. T. Renius
Details
9–38
Electric Drives
9–38
9–14
Electrified Utility Tractor
W. Breu, B. Pichlmaier
W. Breu, B. Pichlmaier
9–14
Details
15–22
Battery electric autonomous agricultural machine – Simulation of all operations on a Swedish farm
J. Engström, O. Lagnelöf
J. Engström, O. Lagnelöf
15–22
Details
23–30
Electric traction drive on a plough – More power for the driveline
R. Bumberger, W. Klinger, D. Botev
R. Bumberger, W. Klinger, D. Botev
23–30
Details
31–38
Electrified Front-Wheel Drive Concepts for Tractors Designed for Improved Traction Functions
R. Himmelsbach, B. Volpert, K. Grad
R. Himmelsbach, B. Volpert, K. Grad
31–38
Details
39–78
Decision Support and Documentation
39–78
39–60
Automatic plant disease diagnosis using mobile capture devices
A. Johannes, M. Seitz
A. Johannes, M. Seitz
39–60
Details
61–66
Fully automated decision support for fungicide applications
M. Schikora, M. Tempel
M. Schikora, M. Tempel
61–66
Details
67–72
Real-time Smart Farming Services – Yield optimization of potato harvesting
W. Maaß, I. Shcherbatyi, S. Marquardt, A. Kritzner, B. Moser
W. Maaß, I. Shcherbatyi, S. Marquardt, A. Kritzner, B. Moser
67–72
Details
73–78
The Technical Concept of a Manufacturer-Independent Web-Based Data Exchange Platform for the Agricultural Sector
J. Sonnen, J. Möller
J. Sonnen, J. Möller
73–78
Details
79–98
Automation Technologies
79–98
79–84
Developing a User Interface for Controlling Swarm Technology
J. Krzywinski
J. Krzywinski
79–84
Details
85–92
Autonomous Agricultural Machines – The Next Evolution in Farming
C. Foster, J. Posselius, B. Lukac
C. Foster, J. Posselius, B. Lukac
85–92
Details
93–98
High Voltage OnBoard Networks – The AEF Power Interface is ready to become an ISO standard
H. Dietel
H. Dietel
93–98
Details
99–126
Combine Harvesters
99–126
99–104
Automatic Adjustments of Combine Harvesters
H. Vöcking, C. Heitmann, A. Wilken
H. Vöcking, C. Heitmann, A. Wilken
99–104
Details
105–110
Optimized material flow and cleaning capacity with new return pan system in a combine harvester
M. L. Bilde, T. T. Revsbeck
M. L. Bilde, T. T. Revsbeck
105–110
Details
111–116
Combine Harvester Concave Adjustment System – Independent adjustment of the concave inlet and outlet clearance
B. Broholm, A. Morrison
B. Broholm, A. Morrison
111–116
Details
117–126
Concept for Weed Seed Separation in Combine Harvesters Th. Leonhardt,
S. Pantke, C. Korn, T. Herlitzius, R. Zürn
S. Pantke, C. Korn, T. Herlitzius, R. Zürn
117–126
Details
127–148
Tractor Systems and Components
127–148
127–134
The CLAAS AXION 900 TERRA TRAC Product Range – Benefits of the CLAAS Axion 900 halftrack tractor concept Hartmann equipped with CLAAS Big Driver Terra Trac
F. Haussmann, R. Obermeier-
F. Haussmann, R. Obermeier-
127–134
Details
135–142
The Potential of CVTs in Tracked Tractors around 400 hp
S. Krieger, E. Schnur, M. M. Brenninger
S. Krieger, E. Schnur, M. M. Brenninger
135–142
Details
143–148
Development of an Intelligent Stretch Brake System
C. Ehlert, L. Erger
C. Ehlert, L. Erger
143–148
Details
149–174
Data Management and Simulation Concepts
149–174
149–156
Real-time View and Documentation of Manufacturer Independent Machine Data
J. Schroeter, W. Angermair, S. Pauli
J. Schroeter, W. Angermair, S. Pauli
149–156
Details
157–164
A multilevel simulation framework for highly automated harvest processes enabled by environmental sensor systems
J. Redenius, M. Dingwerth, A. Ruckelshausen, J. Hertzberg, T. Krause, B. Kettelhoit
J. Redenius, M. Dingwerth, A. Ruckelshausen, J. Hertzberg, T. Krause, B. Kettelhoit
157–164
Details
165–174
Reference Data and Collaborative Identifier Sharing in Agricultural Field Operations
B. E. Craker, R. A. Ferreyra, C. Graumans, U. Kaempf, M. Nachtmann, S. T. Rhea, F. Schuster, J. A. Wilson
B. E. Craker, R. A. Ferreyra, C. Graumans, U. Kaempf, M. Nachtmann, S. T. Rhea, F. Schuster, J. A. Wilson
165–174
Details
175–198
Efficiency of Drives
175–198
175–184
Efficiency Optimisation of a Forestry Crane by Implement Hydraulics with Energy Recovery
C. Geiger, M. Geimer
C. Geiger, M. Geimer
175–184
Details
185–190
Holistic Tractor Setup and Optimization System – CLAAS Electronic Machine Optimization for the Tractor
L. Meyer, P. Noyer
L. Meyer, P. Noyer
185–190
Details
191–198
Model-in-the-Loop Tuning of Hitch Control Systems of Agricultural Tractors
T. H. Langer
T. H. Langer
191–198
Details
199–226
Grain Process Simulation
199–226
199–210
Coupled CFD-DEM simulation of separation process in combine harvester cleaning devices
C. Korn, T. Herlitzius
C. Korn, T. Herlitzius
199–210
Details
211–218
A new discrete element model (DEM) for maize
Á. Kovács, I. J. Jóri, G. Kerényi
Á. Kovács, I. J. Jóri, G. Kerényi
211–218
Details
219–226
Modelling method for analyzing grain harvesting concepts
F. Peters, H. Korte, R. Bölling
F. Peters, H. Korte, R. Bölling
219–226
Details
227–254
CO2 Emissions
227–254
227–236
Telematics and Big Data Analytics – An Effective Way to Quantify Fuel Saving Potentials – A Proof of Concept by the Joint Research Project EKoTech
B. Köber-Fleck, P. Ahlbrand, S. Böttinger, H. Korte
B. Köber-Fleck, P. Ahlbrand, S. Böttinger, H. Korte
227–236
Details
237–244
Development of energy requirements of tractors and implements
J. Schwehn, S. Häberle, S. Böttinger
J. Schwehn, S. Häberle, S. Böttinger
237–244
Details
245–254
Advancement of the Hohenheim Tractor Model – Adaption on current demands
A. Meiners, S. Häberle, S. Böttinger
A. Meiners, S. Häberle, S. Böttinger
245–254
Details
255–290
Vehicle Dynamics
255–290
255–262
Definition of a test method to evaluate vibrations acting on a tractor driver
J. Karner, C. Danner, A. Kerschbaumer, H. Prankl
J. Karner, C. Danner, A. Kerschbaumer, H. Prankl
255–262
Details
263–272
Driving comfort analysis of an agricultural tractor with the Hohenheim Tyre Model on complex tracks
A. Bürger, S. Böttinger
A. Bürger, S. Böttinger
263–272
Details
273–280
Control concepts for ride comfort improvements of harvesting machines with large headers
B. Jung, B. Miller, T. Herlitzius
B. Jung, B. Miller, T. Herlitzius
273–280
Details
281–290
Evaluation of a Suspension Concept of a Hydropneumatic Full Suspended Tractor with Focus on the Dymnamics in Combination with Implements
M. Sieting, J. Krüger, H. J. Meyer
M. Sieting, J. Krüger, H. J. Meyer
281–290
Details
291–322
Drives
291–322
291–296
Efficient development by automatic calibration of tractor transmission control units
C. Körtgen, G. Morandi, G. Jacobs, A. Kramer
C. Körtgen, G. Morandi, G. Jacobs, A. Kramer
291–296
Details
297–302
Determining saving potentials in a tractor drivetrain using a simulation model and measured operating data
K. Ritters, P. Winkelhahn, L. Frerichs, B. Kriebel
K. Ritters, P. Winkelhahn, L. Frerichs, B. Kriebel
297–302
Details
303–314
Testing and Benchmarking a Powertrain with Independent Wheel Control for Heavy Machinery
D. Engelmann, M. R. Unger, M. Geimer
D. Engelmann, M. R. Unger, M. Geimer
303–314
Details
315–322
Development of a high performance continuously variable drive for mobile agricultural and construction machinery
F. Hantschack, R. Rahmfeld, J. Bagusch, A. Meyer, E. Dohm
F. Hantschack, R. Rahmfeld, J. Bagusch, A. Meyer, E. Dohm
315–322
Details
323–354
Automation in Seeding Systems
323–354
323–328
Counting seeds in air seeders zu Hoberge,
S. Meyer, M. Liebich, P. Martella
S. Meyer, M. Liebich, P. Martella
323–328
Details
329–336
Defining the dynamic performance of a no-till seeder by measuring the geo-referenced seeding depth
G. M. Sharipov, D. S. Paraforos, H. W. Griepentrog, C. Gall
G. M. Sharipov, D. S. Paraforos, H. W. Griepentrog, C. Gall
329–336
Details
337–344
Reasons of irregularity of seed’s distribution in the divider heads of air-seeders
A. Yatskul, J.-P. Lemiere
A. Yatskul, J.-P. Lemiere
337–344
Details
345–354
Development and Utilization of a Planter Automatic Downforce Evaluation Test Stand to quantify System Response and Accuracy
A. Sharda, R. Strasser, M. Rothmund
A. Sharda, R. Strasser, M. Rothmund
345–354
Details
355–390
Technologies for Renewable Energy
355–390
355–366
Biomethane as tractor fuel – Opportunities for customer, manufacturer or climate
P. Hannukainen, R. Åman
P. Hannukainen, R. Åman
355–366
Details
367–374
Conventional and Novel, New Approaches to Creating High-Density Biomass Bales
K. J. Shinners, J. C. Friede, J. R. McAfee, D. E. Flick, N. C. Lacy, C. M. Nigon
K. J. Shinners, J. C. Friede, J. R. McAfee, D. E. Flick, N. C. Lacy, C. M. Nigon
367–374
Details
375–382
New Techniques for Mobile Pelletisation
K. Lüpping
K. Lüpping
375–382
Details
383–390
Field performance of a novel mower-chipper for the harvest of short rotation coppices
R. Pecenka, D. Ehlert, T. Hoffmann
R. Pecenka, D. Ehlert, T. Hoffmann
383–390
Details
391–422
Tractor Tests and Emissions
391–422
391–398
Real driving emissions of tractors during field work and on the test stand
J. Ettl, H. Bernhardt, K. Thuneke, E. Remmele, P. Emberger, G. Huber
J. Ettl, H. Bernhardt, K. Thuneke, E. Remmele, P. Emberger, G. Huber
391–398
Details
399–406
Efficiency Optimization by Using “Vehicle in the Loop” Test Methodology
W. Stark, C. Pieke
W. Stark, C. Pieke
399–406
Details
407–416
Agricultural Tire Energy Efficiency test method and dedicated equipment to measure the fuel consumption and traction of agricultural tires under real field conditions
K. Szalay, L. Kovács, G. Bércesi, I. Oldal, E. Piron, J. Charlat, T. Joly, C. Poncet, F. Tran
K. Szalay, L. Kovács, G. Bércesi, I. Oldal, E. Piron, J. Charlat, T. Joly, C. Poncet, F. Tran
407–416
Details
417–422
Field test validation as part of the development of a narrow track tractor
J. Mengele
J. Mengele
417–422
Details
423–452
Traction
423–452
423–430
Integrated wheel load measurement for tractors
M. Peeters, V. Kloster, T. Fedde, L. Frerichs
M. Peeters, V. Kloster, T. Fedde, L. Frerichs
423–430
Details
431–438
A Traction Field Test – Real Time Tire Soil Parameters of a Tractor in Tillage Applications
J. Wieckhorst, T. Fedde, L. Frerichs
J. Wieckhorst, T. Fedde, L. Frerichs
431–438
Details
439–446
Influence of the Drive Train and Chassis on Power Shift Operations in Standard Tractors
C. Birkmann, T. Fedde, L. Frerichs
C. Birkmann, T. Fedde, L. Frerichs
439–446
Details
447–452
‘2 in 1 tire’ technology to allow maximal efficiency of the transmission chain in both road and field usage
P. Vervaet, M. Gandillet
P. Vervaet, M. Gandillet
447–452
Details
453–484
Communication and Information Technologies
453–484
453–460
Redundant Communication in Daisy Chains for Improved Diagnostics and System Reliability in Seeders and Planters
M. Rothmund, S. Villwock, P. Pollinger
M. Rothmund, S. Villwock, P. Pollinger
453–460
Details
461–468
Extending ISO 11783 for four wheel steering and implement steering
T. Oksanen
T. Oksanen
461–468
Details
469–476
ISOBUS Automation – On the Road to TIM – How to secure liability for open TIM systems
G. Happich, H. J. Nissen
G. Happich, H. J. Nissen
469–476
Details
477–484
Challenges of digital revolution – How the AEF plans to manage interoperability
N. Schlingmann, H. Schallermayer, J. Witte, C. Gossard
N. Schlingmann, H. Schallermayer, J. Witte, C. Gossard
477–484
Details
485–512
Harvesting Technologies
485–512
485–490
Design of Laboratory Environment for Development of Cleaning System Automation
D. Hermann, F. Schøler, M. L. Bilde, N. A. Andersen, O. Ravn
D. Hermann, F. Schøler, M. L. Bilde, N. A. Andersen, O. Ravn
485–490
Details
491–496
Online determination of hectolitre mass during threshing by analyzing air-filled pore volume in grain fills
J. Berberich, M. Huth, A. Feiffer, R. Tölle, U. Schmidt
J. Berberich, M. Huth, A. Feiffer, R. Tölle, U. Schmidt
491–496
Details
497–504
A hand-held measuring device for identifying the sharpness of knives in agricultural machinery
K. Wild, T. Schmiedel, D. Geißler, J. Rottmeier
K. Wild, T. Schmiedel, D. Geißler, J. Rottmeier
497–504
Details
505–512
4-row potato harvester based on a mirrored product flow concept
D.-J. Stapel
D.-J. Stapel
505–512
Details
513–536
Methods
513–536
513–520
Calculation of the losses in series-hybrid powertrains
R. Schmetz
R. Schmetz
513–520
Details
521–528
Method for load-based evaluation of machines using the example of a tractor
F. Balbach, E. Nacke, S. Böttinger
F. Balbach, E. Nacke, S. Böttinger
521–528
Details
529–536
Predict the unpredictable – Benefits and limits of machine data analytics and component health prediction
D. Hast, B. Rosenbaum
D. Hast, B. Rosenbaum
529–536
Details
537–558
Information Systems
537–558
537–544
Tablet App to control safety critical functions on farming machines
K. Oetzel
K. Oetzel
537–544
Details
545–552
On-line monitoring of nutrients (NPK) in liquid manure by a nuclear magnetic resonance (NMR) sensor installed at a slurry spreader
M. K. Sørensen, M. Beyer, O. Jensen, O. N. Bakharev, N. C. Nielsen, T. Nyord
M. K. Sørensen, M. Beyer, O. Jensen, O. N. Bakharev, N. C. Nielsen, T. Nyord
545–552
Details
553–558
STEP-Water: Information Tool on Sprayer Technology for Water Protection – A way to support sustainable and socially acceptable chemical application
P. Hloben, J. C. Rousseau, T. Bals, I. Hostens, P. Balsari, M. Röttele, S. Rutherford
P. Hloben, J. C. Rousseau, T. Bals, I. Hostens, P. Balsari, M. Röttele, S. Rutherford
553–558
Details
559–582
Tillage and Spraying
559–582
559–566
A system for online control of a rotary harrow using soil Nurscher, roughness detection based on stereo vision
P. Riegler-, J. Karner, J. Huber, G. Moitzi, H. Wagentristl, M. Hofinger, H. Prankl
P. Riegler-, J. Karner, J. Huber, G. Moitzi, H. Wagentristl, M. Hofinger, H. Prankl
559–566
Details
567–574
Development of a tillage-machine for seed-bed cultivation of heavy soils
M. Marsel, T. Bögel, T. Herlitzius, B. Neunkirchen, H. Eidam, T. Sander
M. Marsel, T. Bögel, T. Herlitzius, B. Neunkirchen, H. Eidam, T. Sander
567–574
Details
575–582
Development of a Sprayer Performance Diagnostic Tool for Better Management Practices of In-Field Spraying Operations
C. A. Shearer, J. D. Luck, J. T. Evans
C. A. Shearer, J. D. Luck, J. T. Evans
575–582
Details
583–604
Data Management and Exchange
583–604
583–590
Sensor study to identify process characteristics of crop and air flow in a combine harvester
T. Herlitzius, R. Hübner, A. Günther, C. Korn, S. Kirstein, S. Müller, J. Miunske
T. Herlitzius, R. Hübner, A. Günther, C. Korn, S. Kirstein, S. Müller, J. Miunske
583–590
Details
591–598
Material and Distribution Sensor (MADS) for Combine Material Flow – How to design and build a low-cost material sensor
N. Butts, B. Schleusner, M. Bremer
N. Butts, B. Schleusner, M. Bremer
591–598
Details
599–604
Computer based Control of the Separation Process in a Combine Harvester
D. Hermann, F. Schøler, M. L. Bilde, N. A. Andersen, O. Ravn
D. Hermann, F. Schøler, M. L. Bilde, N. A. Andersen, O. Ravn
599–604
Details
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Land.Technik AgEng 2017 , page 355 - 366
Biomethane as tractor fuel – Opportunities for customer, manufacturer or climate
Autoren
P. Hannukainen
R. Åman
DOI
doi.org/10.51202/9783181023006-355
ISBN print: 978-3-18-092300-0
ISBN online: 978-3-18-102300-6
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doi.org/10.51202/9783181023006-355
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