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Topological Optimization of Non-Pneumatic Unique Puncture-Proof Tire
System Spoke Design for Tire Performance
SAE International Journal of Passenger Vehicle Systems,
2023
DOI:10.4271/15-17-01-0001
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[2]
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Research Anthology on Cross-Disciplinary Designs and Applications of Automation
2022
DOI:10.4018/978-1-6684-3694-3.ch021
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[3]
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The pneumatic wheel model with plastic elements and force loss
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik,
2021
DOI:10.1002/zamm.202000091
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[4]
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The pneumatic wheel model with plastic elements and force loss
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik,
2021
DOI:10.1002/zamm.202000091
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[5]
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Development Of Regression Models To Measure Energy And Inflation Time Of A Fabricated Tyre Pressure Control Unit
International Journal of Automotive Science And Technology,
2021
DOI:10.30939/ijastech..927428
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[6]
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Development Of Regression Models To Measure Energy And Inflation Time Of A Fabricated Tyre Pressure Control Unit
International Journal of Automotive Science and Technology,
2021
DOI:10.30939/ijastech..927428
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[7]
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Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing
Advances in Business Information Systems and Analytics,
2020
DOI:10.4018/978-1-7998-2725-2.ch002
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[8]
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Innovative Material Characterisation Methodology for Tyre Static and Dynamic Analyses
SAE Technical Paper Series,
2020
DOI:10.4271/2020-01-1519
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[9]
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Exploring Neural Network to Predict Car Tyre Inflation Time and Power Requirement of a Tyre Pressure Control Unit.
Journal of Physics: Conference Series,
2019
DOI:10.1088/1742-6596/1378/3/032080
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[10]
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Prediction of the Tensile Response of Carbon Black Filled Rubber Blends by Artificial Neural Network
Polymers,
2018
DOI:10.3390/polym10060644
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[11]
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Neuro-Fuzzy Prediction of Cooperation Interaction Profile of Flexible Road Train Based on Hybrid Automaton Modeling
MATEC Web of Conferences,
2016
DOI:10.1051/matecconf/20168104012
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[12]
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FE-Based Tire Loading Estimation for Developing Strain-Based Intelligent Tire System
SAE Technical Paper Series,
2015
DOI:10.4271/2015-01-0627
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