Design and simulation of a PLC-controlled omni wheel conveyor sorting system for high-speed material handling Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1038/s41598-025-13164-3
This study proposes a PLC-controlled omni wheel conveyor sorting system designed to address limitations in traditional sorting mechanisms by integrating barcode-based classification with high-speed and adaptable sorting capabilities. The system utilizes a Siemens S7-1200 PLC, omni wheels, a barcode scanner, and a conveyor motor to achieve precise, flexible, and efficient material handling. Mathematical analysis validated the system’s structural integrity, with deflections under $$0.009 \, \text {mm}$$ , and operational efficiency, including a roller speed of $$35.46 \, \text {RPM}$$ to support a throughput of 2000 objects per hour at a conveyor speed of $$0.167 \, \text {m/s}$$ . Simulations conducted in Factory IO achieved a sorting accuracy of $$98\%$$ , demonstrating the seamless synchronization of barcode scanning and sorting operations through deterministic ladder logic. The omni wheels provided multidirectional flexibility, reducing energy losses and enabling rapid redirection of objects. Compared to reinforcement learning-based approaches, the proposed system offers simplicity, cost-effectiveness, and ease of implementation without compromising accuracy or scalability. However, the simulations assumed ideal conditions, and limitations such as environmental factors, dynamic loading, and real-world scalability remain unaddressed. Future research could explore integrating IoT-enabled monitoring, hybrid control strategies, and dynamic adaptability to enhance performance in complex industrial environments. The results highlight the potential of this system to revolutionize material handling across manufacturing, logistics, and e-commerce sectors.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-13164-3
- https://www.nature.com/articles/s41598-025-13164-3.pdf
- OA Status
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- 12
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4414706460Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41598-025-13164-3Digital Object Identifier
- Title
-
Design and simulation of a PLC-controlled omni wheel conveyor sorting system for high-speed material handlingWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
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2025-10-01Full publication date if available
- Authors
-
Ritesh Bhat, Shilpa Suresh, D. Devakumar, K. R. Subramanian, D. Dhanush, S. KrishnanList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-13164-3Publisher landing page
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https://www.nature.com/articles/s41598-025-13164-3.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-025-13164-3.pdfDirect OA link when available
- Cited by
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0Total citation count in OpenAlex
- References (count)
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12Number of works referenced by this work
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| abstract_inverted_index.flexible, | 48 |
| abstract_inverted_index.handling. | 52 |
| abstract_inverted_index.highlight | 201 |
| abstract_inverted_index.including | 71 |
| abstract_inverted_index.potential | 203 |
| abstract_inverted_index.validated | 55 |
| abstract_inverted_index.e-commerce | 215 |
| abstract_inverted_index.high-speed | 24 |
| abstract_inverted_index.industrial | 197 |
| abstract_inverted_index.integrity, | 59 |
| abstract_inverted_index.logistics, | 213 |
| abstract_inverted_index.mechanisms | 18 |
| abstract_inverted_index.operations | 120 |
| abstract_inverted_index.real-world | 175 |
| abstract_inverted_index.structural | 58 |
| abstract_inverted_index.system’s | 57 |
| abstract_inverted_index.throughput | 83 |
| abstract_inverted_index.IoT-enabled | 184 |
| abstract_inverted_index.Simulations | 99 |
| abstract_inverted_index.approaches, | 144 |
| abstract_inverted_index.conditions, | 165 |
| abstract_inverted_index.deflections | 61 |
| abstract_inverted_index.efficiency, | 70 |
| abstract_inverted_index.integrating | 20, 183 |
| abstract_inverted_index.limitations | 14, 167 |
| abstract_inverted_index.monitoring, | 185 |
| abstract_inverted_index.operational | 69 |
| abstract_inverted_index.performance | 194 |
| abstract_inverted_index.redirection | 137 |
| abstract_inverted_index.scalability | 176 |
| abstract_inverted_index.simplicity, | 149 |
| abstract_inverted_index.simulations | 162 |
| abstract_inverted_index.strategies, | 188 |
| abstract_inverted_index.traditional | 16 |
| abstract_inverted_index.Mathematical | 53 |
| abstract_inverted_index.adaptability | 191 |
| abstract_inverted_index.compromising | 156 |
| abstract_inverted_index.flexibility, | 130 |
| abstract_inverted_index.scalability. | 159 |
| abstract_inverted_index.unaddressed. | 178 |
| abstract_inverted_index.barcode-based | 21 |
| abstract_inverted_index.capabilities. | 28 |
| abstract_inverted_index.demonstrating | 111 |
| abstract_inverted_index.deterministic | 122 |
| abstract_inverted_index.environmental | 170 |
| abstract_inverted_index.environments. | 198 |
| abstract_inverted_index.reinforcement | 142 |
| abstract_inverted_index.revolutionize | 208 |
| abstract_inverted_index.PLC-controlled | 5 |
| abstract_inverted_index.classification | 22 |
| abstract_inverted_index.implementation | 154 |
| abstract_inverted_index.learning-based | 143 |
| abstract_inverted_index.manufacturing, | 212 |
| abstract_inverted_index.synchronization | 114 |
| abstract_inverted_index.multidirectional | 129 |
| abstract_inverted_index.cost-effectiveness, | 150 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5000528488 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I164861460 |
| citation_normalized_percentile.value | 0.60884508 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |