Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–Backpropagation Article Swipe
Fandi Zeng
,
Hongwei Diao
,
Yinzeng Liu
,
D.H. Ji
,
Meiling Dou
,
Ji Cui
,
Zhihuan Zhao
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24165217
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24165217
There is a significant difference between the simulation effect and the actual effect in the design process of maize straw-breaking equipment due to the lack of accurate simulation model parameters in the breaking and processing of maize straw. This article used a combination of physical experiments, virtual simulation, and machine learning to calibrate the simulation parameters of maize straw. A bimodal-distribution discrete element model of maize straw was established based on the intrinsic and contact parameters measured via physical experiments. The significance analysis of the simulation parameters was conducted via the Plackett–Burman experiment. The Poisson ratio, shear modulus, and normal stiffness of the maize straw significantly impacted the peak compression force of the maize straw and steel plate. The steepest-climb test was carried out for the significance parameter, and the relative error between the peak compression force in the simulation test and the peak compression force in the physical test was used as the evaluation index. It was found that the optimal range intervals for the Poisson ratio, shear modulus, and normal stiffness of the maize straw were 0.32–0.36, 1.24 × 108–1.72 × 108 Pa, and 5.9 × 106–6.7 × 106 N/m3, respectively. Using the experimental data of the central composite design as the dataset, a GA–BP neural network prediction model for the peak compression force of maize straw was established, analyzed, and evaluated. The GA–BP prediction model’s accuracy was verified via experiments. It was found that the ideal combination of parameters was a Poisson ratio of 0.357, a shear modulus of 1.511 × 108 Pa, and a normal stiffness of 6.285 × 106 N/m3 for the maize straw. The results provide a basis for analyzing the damage mechanism of maize straw during the grinding process.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24165217
- https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184
- OA Status
- gold
- Cited By
- 2
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401510410
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401510410Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24165217Digital Object Identifier
- Title
-
Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–BackpropagationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-12Full publication date if available
- Authors
-
Fandi Zeng, Hongwei Diao, Yinzeng Liu, D.H. Ji, Meiling Dou, Ji Cui, Zhihuan ZhaoList of authors in order
- Landing page
-
https://doi.org/10.3390/s24165217Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184Direct OA link when available
- Concepts
-
Straw, Calibration, Stiffness, Mathematics, Discrete element method, Algorithm, Simulation, Structural engineering, Biological system, Materials science, Computer science, Engineering, Statistics, Mechanics, Chemistry, Biology, Physics, Inorganic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4401510410 |
|---|---|
| doi | https://doi.org/10.3390/s24165217 |
| ids.doi | https://doi.org/10.3390/s24165217 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39204915 |
| ids.openalex | https://openalex.org/W4401510410 |
| fwci | 0.81663987 |
| mesh[0].qualifier_ui | Q000737 |
| mesh[0].descriptor_ui | D003313 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | chemistry |
| mesh[0].descriptor_name | Zea mays |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D000465 |
| mesh[1].is_major_topic | True |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Algorithms |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D002138 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Calibration |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D016571 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Neural Networks, Computer |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D003198 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Computer Simulation |
| mesh[5].qualifier_ui | Q000737 |
| mesh[5].descriptor_ui | D003313 |
| mesh[5].is_major_topic | True |
| mesh[5].qualifier_name | chemistry |
| mesh[5].descriptor_name | Zea mays |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D000465 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Algorithms |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D002138 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Calibration |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D016571 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Neural Networks, Computer |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D003198 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Computer Simulation |
| mesh[10].qualifier_ui | Q000737 |
| mesh[10].descriptor_ui | D003313 |
| mesh[10].is_major_topic | True |
| mesh[10].qualifier_name | chemistry |
| mesh[10].descriptor_name | Zea mays |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D000465 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Algorithms |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D002138 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Calibration |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D016571 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Neural Networks, Computer |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D003198 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Computer Simulation |
| type | article |
| title | Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–Backpropagation |
| biblio.issue | 16 |
| biblio.volume | 24 |
| biblio.last_page | 5217 |
| biblio.first_page | 5217 |
| topics[0].id | https://openalex.org/T12282 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9926000237464905 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2210 |
| topics[0].subfield.display_name | Mechanical Engineering |
| topics[0].display_name | Mineral Processing and Grinding |
| topics[1].id | https://openalex.org/T12201 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9717000126838684 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2210 |
| topics[1].subfield.display_name | Mechanical Engineering |
| topics[1].display_name | Agricultural Engineering and Mechanization |
| topics[2].id | https://openalex.org/T11201 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9638000130653381 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2211 |
| topics[2].subfield.display_name | Mechanics of Materials |
| topics[2].display_name | Metallurgy and Material Forming |
| is_xpac | False |
| apc_list.value | 2400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2598 |
| apc_paid.value | 2400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2598 |
| concepts[0].id | https://openalex.org/C2779587293 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6337175369262695 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7622360 |
| concepts[0].display_name | Straw |
| concepts[1].id | https://openalex.org/C165838908 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5069472789764404 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q736777 |
| concepts[1].display_name | Calibration |
| concepts[2].id | https://openalex.org/C2779372316 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4743815064430237 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q569057 |
| concepts[2].display_name | Stiffness |
| concepts[3].id | https://openalex.org/C33923547 |
| concepts[3].level | 0 |
| concepts[3].score | 0.47204503417015076 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[3].display_name | Mathematics |
| concepts[4].id | https://openalex.org/C171872576 |
| concepts[4].level | 2 |
| concepts[4].score | 0.46647152304649353 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q902783 |
| concepts[4].display_name | Discrete element method |
| concepts[5].id | https://openalex.org/C11413529 |
| concepts[5].level | 1 |
| concepts[5].score | 0.41241738200187683 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[5].display_name | Algorithm |
| concepts[6].id | https://openalex.org/C44154836 |
| concepts[6].level | 1 |
| concepts[6].score | 0.40949106216430664 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q45045 |
| concepts[6].display_name | Simulation |
| concepts[7].id | https://openalex.org/C66938386 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4094276428222656 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q633538 |
| concepts[7].display_name | Structural engineering |
| concepts[8].id | https://openalex.org/C186060115 |
| concepts[8].level | 1 |
| concepts[8].score | 0.39827707409858704 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q30336093 |
| concepts[8].display_name | Biological system |
| concepts[9].id | https://openalex.org/C192562407 |
| concepts[9].level | 0 |
| concepts[9].score | 0.35225749015808105 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q228736 |
| concepts[9].display_name | Materials science |
| concepts[10].id | https://openalex.org/C41008148 |
| concepts[10].level | 0 |
| concepts[10].score | 0.2761930525302887 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[10].display_name | Computer science |
| concepts[11].id | https://openalex.org/C127413603 |
| concepts[11].level | 0 |
| concepts[11].score | 0.25588715076446533 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[11].display_name | Engineering |
| concepts[12].id | https://openalex.org/C105795698 |
| concepts[12].level | 1 |
| concepts[12].score | 0.25091099739074707 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[12].display_name | Statistics |
| concepts[13].id | https://openalex.org/C57879066 |
| concepts[13].level | 1 |
| concepts[13].score | 0.20298850536346436 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q41217 |
| concepts[13].display_name | Mechanics |
| concepts[14].id | https://openalex.org/C185592680 |
| concepts[14].level | 0 |
| concepts[14].score | 0.19783100485801697 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[14].display_name | Chemistry |
| concepts[15].id | https://openalex.org/C86803240 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[15].display_name | Biology |
| concepts[16].id | https://openalex.org/C121332964 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[16].display_name | Physics |
| concepts[17].id | https://openalex.org/C179104552 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q11165 |
| concepts[17].display_name | Inorganic chemistry |
| keywords[0].id | https://openalex.org/keywords/straw |
| keywords[0].score | 0.6337175369262695 |
| keywords[0].display_name | Straw |
| keywords[1].id | https://openalex.org/keywords/calibration |
| keywords[1].score | 0.5069472789764404 |
| keywords[1].display_name | Calibration |
| keywords[2].id | https://openalex.org/keywords/stiffness |
| keywords[2].score | 0.4743815064430237 |
| keywords[2].display_name | Stiffness |
| keywords[3].id | https://openalex.org/keywords/mathematics |
| keywords[3].score | 0.47204503417015076 |
| keywords[3].display_name | Mathematics |
| keywords[4].id | https://openalex.org/keywords/discrete-element-method |
| keywords[4].score | 0.46647152304649353 |
| keywords[4].display_name | Discrete element method |
| keywords[5].id | https://openalex.org/keywords/algorithm |
| keywords[5].score | 0.41241738200187683 |
| keywords[5].display_name | Algorithm |
| keywords[6].id | https://openalex.org/keywords/simulation |
| keywords[6].score | 0.40949106216430664 |
| keywords[6].display_name | Simulation |
| keywords[7].id | https://openalex.org/keywords/structural-engineering |
| keywords[7].score | 0.4094276428222656 |
| keywords[7].display_name | Structural engineering |
| keywords[8].id | https://openalex.org/keywords/biological-system |
| keywords[8].score | 0.39827707409858704 |
| keywords[8].display_name | Biological system |
| keywords[9].id | https://openalex.org/keywords/materials-science |
| keywords[9].score | 0.35225749015808105 |
| keywords[9].display_name | Materials science |
| keywords[10].id | https://openalex.org/keywords/computer-science |
| keywords[10].score | 0.2761930525302887 |
| keywords[10].display_name | Computer science |
| keywords[11].id | https://openalex.org/keywords/engineering |
| keywords[11].score | 0.25588715076446533 |
| keywords[11].display_name | Engineering |
| keywords[12].id | https://openalex.org/keywords/statistics |
| keywords[12].score | 0.25091099739074707 |
| keywords[12].display_name | Statistics |
| keywords[13].id | https://openalex.org/keywords/mechanics |
| keywords[13].score | 0.20298850536346436 |
| keywords[13].display_name | Mechanics |
| keywords[14].id | https://openalex.org/keywords/chemistry |
| keywords[14].score | 0.19783100485801697 |
| keywords[14].display_name | Chemistry |
| language | en |
| locations[0].id | doi:10.3390/s24165217 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S101949793 |
| locations[0].source.issn | 1424-8220 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1424-8220 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Sensors |
| locations[0].landing_page_url | https://doi.org/10.3390/s24165217 |
| locations[1].id | pmid:39204915 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Sensors (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39204915 |
| locations[2].id | pmh:oai:doaj.org/article:a0a2876981eb49ce8d63ebd663f6c791 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sensors, Vol 24, Iss 16, p 5217 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/a0a2876981eb49ce8d63ebd663f6c791 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11359212 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sensors (Basel) |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11359212 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5070327526 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5630-2580 |
| authorships[0].author.display_name | Fandi Zeng |
| authorships[0].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Fandi Zeng |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[1].author.id | https://openalex.org/A5094068058 |
| authorships[1].author.orcid | https://orcid.org/0009-0007-7461-9489 |
| authorships[1].author.display_name | Hongwei Diao |
| authorships[1].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Hongwei Diao |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[2].author.id | https://openalex.org/A5111287866 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Yinzeng Liu |
| authorships[2].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yinzeng Liu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[3].author.id | https://openalex.org/A5009628947 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7593-3513 |
| authorships[3].author.display_name | D.H. Ji |
| authorships[3].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Dong Ji |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[4].author.id | https://openalex.org/A5114206934 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Meiling Dou |
| authorships[4].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Meiling Dou |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[5].author.id | https://openalex.org/A5073581006 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Ji Cui |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I120379545 |
| authorships[5].affiliations[0].raw_affiliation_string | College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China |
| authorships[5].institutions[0].id | https://openalex.org/I120379545 |
| authorships[5].institutions[0].ror | https://ror.org/015d0jq83 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I120379545 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Inner Mongolia Agricultural University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Ji Cui |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China |
| authorships[6].author.id | https://openalex.org/A5114031382 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Zhihuan Zhao |
| authorships[6].affiliations[0].raw_affiliation_string | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Zhihuan Zhao |
| authorships[6].is_corresponding | True |
| authorships[6].raw_affiliation_strings | College of Mechanical and Electronic Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm–Backpropagation |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T12282 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9926000237464905 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2210 |
| primary_topic.subfield.display_name | Mechanical Engineering |
| primary_topic.display_name | Mineral Processing and Grinding |
| related_works | https://openalex.org/W2205760960, https://openalex.org/W2367726858, https://openalex.org/W2388368770, https://openalex.org/W3096664301, https://openalex.org/W2358558786, https://openalex.org/W2158119573, https://openalex.org/W2153383170, https://openalex.org/W2357029276, https://openalex.org/W2388757770, https://openalex.org/W2373575363 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/s24165217 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S101949793 |
| best_oa_location.source.issn | 1424-8220 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1424-8220 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.3390/s24165217 |
| primary_location.id | doi:10.3390/s24165217 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S101949793 |
| primary_location.source.issn | 1424-8220 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1424-8220 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1424-8220/24/16/5217/pdf?version=1723468184 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Sensors |
| primary_location.landing_page_url | https://doi.org/10.3390/s24165217 |
| publication_date | 2024-08-12 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3114754549, https://openalex.org/W3084078201, https://openalex.org/W6773195475, https://openalex.org/W3185254841, https://openalex.org/W4205103231, https://openalex.org/W3175640356, https://openalex.org/W4367040788, https://openalex.org/W2570473044, https://openalex.org/W4308198596, https://openalex.org/W4309705217, https://openalex.org/W4311785543, https://openalex.org/W4297107591, https://openalex.org/W4309903607, https://openalex.org/W4375855136, https://openalex.org/W4366711657, https://openalex.org/W4205635145, https://openalex.org/W2922302395, https://openalex.org/W4379051813, https://openalex.org/W4205897889, https://openalex.org/W4213117502, https://openalex.org/W4210504282, https://openalex.org/W4316371993, https://openalex.org/W6959519007, https://openalex.org/W4391945063, https://openalex.org/W3179430162, https://openalex.org/W3001694121, https://openalex.org/W2377785408, https://openalex.org/W3000411661 |
| referenced_works_count | 28 |
| abstract_inverted_index.A | 59 |
| abstract_inverted_index.a | 2, 41, 205, 243, 248, 257, 272 |
| abstract_inverted_index.It | 156, 233 |
| abstract_inverted_index.as | 152, 202 |
| abstract_inverted_index.in | 13, 30, 137, 146 |
| abstract_inverted_index.is | 1 |
| abstract_inverted_index.of | 17, 25, 35, 43, 56, 64, 83, 101, 111, 173, 197, 216, 240, 246, 251, 260, 279 |
| abstract_inverted_index.on | 70 |
| abstract_inverted_index.to | 22, 51 |
| abstract_inverted_index.× | 180, 182, 187, 189, 253, 262 |
| abstract_inverted_index.106 | 190, 263 |
| abstract_inverted_index.108 | 183, 254 |
| abstract_inverted_index.5.9 | 186 |
| abstract_inverted_index.Pa, | 184, 255 |
| abstract_inverted_index.The | 80, 93, 118, 224, 269 |
| abstract_inverted_index.and | 9, 33, 48, 73, 98, 115, 128, 141, 170, 185, 222, 256 |
| abstract_inverted_index.due | 21 |
| abstract_inverted_index.for | 124, 164, 211, 265, 274 |
| abstract_inverted_index.out | 123 |
| abstract_inverted_index.the | 6, 10, 14, 23, 31, 53, 71, 84, 90, 102, 107, 112, 125, 129, 133, 138, 142, 147, 153, 160, 165, 174, 194, 198, 203, 212, 237, 266, 276, 283 |
| abstract_inverted_index.via | 77, 89, 231 |
| abstract_inverted_index.was | 67, 87, 121, 150, 157, 219, 229, 234, 242 |
| abstract_inverted_index.1.24 | 179 |
| abstract_inverted_index.N/m3 | 264 |
| abstract_inverted_index.This | 38 |
| abstract_inverted_index.data | 196 |
| abstract_inverted_index.lack | 24 |
| abstract_inverted_index.peak | 108, 134, 143, 213 |
| abstract_inverted_index.test | 120, 140, 149 |
| abstract_inverted_index.that | 159, 236 |
| abstract_inverted_index.used | 40, 151 |
| abstract_inverted_index.were | 177 |
| abstract_inverted_index.1.511 | 252 |
| abstract_inverted_index.6.285 | 261 |
| abstract_inverted_index.N/m3, | 191 |
| abstract_inverted_index.There | 0 |
| abstract_inverted_index.Using | 193 |
| abstract_inverted_index.based | 69 |
| abstract_inverted_index.basis | 273 |
| abstract_inverted_index.error | 131 |
| abstract_inverted_index.force | 110, 136, 145, 215 |
| abstract_inverted_index.found | 158, 235 |
| abstract_inverted_index.ideal | 238 |
| abstract_inverted_index.maize | 18, 36, 57, 65, 103, 113, 175, 217, 267, 280 |
| abstract_inverted_index.model | 28, 63, 210 |
| abstract_inverted_index.range | 162 |
| abstract_inverted_index.ratio | 245 |
| abstract_inverted_index.shear | 96, 168, 249 |
| abstract_inverted_index.steel | 116 |
| abstract_inverted_index.straw | 66, 104, 114, 176, 218, 281 |
| abstract_inverted_index.0.357, | 247 |
| abstract_inverted_index.actual | 11 |
| abstract_inverted_index.damage | 277 |
| abstract_inverted_index.design | 15, 201 |
| abstract_inverted_index.during | 282 |
| abstract_inverted_index.effect | 8, 12 |
| abstract_inverted_index.index. | 155 |
| abstract_inverted_index.neural | 207 |
| abstract_inverted_index.normal | 99, 171, 258 |
| abstract_inverted_index.plate. | 117 |
| abstract_inverted_index.ratio, | 95, 167 |
| abstract_inverted_index.straw. | 37, 58, 268 |
| abstract_inverted_index.GA–BP | 206, 225 |
| abstract_inverted_index.Poisson | 94, 166, 244 |
| abstract_inverted_index.article | 39 |
| abstract_inverted_index.between | 5, 132 |
| abstract_inverted_index.carried | 122 |
| abstract_inverted_index.central | 199 |
| abstract_inverted_index.contact | 74 |
| abstract_inverted_index.element | 62 |
| abstract_inverted_index.machine | 49 |
| abstract_inverted_index.modulus | 250 |
| abstract_inverted_index.network | 208 |
| abstract_inverted_index.optimal | 161 |
| abstract_inverted_index.process | 16 |
| abstract_inverted_index.provide | 271 |
| abstract_inverted_index.results | 270 |
| abstract_inverted_index.virtual | 46 |
| abstract_inverted_index.accuracy | 228 |
| abstract_inverted_index.accurate | 26 |
| abstract_inverted_index.analysis | 82 |
| abstract_inverted_index.breaking | 32 |
| abstract_inverted_index.dataset, | 204 |
| abstract_inverted_index.discrete | 61 |
| abstract_inverted_index.grinding | 284 |
| abstract_inverted_index.impacted | 106 |
| abstract_inverted_index.learning | 50 |
| abstract_inverted_index.measured | 76 |
| abstract_inverted_index.modulus, | 97, 169 |
| abstract_inverted_index.physical | 44, 78, 148 |
| abstract_inverted_index.process. | 285 |
| abstract_inverted_index.relative | 130 |
| abstract_inverted_index.verified | 230 |
| abstract_inverted_index.106–6.7 | 188 |
| abstract_inverted_index.analyzed, | 221 |
| abstract_inverted_index.analyzing | 275 |
| abstract_inverted_index.calibrate | 52 |
| abstract_inverted_index.composite | 200 |
| abstract_inverted_index.conducted | 88 |
| abstract_inverted_index.equipment | 20 |
| abstract_inverted_index.intervals | 163 |
| abstract_inverted_index.intrinsic | 72 |
| abstract_inverted_index.mechanism | 278 |
| abstract_inverted_index.model’s | 227 |
| abstract_inverted_index.stiffness | 100, 172, 259 |
| abstract_inverted_index.108–1.72 | 181 |
| abstract_inverted_index.difference | 4 |
| abstract_inverted_index.evaluated. | 223 |
| abstract_inverted_index.evaluation | 154 |
| abstract_inverted_index.parameter, | 127 |
| abstract_inverted_index.parameters | 29, 55, 75, 86, 241 |
| abstract_inverted_index.prediction | 209, 226 |
| abstract_inverted_index.processing | 34 |
| abstract_inverted_index.simulation | 7, 27, 54, 85, 139 |
| abstract_inverted_index.combination | 42, 239 |
| abstract_inverted_index.compression | 109, 135, 144, 214 |
| abstract_inverted_index.established | 68 |
| abstract_inverted_index.experiment. | 92 |
| abstract_inverted_index.significant | 3 |
| abstract_inverted_index.simulation, | 47 |
| abstract_inverted_index.0.32–0.36, | 178 |
| abstract_inverted_index.established, | 220 |
| abstract_inverted_index.experimental | 195 |
| abstract_inverted_index.experiments, | 45 |
| abstract_inverted_index.experiments. | 79, 232 |
| abstract_inverted_index.significance | 81, 126 |
| abstract_inverted_index.respectively. | 192 |
| abstract_inverted_index.significantly | 105 |
| abstract_inverted_index.steepest-climb | 119 |
| abstract_inverted_index.straw-breaking | 19 |
| abstract_inverted_index.Plackett–Burman | 91 |
| abstract_inverted_index.bimodal-distribution | 60 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5114031382 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.64173 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |