Pub Date : 2023-06-19DOI: 10.3389/fmech.2023.1204659
Jian Wang, Lin Chen, Ying Tang, Zhifan Chen, Qingsong Wu, Dandan Han
Zanthoxylum bungeanum is a characteristic spice in culinary culture. This article focuses on the lack of intrinsic and contact parameters for Zanthoxylum bungeanum and studies the intrinsic parameters of the discrete element for tribute pepper from Hanyuan. This is to provide support for the mechanized harvesting of Zanthoxylum bungeanum. The EDEM software was used to establish a discrete element model for Zanthoxylum bungeanum granules. The intrinsic parameters of Zanthoxylum bungeanum granules, such as Three-dimensional dimension, density, Poisson’s ratio, and elastic modulus, were measured through experiments. The elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and Dragon Skin 30 silicone sheets were also measured. Subsequently, the elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and materials, as well as between Zanthoxylum bungeanum granules were obtained through discrete element simulation experiments, steepest climb test, and Quadratic regression orthogonal rotation combination test. Finally, the Angle of repose was used for verification experiments. The results showed that the elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and materials were 0.437, 0.758, and 0.0136, respectively, while those between Zanthoxylum bungeanum granules were 0.378, 0.56, and 0.0143, respectively. The error between the simulation angle of repose and the measured angle of repose was 0.204%, verifying the reliability of the discrete element model for Zanthoxylum bungeanum granules. This method is of great significance for the design and optimization of Zanthoxylum bungeanum harvesters.
{"title":"Calibration and experiment of discrete element model parameters of Zanthoxylum bungeanum","authors":"Jian Wang, Lin Chen, Ying Tang, Zhifan Chen, Qingsong Wu, Dandan Han","doi":"10.3389/fmech.2023.1204659","DOIUrl":"https://doi.org/10.3389/fmech.2023.1204659","url":null,"abstract":"Zanthoxylum bungeanum is a characteristic spice in culinary culture. This article focuses on the lack of intrinsic and contact parameters for Zanthoxylum bungeanum and studies the intrinsic parameters of the discrete element for tribute pepper from Hanyuan. This is to provide support for the mechanized harvesting of Zanthoxylum bungeanum. The EDEM software was used to establish a discrete element model for Zanthoxylum bungeanum granules. The intrinsic parameters of Zanthoxylum bungeanum granules, such as Three-dimensional dimension, density, Poisson’s ratio, and elastic modulus, were measured through experiments. The elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and Dragon Skin 30 silicone sheets were also measured. Subsequently, the elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and materials, as well as between Zanthoxylum bungeanum granules were obtained through discrete element simulation experiments, steepest climb test, and Quadratic regression orthogonal rotation combination test. Finally, the Angle of repose was used for verification experiments. The results showed that the elastic recovery coefficient, static friction coefficient, and rolling friction coefficient between Zanthoxylum bungeanum granules and materials were 0.437, 0.758, and 0.0136, respectively, while those between Zanthoxylum bungeanum granules were 0.378, 0.56, and 0.0143, respectively. The error between the simulation angle of repose and the measured angle of repose was 0.204%, verifying the reliability of the discrete element model for Zanthoxylum bungeanum granules. This method is of great significance for the design and optimization of Zanthoxylum bungeanum harvesters.","PeriodicalId":48635,"journal":{"name":"Frontiers of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42271077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.3389/fmech.2023.1201068
Sasanka Katreddi, Arvind Thiruvengadam, G. Thompson, N. Schmid, V. Padmanaban
The maintenance costs can represent about 15%–60% of the cost of produced goods depending on the type of goods transported. To comply with stringent emissions regulations, diesel engines are incorporated with complex after-treatment systems that demand increased maintenance. The availability of alternative fuels such as natural gas and propane has fostered the natural gas and propane powertrain systems as well as electrification options for heavy- and medium-duty vehicles. A critical barrier to adopting alternative fuel vehicles has been the lack of knowledge on comparative vehicle maintenance/repair costs with conventional diesel. Moreover, the region of operation, the type of vehicle operation, and seasonal temperature changes also affect the duty cycle which impacts the maintenance and repair costs. This study focuses on estimating the cost-per-mile for heavy-duty vehicles using machine learning models such as random forest, xgboost, neural networks, and a super-learner model. The super-learner model achieved an error as low as 0.0068 $/mile for mean absolute error and 0.0086 $/mile for root mean square error with a coefficient of determination/R-Squared of 97.28%. Specifically, the paper investigates the data collected from the maintenance and repair costs associated with delivery trucks using diesel and natural gas fuels. Since the availability of data is the major constraint, we leveraged the data collected by West Virginia University and the partnership with fleet companies. This allows for additional information related to maintenance costs and fleet-specific maintenance practices of alternative fuel vehicles. This study promotes clean fuel technologies and enables fleet management companies to adopt alternative fuel vehicles in case of similar or lower cost of maintenance compared to diesel vehicles resulting in reduced emissions and total cost of ownership.
{"title":"Machine learning models for maintenance cost estimation in delivery trucks using diesel and natural gas fuels","authors":"Sasanka Katreddi, Arvind Thiruvengadam, G. Thompson, N. Schmid, V. Padmanaban","doi":"10.3389/fmech.2023.1201068","DOIUrl":"https://doi.org/10.3389/fmech.2023.1201068","url":null,"abstract":"The maintenance costs can represent about 15%–60% of the cost of produced goods depending on the type of goods transported. To comply with stringent emissions regulations, diesel engines are incorporated with complex after-treatment systems that demand increased maintenance. The availability of alternative fuels such as natural gas and propane has fostered the natural gas and propane powertrain systems as well as electrification options for heavy- and medium-duty vehicles. A critical barrier to adopting alternative fuel vehicles has been the lack of knowledge on comparative vehicle maintenance/repair costs with conventional diesel. Moreover, the region of operation, the type of vehicle operation, and seasonal temperature changes also affect the duty cycle which impacts the maintenance and repair costs. This study focuses on estimating the cost-per-mile for heavy-duty vehicles using machine learning models such as random forest, xgboost, neural networks, and a super-learner model. The super-learner model achieved an error as low as 0.0068 $/mile for mean absolute error and 0.0086 $/mile for root mean square error with a coefficient of determination/R-Squared of 97.28%. Specifically, the paper investigates the data collected from the maintenance and repair costs associated with delivery trucks using diesel and natural gas fuels. Since the availability of data is the major constraint, we leveraged the data collected by West Virginia University and the partnership with fleet companies. This allows for additional information related to maintenance costs and fleet-specific maintenance practices of alternative fuel vehicles. This study promotes clean fuel technologies and enables fleet management companies to adopt alternative fuel vehicles in case of similar or lower cost of maintenance compared to diesel vehicles resulting in reduced emissions and total cost of ownership.","PeriodicalId":48635,"journal":{"name":"Frontiers of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46600822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-07DOI: 10.3389/fmech.2023.1204893
A. M. Ragab, E. Mahdi, K. Oosterhuis, A. Dean, J. Cabibihan
3D printing technology is the new frontier in building construction. It is especially useful for making small structures within a short period. Full construction, including interior partitions and exterior façades, can be achieved with this technology. This paper proposes a parametric Voronoi tessellations model for quickly generating and fabricating 3D-printed hexagonal honeycomb partitions for interior design. Comprehensive experimental testing was conducted to characterize the mechanical properties and investigate the energy absorption characteristics of the proposed 3D-printed hexagonal honeycomb while comparing it to alternative hexagonal honeycomb structures. The tests included tensile testing (ASTM-D638) of the printed Polylactic Acid (PLA) material, especially with the almost total absence of conducted research that reported mechanical properties for 3D printed material with low infill percentages such as 10%. In addition, an in-plane quasi-static axial compression testing of the lightweight honeycomb structures was also conducted on the printed structure with the same low infill percentage. Compared to non-Voronoi honeycomb structures, the Voronoi honeycomb resulted in superior mechanical and energy absorption properties with energy absorption values ranging from 350 to 435 J and crash force efficiency being 1.42 to 1.65.
{"title":"Mechanical and energy absorption properties of 3D-printed honeycomb structures with Voronoi tessellations","authors":"A. M. Ragab, E. Mahdi, K. Oosterhuis, A. Dean, J. Cabibihan","doi":"10.3389/fmech.2023.1204893","DOIUrl":"https://doi.org/10.3389/fmech.2023.1204893","url":null,"abstract":"3D printing technology is the new frontier in building construction. It is especially useful for making small structures within a short period. Full construction, including interior partitions and exterior façades, can be achieved with this technology. This paper proposes a parametric Voronoi tessellations model for quickly generating and fabricating 3D-printed hexagonal honeycomb partitions for interior design. Comprehensive experimental testing was conducted to characterize the mechanical properties and investigate the energy absorption characteristics of the proposed 3D-printed hexagonal honeycomb while comparing it to alternative hexagonal honeycomb structures. The tests included tensile testing (ASTM-D638) of the printed Polylactic Acid (PLA) material, especially with the almost total absence of conducted research that reported mechanical properties for 3D printed material with low infill percentages such as 10%. In addition, an in-plane quasi-static axial compression testing of the lightweight honeycomb structures was also conducted on the printed structure with the same low infill percentage. Compared to non-Voronoi honeycomb structures, the Voronoi honeycomb resulted in superior mechanical and energy absorption properties with energy absorption values ranging from 350 to 435 J and crash force efficiency being 1.42 to 1.65.","PeriodicalId":48635,"journal":{"name":"Frontiers of Mechanical Engineering","volume":"9 1","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41466025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1007/s11465-022-0740-0
Yifan Wu, Sheng Guo, Luquan Li, Lianzheng Niu, Xiao Li
{"title":"Design of a novel side-mounted leg mechanism with high flexibility for a multi-mission quadruped earth rover BJTUBOT","authors":"Yifan Wu, Sheng Guo, Luquan Li, Lianzheng Niu, Xiao Li","doi":"10.1007/s11465-022-0740-0","DOIUrl":"https://doi.org/10.1007/s11465-022-0740-0","url":null,"abstract":"","PeriodicalId":48635,"journal":{"name":"Frontiers of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48621546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1007/s11465-023-0749-z
Xuning Zhang, Xingyue Liu, Yifan Huang, Bo Sun, Zhiyong Liu, G. Liao, T. Shi
{"title":"Review on flexible perovskite photodetector: processing and applications","authors":"Xuning Zhang, Xingyue Liu, Yifan Huang, Bo Sun, Zhiyong Liu, G. Liao, T. Shi","doi":"10.1007/s11465-023-0749-z","DOIUrl":"https://doi.org/10.1007/s11465-023-0749-z","url":null,"abstract":"","PeriodicalId":48635,"journal":{"name":"Frontiers of Mechanical Engineering","volume":" ","pages":""},"PeriodicalIF":4.5,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46311563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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