Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.10030657
M. Safa, M. Ahmadi, Javad Mehrmashadi, D. Petković, Mohammad Mohammadhassani, Y. Zandi, Yadollah Sedghi
{"title":"Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique","authors":"M. Safa, M. Ahmadi, Javad Mehrmashadi, D. Petković, Mohammad Mohammadhassani, Y. Zandi, Yadollah Sedghi","doi":"10.1504/ijhm.2020.10030657","DOIUrl":"https://doi.org/10.1504/ijhm.2020.10030657","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.10032567
B. Dubey, E. Windhab, S. Nahar
{"title":"Doppler ultrasound flow measurement of non-parallel velocity fields in a deformed elastic tube","authors":"B. Dubey, E. Windhab, S. Nahar","doi":"10.1504/ijhm.2020.10032567","DOIUrl":"https://doi.org/10.1504/ijhm.2020.10032567","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2019.10026987
B. Keshtegar, M. Nehdi
Machine learning approaches including support vector regression (SVR) and multi-layer feedforward backpropagation neural network (FFBNN) were used in the present study along with classic theory for predicting maximum displacement of nanocomposite pipe conveying fluid under seismic load. The FFBNN consisted of three layers: 1) three neurons in input layer including length-to-radius ratio (L/R), fluid velocity (V) and volume percent of carbon nanotube; 2) hidden layer with 11 neurons obtained via trial and error; 3) maximum displacement-based seismic load. SVR model was obtained via three-input data with maximum likelihood estimator. Model predicted results were compared using three metrics, including Nash-Sutcliffe efficiency, root mean squared error and coefficient of correlation for 100 testing and 255 training data points. Results indicated that SVR achieved best predictions in the training phase, while FFBNN provided superior prediction in the testing phase. Increasing L/R, V and decreasing VCNT, increased maximum displacements under seismic load.
{"title":"Machine learning model for dynamical response of nano-composite pipe conveying fluid under seismic loading","authors":"B. Keshtegar, M. Nehdi","doi":"10.1504/ijhm.2019.10026987","DOIUrl":"https://doi.org/10.1504/ijhm.2019.10026987","url":null,"abstract":"Machine learning approaches including support vector regression (SVR) and multi-layer feedforward backpropagation neural network (FFBNN) were used in the present study along with classic theory for predicting maximum displacement of nanocomposite pipe conveying fluid under seismic load. The FFBNN consisted of three layers: 1) three neurons in input layer including length-to-radius ratio (L/R), fluid velocity (V) and volume percent of carbon nanotube; 2) hidden layer with 11 neurons obtained via trial and error; 3) maximum displacement-based seismic load. SVR model was obtained via three-input data with maximum likelihood estimator. Model predicted results were compared using three metrics, including Nash-Sutcliffe efficiency, root mean squared error and coefficient of correlation for 100 testing and 255 training data points. Results indicated that SVR achieved best predictions in the training phase, while FFBNN provided superior prediction in the testing phase. Increasing L/R, V and decreasing VCNT, increased maximum displacements under seismic load.","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.10034071
Philipp Zagar, R. Scheidl, M. Scherrer
{"title":"The buckling beam as actuator element for on-off hydraulic micro valves","authors":"Philipp Zagar, R. Scheidl, M. Scherrer","doi":"10.1504/ijhm.2020.10034071","DOIUrl":"https://doi.org/10.1504/ijhm.2020.10034071","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.105497
K. Tee
{"title":"The influence of water on frequency response of concrete plates armed by nanoparticles utilising analytical approach","authors":"K. Tee","doi":"10.1504/ijhm.2020.105497","DOIUrl":"https://doi.org/10.1504/ijhm.2020.105497","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijhm.2020.105497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.105498
A. Gholampour
{"title":"Nonlinear modelling of the dynamic response of pipe conveying fluid coated with FRP under seismic load: comparison of RSM and kriging approach","authors":"A. Gholampour","doi":"10.1504/ijhm.2020.105498","DOIUrl":"https://doi.org/10.1504/ijhm.2020.105498","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijhm.2020.105498","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.10031918
A. Ghadimi, H. Ghassemi
{"title":"Comparative assessment of hydrodynamic performance of two-dimensional Naca0012 and Naca6612 hydrofoils under different cavitation and non-cavitation conditions","authors":"A. Ghadimi, H. Ghassemi","doi":"10.1504/ijhm.2020.10031918","DOIUrl":"https://doi.org/10.1504/ijhm.2020.10031918","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"1 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-01-01DOI: 10.1504/ijhm.2020.105500
Hasan Ghanbari Ghajarloo, M. M. Tehrani, Majid Kheybari
{"title":"Design and energy optimisation of a hybrid flywheel bus rapid transit","authors":"Hasan Ghanbari Ghajarloo, M. M. Tehrani, Majid Kheybari","doi":"10.1504/ijhm.2020.105500","DOIUrl":"https://doi.org/10.1504/ijhm.2020.105500","url":null,"abstract":"","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":"469 1","pages":""},"PeriodicalIF":5.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijhm.2020.105500","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66892909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-07DOI: 10.1504/ijhm.2019.10023791
Geqiang Li, Yinting Ding, Yong Feng, Yuesong Li
The application of direct drive electro-hydraulic servo system in die forging hammer is studied, and a new type of direct drive electro-hydraulic servo control die forging hammer is proposed. The impact energy of forging hammer is modelled by analytic method, and the relationship between impact energy E and motor speed n is simulated and analysed by Simulink software. The AC permanent magnet synchronous servo motor model and the hydraulic system simulation model are established on AMESim, and the system performance curve, the pump output flow curve and the servo motor speed curve are obtained. A wavelet neural network PID control algorithm is proposed to realise closed-loop control of pressure and speed of direct drive electro-hydraulic servo die forging hammer. A combined simulation model of AMESim and Simulink is built. The hardware-in-the-loop simulation experiment of the control system is designed. The simulation and experimental results verify the correctness of the scheme.
{"title":"AMESim simulation and energy control of hydraulic control system for direct drive electro-hydraulic servo die forging hammer","authors":"Geqiang Li, Yinting Ding, Yong Feng, Yuesong Li","doi":"10.1504/ijhm.2019.10023791","DOIUrl":"https://doi.org/10.1504/ijhm.2019.10023791","url":null,"abstract":"The application of direct drive electro-hydraulic servo system in die forging hammer is studied, and a new type of direct drive electro-hydraulic servo control die forging hammer is proposed. The impact energy of forging hammer is modelled by analytic method, and the relationship between impact energy E and motor speed n is simulated and analysed by Simulink software. The AC permanent magnet synchronous servo motor model and the hydraulic system simulation model are established on AMESim, and the system performance curve, the pump output flow curve and the servo motor speed curve are obtained. A wavelet neural network PID control algorithm is proposed to realise closed-loop control of pressure and speed of direct drive electro-hydraulic servo die forging hammer. A combined simulation model of AMESim and Simulink is built. The hardware-in-the-loop simulation experiment of the control system is designed. The simulation and experimental results verify the correctness of the scheme.","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2019-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44393091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-07DOI: 10.1504/ijhm.2019.102891
M. Ghaitani
Here, dynamic response of beam armed by nanoparticles under the seismic load is presented. The hyperbolic theory of beam is utilised for modelling of beam. Utilising the Mori-Tanaka approach, the properties of the beam is obtained. The agglomeration of nanoparticles is assumed in this article which is one of the good novelties of work. Utilising principle of Hamilton, the motion final equations are calculated. A numerical approach and method of Newmark are utilised for obtaining the dynamic displacement. This method is iterative and may be converged after several iteration utilising the MATLAB software. The influences of nanoparticles agglomeration and volume fraction and geometrical variables are presented on the dynamic displacement of the beam. The outcomes present that the nanoparticles may reduced the dynamic deflection.
{"title":"Dynamic displacement calculation in beams structures considering the effect of nanoparticles as reinforcement phase","authors":"M. Ghaitani","doi":"10.1504/ijhm.2019.102891","DOIUrl":"https://doi.org/10.1504/ijhm.2019.102891","url":null,"abstract":"Here, dynamic response of beam armed by nanoparticles under the seismic load is presented. The hyperbolic theory of beam is utilised for modelling of beam. Utilising the Mori-Tanaka approach, the properties of the beam is obtained. The agglomeration of nanoparticles is assumed in this article which is one of the good novelties of work. Utilising principle of Hamilton, the motion final equations are calculated. A numerical approach and method of Newmark are utilised for obtaining the dynamic displacement. This method is iterative and may be converged after several iteration utilising the MATLAB software. The influences of nanoparticles agglomeration and volume fraction and geometrical variables are presented on the dynamic displacement of the beam. The outcomes present that the nanoparticles may reduced the dynamic deflection.","PeriodicalId":29937,"journal":{"name":"International Journal of Hydromechatronics","volume":" ","pages":""},"PeriodicalIF":5.1,"publicationDate":"2019-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/ijhm.2019.102891","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43137135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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