Pub Date : 2023-06-29DOI: 10.1080/02533839.2023.2227863
Jia Li, D. Tan, Fei Zhao, Xiangji Yue
ABSTRACT For the problems of distortion and rotation in the image matching of turbulent motion with high Reynolds number, according to the nature of affine transformation, using log-polar coordinate transformation, the matching of turbulent particle images is achieved by performing correlation calculations on the image line by line and developed a matching algorithm (Turbulent Particle Image Matching, abbreviation: TPIM) for particle image pairs with affine transformation and rigid body transformation: by moving the interpretation window, the algorithm is no longer restricted by displacements of particles; by setting the affine lines according to the angle of the image in the log-polar coordinate system and using the affine line as the matching unit, the decoupling of different transformation factors is realized; according to the characteristic of non-uniform sampling in log-polar coordinate transformation, based on the principle of not losing image information, by reasonably setting the image mask and the rate of sampling, establishing the image pyramid and the relative coordinate system, the algorithm complexity is reduced to about 15% of the original. The experimental results of various types of particle images show that the matching accuracy of the TPIM algorithm can reach more than 99%.
{"title":"Research on PIV algorithm for reconstruction of velocity field of fluid with high Reynolds number","authors":"Jia Li, D. Tan, Fei Zhao, Xiangji Yue","doi":"10.1080/02533839.2023.2227863","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227863","url":null,"abstract":"ABSTRACT For the problems of distortion and rotation in the image matching of turbulent motion with high Reynolds number, according to the nature of affine transformation, using log-polar coordinate transformation, the matching of turbulent particle images is achieved by performing correlation calculations on the image line by line and developed a matching algorithm (Turbulent Particle Image Matching, abbreviation: TPIM) for particle image pairs with affine transformation and rigid body transformation: by moving the interpretation window, the algorithm is no longer restricted by displacements of particles; by setting the affine lines according to the angle of the image in the log-polar coordinate system and using the affine line as the matching unit, the decoupling of different transformation factors is realized; according to the characteristic of non-uniform sampling in log-polar coordinate transformation, based on the principle of not losing image information, by reasonably setting the image mask and the rate of sampling, establishing the image pyramid and the relative coordinate system, the algorithm complexity is reduced to about 15% of the original. The experimental results of various types of particle images show that the matching accuracy of the TPIM algorithm can reach more than 99%.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"9 1","pages":"674 - 682"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73051770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT To improve the banana straw crushing rate, a new vertical shaft opposite-cut banana straw crushing and returning machine was designed. This study analyzed the structural characteristics of piranha teeth. Inspired by this, a bionic blade was designed to improve work efficiency. Through theoretical analysis, the main structural parameters of the key crushing components were determined. The main factors affecting banana straw crushing of the crusher were the forward speed of the machine, the rotational speed of the crushing shaft, and bending angle of the crushing blade. A three-factor three-level field test was carried out to obtain the optimal values for these parameters. The results showed that the optimal combination was the forward speed of 1.45 m/s, a rotational speed of 1600 r/min, and a bending angle of 150°. The qualified rate of straw crushing was 93.89% under the optimal working parameters. Repeated experiments showed that the optimal combination could meet the standard requirements. In conclusion, the new vertical straw crushing machine and its optimization of the selected parameters significantly improved banana straw crushing rate.
{"title":"Design and test of vertical banana straw crushing and returning machine based on piranha tooth structure","authors":"Yue Li, Zihan Wu, Yuan Li, Chaofan Guo, Shi-bo Wei","doi":"10.1080/02533839.2023.2227870","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227870","url":null,"abstract":"ABSTRACT To improve the banana straw crushing rate, a new vertical shaft opposite-cut banana straw crushing and returning machine was designed. This study analyzed the structural characteristics of piranha teeth. Inspired by this, a bionic blade was designed to improve work efficiency. Through theoretical analysis, the main structural parameters of the key crushing components were determined. The main factors affecting banana straw crushing of the crusher were the forward speed of the machine, the rotational speed of the crushing shaft, and bending angle of the crushing blade. A three-factor three-level field test was carried out to obtain the optimal values for these parameters. The results showed that the optimal combination was the forward speed of 1.45 m/s, a rotational speed of 1600 r/min, and a bending angle of 150°. The qualified rate of straw crushing was 93.89% under the optimal working parameters. Repeated experiments showed that the optimal combination could meet the standard requirements. In conclusion, the new vertical straw crushing machine and its optimization of the selected parameters significantly improved banana straw crushing rate.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"44 1","pages":"591 - 600"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79934131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-06-29DOI: 10.1080/02533839.2023.2227878
Danang Yudistiro, Yung-Chang Cheng
ABSTRACT Dental implants’ usage life and strength are critical factors for implant patients. This paper examines the optimization of dental implant threads by modifying the C-Tech implant system model to ascertain thread design’s impact on micromotion through finite element analysis (FEA). The fundamental measurements of the redesigned C-Tech implant system are established by dynamic (FEA). Six implant parameters are chosen as the control factors to be advanced. Experimental simulations are built using a uniform design (UD) method. The dynamic FEA tool ANSYS/LS-DYNA is utilized for each experimental simulation to identify the maximal micromotion in the modified C-Tech implant system. The optimum design model is acquired by minimizing the micromotion by applying the Kriging interpolation (KGI) and genetic algorithm (GA). The improved design has a micromotion of 12.19 µm, as opposed to the original design’s micromotion of 38.11 µm. The improvement rate is 68.02%. Finally, the following innovative design is to add a secondary thread to the implant body. After conducting simulations, the micromotion is reduced to 4.72 µm. Further, it shows a 61.28% improvement compared with the optimization design version and an 87.62% improvement compared with the primary implants.
{"title":"Optimization and innovative design of dental implants under dynamic finite element analysis","authors":"Danang Yudistiro, Yung-Chang Cheng","doi":"10.1080/02533839.2023.2227878","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227878","url":null,"abstract":"ABSTRACT Dental implants’ usage life and strength are critical factors for implant patients. This paper examines the optimization of dental implant threads by modifying the C-Tech implant system model to ascertain thread design’s impact on micromotion through finite element analysis (FEA). The fundamental measurements of the redesigned C-Tech implant system are established by dynamic (FEA). Six implant parameters are chosen as the control factors to be advanced. Experimental simulations are built using a uniform design (UD) method. The dynamic FEA tool ANSYS/LS-DYNA is utilized for each experimental simulation to identify the maximal micromotion in the modified C-Tech implant system. The optimum design model is acquired by minimizing the micromotion by applying the Kriging interpolation (KGI) and genetic algorithm (GA). The improved design has a micromotion of 12.19 µm, as opposed to the original design’s micromotion of 38.11 µm. The improvement rate is 68.02%. Finally, the following innovative design is to add a secondary thread to the implant body. After conducting simulations, the micromotion is reduced to 4.72 µm. Further, it shows a 61.28% improvement compared with the optimization design version and an 87.62% improvement compared with the primary implants.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"65 1","pages":"615 - 627"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89631850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-06-29DOI: 10.1080/02533839.2023.2227880
S. Tseng, Muhammad Ali, F. Qayyum, S. Guk, Christian Overhagen, C. Chao, U. Prahl
ABSTRACT A process map is an intelligent way of visualizing material deformation behavior under hot working conditions by encompassing the activation and deactivation of different local mechanisms. Process maps are used by engineers to optimize temperature and strain rate conditions appropriate for the highly efficient hot workability of materials. Although the calculation of process maps is well established, the present model for the analysis of instability breaks down at specific points. This study investigates the divergent behavior of the process map instability component by simplified mathematical calculations. In the mathematical model of the instability parameter, the stable transition point and unstable transition point have been defined in this article. A guide to developing the process map is described in detail with suitable numerical software with practical examples of γ-iron and Fe-5Ni. The proposed methodology provides a robust criterion for the identification of different instability regions explained by corresponding physical phenomena.
{"title":"Improved method for generation of hot working process maps of metals","authors":"S. Tseng, Muhammad Ali, F. Qayyum, S. Guk, Christian Overhagen, C. Chao, U. Prahl","doi":"10.1080/02533839.2023.2227880","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227880","url":null,"abstract":"ABSTRACT A process map is an intelligent way of visualizing material deformation behavior under hot working conditions by encompassing the activation and deactivation of different local mechanisms. Process maps are used by engineers to optimize temperature and strain rate conditions appropriate for the highly efficient hot workability of materials. Although the calculation of process maps is well established, the present model for the analysis of instability breaks down at specific points. This study investigates the divergent behavior of the process map instability component by simplified mathematical calculations. In the mathematical model of the instability parameter, the stable transition point and unstable transition point have been defined in this article. A guide to developing the process map is described in detail with suitable numerical software with practical examples of γ-iron and Fe-5Ni. The proposed methodology provides a robust criterion for the identification of different instability regions explained by corresponding physical phenomena.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"7 1","pages":"580 - 590"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75001979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-06-28DOI: 10.1080/02533839.2023.2227873
Y. Ou, Cong-Thanh Bui, Yu-Ming Chen
ABSTRACT This study designed and tested six prototype beams longitudinally reinforced with either SD420 deformed steel bars, unstressed 1860-MPa seven-wire steel strands, or a combination of these. The experiment revealed that the displacement, crack width, and crack spacing increased with the increasing number of strands used to replace deformed bars as longitudinal reinforcement. Crack width was estimated using Frosch’s equation, which conservatively predicted the maximum crack width for beams with deformed bars and those with both strands and deformed bars; a modified version of the equation yielded more accurate values for the beams reinforced with strands only. A bond coefficient for strands was used in the modified equation. Strain limits for the tension- and compression-controlled sections of the beams with strands were determined to be 0.0145 and 0.0115, respectively. The deflection of the beams was well estimated using the ACI 318–19 equation.
{"title":"Crack width, deflection, and strain limits of concrete beams with unstressed seven-wire steel strands as longitudinal reinforcement","authors":"Y. Ou, Cong-Thanh Bui, Yu-Ming Chen","doi":"10.1080/02533839.2023.2227873","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227873","url":null,"abstract":"ABSTRACT This study designed and tested six prototype beams longitudinally reinforced with either SD420 deformed steel bars, unstressed 1860-MPa seven-wire steel strands, or a combination of these. The experiment revealed that the displacement, crack width, and crack spacing increased with the increasing number of strands used to replace deformed bars as longitudinal reinforcement. Crack width was estimated using Frosch’s equation, which conservatively predicted the maximum crack width for beams with deformed bars and those with both strands and deformed bars; a modified version of the equation yielded more accurate values for the beams reinforced with strands only. A bond coefficient for strands was used in the modified equation. Strain limits for the tension- and compression-controlled sections of the beams with strands were determined to be 0.0145 and 0.0115, respectively. The deflection of the beams was well estimated using the ACI 318–19 equation.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"76 1","pages":"649 - 660"},"PeriodicalIF":1.1,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86177695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
ABSTRACT The gauge differences of international rail lines have led to the emergence of variable-gauge trains. High-speed variable-gauge trains operating on different lines should meet the dynamic requirements. In order to achieve the above purpose and obtain better dynamic performance, a parameter optimization method for variable suspension systems is proposed. The SIMPACK dynamic model of high-speed variable-gauge trains is established. Six key parameters of the suspension system are chosen, and different suspension parameters are combined using the optimal Latin hypercube. Seven dynamic indices of the vehicle running on three different gauge tracks are solved separately. Weighted SNR is used to perform the multi-objective optimization. The improved CRITIC method is used to solve for the weight coefficients of each index, and find the optimal values of the key suspension parameters. The objective of adjusting the variable suspension parameters of variable-gauge trains is presented. Results from simulation show that the optimized suspension parameters can improve the dynamic performance of the variable-gauge vehicle, especially the derailment coefficient, the wheel load reduction rate, and the axle lateral force. The vehicle can operate with better dynamic performance on both gauge lines by using the designed variable suspension parameters.
{"title":"Optimal design of variable suspension parameters for variable-gauge trains based on the improved CRITIC method","authors":"Yumei Liu, Ting Hu, Jiaojiao Zhuang, Jiaxiang Sheng","doi":"10.1080/02533839.2023.2227877","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227877","url":null,"abstract":"ABSTRACT The gauge differences of international rail lines have led to the emergence of variable-gauge trains. High-speed variable-gauge trains operating on different lines should meet the dynamic requirements. In order to achieve the above purpose and obtain better dynamic performance, a parameter optimization method for variable suspension systems is proposed. The SIMPACK dynamic model of high-speed variable-gauge trains is established. Six key parameters of the suspension system are chosen, and different suspension parameters are combined using the optimal Latin hypercube. Seven dynamic indices of the vehicle running on three different gauge tracks are solved separately. Weighted SNR is used to perform the multi-objective optimization. The improved CRITIC method is used to solve for the weight coefficients of each index, and find the optimal values of the key suspension parameters. The objective of adjusting the variable suspension parameters of variable-gauge trains is presented. Results from simulation show that the optimized suspension parameters can improve the dynamic performance of the variable-gauge vehicle, especially the derailment coefficient, the wheel load reduction rate, and the axle lateral force. The vehicle can operate with better dynamic performance on both gauge lines by using the designed variable suspension parameters.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"59 1","pages":"638 - 648"},"PeriodicalIF":1.1,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91327403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-05-21DOI: 10.1080/02533839.2023.2204897
Luis F. Miranda, E. A. Medina, Yaimi L. Cordova, Jhoann M. Velasquez
ABSTRACT In this study, we investigated the extraction of essential oils from orange peels by steam distillation at the pilot plant level. We considered a two-stage mechanism to develop a kinetic model of oil extraction based on process dynamics principles with different dominant mechanisms. The first and second stages were found to be dominated by rapid diffusion and convection washing, and slow diffusion, respectively, with the diffusion speed in the first stage being considerably higher than that in the second. This model considered the inlet steam pressure and orange peel packing factor as independent variables based on their impact on the yield of the essential oils. High correlation coefficients were achieved through straightforward computation, demonstrating the goodness-of-fit of the model. Three important control parameters were determined for each stage, namely gain, time constant, and dead time; they provided an interesting insight into the mass transfer phenomena and served as a useful reference to minimize steam consumption. These control parameters support the design of an extraction process with a favorable impact on the production cost and environment.
{"title":"Process dynamics of orange peel essential oil extraction","authors":"Luis F. Miranda, E. A. Medina, Yaimi L. Cordova, Jhoann M. Velasquez","doi":"10.1080/02533839.2023.2204897","DOIUrl":"https://doi.org/10.1080/02533839.2023.2204897","url":null,"abstract":"ABSTRACT In this study, we investigated the extraction of essential oils from orange peels by steam distillation at the pilot plant level. We considered a two-stage mechanism to develop a kinetic model of oil extraction based on process dynamics principles with different dominant mechanisms. The first and second stages were found to be dominated by rapid diffusion and convection washing, and slow diffusion, respectively, with the diffusion speed in the first stage being considerably higher than that in the second. This model considered the inlet steam pressure and orange peel packing factor as independent variables based on their impact on the yield of the essential oils. High correlation coefficients were achieved through straightforward computation, demonstrating the goodness-of-fit of the model. Three important control parameters were determined for each stage, namely gain, time constant, and dead time; they provided an interesting insight into the mass transfer phenomena and served as a useful reference to minimize steam consumption. These control parameters support the design of an extraction process with a favorable impact on the production cost and environment.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"11 1","pages":"519 - 527"},"PeriodicalIF":1.1,"publicationDate":"2023-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87436521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-05-15DOI: 10.1080/02533839.2023.2204892
Bing-Gang Jhong, Mei-Yung Chen
ABSTRACT A robot-assisted control system based on the vector model is proposed for a wheeled mobile robot. According to the closed-loop control structure, the system is constituted of two parts – localization and path planning. The localization algorithm, which is enhanced from Monte Carlo localization, is more effective, stable, and robust than the traditional algorithm because of using many strengthening mechanisms, such as using a vector model, re-initialization, and reverse convergence. The path planning algorithm includes three stages to obtain a path with a motion plan. Firstly, a path from the current position to the goal is planned by an enhanced A* algorithm. Secondly, a smooth mechanism is applied to the path to obtain the continuity of orientation. Finally, a motion design based on the trapezoidal-curve velocity profile is implemented to the smoothed path in both linear and angular velocities to obtain the estimated moving time, position schedule, and velocity schedule. With the assisted control system, the robot knows its current position, the path with motion planning to the destination and its estimated arrival time. If the robot deviates from the move plan, the system will reschedule based on the current state. The experimental results show the great performance of our proposed method.
{"title":"Vector model-based robot-assisted control system for a wheeled mobile robot","authors":"Bing-Gang Jhong, Mei-Yung Chen","doi":"10.1080/02533839.2023.2204892","DOIUrl":"https://doi.org/10.1080/02533839.2023.2204892","url":null,"abstract":"ABSTRACT A robot-assisted control system based on the vector model is proposed for a wheeled mobile robot. According to the closed-loop control structure, the system is constituted of two parts – localization and path planning. The localization algorithm, which is enhanced from Monte Carlo localization, is more effective, stable, and robust than the traditional algorithm because of using many strengthening mechanisms, such as using a vector model, re-initialization, and reverse convergence. The path planning algorithm includes three stages to obtain a path with a motion plan. Firstly, a path from the current position to the goal is planned by an enhanced A* algorithm. Secondly, a smooth mechanism is applied to the path to obtain the continuity of orientation. Finally, a motion design based on the trapezoidal-curve velocity profile is implemented to the smoothed path in both linear and angular velocities to obtain the estimated moving time, position schedule, and velocity schedule. With the assisted control system, the robot knows its current position, the path with motion planning to the destination and its estimated arrival time. If the robot deviates from the move plan, the system will reschedule based on the current state. The experimental results show the great performance of our proposed method.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"45 1","pages":"464 - 478"},"PeriodicalIF":1.1,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76692609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-05-04DOI: 10.1080/02533839.2023.2204894
A. Ghaffar, A. Dehghani-Sanij, Shengquan Xie, Abdullah Tahir, Awais Hafeez
ABSTRACT Selection of an actuation system for assistive robotic exoskeletons requires careful consideration of various design factors. It is generally the requirement of the system to produce lightweight and power-efficient systems. In some cases, the torque and power requirements could be relaxed by using redundant systems. This paper involves the study of one such case in which the actuation redundancy of the system will be exploited, and the design optimization will be explored for a rigid and an elastic system. A multi-factor optimization technique will be developed for a redundant elastic actuation system. An actuator design framework will be used to evaluate the different actuator choices to determine the best motor and transmission system combination in a redundant actuation system arrangement. This will be evaluated for a rigid, parallel, and series elastic actuation system. The optimal redundant actuation system significantly reduced the power requirements of the system. The case study was virtually implemented. It was established that variable parallel elastic actuators (V-PEA) performed better as compared to variable series elastic actuators (V-SEA).
{"title":"Design optimization and redundant actuation selection for an efficient assistive robotic exoskeleton","authors":"A. Ghaffar, A. Dehghani-Sanij, Shengquan Xie, Abdullah Tahir, Awais Hafeez","doi":"10.1080/02533839.2023.2204894","DOIUrl":"https://doi.org/10.1080/02533839.2023.2204894","url":null,"abstract":"ABSTRACT Selection of an actuation system for assistive robotic exoskeletons requires careful consideration of various design factors. It is generally the requirement of the system to produce lightweight and power-efficient systems. In some cases, the torque and power requirements could be relaxed by using redundant systems. This paper involves the study of one such case in which the actuation redundancy of the system will be exploited, and the design optimization will be explored for a rigid and an elastic system. A multi-factor optimization technique will be developed for a redundant elastic actuation system. An actuator design framework will be used to evaluate the different actuator choices to determine the best motor and transmission system combination in a redundant actuation system arrangement. This will be evaluated for a rigid, parallel, and series elastic actuation system. The optimal redundant actuation system significantly reduced the power requirements of the system. The case study was virtually implemented. It was established that variable parallel elastic actuators (V-PEA) performed better as compared to variable series elastic actuators (V-SEA).","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"17 1","pages":"490 - 503"},"PeriodicalIF":1.1,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72449619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 : 2023-05-04DOI: 10.1080/02533839.2023.2204896
T.S Bagavat Perumaal, P. Seshadri, B. Ashok kumar, S. Senthilrani
ABSTRACT This work focuses on developing a mathematical model to forecast the performance of solar PV. In the present scenario, solar photovoltaic performance has been envisaged by considering the impact of limited variables subject to certain assumptions and conditions and the current work drives the attention toward the effect of temperature, relative humidity, wind velocity, and panel aging effects. There hasn’t been any breakthrough in the previous research so far while collectively analyzing the efficiency loss in solar photovoltaic, due to the aforementioned parameters. Hence, this work aims to develop a mathematical model in view of the above-mentioned parameters. This work has been experimented using MATLAB software and online simulation tools are used to validate the results. The results are favorable with the deviation of efficiency between the online simulation tool and the proposed mathematical model being 2–4%. Furthermore, a real-time case study has been carried out at a solar power plant installed at Thiagarajar College of Engineering, Madurai, Tamilnadu, to validate the proposed mathematical model. It is observed that the absolute difference in power between the simulation and the actual meter reading is between 30 and 60 Watts with an RMSE between 5 and 16% and MPE of 675 Watts.
{"title":"A mathematical model to forecast solar PV performance","authors":"T.S Bagavat Perumaal, P. Seshadri, B. Ashok kumar, S. Senthilrani","doi":"10.1080/02533839.2023.2204896","DOIUrl":"https://doi.org/10.1080/02533839.2023.2204896","url":null,"abstract":"ABSTRACT This work focuses on developing a mathematical model to forecast the performance of solar PV. In the present scenario, solar photovoltaic performance has been envisaged by considering the impact of limited variables subject to certain assumptions and conditions and the current work drives the attention toward the effect of temperature, relative humidity, wind velocity, and panel aging effects. There hasn’t been any breakthrough in the previous research so far while collectively analyzing the efficiency loss in solar photovoltaic, due to the aforementioned parameters. Hence, this work aims to develop a mathematical model in view of the above-mentioned parameters. This work has been experimented using MATLAB software and online simulation tools are used to validate the results. The results are favorable with the deviation of efficiency between the online simulation tool and the proposed mathematical model being 2–4%. Furthermore, a real-time case study has been carried out at a solar power plant installed at Thiagarajar College of Engineering, Madurai, Tamilnadu, to validate the proposed mathematical model. It is observed that the absolute difference in power between the simulation and the actual meter reading is between 30 and 60 Watts with an RMSE between 5 and 16% and MPE of 675 Watts.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"99 1","pages":"431 - 440"},"PeriodicalIF":1.1,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85848515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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