Pub Date : 2023-01-01DOI: 10.18178/ijmerr.7.4.338-342
Prathabrao Muniandy, S. Amin, M. Ibrahim
— A homogenous distribution of powder particles and binders in metal injection molding (MIM) feedstock, and good flowability, are important characteristics as these help to reduce powder-binder separation and achieve isotropic reduction after sintering. To avoid problems in these areas, this paper focuses on determining feedstock properties and studying the effect of TaC powder as a grain growth inhibitor on the rheological behavior of MIM feedstock. A raw material of WC-6%Co, together with palm stearin and a polyethylene binder system, was used as feedstock, tailored with different TaC loadings of 0.4%, 0.8%, and 1.2% by weight. The homogenous feedstock, mixed by ball milling and with a Brabender mixer, was subjected to rheology testing at different temperatures. The results indicated that all feedstock formulations exhibited good pseudoplastic behavior within acceptable ranges in MIM, with a TaC content of 0.8 wt% giving the optimum rheological properties.
{"title":"Properties and Rheological Behavior of Nano-Sized Cemented Carbide Injection Molding Feedstocks with Different Percentages of Grain Growth Inhibitor","authors":"Prathabrao Muniandy, S. Amin, M. Ibrahim","doi":"10.18178/ijmerr.7.4.338-342","DOIUrl":"https://doi.org/10.18178/ijmerr.7.4.338-342","url":null,"abstract":"— A homogenous distribution of powder particles and binders in metal injection molding (MIM) feedstock, and good flowability, are important characteristics as these help to reduce powder-binder separation and achieve isotropic reduction after sintering. To avoid problems in these areas, this paper focuses on determining feedstock properties and studying the effect of TaC powder as a grain growth inhibitor on the rheological behavior of MIM feedstock. A raw material of WC-6%Co, together with palm stearin and a polyethylene binder system, was used as feedstock, tailored with different TaC loadings of 0.4%, 0.8%, and 1.2% by weight. The homogenous feedstock, mixed by ball milling and with a Brabender mixer, was subjected to rheology testing at different temperatures. The results indicated that all feedstock formulations exhibited good pseudoplastic behavior within acceptable ranges in MIM, with a TaC content of 0.8 wt% giving the optimum rheological properties. ","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67498514","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 : 2023-01-01DOI: 10.18178/ijmerr.12.6.396-400
Woonsang Lee, Haeng Muk Cho
—The distance between the object and the spray gun and the degree of coating overlap due to the spray distance must be optimized for achieving a uniform coating using a spray gun. Moreover, the paint sprayed from a spray gun is thicker at the center of the object to be painted and thinner toward the edges due to the difference in density. Therefore, the thickness of the paint according to the spray distance should be considered. In this study, a Three-Dimensional (3D) painting robot specially designed to spray paint under certain conditions was used to investigate the spray characteristics of the spray gun and the thickness and glossiness of dry films according to the spray distance and moving speed. Under the standard coating conditions for automotive refinishing, the optimum distance between the object to be coated and the spray gun is approximately 12–15 cm, and the speed of the spray gun is about 0.4–0.5 m/s. If the spray distance is small, the coating film will be thick, and the resin ratio will be high, with metallic particles embedded in the resin, resulting in low glossiness. The metallic particles are exposed on the coated surface at a larger distance, increasing the glossiness.
{"title":"Changes in Thickness and Gloss of Dry Films According to Spray Methods of Water-Soluble Metallic Base Coat","authors":"Woonsang Lee, Haeng Muk Cho","doi":"10.18178/ijmerr.12.6.396-400","DOIUrl":"https://doi.org/10.18178/ijmerr.12.6.396-400","url":null,"abstract":"—The distance between the object and the spray gun and the degree of coating overlap due to the spray distance must be optimized for achieving a uniform coating using a spray gun. Moreover, the paint sprayed from a spray gun is thicker at the center of the object to be painted and thinner toward the edges due to the difference in density. Therefore, the thickness of the paint according to the spray distance should be considered. In this study, a Three-Dimensional (3D) painting robot specially designed to spray paint under certain conditions was used to investigate the spray characteristics of the spray gun and the thickness and glossiness of dry films according to the spray distance and moving speed. Under the standard coating conditions for automotive refinishing, the optimum distance between the object to be coated and the spray gun is approximately 12–15 cm, and the speed of the spray gun is about 0.4–0.5 m/s. If the spray distance is small, the coating film will be thick, and the resin ratio will be high, with metallic particles embedded in the resin, resulting in low glossiness. The metallic particles are exposed on the coated surface at a larger distance, increasing the glossiness.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888200","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 : 2023-01-01DOI: 10.18178/ijmerr.12.6.354-361
Dong Nguyen Minh, Hiep Do Quang, Nam Dao Phuong, Tien Ngo Manh, Duy Nam Bui
.
{"title":"An Adaptive Fuzzy Dynamic Surface Control Tracking Algorithm for Mecanum Wheeled Mobile Robot","authors":"Dong Nguyen Minh, Hiep Do Quang, Nam Dao Phuong, Tien Ngo Manh, Duy Nam Bui","doi":"10.18178/ijmerr.12.6.354-361","DOIUrl":"https://doi.org/10.18178/ijmerr.12.6.354-361","url":null,"abstract":".","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888209","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 : 2023-01-01DOI: 10.18178/ijmerr.12.5.313-323
Chadi F. Riman, Pierre E. Abi-Char
—Automated Storage (AS) are designed to store and retrieve products in specific locations within manufacturing, warehouses, institutions, and others. These AS involve the usage of robots to move the stored items in and out of the warehouse. However, a challenge for AS systems is to solve the path planning for finding shortest path in a minimum amount of time while avoiding collisions with other robots or static obstacles. Fuzzy Logic systems are widely used in several application areas requiring mimicking the human decision logic under uncertainty. In this paper, we proposed an Automated Storage (AS) robot navigation by using three Fuzzy subsystems combined together to ensure path planning with obstacle avoidance. These three fuzzy subsystems are: Reach Target, Avoid Obstacle, and Escape Cul-De-sac. Therefore, fuzzy rules are employed along with the corresponding defuzzication process to control left and right wheel movement steps of the robot. These systems achieve reaching the goal (using the first subsystem) while avoiding different obstacles on the way (using the second subsystem), even the ones that form a trap (using the third subsystem). These three systems will be used for path planning and following. The overall model was simulated using C# code. The initial results showed the effectiveness of the model in different scenarios: namely no obstacles, static ones, traps, and dynamic obstacles. The path length was comparable to that of traditional shortest path methods such as Dijkstra and A*. The results were also compared to a newer method called APSO. The system’s response was quick due to the fewer needed instructions and reduced memory storage needs. All this was done assuming a constant speed for robots and dynamic obstacles.
{"title":"Fuzzy Logic Control for Mobile Robot Navigation in Automated Storage","authors":"Chadi F. Riman, Pierre E. Abi-Char","doi":"10.18178/ijmerr.12.5.313-323","DOIUrl":"https://doi.org/10.18178/ijmerr.12.5.313-323","url":null,"abstract":"—Automated Storage (AS) are designed to store and retrieve products in specific locations within manufacturing, warehouses, institutions, and others. These AS involve the usage of robots to move the stored items in and out of the warehouse. However, a challenge for AS systems is to solve the path planning for finding shortest path in a minimum amount of time while avoiding collisions with other robots or static obstacles. Fuzzy Logic systems are widely used in several application areas requiring mimicking the human decision logic under uncertainty. In this paper, we proposed an Automated Storage (AS) robot navigation by using three Fuzzy subsystems combined together to ensure path planning with obstacle avoidance. These three fuzzy subsystems are: Reach Target, Avoid Obstacle, and Escape Cul-De-sac. Therefore, fuzzy rules are employed along with the corresponding defuzzication process to control left and right wheel movement steps of the robot. These systems achieve reaching the goal (using the first subsystem) while avoiding different obstacles on the way (using the second subsystem), even the ones that form a trap (using the third subsystem). These three systems will be used for path planning and following. The overall model was simulated using C# code. The initial results showed the effectiveness of the model in different scenarios: namely no obstacles, static ones, traps, and dynamic obstacles. The path length was comparable to that of traditional shortest path methods such as Dijkstra and A*. The results were also compared to a newer method called APSO. The system’s response was quick due to the fewer needed instructions and reduced memory storage needs. All this was done assuming a constant speed for robots and dynamic obstacles.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207600","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 : 2023-01-01DOI: 10.18178/ijmerr.12.2.107-112
G. Salawu, Bright Glen
—Material handling using a conveyor system has numerous advantages, such as proper material handling. It handles loads of varying heights and weights conveniently within a shorter period. Improved efficiency can be achieved during the manufacturing process if the operating parameters of a conveyor system are within the best service range. This paper studied and modeled the design parameters of a belt conveyor system to determine the best design parameters that can yield an efficient manufacturing system. The machine's efficiency was studied, and the operating parameters of the conveyor system that gave an efficient production system were achieved using MATLAB to simulate the parameters. It was observed that when the power rating of the conveyor was set at 8.9x10-4 watts, a higher throughput rate was obtained. Also, the cost of production increases as more power is utilized under varying load conditions.
{"title":"Improving the Efficiency of a Conveyor System in an Automated Manufacturing Environment Using a Model-Based Approach","authors":"G. Salawu, Bright Glen","doi":"10.18178/ijmerr.12.2.107-112","DOIUrl":"https://doi.org/10.18178/ijmerr.12.2.107-112","url":null,"abstract":"—Material handling using a conveyor system has numerous advantages, such as proper material handling. It handles loads of varying heights and weights conveniently within a shorter period. Improved efficiency can be achieved during the manufacturing process if the operating parameters of a conveyor system are within the best service range. This paper studied and modeled the design parameters of a belt conveyor system to determine the best design parameters that can yield an efficient manufacturing system. The machine's efficiency was studied, and the operating parameters of the conveyor system that gave an efficient production system were achieved using MATLAB to simulate the parameters. It was observed that when the power rating of the conveyor was set at 8.9x10-4 watts, a higher throughput rate was obtained. Also, the cost of production increases as more power is utilized under varying load conditions.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67497546","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 : 2023-01-01DOI: 10.18178/ijmerr.12.6.410-416
Dawood S. Mahjoob, Ahmad A. Khalaf, Muammel M. Hanon
—The cutting force of the aluminum workpiece was forecasted using the Artificial Neural Networks (ANNs) methodology in this study. Two ANN structures, one with a single hidden layer and the other with a double hidden layer, were constructed using MATLAB codes. The Levenberg-Marquardt back-propagation technique served as the training algorithm, employing a sigmoidal transfer function in the hidden layer and a purline transfer function in the output layer. The performance of the ANN models was assessed using Mean Squared Error (MSE) and coefficient of determination (R 2 ). The experimental findings revealed that the cutting speed, feed rate, and depth of cut significantly influenced the cutting force. The optimal number of neurons in both single and double hidden layers was determined to be 6. The validation stage achieved the best performance with an MSE of approximately 0.002747 for a single layer and 0.00144 for double hidden layers, both at epoch 5. In conclusion, both ANN structures demonstrated the capability to predict cutting force, with a preference for the double hidden layer structure.
{"title":"Forecasting Cutting Force by Using Artificial Neural Networks Based on Experiments of Turning Aluminum","authors":"Dawood S. Mahjoob, Ahmad A. Khalaf, Muammel M. Hanon","doi":"10.18178/ijmerr.12.6.410-416","DOIUrl":"https://doi.org/10.18178/ijmerr.12.6.410-416","url":null,"abstract":"—The cutting force of the aluminum workpiece was forecasted using the Artificial Neural Networks (ANNs) methodology in this study. Two ANN structures, one with a single hidden layer and the other with a double hidden layer, were constructed using MATLAB codes. The Levenberg-Marquardt back-propagation technique served as the training algorithm, employing a sigmoidal transfer function in the hidden layer and a purline transfer function in the output layer. The performance of the ANN models was assessed using Mean Squared Error (MSE) and coefficient of determination (R 2 ). The experimental findings revealed that the cutting speed, feed rate, and depth of cut significantly influenced the cutting force. The optimal number of neurons in both single and double hidden layers was determined to be 6. The validation stage achieved the best performance with an MSE of approximately 0.002747 for a single layer and 0.00144 for double hidden layers, both at epoch 5. In conclusion, both ANN structures demonstrated the capability to predict cutting force, with a preference for the double hidden layer structure.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134888254","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 : 2022-01-01DOI: 10.18178/ijmerr.11.1.15-21
Vu Ngoc Bich, N. Hoa
This paper presents the influences of roughness on ship propeller’s performance by using RANSE method with moving reference frame approach. The effect of different roughness conditions on the propeller efficiency was evaluated for several different advance coefficients. The numerical obtained results indicate that the thrust of propeller coefficient decreases while the torque of propeller coefficient increases with increasing roughness levels on propeller surface, which leads to a reduction of the propeller open water efficiency. Besides, the paper also investigates into the roughness effect on the pressure, wall skin friction coefficients, and velocity field in order to explain the physical phenomenon of changing propeller characteristics at different roughness levels. The study indicates the proposed RANSE method is capable to apply as a reliable approach to predict the effects of fouling on ship propeller efficiency. The well-known benchmarking Potsdam Propeller was used as test case in this study.
{"title":"Numerical Evaluation of Roughness Influences on Open Water Propeller Characteristics Using RANSE Method","authors":"Vu Ngoc Bich, N. Hoa","doi":"10.18178/ijmerr.11.1.15-21","DOIUrl":"https://doi.org/10.18178/ijmerr.11.1.15-21","url":null,"abstract":"This paper presents the influences of roughness on ship propeller’s performance by using RANSE method with moving reference frame approach. The effect of different roughness conditions on the propeller efficiency was evaluated for several different advance coefficients. The numerical obtained results indicate that the thrust of propeller coefficient decreases while the torque of propeller coefficient increases with increasing roughness levels on propeller surface, which leads to a reduction of the propeller open water efficiency. Besides, the paper also investigates into the roughness effect on the pressure, wall skin friction coefficients, and velocity field in order to explain the physical phenomenon of changing propeller characteristics at different roughness levels. The study indicates the proposed RANSE method is capable to apply as a reliable approach to predict the effects of fouling on ship propeller efficiency. The well-known benchmarking Potsdam Propeller was used as test case in this study.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67495895","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 : 2022-01-01DOI: 10.18178/ijmerr.11.3.166-173
A. Purvee, Gunther C. Stehr, Battsengel Baatar, P. Batkhuu
This paper describes the technologies and results from a study to investigate a suitable means to protect high chromium white cast iron from further wear. This work focuses on the precondition for the feasibility testing of laser cladding with metal matrix composite powders for the wear protection of impeller blades of slurry pumps. Investigations of selected powder mixtures and different treatment parameter setups were conducted using test plates. During the process of laser cladding the pumps, factors affecting success included: the very raw surface quality of the blades; very high tolerances of the parts; possible defects within the cast iron substrate; and general weldability of the cast iron material due to chemical composition. In comparison between the part surfaces as cast and after the cleaning using sandblasting, the measurements show strong differences in the chemical composition. The measurement results are strongly dependent on the measurement position, surface condition, and laser power. Based on our results, an industrial trial was conducted to compare the wear behavior of the claddings with untreated high chromium white cast iron. An evaluation of the lifetime of the laser-coated pump parts in the mineral processing industry is underway, which results will be published separately.
{"title":"Fundamental Wear and Treatment Investigations of Laser-Coated Pump Parts","authors":"A. Purvee, Gunther C. Stehr, Battsengel Baatar, P. Batkhuu","doi":"10.18178/ijmerr.11.3.166-173","DOIUrl":"https://doi.org/10.18178/ijmerr.11.3.166-173","url":null,"abstract":"This paper describes the technologies and results from a study to investigate a suitable means to protect high chromium white cast iron from further wear. This work focuses on the precondition for the feasibility testing of laser cladding with metal matrix composite powders for the wear protection of impeller blades of slurry pumps. Investigations of selected powder mixtures and different treatment parameter setups were conducted using test plates. During the process of laser cladding the pumps, factors affecting success included: the very raw surface quality of the blades; very high tolerances of the parts; possible defects within the cast iron substrate; and general weldability of the cast iron material due to chemical composition. In comparison between the part surfaces as cast and after the cleaning using sandblasting, the measurements show strong differences in the chemical composition. The measurement results are strongly dependent on the measurement position, surface condition, and laser power. Based on our results, an industrial trial was conducted to compare the wear behavior of the claddings with untreated high chromium white cast iron. An evaluation of the lifetime of the laser-coated pump parts in the mineral processing industry is underway, which results will be published separately. ","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67496451","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 : 2022-01-01DOI: 10.18178/ijmerr.11.6.411-416
Robin Pellois, O. Brüls
—We propose in this work an original approach consisting in correcting inertial human hand trajectory with vision-based object tracking in a context of programming by demonstration (PbD) of pick-and-place tasks. One challenge in PbD is to record human demonstrations accurately enough, in an easy way which does not limit human motion. Merging inertial-based and vision-based technologies may take advantage of both and fulfill the requirement of a PbD process. Our method is based on the identification of Positions of Interest (POIs) from object and hand data, corresponding to picking or placing actions. Then objects POIs are paired with hand POIs to modify the human hand trajectory. The method is implemented on a Sawyer robot with Xsens IMU sensors. Pick-and-place tasks with different complexity have been recorded and reproduced by the robot. The robot succeeds to reproduce the demonstrated tasks which validates our method.
{"title":"A Vision-based Correction of Inertial Measurement of Human Motion for Robot Programming by Demonstration","authors":"Robin Pellois, O. Brüls","doi":"10.18178/ijmerr.11.6.411-416","DOIUrl":"https://doi.org/10.18178/ijmerr.11.6.411-416","url":null,"abstract":"—We propose in this work an original approach consisting in correcting inertial human hand trajectory with vision-based object tracking in a context of programming by demonstration (PbD) of pick-and-place tasks. One challenge in PbD is to record human demonstrations accurately enough, in an easy way which does not limit human motion. Merging inertial-based and vision-based technologies may take advantage of both and fulfill the requirement of a PbD process. Our method is based on the identification of Positions of Interest (POIs) from object and hand data, corresponding to picking or placing actions. Then objects POIs are paired with hand POIs to modify the human hand trajectory. The method is implemented on a Sawyer robot with Xsens IMU sensors. Pick-and-place tasks with different complexity have been recorded and reproduced by the robot. The robot succeeds to reproduce the demonstrated tasks which validates our method.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67496769","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 : 2022-01-01DOI: 10.18178/ijmerr.11.9.662-668
Romil S. Al-Adwan, Osama, O., M. Al-Habahbeh
— Detecting Unmanned Aerial Vehicles (UAVs), also known as drones, is becoming more difficult as technologies keep advancing. The low price, smaller size, and high speed of UAVs make them hard to detect. The goal of this study is to critically review and evaluate the UAVs sensor-based detection systems using Machine Learning (ML) algorithms. The study reviews several sensor-based detection systems (acoustic, thermal infra-red, radio frequency, and radar), and makes recommendations for future enhancements using machine learning-based techniques. One of the findings of this study is the small amount of data used by researchers, due to the lack of publicly available datasets, which added limitations to the research and may have produced inaccurate results. Another important finding is the closed environments (labs) that most researchers have conducted their research in, which are far from real case scenarios. Finally, this research makes recommendations on how to improve the process and obtain more accurate results. Classification and identification of UAVs are beyond the scope of this paper.
{"title":"Unmanned Aerial Vehicles Sensor-Based Detection Systems Using Machine Learning Algorithms","authors":"Romil S. Al-Adwan, Osama, O., M. Al-Habahbeh","doi":"10.18178/ijmerr.11.9.662-668","DOIUrl":"https://doi.org/10.18178/ijmerr.11.9.662-668","url":null,"abstract":"— Detecting Unmanned Aerial Vehicles (UAVs), also known as drones, is becoming more difficult as technologies keep advancing. The low price, smaller size, and high speed of UAVs make them hard to detect. The goal of this study is to critically review and evaluate the UAVs sensor-based detection systems using Machine Learning (ML) algorithms. The study reviews several sensor-based detection systems (acoustic, thermal infra-red, radio frequency, and radar), and makes recommendations for future enhancements using machine learning-based techniques. One of the findings of this study is the small amount of data used by researchers, due to the lack of publicly available datasets, which added limitations to the research and may have produced inaccurate results. Another important finding is the closed environments (labs) that most researchers have conducted their research in, which are far from real case scenarios. Finally, this research makes recommendations on how to improve the process and obtain more accurate results. Classification and identification of UAVs are beyond the scope of this paper.","PeriodicalId":37784,"journal":{"name":"International Journal of Mechanical Engineering and Robotics Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67497080","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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