{"title":"The Role of Compaction Roller in Defining the Layup Quality and Laminate Porosity in Robotic Fiber Placement","authors":"Mohamed M. A. Ammar, B. Shirinzadeh","doi":"10.1109/ICMT53429.2021.9687161","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687161","url":null,"abstract":"The automated fiber placement has been commonly used to fabricate composite structures with high performance. However, the automated manufacturing process is limited by the developed defects in the final composite components. The current study focuses on the effect of the compaction roller's configurations and stiffness on the manufactured thermoset com-posites. The robotic fiber placement process is applied to fabricate different composite specimens. Several unidirectional and multi-axes specimens have been manufactured using 4 different rollers. The attitude of the compaction roller is also adjusted to be normal and to ensure uniform distribution of the compaction pressure. The surface quality of the manufactured components has been evaluated through image processing and detecting the layup defects. The scanning electron microscopy is used to estimate the change in the material porosity. The samples manufactured using a compliant and perforated roller included defects such as blisters, wrinkles, overlaps, and distortions. Additionally, the material porosity has been significantly improved when using the solid steel roller.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124051099","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}
Mehmet Cagin Kirca, Aman Surana, A. McGordon, Truong Qunag Dinh
{"title":"Rapid Decision-Making Tool for Powertrain Sizing","authors":"Mehmet Cagin Kirca, Aman Surana, A. McGordon, Truong Qunag Dinh","doi":"10.1109/ICMT53429.2021.9687178","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687178","url":null,"abstract":"In the early stages of electric vehicle design, the decision-making process concerns the component sizing and trade-offs between various configurations to achieve or update initial target specifications. Motorcycle performance and range are more sensitive to added mass due to configuration selection. Hence, there is a need to quantify the high-level implications of different powertrain configurations and component selection, affecting the total vehicle mass, vehicle range, vehicle acceleration performance. An Excel spreadsheet-based model is described in this paper to aid decision-makers at the early stages of vehicle design. The tool is capable of sizing battery pack, inverter, traction, motor and gearbox, and making performance estimations of a powertrain configuration and component selection. The tool is validated against the listed ranges of two motorcycles and predicts energy usage with an error of 5% for low-speed drive cycles.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124150164","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}
A. Borboni, Paolo Marinoni, Cristina Nuzzi, R. Faglia, R. Pagani, Simone Panada
{"title":"Towards safe collaborative interaction empowered by face recognition","authors":"A. Borboni, Paolo Marinoni, Cristina Nuzzi, R. Faglia, R. Pagani, Simone Panada","doi":"10.1109/ICMT53429.2021.9687215","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687215","url":null,"abstract":"This paper presents the implementation of a face recognition node for a Sawyer collaborative robot using Robot Operating System (ROS), and its preliminary experimental validation. The node acquires images through the head camera of a Sawyer cobot and elaborates it using OpenCV libraries, applying the Viola-Jones algorithm to detect faces. The aim is to use face recognition functionalities to make the robot start its operations only when it correctly recognizes an operator in its workspace, thus increasing the safety of the human-robot interaction. The developed ROS node recognizes multiple faces at the same time and publishes the information required on a dedicated topic. The validation performed analyzed the success rate of the procedure at different orientations of the user's face.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129610592","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}
Zhen Qi Chee, Zi Jie Choong, Wai Leong Eugene Wong
{"title":"Digitization of Fused Deposited Methods (FDM) Printer for Smart Additive Manufacturing (AM)","authors":"Zhen Qi Chee, Zi Jie Choong, Wai Leong Eugene Wong","doi":"10.1109/ICMT53429.2021.9687227","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687227","url":null,"abstract":"The panic buying during Covid-19 caused farmers to amped-up production. However, farm equipment is costly to purchase. Therefore, some farmers utilized Additive Manufacturing (AM) to manufacture farming tools at low cost. However, the lack of in-situ monitoring in AM to stop printing failed parts can waste materials and time. Thus, this research aims to deploy a low-cost smart remote monitoring system using OctoPrint and Node-red to integrate a 3D printer and Teachable Machine and train a model to pre-emptively detect print errors. The result was satisfactory as the 3D printer stopped when the camera detected a defect with 75% accuracy. Furthermore, the user can easily customize the model to enhance the system versatility via the developed code-free platform.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127942301","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}
{"title":"Experimental Examination of Method for Estimating Solid Fraction at Flow Cessation from Flow Velocity of Molten Al-Si-Mg Alloy","authors":"Kuiyuan Mu, M. Nikawa, M. Yamashita","doi":"10.1109/ICMT53429.2021.9687259","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687259","url":null,"abstract":"The purpose of this study was to experimentally estimate the solid fraction at which the cessation of the flow of a molten Al-Si-Mg alloy (JIS-AC4C) occurs in casting. The flow cessation mechanism of JIS-AC4C is known as the “mushy” formation type, which means that the flow ceases when the solid fraction at the molten metal tip reaches a certain critical value. Therefore, the flow velocity at the molten metal tip is assumed to decrease gradually. Thus, a new method for calculating the solid fraction at flow cessation based on computer simulations was examined using experimental measurements of the flow velocity and flow length. As a result of the experiment, the flow length became longer as the mold temperature and molten metal temperature increased. The flow velocity gradually decreased from the initial stage, but there was a region where the velocity was almost constant after the initial stage. The molten metal temperature became lower from the root side to the tip side, and the solid fraction at the time of flow cessation was calculated from the measurement results, and it was approximately 0.35-0.4 near the tip. Computer simulations were performed by tuning the heat transfer coefficients so that the flow length and flow velocity would match the experimental results and could simulate the changes in flow velocity obtained from the experiments. The solid fraction at the tip of the molten metal was almost the same as the experimental results. These results showed that it is possible to estimate the solidus fraction at the flow cessation from the flow velocity at the tip. It is easier and more accurate to calculate the flow ceased solid fraction by measuring the flow velocity of the molten metal tip. As a reference value, we were able to improve the calculation accuracy by comparing and verifying the flow ceased solid fraction calculated by the conventional calculation method from temperature.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128086781","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}
Krishna Kumar Ramakrishna Pandian, T. Dinh, J. Marco
{"title":"Modelling and Brake Blending Control for Multi-Drive Mode Electric Two-Wheelers","authors":"Krishna Kumar Ramakrishna Pandian, T. Dinh, J. Marco","doi":"10.1109/ICMT53429.2021.9687134","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687134","url":null,"abstract":"In electric two-wheelers, high riding performance in terms of energy consumption, ride comfort and rapid acceleration is known as a key enable for the sustainable development. The key performance indicators are dependent upon factors like length of the trip, state of charge of the battery, current traffic conditions and rider behaviors. This leads to the need to develop a highly efficient and convenient motorcycle with multiple drive modes, to enhance customer satisfaction. It is therefore critical to design a brake blending control strategy capable of working effectively with different drive modes to maximize the braking energy recoverability without impacting ride comfort. In order to address this challenge, a simple but efficient brake blending strategy based on serial braking concept, has been developed in this paper, for a two-wheeler electric vehicle with multiple drive modes.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133410220","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}
F. Pourdanesh, T. Dinh, Fulvio Tagliabo, Phill Whiffin
{"title":"Failure Safety Analysis of Artificial Intelligence Systems for Smart/Autonomous Vehicles","authors":"F. Pourdanesh, T. Dinh, Fulvio Tagliabo, Phill Whiffin","doi":"10.1109/ICMT53429.2021.9687283","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687283","url":null,"abstract":"Up to now failures in artificial intelligence systems, specifically machine learning algorithms which are their software components, are considered as systematic failures. The goal of this paper is to introduce a new concept of quantitative failure analysis for machine learning algorithms which can be used in smart/autonomous vehicles to guarantee sufficiently low risk of residual errors in this application. Firstly, a coincidence in evaluating impacts of unpredictable behaviours of machine learning algorithms and hardware components is introduced in order to statistically estimate failure rate based on a given number of data points. Next, a metric utilising this randomic failure rate is proposed to assess functional safety of smart and/or autonomous vehicles and evaluate their safeness according to ISO 26262:2018, and ISO/PAS 21448.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131129","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}
{"title":"Task coordinate frame-based contouring control of an excavator with sliding mode observer and prescribed performance","authors":"Hoang Vu Dao, K. Ahn","doi":"10.1109/ICMT53429.2021.9687281","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687281","url":null,"abstract":"In this paper, a contouring control algorithm is developed for surface flattening tasks of an excavator regardless of lumped disturbances/uncertainties and system nonlinearities. The task coordinate frame (TCF) is adopted to decouple the contouring error from the tracking error, which allows different treatments on each error component. Moreover, a sliding mode observer (SMO) is proposed to effectively estimate both unmeasurable joint velocities and lumped disturbances and uncertainties. To integrate these techniques into the main controller, backstepping control and the barrier Lyapunov function (BLF) are introduced to guarantee the system stability and prescribed contouring performance. Finally, simulations with different operating conditions are conducted to validate the effectiveness of the proposed contouring control method with a mini-excavator model.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953988","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}
Subham Agrawal, J. Chong, Ali A. Yacoub, M. Giuliani, A. Jafari, Appolinaire C. Etoundi
{"title":"Physiological Data Measurement in Digital Manufacturing","authors":"Subham Agrawal, J. Chong, Ali A. Yacoub, M. Giuliani, A. Jafari, Appolinaire C. Etoundi","doi":"10.1109/ICMT53429.2021.9687200","DOIUrl":"https://doi.org/10.1109/ICMT53429.2021.9687200","url":null,"abstract":"As industry is moving towards a new digital rev-olution, identifying workers' mental and physical status is key to improved productivity in a digital manufacturing scenario. The main objective here is to provide an overview of sensing technologies in digital manufacturing and discuss suitability for taking physiological measurements of workers collaborating with robots. A method for rating physiological sensors in digital manufacturing application areas has been discussed which takes into account expert reviews. Selected commercially-available sensors are rated based on 9 evaluation keys (wearability, form-factor, mobility, pre-training, data-exchange capability, on-board filtering, ease-of-use, cost, and calibration) for digital manufacturing. The result is a scorecard of available sensors with feasibility to be used in digital manufacturing. In a given category, this data allows the selection of the best available sensors for certain use cases. The method to score the sensors has been explicitly explained to allow readers to expand on and contribute towards the data.","PeriodicalId":258783,"journal":{"name":"2021 24th International Conference on Mechatronics Technology (ICMT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116888710","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}