Article
Automation & Control Systems
Silvia Proia, Graziana Cavone, Paolo Scarabaggio, Raffaele Carli, Mariagrazia Dotoli
Summary: The demand for safe and ergonomic workplaces in modern industrial scenarios, especially for companies that rely on Human-Robot Collaboration (HRC), is rapidly growing. This study proposes a multi-objective optimization strategy to optimize the trajectory of a cobot arm's end-effector in a collaborative industrial environment, ensuring operator safety and ergonomics.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Mechanical
Peter Korba, Robert Hunady, Michal Hovanec, Branislav Racek, Peter Pavelka
Summary: The safety of aircraft operations is crucial, with the wheel brake system playing a significant role. This paper focuses on fatigue analysis of brake discs in civil transport aircraft, aiming to reduce the risk of brake overheating and increase operational safety. Reverse engineering methods were used to obtain CAD models of the discs for numerical lifetime analysis using the finite element method.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Chemistry, Physical
Wojciech Sawczuk, Mateusz Jungst, Dariusz Ulbrich, Jakub Kowalczyk
Summary: The article discusses the dangers of surface cracks in disc braking systems of rail and car vehicles, as well as explores experimental methods to identify and estimate the depth of these cracks.
Article
Automation & Control Systems
Ziyue Guo, Dong Zhou, Aimin Hao, Yan Wang, Hongduo Wu, Qidi Zhou, Dequan Yu, Shengkui Zeng
Summary: In this paper, an integrated VR-based method is proposed for the ergonomic optimization of manual operations. The method effectively integrates multiple VR hardware devices, motion capture data, and the evaluation method in the DELMIA environment. A practical case demonstrates the effectiveness of the method.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Instruments & Instrumentation
Yaojung Shiao, Mahendra Babu Kantipudi
Summary: This paper presents a novel magnetorheological brake that overcomes the limitations of traditional brakes in terms of torque density and manufacturability. The brake achieves high torque density through its unique construction and utilizes a simple and lightweight design for ease of manufacturing. Computer simulations and experimental validation demonstrate that the proposed brake achieves its objectives, with significantly higher torque density compared to conventional MR brakes and a rapid response time.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Automation & Control Systems
Silvia Proia, Raffaele Carli, Graziana Cavone, Mariagrazia Dotoli
Summary: The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work, with a substantial impact on the manufacturing sector. Collaborative robotics is the key enabling technology behind Industry 4.0 and is evolving as a fundamental pillar of Industry 5.0. The main goals of human-robot collaboration in the industrial setting are to improve employee safety and well-being, while increasing profitability and productivity.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Merten Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert Hoffmann, Sebastian Oberst
Summary: Novel strategies for handling data-intensive vibration testing have been reported to gain better insights into friction brake system vibrations and noise generation mechanisms. Machine learning-based methods are applied to detect and characterize vibrations, understand sensitivities, and predict brake squeal, showcasing the potential of data science techniques for classical mechanical engineering challenges.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Automation & Control Systems
Jianguo Duan, Yuan Fang, Qinglei Zhang, Jiyun Qin
Summary: This paper proposes a human-robot collaboration framework for intelligent assembly systems with multimodal gesture control. It performs gesture recognition on RGB data and RGB-D data through convolutional neural networks and combines gesture data from both modalities for robot control. The experiments show that this framework can better realize the human-robot collaborative assembly and improve the intelligence of the assembly process.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Hongyuan Zhang, Jiayu Qiao, Xin Zhang
Summary: This study establishes a six-degree-of-freedom nonlinear dynamics model to investigate the vibration characteristics during brake friction. The results show that brake pressure, braking speed, and the support stiffness of brake pad and disc all have an impact on the vibration characteristics.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Mechanical
Guoliang Hu, Lifan Wu, Linsen Li
Summary: An MR brake with a double brake disc was developed in this study to improve braking performance by increasing effective damping gaps and optimizing magnetic flux line guidance. This design effectively enhanced braking performance and reduced power consumption.
Article
Engineering, Aerospace
Songyang Zhang, Qiaozhi Yin, Xiaohui Wei, Jiayi Song, Hong Nie
Summary: This paper establishes a rigid-flexible coupling dynamic model to study the influence of different brake disc materials and ambient temperatures on the low-frequency braking-induced vibration of landing gear. It is found that the friction characteristics of the C/SiC brake disc have a significant effect on the vibration and are easily affected by temperature.
Article
Engineering, Electrical & Electronic
Marco Bortolini, Lucia Botti, Francesco Gabriele Galizia, Cristina Mora
Summary: Ergonomics plays a crucial role in improving health and productivity in workplaces. This paper introduces an ergonomic design approach applied to an innovative prototype of an adaptive automation assembly system (A3S) equipped with Microsoft Kinect & TRADE; for real-time adjustment. The study validates the effectiveness of this approach through a simulation of assembly tasks.
Article
Computer Science, Information Systems
Christoph Holtmann, Christoph Koehler, Christian Weber, Frank Rinderknecht
Summary: This paper is an extension of a study presented at the ICMT 2021 conference, focusing on the concept, design method, and model of a hybrid brake with additional validation. By utilizing a disc spring between the rotor and stator, the eddy current brake is extended to a hybrid brake, and the model and design method of the disc spring are emphasized. The investigation includes wear reduction compared to conventional friction brakes and the dynamic behavior based on spring parameters.
Article
Engineering, Mechanical
Hu Ling, Dejian Meng, Lijun Zhang, Birui Li
Summary: In this paper, the influence of initial topography on the thermoelastic behavior of a simplified brake disc under independent thermal load is studied by experiment and simulation to explore the generation mechanism of disc buckling. The results show that the initial topography has an influence on the buckling mode. A new nonlinear thermal buckling finite element model is proposed to reproduce the 4th order buckling phenomenon in experiment, and the influence factors of initial topography are discussed.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
L. Wei, Y. S. Choy, C. S. Cheung, Henry K. Chu
Summary: The study developed two Cu-free brake materials using carbon fiber or carbon nanotube as replacements for copper fiber and evaluated their performance. Results showed that the COFs of Cu-free materials were lower at low and medium loads, but comparable at high loads. The specific wear rates were higher for Cu-free materials, but the use of carbon fiber reduced particle emissions. Brake squeal noise was comparable for all materials.
Article
Engineering, Mechanical
Pier Giuseppe Anselma, Giovanni Belingardi
Summary: This study proposes a multi-objective optimal computer-aided engineering (CAE) methodology for designing hydraulic brake systems in electric vehicles. The particle swarm optimization (PSO) algorithm efficiently explores the design space. The front-wheel drive (FWD) powertrain layout appears to be more favorable in terms of electrical energy recovery during braking compared to the rear-wheel drive (RWD) option.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Engineering, Mechanical
Mulugeta H. Woldemariam, Giovanni Belingardi, Alem T. Beyene, Daniel T. Reda, Ermias G. Koricho
Summary: Fiber reinforced plastic materials can be customized according to the application, and the inclusion of nanoclay was found to significantly improve the interlaminar fracture toughness of the composite material. The research provides insight into the contribution of Cloisite filler in enhancing delamination resistance and can guide the design of structures made from composite materials.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Matteo Spano, Pier Giuseppe Anselma, Daniela Anna Misul, Giovanni Belingardi
Summary: This research uses a multi-objective particle swarm optimization algorithm to find the optimal layout of a hybrid electric vehicle powertrain, aiming to maximize fuel economy capability and minimize production cost. The results show that different powertrain layouts may be suggested by assigning different weights to sizing targets related to fuel economy and production cost, respectively, to achieve higher fuel economy or lower production cost.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Pier Giuseppe Anselma, Giovanni Belingardi
Summary: This paper presents a methodology for sizing the fuel cell electrified propulsion system for heavy-duty trucks to minimize the total cost of ownership. Comparisons with battery electric powertrain option show that the latter is more appealing in the present cost scenario. However, the proposed methodology demonstrates the economic viability of fuel cell electrified trucks in the future cost scenario.
Article
Mechanics
Alberto Ciampaglia, Raffaele Ciardiello, Federico Cesano, Giovanni Belingardi, Valentina Brunella
Summary: This study investigates the effect of carbon black dispersion on the mechanical and electrical properties of polyamide 6 and 6.6 matrices. By increasing the carbon black concentration, the elastic modulus increases by 12%. Results show that carbon black can functionalize thermoplastic polymers by activating conductive networks, with a percolation threshold of 13% wt. The sensitivity of conductivity to mechanical strain is analyzed in both direct and alternate current, and a novel model for estimating the material's gauge factor variation with applied electric frequency is proposed.
COMPOSITE STRUCTURES
(2023)
Article
Energy & Fuels
Alberto Ponso, Angelo Bonfitto, Giovanni Belingardi
Summary: The increasing popularity of electric vehicles (EVs) can be attributed to the growing environmental awareness and government incentives. However, the limited range and extended charging time of EVs, along with the scarcity of charging stations, pose challenges to widespread adoption. To address this, EV manufacturers are developing route planners that consider range and charging station availability. This article introduces an innovative route planning method that takes into account battery health, temperature, and driving style, and selects charging stations along the planned route that can be reached with the available battery energy. Simulations were conducted to verify its effectiveness, considering factors such as declared range, battery health, external temperature, and driving style, and highlighting the risk of running out of battery before reaching the destination.
Article
Energy & Fuels
Edoardo Lelli, Alessia Musa, Emilio Batista, Daniela Anna Misul, Giovanni Belingardi
Summary: The present study investigates the use of machine learning algorithms to estimate the state of health (SOH) of high-voltage batteries in electric vehicles. The analysis is based on open-circuit voltage (OCV) measurements from 12 vehicles with different mileage conditions and focuses on establishing a correlation between the OCV values, the energy stored in the battery, and the battery SOH. Among the evaluated algorithms, random forest (RF) exhibits the best performance in predicting the state of health of high-voltage batteries. The findings of the study will contribute to the development of efficient maintenance strategies, thus reducing the risk of unexpected battery failures.
Article
Engineering, Mechanical
Giovanni Belingardi, Alessandro Scattina
Summary: This paper focuses on the necessary architectural modifications to the car body in order to accommodate the battery pack for electric vehicles. The positioning of the battery pack is crucial due to its size, weight, and cost. Various solutions and sketches are presented, with a preference for locating the battery housing below the passenger compartment floor for safety, maintenance, and performance reasons. The integration of the battery pack's housing structure with the vehicle floor creates a sandwich structure that can improve the body's stiffness and impact protection.
Article
Mechanics
Valentina Giammaria, Giulia Del Bianco, Elena Raponi, Dario Fiumarella, Raffaele Ciardiello, Simonetta Boria, Fabian Duddeck, Giovanni Belingardi
Summary: In this study, finite element analysis was used to optimize and predict the behavior of flax/epoxy composite laminates under low-velocity impact. The optimization process aimed to find an optimal parameter configuration that is less sensitive to variations in impact energy, using surrogate modeling techniques. The results demonstrated the potential of surrogate-based optimization in identifying material parameters and provided a characterization of the studied composite configuration for future applications.
COMPOSITE STRUCTURES
(2023)
Article
Polymer Science
Raffaele Ciardiello, Dario Fiumarella, Giovanni Belingardi
Summary: The mechanical properties of glass-fibre-reinforced composite (GFRP) plates made of twill fabric and a thermoplastic recyclable infusion resin were evaluated through mechanical testing. The results showed that the considered thermoplastic resin, ELIUM®, can be infused using properly tuned vacuum techniques. X-ray microtomography analysis revealed that the produced laminates were defect-free, different from what was reported in the literature. The mechanical properties of the GFRP laminates were enhanced with higher vacuum pressures and were not influenced by degassing the resin before infusion.
Proceedings Paper
Engineering, Industrial
Pier Giuseppe Anselma, Waiyuntian Lou, Ali Emadi, Giovanni Belingardi
Summary: This paper proposes an approach to solve the overtaking planning problem by developing an energy-saving ACC algorithm, achieving significant improvements in terms of passenger comfort in different overtaking scenarios.
2022 IEEE 31ST INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE)
(2022)
Review
Engineering, Mechanical
Filippo Germanetti, Dario Fiumarella, Giovanni Belingardi, Alessandro Scattina
Summary: This paper provides an overview of the most commonly used injury criteria and metrics in the study of vehicle passive safety, focusing on those applicable to finite element simulations and Human Body Models. It helps in choosing the appropriate injury criteria for assessing vehicle passive safety.
Proceedings Paper
Engineering, Aerospace
Alessia Musa, Pier Giuseppe Anselma, Matteo Spano, Daniela Anna Misul, Giovanni Belingardi
Summary: This study proposes a deep learning-based approach combined with vehicle communication technology for real-time cooperative adaptive cruise control (CACC) and trains a gated recurrent unit (GRU) for control. Experimental results demonstrate that the trained GRU can achieve ecofriendly driving in CACC without compromising passenger comfort and safety requirements.
2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022)
(2022)
Article
Materials Science, Multidisciplinary
Giulio Piazza, Matthew Burczyk, Marco Gerini-Romagnoli, Giovanni Belingardi, Sayed A. Nassar
Summary: This paper experimentally investigates the influence of Thermally Expandable Particle (TEP) adhesive additive on the mechanical and reversibility performance of epoxy-bonded load single lap joints (SLJs). The study finds that TEP can reduce adhesive strength and lead to joint debonding, while also displaying reversible performance under certain conditions.
JOURNAL OF ADVANCED JOINING PROCESSES
(2022)
Article
Materials Science, Multidisciplinary
Lorenzo Vigna, Andrea Calzolari, Giuseppe Galizia, Giovanni Belingardi, Davide Salvatore Paolino
Summary: The diffusion of fiber reinforced plastics in crashworthiness applications is increasing due to their excellent balance between high mechanical performances and low weight. This study investigated the effects of impact velocity and fixture friction on the Specific Energy Absorption (SEA) of carbon fiber reinforced epoxy plates, using a new fixture and drop tower testing machine. It was found that clamping force influenced the friction level and SEA values, while impact velocity had no significant effect on the results. Applying a PTFE coating reduced the friction force and avoided overestimation of SEA.
FORCES IN MECHANICS
(2022)
