Semantic Approach for Evaluation of Energy Storage Technologies under Fuzzy Environment by Dega Nagaraju, C. Chiranjeevi, Y. Rajasekhar, Senthil Kumaran Selvaraj, Utkarsh Chadha, R. Nagalakshmi, Velmurugan Paramasivam

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Thermal cracking of effective decontamination and recycling of lubricating oil: mechanisms, conditions, and performance enhancements by Nafeena Abdul Munaf R, Senthil Kumar Kandasamy, Bakkiyaraj M, Dheeraj Kumar Gara, Abdul Munaf A

“…Thermal cracking of SAE 40 lube oil contamination is a critical process for maintaining the efficiency and longevity of industrial machinery and automotive engines. This study investigates the mechanisms and outcomes of thermal cracking as a method to decompose and remove contaminants from lube oil (SAE40) and investigates the possibility of the use of solid coke produced as residue after the cracking process. …”
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Measurement of Microvibration by Using Dual-Cavity Fiber Fabry-Perot Interferometer for Structural Health Monitoring by Dae-Hyun Kim, Jin-Hyuk Lee, Byung-Jun Ahn

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Fabrication, mechanical and wear properties of Aluminum (Al6061)-silicon carbide-graphite Hybrid Metal Matrix Composites by G.B. Veeresh Kumar, P. S. Shivakumar Gouda, R. Pramod, N.D. Prasanna, H.S. Balasubramanya, S.M. Aradhya

“…In recent times, the use of aluminum alloy-based Hybrid Metal Matrix Composites (HMMCs) is being increased in aerospace and automotive applications. HMMCs compensate for the low desirable properties of each filler used. …”
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Equal Channel Angular Extrusion Simulation of High-Nb Containing β-γ TiAl Alloys by Lai-qi Zhang, Xiang-ling Ma, Geng-wu Ge, Yong-ming Hou, Jun-zi Zheng, Jun-pin Lin

“…TiAl alloys containing high Nb are significantly promising for high-temperature structural applications in aerospace and automotive industries. Unfortunately the low plasticity at room temperature limits their extensive applications. …”
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Energy management in autonomous hybrid electric vehicles: A review by Abid H., Kissaoui M., Raihani A., Zaggaf M.H.

“…Hybrid electric vehicles represent a critical step toward sustainable automotive technology. The integration of Advanced Driver Assistance Systems introduces complex challenges in energy demand and management, making Energy Management Systems crucial for optimizing this integration and ensuring overall vehicle efficiency. …”
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Exhaust Emissions and Physicochemical Properties of Hydrotreated Used Cooking Oils in Blends with Diesel Fuel by Iraklis Zahos-Siagos, Dimitrios Karonis

“…The blends’ properties have been assessed comparatively to European EN 590 and EN 15940 standards (concerning conventional automotive diesel fuels and paraffinic diesel fuels from synthesis or hydrotreatment, resp.). …”
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Navigating the Handover: Reviewing Takeover Requests in Level 3 Autonomous Vehicles by Joel Andrew Miller, Soodeh Nikan, Mohamed H. Zaki

“…Autonomous vehicles (AVs) represent a transformative advance in automotive technology, promising increased safety and efficiency by reducing human error. …”
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Exploring Multi-Scale Thermal Behaviour in Pin-on-Disc Systems for Organic, Metallic, Ceramic, and Polymer Composites by Hemant Nagoriya, Gaurav Arora

“…Consequently, these findings suggest that Kevlar epoxy shows promise in serving as a future brake pad material for the automotive industry. The multi-scale study on different materials focusing on the use of computational results for replacing the traditional brake pad material with advanced composites is the novelty of the study.…”
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A cross‐project defect prediction method based on multi‐adaptation and nuclear norm by Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng

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Parametric analysis of composite tubular adhesive joints bonded by the bi-adhesive technique by André Lima Faria, Raul Duarte Salgueiral Gomes Campilho

“… Adhesive bonding plays a fundamental role in various industries, including aerospace, aeronautics, and automotive sectors. Unlike traditional mechanical joints, adhesive joints offer an efficient approach with fewer components, leading to weight reduction in the final structure. …”
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Experimental Implementation of an Algorithm for Real Time Compensation of Phase Current Sensors DC Offset in Field Oriented Controlled PMSM Drives by Ciro Attaianese, Matilde D'Arpino, Mauro Di Monaco, Luigi Pio Di Noia

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Dynamic response-based isogeometric analysis of graphene platelets-reinforced functionally graded triply periodic minimal surface plates supported by Pasternak foundation by Ngoc-Tu Do, Huu Trong Dang, Trung Thanh Tran, Nguyen Vinh Du, Quoc Hoa Pham

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Machinability studies on metal additive manufactured 316L stainless steel using electrochemical machine by Rajan Natarajan, Shanmugapriyan Kanagaraj, Thangavel Palaniappan, Deepa Dhanaskodi

“…This material is used in prototyping in the automotive, aerospace, jewellery and biomedical industries, where customized components for individual circumstances are required. …”
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Dynamic Characteristics Analysis of Vehicle Incorporating Hydraulically Interconnected Suspension System with Dual Accumulators by Shengzhao Chen, Bangji Zhang, Boyuan Li, Nong Zhang

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Information security vulnerability scoring model for intelligent vehicles by Haiyang YU, Xiuzhen CHEN, Jin MA, Zhihong ZHOU, Shuning HOU

“…More and more electronic devices are integrated into the modern vehicles with the development of intelligent vehicles.There are various design flaws and vulnerabilities hidden in a large number of hardware, firmware and software.Therefore, the vulnerabilities of intelligent vehicles have become the most important factor affecting the vehicle safety.The safety of vehicles is seriously affected by the disclosure of a large number of vulnerabilities, and the wide application of smart cars is also restricted.Vulnerability management is an effective method to reduce the risk of vulnerabilities and improve vehicle security.And vulnerability scoring is one the important step in vulnerability management procedure.However, current method have no capability assessing automotive vulnerabilities reasonably.In order to handle this problem, a vulnerability scoring model for intelligent vehicles was proposed, which was based on CVSS.The attack vector and attack complexity were optimized, and property security, privacy security, functional safety and life safety were added to characterize the possible impact of the vulnerabilities according to the characteristics of intelligent vehicles.With the machine learning method, the parameters in CVSS scoring formula were optimized to describe the characteristics of intelligent vehicle vulnerabilities and adapt to the adjusted and new added weights.It is found in case study and statistics that the diversity and distribution of the model are better than CVSS, which means the model can better score different vulnerabilities.And then AHP is used to evaluate the vulnerability of the whole vehicle based on the vulnerability score of the model, a score is given representing the risk level of whole vehicle.The proposed model can be used to evaluate the severity of information security vulnerabilities in intelligent vehicles and assess the security risks of the entire vehicle or part of the system reasonably, which can provide an evidence for fixing the vulnerabilities or reinforcing the entire vehicle.…”
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The influence of training surface on the effectiveness of plyometric training on physical fitness attributes of volleyball players by Linling Yu, Lei Chen, Hao Guo

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Methodology of a hierarchical and automated failure analysis and its advantages by Levent Ergün, Roman Müller Hainbach, Stefan Butzmann

“…Several industries, particularly the automotive sector, are increasingly incorporating more electronics into their products. …”
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Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments by Xia Zhao, Zhao Li, Rui Fu, Chang Wang, Yingshi Guo

“…In recent years, the full-touch human–machine interaction (HMI) mode has gained popularity in the automotive market. However, little research has been conducted on how this interaction mode affects drivers’ glance behavior and lateral control ability. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

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